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    A CASE STUDY ON YANGTZE RIVER DELTA: ECOLOGICAL COMPENSATION AND MACROSCOPIC ECONOMIC EFFECTS BASED ON CGE MODEL
    LOU Wensheng, TIAN Guiliang
    Resources & Industries    2022, 24 (3): 134-145.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.003
    Abstract117)      PDF(pc) (2783KB)(370)       Save
    During the long term practice of Yangtze River delta development, how to balance eco-environmental protection and economic development is a key topic for its high-quality integration. The current study has largely explored the environmental governance and ecological compensation, but quantitatively lacks of determination of ecological compensation standards, macroscopic economic effects of ecological governance. This paper, based on the traditional CGE model, introduces ecological resource into economic system as a productive element, and regards ecological environment as an independent unit with emphasizing the value contribution of ecological system in the social economy activities. Green social accounting matrix (SAM) is established on the basis of ecology element, and macroscopic CGE model is built according to ecology element input and ecological system account. This paper uses Yangtze River delta data to correct the ecological values accounting pricing system, a quantitative tool in marking its ecological servicing values in Yangtze River delta. SAM is employed to study the impacts of ecological compensation at different levels on macroscopic economy form GDP, residents' income, companies' income, governmental income and residents' consumption levels. The results show that increment of four scenarios, value-added taxation rate, transfer payment rate of residents to eco-environment, and that of companies to eco-environment, and that of governments to eco-environment can increase ecological compensation, but the aftermath varies if at the sample increment by means of different approaches. Taking increment at 30% as an example, transfer payment rate of governments to eco-environment largely improves the ecological compensation level with an increment by 10.01%, on the top among the four scenarios, followed by transfer payment rates of companies to eco-environment and residents to eco-environment, with increment by 2.77% and 1.01%, respectively. And the last one is increment of value-added taxation rate, only by 0.77%. Compared with other policy tools, increment of value-added tax will largely impact GDP and residents' welfare level. GDP will drop by 0.002 5% and residents' welfare level will drop by 0.002 7% if vale-added tax is increased by 30%.
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    COSTS COMPOSITION AND CHARGING STANDARDS DURINGLAND REHABILITATION PLANNING
    WANG Jin-man, BAI Zhong-ke
    Resources & Industries    2010, 12 (6): 84-89.  
    Abstract2234)      PDF(pc) (1448KB)(2841)       Save

    By comparing the production construction projects land rehabilitation and land consolidation, and development construction project water-soil conversation, this paper establishes a framework of land rehabilitation cost, and sets up the charging standards, which can provide a reference in cost estimation during land rehabilitation planning.The land rehabilitation costs mainly cover projects and biological measures, facilities, other costs, basic deposits, risk cost and price difference deposits.Project costs include construction measure and biological measure, and other cost needs measure maintenance cost and rehabilitation supervision cost, and some specific projects like metallic mines need risk deposits. Land rehabilitation is based on a dynamic project investment, and the basic deposit rate is higher.

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    TEMPORAL-SPATIAL EFFECTS OF DIGITAL ECONOMY ON HIGH-QUALITY ECONOMIC DEVELOPMENT BASED ON GTWR MODEL

    YIN Qingmin, LIN Yinyin
    Resources & Industries    2024, 26 (1): 86-99.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.005
    Abstract29)      PDF(pc) (2186KB)(132)       Save
    As digital technologies and digital industries are advancing, digital economy becomes a new drive to a high-quality economic development. Study on their relation is of strategic importance in promoting provincial high-quality economic development. This paper, by means of China’s 30 provinces/cities’ 2014 to 2020 panel data, uses entropy weighted TOPSIS to comprehensively score digital economy and high-quality economic development, applies spatial auto-correlation test and hotspot to analyze their spatial distribution on the basis of their temporal-spatial instability, and employs GTWR model to discuss their temporal-spatial response law between digital economy and China’s provincial high-quality economic development, and analyzes the path of digital economy to a provincial high-quality economic development. Digital economy has a strong spatial auto-correlation with high-quality economic development, with their hotspots concentrating on central and eastern China, and cold spots on western China. The spatial concentrating intensity of digital economy is diminishing while that of the high-quality development is maintained at a high level. Digital economy can outstandingly promote a high-quality economic development with impacting factor of temporal-spatial heterogeneity, showing a declining trend from south-eastern coastal to northwestern continent spatially, and a diminishing provincial difference to regional coordinated development. Digital economy variably drives the sub indicators of high-quality economic development, weakest on innovative development. This paper presents suggestions on further advancing regional coordinated development of digital economy in western China, promoting high-quality economic development through innovation, and promoting provincial high-quality development through digital economy. 
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    COINTEGRATION OF GLOBAL OIL PRICE, ECONOMIC GROWTH AND CRUDE OIL CONSUMPTION CHANGE TO DOMESTIC OIL PRICE
    LU Lin-na, LEI Ya-lin, CHE Gang
    Resources & Industries    2012, 14 (3): 16-23.  
    Abstract5422)      PDF(pc) (1833KB)(1826)       Save

    China, as the second largest nation in oil consumption after the U.S., has a surging demand of oil as its economy goes fast. It becomes a hot point to study the domestic oil price fluctuation and its influencing factors. This paper, from domestic crude oil supply and demand, applies unit root test, cointegration test and error correction models to study the influence on domestic crude oil price fluctuation, with results showing a cointegration between domestic oil price rising rate and global oil price rising rate, GDP rising rate, domestic crude oil consumption rate, with the later casting a stronger influence in long term than in short term, and the last domestic crude oil price rising rate casting a stronger influence in long term than in short term. The domestic crude oil price fluctuation is jointly limited by global crude oil price, GDP, domestic crude oil consumption and shows a longterm stability.

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    Cited: Baidu(5)
    CHINA'S LITHIUM RESOURCE DEVELOPMENT ACTUALITY AND APPROACHES
    Li Kang, Wang Jian-ping
    Resources & Industries    2016, 18 (1): 82-86.   DOI: 10.13776/j.cnki.resourcesindustries.20151230.008
    Abstract10360)      PDF(pc) (1168KB)(21157)       Save
    This paper, based on China's lithium resource development actuality, analyzes its issues, and presents suggestions for its sustainable development. Chinas lithium resources are mostly concentrated in Tibet, Xinjiang, Qinghai, Sichuan and Jiangxi. The major types are rock type and brine type. As brine lithium has been developed in recent years, China has been a lithium resource country. Due to many factors, China has a poor development extent and is highly dependent upon imported lithium.China is also the biggest lithium consumer. Issues in China's lithium industry include poor technology, irrational industrial structure, poor development extent of brine lithium, low recovery in processing and recycling, environmental pollution. This paper presents suggestions on adjusting policies, optimizing industrial structure, intensifying cooperation among companies, establishing industrial association, boosting production technology, increasing recovery and focusing on environmental protection.
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    DEVONIAN SEDIMENTARY SYSTEM AND SHALE-GAS PROSPECTING ZONE OF NANPANJIANG BASIN 
    XIN Yunlu, WANG Jinzhu, JIN Chunshuang
    Resources & Industries    2018, 20 (3): 42-57.   DOI: 10.13776/j.cnki.resourcesindustries.20180615.004
    Abstract95)      PDF(pc) (7337KB)(760)       Save
    Based on on-site cross sections, regional geology, publications, this paper discusses its sedimentary system types, features and distribution of Nanpanjiang basin, and forecasts the prospecting shale-gas zones on the basis of the distribution of deep water fine grained sedimentary facies. The Devonian in Nanpanjiang basin develops river delta, where holds eight sedimentary systems, continental debris offshore, continental debris inner shelf, continental debris outer shelf, restricted platform, open platform, platform margin, slope and deep sea. In the early Devonian, there is no sedimentation in most Nanpanjiang basin except the southern Qinfang area. The transgression northward forms a widely-spreading river delta, continental debris offshore sedimentary system. During the middle Devonian, the continental land diminishes with a decreased supply of continental source, river delta-debris offshore only distributes along the land margin as deep water sedimentation largely expands. Between them is widely-spreading constrained/open platform sedimentation, featured by carbonates. Entering the late Devonian, lands diminishes further, short of continental supply. River delta-debris offshore facies only distributes the margin of Yunkai continent, between them is also the carbonate-featured constrained/open platform sedimentation. According to the distribution and buried depth of deep water facies, Nandan, Ziyun, Fushui and Guangnan area are of shale gas potentials, also Yongfu-Luzhai-Pingle-Wuxuan area is worthy attention. 
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    TEMPORAL-SPATIAL IMBALANCE OF PROVINCIAL WATER USE EFFICIENCY DYNAMIC EVOLUTION AND DRIVES BASED ON GEOGRAPHIC DETECTOR
    ZHANG Hengquan, GU Qianwen, ZHANG Chenjun
    Resources & Industries    2022, 24 (3): 81-93.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.012
    Abstract124)      PDF(pc) (5234KB)(464)       Save
    China's water resources is characterized by heterogeneously spatial distribution, low use efficiency, and severe supply-demand conflict. This paper measures China's provincial water use efficiencies, and studies their temporal-spatial evolution and driving mechanism, providing reference for China to improve water use efficiencies, to boost ecological civilization construction and sustainable development. Super-efficiency SBM model is used to estimate China's 30 provinces' (cities) water use efficiencies from 2004 to 2019, and non-parameter kernel density is applied to illustrate their temporal-spatial evolution from two levels, nationwide and eastern, middle and western regions. Spatial visualization, spatial autocorrelation and cold-hot point are employed to depict their spatial pattern evolution from spatial differentiation and spatial correlation, and geographic detector is used to explore the temporal-spatial heterogeneity of drives and interactive mechanism among drives. The water use efficiencies show a falling trend in a fluctuated manner in the whole China and in eastern, central and western, with decreasing province counts of higher efficiencies, and increasing of lower, suggesting provincial efficiency variance has experienced an enlarging-diminishing evolution. China's water use efficiency shows a distributing pattern of eastern-middle-western, downwards, spatially, existing an outstanding positive spatial auto-correlation with a high-high and low-low clustering feature, and showing a “U-shaped” evolution of strong-weak-strong. From 2004 to 2019, China's water use efficiency displays an intensifying spatial differentiation with polarization of “eastern hot-western cold”, hot ranges shrinking then dispersing, and cold ranges shrinking then stabilizing. All drives largely vary with periods and regions. Q values of drives from 2004 to 2019 has been outstandingly increased with a diminishing variance. The major drives are becoming diversified, but economic level and urbanization level are always the key drives. After any drive is interacting with the other, the both will be increased, or in a non-linear increased, indicating that the two drives can jointly will intensify the spatial differentiation of water use efficiency.
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    RESOURCE AND ENVIRONMENTAL LOAD OF REGIONS,  STATES AND CITIES IN XINJIANG
    WANG Chao GONG Xin-shu XU Wen-qian
    Resources & Industries    2009, 11 (1): 101-104.  
    Abstract2288)      PDF(pc) (1216KB)(1828)       Save

    This paper, based on a comprehensive evaluation of resource and environmental load of regions, states and cities in Xinjiang, applies the weights of each index, calculates their comprehensive loads of resource and environment, compares them based on a ranking, and analyzes the factors contributing to the different loads.

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    GREEN EFFICIENCY OF INDUSTRIAL WATER RESOURCE IN YANGTZE RIVER ECONOMIC ZONE BASED ON WATER FOOTPRINT AND SBM-MALMQUIST MODEL
    WANG Baoqian, LI Xinran
    Resources & Industries    2022, 24 (3): 21-31.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.015
    Abstract135)      PDF(pc) (1855KB)(277)       Save
    China is one of countries which have a surging water supply-demand conflict. Water resource as a necessity for human's survival and economy has always been over used. This paper studies the green efficiency of industrial water resources in Yangtze River economic zone, uses environmental pollution as negative factor based on the connotation of water resource efficiency, and re-defines and replenishes the concept of green efficiency of industrial water resource. Through theoretical and experimental analysis, this paper discusses the factors and temporal-spatial features of green efficiency of industrial water resource, and presents a path to upgrading the green efficiency. By means of blue and gray water footprints, this paper uses triple-staged super-efficiency SBM model and Malmquist-Luenberger indicators decomposition to select industrial labors, industrial fixed asset investment and blue water footprint as input variables and industrial increment as expected output variable, and gray water footprint as non-expected output variable. A green efficiency of industrial water resource index system is established to estimate their 2009—2019 green efficiencies of industrial water resource of 11 provinces (cities) in Yangtze River economic zone. Blue water footprints of the whole Yangtze River economic zone and regional has volatility, while the gray water has a downward trend. With removal of environmental factor and random errors, it is found that environmental factor obviously constrains the pure technological efficiency, leaving a room to improve to size efficiency and comprehensive technological efficiency. The factors of the whole elements productivity index changes vary with provinces and stages, but technical advance is the major one, This paper suggests that provinces in Yangtze River economic zone improve size efficiencies through their actual industries and resources and upper-down stream supply chain combination, and increase outputs and decrease water pollution from optimizing input/output elements.
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    MEASUREMENT AND TEMPORAL-SPATIAL DIFFERENTIATION OF BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER’S QUALITY DEVELOPMENT
    KE Wenlan, LI Wenhui, YAN Jingjing
    Resources & Industries    2024, 26 (1): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20240016.003
    Abstract70)      PDF(pc) (8058KB)(193)       Save
    China is entering a new era with its economy turning to quality development from rapid growth. JJJ, as a new capital economic zone, plays a key role in demonstrating city cluster’s quality development. This paper, aiming at JJJ’s coalition in developing strategy for a quality city cluster’s quality development, this paper, based on JJJ"s 13 perfectures’ 2011 to 2020 data, uses the contents of quality development to establish a comprehensive evaluation index system for JJJ city cluster’s quality development, and employs entropy-TOPSIS model to estimate JJJ city cluster’s 2011 to 2020 quality developing index, and applies coupling coordination model & spatial autocorrelation model to study its coupling coordinating level, temporal-spatial evolutionary trend and spatial concentrating effect.The coupling coordination of JJJ city cluster’s quality development shows a weak-then-strong trend, with major cities in coordination in 2011 to 2015 changing to developing cities, at a decreasing coupling coordination, but rising after 2015. The coupling has been steadily rising, 84% of JJJ’s cities are rising in their coupling, most with strong correlation among economy, eco-environment, innovation, and civilian welfare. Temporal-spatial pattern of coordination has not changed, Cangzhou, Tianjin, Tangshan and Qinhuangdao have always been at the tier 2 except Beijing seats atop. Spatial evolutionary pattern of quality development suggests Beijing, Tianjin and Langfang are in the core area of city cluster’s quality development, radiating outward to southeast, falling toward northeast. Economy, eco-environment innovation and civilian welfare are the same. JJJ’s city cluster’s quality development has a positive overall auto-correlation, cities of high quality development are geographically closer, with outstanding spatial heterogeneity, their capitals are mainly located in the promoting area, Cangzhou, Hengshui and Qinhuangdao in the transition zone, and Langfang in the radiation zone, negatively correlated. A key mission for JJJ’s city cluster’s quality development is to make up the regional developing gap. This paper presents suggestions on accelerating industrial transformation to diminish regional gap, intensifying environmental cooperation to promote green development, activating regional resources to drive innovation, and jointly constructing public services to share the dividends.
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    TEMPORAL-SPATIAL DIFFERENTIATION AND EMISSION REDUCTION STRATEGY OF JIANGSU'S INDUSTRIAL CARBON EMISSION
    LU Jiaqin, GAN Xinhua
    Resources & Industries    2022, 24 (4): 150-156.   DOI: 10.13776/j.cnki.resourcesindustries.20220401.001
    Abstract167)      PDF(pc) (3757KB)(286)       Save
    Temporal-spatial distribution of industrial carbon emission is key to making carbon emission strategy and to promoting industrial low carbon transformation. This paper, according to Jiangsu's 2010 to 2019 industrial coal, coking coal, natural gas, gasoline, kerosene, diesel oil and fuel oil data, uses carbon emission coefficient to estimate industrial carbon emission in Jiangsu's thirteen prefectures, and applies ArcGIS to draw the temporal-spatial distribution map. Spatial auto-correlation method is used to calculate the overall Moran's index of industrial carbon emission by means of Geoda software with LISA clustering map worked out. Spatial core model is used to map carbon emission core migration tracks from 2010 to 2019.Finally, this paper presents suggestions on carbon reduction. The results show a stably decreasing industrial carbon emission over the decade in Jiangsu province, obviously in unit industrial GDP, suggesting a good achievement in carbon reduction. However, industrial carbon emission varies with regions, majorities with relatively high and low emissions, and high in the south and low in the north. Each prefecture should make differentiated carbon reduction measures to avoid rigidly uniform, with emphasis on southern Jiangsu. The spatial distribution of Jiangsu's carbon emission is of outstandingly positive spatial correlation showing high-high clustering in the south and lowlow clustering in the north (except Xuzhou city), but not conspicuous in most cities. Carbon emission core has little changes, always within Yangzhou city, verifying that Jiangsu's carbon emission is still south-high-north-low.
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    EVALUATION OF TIANJIN'S OCEANIC RESOURCES ENVIRONMENTAL CARRYING CAPACITY BASED ON ENTROPY-WEIGHTED TOPSIS MODEL
    CUI Wenjing, YAN Jingjing, SHA Jinghua, et al
    Resources & Industries    2020, 22 (6): 9-17.   DOI: 10.13776/j.cnki.resourcesindustries.20201126.003
    Abstract110)      PDF(pc) (8146KB)(383)       Save
    To evaluate the key factors of Tianjin's oceanic resources environmental carrying capacity, this paper selects 27 indicators among oceanic resource system, oceanic environmental system and social economy system to establish an evaluation index system of oceanic resources environmental carrying capacity, with entropy-weighted TOPSIS model applied to evaluate Tianjin's oceanic resources environmental carrying capacity during 2007 to 2016 and its three sub-systems, key factors identified with gray correlation coefficient. In the period of 2007 to 2016, Tianjin's oceanic resources environmental carrying capacity amounts to 0.3412 to 0.5664, an intermediate level, showing a developing trend of descending-stabilizing-rising-stabiliing, descending during 2007 to 2010, stabilizing during 2010 to 2012, rising conspicuously during 2012 to 2014, and gradually stabilizing during 2014 to 2016. Tianjin's oceanic resources carrying capacity has a little change, its oceanic environmental carrying capacity shows a “V-shaped” trend and its social economic carrying capacity has a “W-shaped” trend. Gray correlation coefficient calculation indicates that key factors are annual sulfur dioxide and pollution control investment to GDP. This paper presents suggestions on rationally developing oceanic resources and developing coastal tourism aiming at improving Tianjin's oceanic resources environmental carrying capacity.
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    Governmental allowance, enterprise ESG and green innovation
    JIANG Rongmei, CHEN Guisong
    Resources & Industries    2022, 24 (6): 90-102.   DOI: 10.13776/j.cnki.resourcesindustries.20221024.003
    Abstract649)      PDF(pc) (1240KB)(336)       Save

    In order to construct a green innovative system oriented by governments, operated by enterprises and public involved, all levels of governments issue series of supportive policies via governmental allowance in powering green innovation. It has been an important research topic to study the impacts of governmental allowance on green innovation, and to maintain it as a long-term drive. This paper clarifies the relation between governmental allowance and green innovation, selects 864 Chinese A-share listed companies in Shanghai and Shenzhen from 2016 to 2020 as the research sample, uses “resources-ability-action” model to incorporate the enterprise’s ESG performance into the analysis framework of governmental allowance and green innovation, explore the impacting mechanism of governmental allowance on green innovation from the perspective of enterprise’s ESG performance, verified by fixed effect model. The results show that governmental allowance have a significant positive impact on green innovation and can directly promote the green innovation of enterprises. Governmental allowance also plays an outstandingly positive role on enterprises’ ESG, encouraging enterprises to care about environmental protection,  to fulfil social responsibilities and to increase governance performance. Enterprises’ ESG plays a partial intermediary role between governmental allowance and green innovation. Governmental allowance can impact enterprises’ green innovation through their ESG in environmental responsibilities and governance performance, but enterprises’ social responsibilities do not play a media role between governmental allowance and green innovation. Compared with a lower ESG level, governmental allowance plays a stronger role in enterprises’ green innovation under a higher ESG level. Governments shall manoeuver allowance to reach a high-quality green development, which requires governments enlarge allowance in an appropriate way to improve ESG. Use of such allowance shall be under strict supervision through a sound ESG evaluation system. Governmental allowance is suggested to be differentiated based on enterprises’ ESG levels to increase the use efficiency of governmental allowance.

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    CARBON EMISSION REDUCTION EFFECTS OF DIGITAL ECONOMIC DEVELOPMENT WITH ADJUSTMENT OF HETEROGENEOUS ENVIRONMENTAL REGULATION

    PAN Haiying, CHEN Ling, REN Jiajia
    Resources & Industries    2023, 25 (6): 1-14.   DOI: 10.13776/j.cnki.resourcesindustries.20230724.001
    Abstract84)      PDF(pc) (1358KB)(124)       Save
    As global warming is accelerating, China presents “dual carbon” goal as an attempt to transform China ‘s economic development way, which may be powered by digital economy. This paper uses China ‘s 2011 to 2019 provincial panel data to establish a spatial counting model used to study the carbon emission reduction of digital economy and adjustment of heterogeneous environmental regulations. Digital economy strongly depresses carbon emission intensity under 3 types of spatial weight matrix, and casts a negative spatial overflowing due to its diffusion and radiation, constraining the carbon emission in the surrounding areas. Mandatory environmental regulations play an adverse role on its carbon emission reduction of digital economy, while market-stimulating and public-participating environmental regulations work positively. A panel threshold model is established based on digital economic development level and economic growth level as threshold variables to study the threshold effect of digital economy on carbon emission. Digital economy has a dual threshold effect based on its level and sole threshold effect based on economic growth on carbon emission intensity, and can effectively fulfill carbon reduction over threshold values. This paper puts forward suggestions on combining traditional industries with digital technologies to develop economy, applying flexible combined environmental regulations to lead a green development for industries, speeding up construction of green data center, increasing its operating efficiency, appropriately allocating digital economic resources to reach a quality economic development.
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    IMPACTS OF SUBSIDY REDUCTION ON NEW ENERGY COMPANIES RESEARCH & DEVELOPMENT VIEWING FROM MARKET EXPECTATION ADJUSTMENT
    LIU Surong, XIE Xiaoxiao, HUO Jianglin
    Resources & Industries    2022, 24 (4): 65-76.   DOI: 10.13776/j.cnki.resourcesindustries.20220422.001
    Abstract178)      PDF(pc) (1157KB)(244)       Save
    Governmental subsidy has a close connection with new energy sectors' R&D innovation.Subsidy reduction indicates new energy sectors are at a government-oriented to market-oriented adjusting stage.Under the dual pressures of subsidy reduction and innovation upgrading, new energy companies have to switch to markets to seek new financing ways ensuring a stable R&D investment. This paper, based on China's stock-listed new energy companies' information from 2010 to 2019, uses multiple regression to study the impacts of subsidy reduction on new energy sectors' R&D, and discusses the adjustment of market expectation on the relation between governmental subsidy and companies' R&D investment. Results show that subsidy reduction plays an outstanding stimulating role on new energy sectors' R&D investment. The impact varies with natures of governmental subsidies, a little if benefits-related subsidy, but significant if assets-related. Under adjustment of market expectations, benefits-related governmental subsidy will decline or even constrain R&D investment, while assets-related subsidy will be on the contrast. Governmental subsidy shall be stably reducing, switch from all-benefits to supporting-excellence, adjust subsidy types and strength, and construct multiple subsidy mechanisms so as to help new energy sectors increase R&D investments. This paper suggests new energy companies follow the market changes, increase their innovative capacities and awareness, boost relation with financing markets, diversify financing channels, and set up a collaborative mechanism of governmental subsidy and markets on new energy companies' R&D innovation.
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    NON-LINEAR EFFECTS OF GREEN FINANCIAL DEVELOPMENT ON CARBON EMISSION FROM PERSPECTIVE OF FINANCIAL ECO-ENVIRONMENT

    PAN Haiying, ZHANG Chen, YAN Xiang
    Resources & Industries    2023, 25 (6): 15-30.   DOI: 10.13776/j.cnki.resourcesindustries.20230726.002
    Abstract90)      PDF(pc) (1323KB)(139)       Save
    In order to study if a good financial eco-environment as green financial function in carbon emission reduction, this paper uses financial eco-environment and China ‘s 2008 to 2020 provincial panel data to establish a panel threshold model to test its non-linear effect of green financial development on carbon emission. Results show that green financial development can largely depress carbon emission if no externally environmental constraints, bearing phasing features. At its rapid developing stage, green finance plays a better role. Limited by financial eco-environment, dual threshold effect exists in its impacts, it can not fulfill its functions in depressing carbon emission if under the first threshold value, but increasing if above the two threshold values. As economy, finance and governance levels are over the threshold values, green finance development displays a marginal rising role in depressing carbon emission. An abnormal “central collapsing” happens in carbon emission reduction of green financial development at regime and credit cultures. Geographically, financial eco-environment has a sole threshold effect between green financial development and carbon emission in the eastern and central-western. The eastern has an increasing function while the central-western only starts to emerge as financial eco-environmental level over the threshold values. This paper presents theoretical references for fulfilling carbon emission reduction of green finance from financial eco-environmental construction and for reaching dual carbon goal.
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    INDICATION OF HEAVY MINERALS ANOMALY OF DINGQING’S  CHROMITE DEPOSIT IN TIBET
    SUI Zhen-long, DONG Guo-chen, DONG Liang-qiong, DENG Wu-zhong
    Resources & Industries    2015, 17 (2): 78-83.  
    Abstract928)      PDF(pc) (2341KB)(825)       Save

    Chromite heavy minerals and their combination have a good response to ultrabasic chromite deposits. There are many ophiolite belts holding ultrabasic rocks in the Tibetan plateau. It is worthwhile studying the indication of heavy minerals and their combination to chromite mineralization. This paper describes the anomaly distribution of chromite and its related mineral placers, summarizes their response extent to chromite mineralization around Dingqing of Tibet based on existing data, which would provide prospecting information to find the deposit. Research proves that the natural heavy placer combinations of ultrabasic chromite deposits are chromite and chromium spinel. Based on the heavy minerals survey, their anomalies in Dingqing area mainly distribute around the suture zone, closely related with ultrabasic rocks in genesis. Chromite high anomalies are highly response to chromite deposits (occurrences). These characteristics may provide indication for prospecting chromite ore deposits.

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    RESEARCH ADVANCES OF AESTHETIC SERVICE ASSESSMENT OF ECOSYSTEM

     

    JIANG Wei
    Resources & Industries    2023, 25 (5): 96-106.   DOI: 10.13776/j.cnki.resourcesindustries.20230908.001
    Abstract28)      PDF(pc) (1204KB)(68)       Save
    Aesthetic service of ecosystem is one of cultural services between human and ecosystem, vital to human ‘s welfare, but its intangibility, subjectivity, data accessibility and lack of standard assessment process make quantitative assessment difficult. This paper, based on theoretical basis of aesthetic service of ecosystem, focusing on subjectivism and objectivism paradigms of aesthetic assessment, uses systematic method to summarize the major assessment ways of aesthetic service of ecosystem since the 21st century. As attentions on aesthetic service are increasing, assessment methods show two directions, decentralization and centralization. Decentralization is more objective in objectivism, more subjective in subjectivism, while centralization serves as a joint paradigm. This paper discusses the methods ‘ application and limitation in ecosystem management, regional planning and industrial development, and presents suggestions for future research on comprehensive modelling, temporal-spatial dimension, supply-demand analysis and values assessment.
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    DEVELOPMENT AND PROTECTION OF GEOLOGICAL RELICS IN JIANMENGUAN RESORT
    DONG Mina, XIE Xiaoping, LI Bing, WANG Fang, YANG Shuai, LI Jiali
    Resources & Industries    2019, 21 (5): 20-28.   DOI: 10.13776/j.cnki.resourcesindustries.20190927.001
    Abstract92)      PDF(pc) (10220KB)(686)       Save
    Research and evaluation of geological relics resource in development and use is of sense in spreading scientific culture. This paper, based on its situation in Jianmenguan resort, selects typical indexes and uses mathematic model to divide them into correlated sub-systems. Quantitative and qualitative analysis show abundance of geological relic types with a well spatial clustering, making it of excellent resort quality and economic values. 2001 to 2018 resort information shows that reception persons, visitors and incomes have been rising since 2010. After consolidated sales in 2016, Jianmenguan city has improved in its overall development level. This research on its geological relics resource also offers references in studying the uplift of Longmenshan thrust structure zone and formation and evolution Sichuan basin.
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    QUANTITATIVE IDENTIFICATION OF SEDIMENTARY MICROFACIES 
    ZHAO Guangyu
    Resources & Industries    2018, 20 (1): 28-33.   DOI: 10.13776/j.cnki.resourcesindustries.20180212.002
    Abstract300)      PDF(pc) (1526KB)(642)       Save
    Quantitative description of sedimentary microfacies is an effective way to study reservoir. This paper selects natural gamma and spontaneous potential logging curve to use their  root-mean-square, skewness and the average amplitude between the upper and lower within bed limit to serve as indexes in quantitative identification of sedimentary microfacies. The average amplitude of logging curve is used to classify as small and medium curve. Data skewness within bed limit is used to be a quantitative parameter to determine the curve stability and shape, which is employed to identify the stable and unstable curves. The average range of the upper and lower amplitude within bed limit is used to further ensure the morphology of logging curve. By using this method,  many microfacies such as meandering stream channel, beach, crevasse splays, natural levees and flood plain, have been identified in meandering stream deposits of Shahejie formation, Qudi oilfield, which validates this method. 
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    EMPIRICAL STUDY ON SYMBIOTIC EVOLUTION OF ADVANCED MANUFACTURING AND PRODUCTIVE SERVICING IN SICHUAN-CHONGQING AREA

    HUANG Dingxuan, WANG Mengyuan, TAN Binqiang, et al
    Resources & Industries    2023, 25 (6): 150-162.   DOI: 10.13776/j.cnki.resourcesindustries.20230814.001
    Abstract37)      PDF(pc) (2358KB)(96)       Save
    A coordinated development between advanced manufacturing and productive servicing is a crucial direction for serviced manufacturing, and a vital means for manufacturing ‘s quality development. This paper, aiming at this less studied topic in Sichuan-Chongqing area, uses Logistic symbiotic evolution model with Sichuan-Chongqing ‘s 2005 to 2020 advanced manufacturing and productive servicing data to study their symbiotic evolution from a perspective of industrial interaction. Sichuan-Chongqing ‘s advanced manufacturing is in its mature period, and its productive servicing in its developing period. The both have a symbiotic effect, an asymmetric mutual symbiotic relationship. Impacts of productive servicing on advanced manufacturing are stronger than that of advanced manufacturing on productive servicing. This paper put forward suggestions on constructing industrial coordinating mechanism between advanced manufacturing and productive servicing in Chengdu-Chongqing dual city economic zone, pushing its industrial ecological zone construction, and encouraging talents education in advanced manufacturing-productive servicing related universities-firms. This paper provides references for accurately telling their symbiotic stage of two industries, and making specific industrial policies.
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    Resources & Industries    2005, 7 (5): 0-0.  
    Abstract621)      PDF(pc) (389KB)(1799)       Save
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    EMPIRICAL STUDY ON RISING VALUE CHAIN OF CHINESE MANUFACTURING INDUSTRY UNDER “THE BELT AND ROAD” INITIATIVE
    WANG Juan, HU Jie
    Resources & Industries    2020, 22 (5): 1-9.   DOI: 10.13776/j.cnki.resourcesindustries.20200902.003
    Abstract124)      PDF(pc) (7818KB)(304)       Save
    Chinese manufacturing industry is blocked from integrating into the global value chain by two ends. “The Belt and Road” initiative provides a historical opportunity to upgrade Chinese manufacturing industry, also presents a challenge in search and design, management and brand marketing. This paper, based on DEA and VAR models to empirically study the factors and theory of rising value chain in manufacturing industry with results indicating that foreign direct investment, technical innovation and industrial servicing play the key roles, of which foreign direct investment plays the key role, followed by technical innovation and then industrial servicing. This paper presents suggestions on intensifying nation's cooperation, constructing double value chains, boosting technical innovation, exerting anti-graded transfer, transforming to manufacturing service, and supporting manufacturing servicing, which can upgrade manufacturing industry and promote China's position on manufacturing in global value chain.
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    EVALUATION AND APPLICATION OF LAKE ENVIRONMENTAL GOVERNANCE PERFORMANCE BASED ON PSR MODEL
    DU Xiaorong, LIU Yuanhang
    Resources & Industries    2022, 24 (3): 146-158.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.004
    Abstract91)      PDF(pc) (2193KB)(578)       Save
    Since “Guidelines for Implementing Lake Chief System” was issued on 1/4/2018, this policy has not been well implemented, and neither the lake environment well governed. This paper, aiming at quantitatively evaluating lake environment governance performance, uses pressure-state-response (PSR) model to establish an index system to evaluate the lake environmental governance performance from environment, economy and society, and applies analytic hierarchy process to determine the weights of indicators, and combines with fuzzy comprehensive evaluation to evaluate Gaoyou lake's environmental governance performance, Tianchang city, Anhui province. The results show its performance has a total score at 0.529 8, at a “alarming” status, and its pollution emission, eutrophication and water quality control in tier 2 indicators have scores at 0.3, such a poor level indicating the three are the root causes. In tier 3 indicators, solid waste discharge intensity, water-soil erosion rate, population density, population urbanization level, comprehensive nutrition index, solid waste processing rate, key potable water sources quality qualification are below 0.5, suggesting a poor handling of solid wastes which leads to a larger water-soil erosion, a eutrophicating state and a unqualified water quality. This paper presents suggestions on controlling pollution at the source and water-soil erosion, focusing on eutrophication, setting up information controlling platform, promoting a coordinated development of population and environment, boosting a combination of lake performance results with responsibilities, and establishing a unified Gaoyou lake chiefs system to improve lake environmental governance performance.
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    AN APPROACH CHINA'S 2030 CARBON PEAK BASED ON SD MODEL ON ECONOMY, ENERGY AND CARBON EMISSION SYSTEM
    DU Yan, HU Xinyang
    Resources & Industries    2022, 24 (5): 19-28.   DOI: 10.13776/j.cnki.resourcesindustries.20221013.002
    Abstract252)      PDF(pc) (2230KB)(231)       Save
    This paper uses system dynamics model to interactively simulate China's carbon emission evolution trend of energy consumption during 2020 to 2050 under three scenarios. Comprehensive control scenario is set at the benchmark to study the impacts of economic,population and energy changes on gross carbon emission, and to discuss the premium approach to carbon peak. Caron peak values are forecasted to be 1.62, 1.33 and 1.14 times of 2020 under benchmark, low carbon and comprehensive control scenarios, respectively, and will reach the carbon peak in the years of 2038, 2030 and 2027 under the three scenarios, largely impacted by GDP growth rate per capita, scientific-technical inputs, proportions of the second and the third industries, fossil energy proportion and energy consumption intensity. Carbon peak is forecasted to be the nearest under the comprehensive control scenario, with minimum carbon emission peak value, a practical premium plan. The optimized approaches to carbon peak needs to be based on determining appropriate GDP growth rate per capita, boosting scientific-technical inputs, decreasing the second and the third industries proportion, adjusting energy structure and decreasing energy consumption intensity.
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    RELATION AMONG ENVIRONMENTAL PROTECTION TAX, TECHNICAL INNOVATION AND MANUFACTURING PERFORMANCE UNDER MODERATED MEDIATION
    ZHANG Qian, MEI Yali, WANG Kui
    Resources & Industries    2023, 25 (3): 107-120.   DOI: 10.13776j.cnki.resourcesindustries.20230426.002
    Abstract129)      PDF(pc) (1258KB)(135)       Save
    Technical innovation has become an important approach to economic development and eco-environmental carrying capacity to meet grim environmental challenges. Environmental protection tax is key to green economic transformation, and provides opportunities for manufacturing industry in green harness and promoting performance.This paper, based on Porter hypothesis and China ‘s listed manufacturing companies' data from 2009 to 2020, establishes a regression model adjusted by stock option and executive package incentives,with technical innovation as mediation, which is used to verify the effects of environmental protection tax on manufacturing performance and technical innovation. Results show that environmental protection tax is notably positive with manufacturing performance at 1% level, suggesting the tax improves performance. Environmental protection tax pushes technical innovation to increase performance level. Technical innovation partially plays a mediation between its environmental protection tax and manufacturing performance, and stock option and executives package incentives play a negative mediation: the higher stock option and executive package incentives, the lower the manufacturing performance from environmental protection tax on technical innovation. Imposing environmental protection tax has initially gained achievements, providing references to further reform environmental protection tax and improve manufacturing performance level. This paper presents suggestions for governments on continuously optimizing environmental protection tax, providing policy and regime guarantee in boosting environmental protection and promoting manufacturing industry's green transformation and upgrade, and for manufacturing industry on fulfilling technical innovation, conducting green harness to reach a quality development.
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    Resources & Industries    2004, 6 (5): 0-0.  
    Abstract726)      PDF(pc) (146KB)(4412)       Save
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    ISSUES OF AND APPROACHES TO DEVELOPMENT AND UTILIZATION  OF MEDICAL MINERALS IN CHINA
    ZHANG Yang
    Resources & Industries    2008, 10 (6): 72-75.  
    Abstract2162)      PDF(pc) (1225KB)(1828)       Save

    Medical minerals are a part of non-traditional mineral resources. This paper studies the medical minerals from a view of industrial economy, lists the commonly-used medical minerals in categories, discusses the utilization, analyzes the issues in utilizing the medical minerals, and presents some approaches to the sustainable development.

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    STANDARD IN ACCOUNTING REDUCTION OF CRUDE OIL PRODUCTION CAPACITY 
    FAN Zhe-yuan, ZHAO Qing-fei
    Resources & Industries    2017, 19 (4): 22-27.   DOI: 10.13776/j.cnki.resourcesindustries.20170728.008
    Abstract131)      PDF(pc) (1090KB)(475)       Save
     Accounting reduction of crude oil production capacity as a significant part in determining crude oil production capacity determines the rationality of reduction work. To avoid such two cases of more reduction in old mining area when actuality is better than planned and of less reduction when actuality is lower than planned, this paper uses ARPS model to establish a theoretical model of accounting reduction rate of crude oil production capacity and reduction reliability, which is used to draw a plot that can be referred to determine the rationality of accounting reduction in different oilfields or developing units. There is a theoretical connection between accounting reduction rate of crude oil production capacity and comprehensive declining rate and accounting reduction rate should be, not related to natural declining rate, bigger than comprehensive declining rate. The reliability of accounting reduction of crude oil production capacity is 1.7-1.8 if annually comprehensive declining rate is less than 20%. A case study on east zone of Wangji Oilfield, Henan province proves the rationality of crude oil production capacity indexes and accounting reduction rate in this block. 
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    LOW CARBON COMMUTING BEHAVIORS OF URBAN RESIDENTS BASED ONPLANNING BEHAVIOR THEORY AND ENVIRONMENTAL VALUES
    LIAO Hungyi, KE Biao
    Resources & Industries    2020, 22 (4): 64-70.   DOI: 10.13776/j.cnki.resourcesindustries.20200226.004
    Abstract175)      PDF(pc) (6363KB)(294)       Save
    As concept of low carbon prevails, green consumption catches attention. This paper, based on planning behavior theory and personal environmental views, surveys 176 Xiamen residents via questionnaire, and establishes a low carbon commuting behavior factor model of urban residents, which is verified through cases. Environmental values positively impact low carbon commuting attitude (β=0.482); low carbon commuting will is positively impacted by low carbon commuting attitude (β=0.166), low carbon subjective code (β=0.237), and low carbon commuting consciousness control (β=0.460), of which the latter imposes the most. Low carbon commuting behavior is positively impacted largely by low carbon commuting will (β=0.430), and by low carbon commuting consciousness control (β=0.243). This paper presents suggestions for government to improve low carbon commuting behavior of urban residents from establishing correct environmental values, cultivating active low carbon commuting attitude, intensifying low carbon commuting subjective code, boosting low carbon commuting consciousness control and increasing low carbon commuting will.
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    CARBON DIOXIDE EMISSION REDUCTION AND UTILIZATION TECHNOLOGY IN CHINA
    LUO Jin-ling, GAO Ran, HUANG Wen-hui, HO Da, WANG Yan-ning
    Resources & Industries    2011, 13 (1): 132-137.  
    Abstract2050)      PDF(pc) (1324KB)(3138)       Save

    To reduce and ultimately control carbon dioxide emission during energy production and utilization is a challenge for China’s energy production. This paper, based on increasing energy utilization efficiency and conversion efficiency, capturing, separating and using carbon dioxide, discusses the technical trend of carbon dioxide reduction, and provides a reference for carbon dioxide emission reduction and utilization in China. During combustion, it is key to reduce carbon dioxide, which can be achieved through rinsing and cleaning coal technologies. Pre-combustion capture, chemical-looping, absorption separation are effective in separating and capturing carbon dioxide. Geological sealing of carbon dioxide including oil-gas reservoir sealing, deep saltwater layer sealing, coal sealing and deep sea sealing, of which oil-gas reservoir sealing along with enhanced oil recovery (EOR) is the best way. China will surely make achievements in carbon dioxide reduction as supported by techniques.

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    INFLUENCE OF CORPORATE SOCIAL RESPONSIBILITY ON CROSS-NATION MERGEAND ACQUISITION PERFORMANCE BASED ON THE DATA OF SHANGHAI AND SHENZHEN A-SHARE LISTED COMPANIES
    ZHANG Ying, QIU Xiaoxue
    Resources & Industries    2020, 22 (6): 55-65.   DOI: 10.13776/j.cnki.resourcesindustries.20201126.005
    Abstract142)      PDF(pc) (9078KB)(626)       Save
    In an attempt to avoid cross-nation merge and acquisition (M&A) risks of Chinese enterprises due to corporate social responsibility and to balance the interests and social responsibility, this paper uses 109 successful cross-nation M&A cases of Shanghai and Shenzhen A-share listed companies during 2009 to 2017 to study the influence of corporate social responsibility on cross-nation M&A performance via theories of stakeholder, social contract and entrust, also considers the adjustment of enterprise ownership, industrial consistency and cross-nation M&A experience. Multiple regression model shows a positive influence, subject to a negative adjustment of state-owned ownership and cross-nation M&A experience, as well backed by industrial consistency when the M&A both sides belong to the same domain. This paper presents suggestions for Chinese enterprises disclosing their social responsibilities and adopting global standards, and making strategies for corporate social responsibilities through global public affairs companies. This conclusion offers references for Chinese enterprises on performing social responsibilities and provides a new theoretical viewing angle for research on factors of cross-nation M&A performance.
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    EVOLUTIONARY MECHANISM OF SUPPLY-DEMAND DEPENDENCE NETWORK OF CHINA ‘S NEW ENERGY VEHICLE INDUSTRY
    LI Yang, LI Huajiao, FENG Sida
    Resources & Industries    2023, 25 (3): 69-81.   DOI: 10.13776j.cnki.resourcesindustries.20230427.002
    Abstract145)      PDF(pc) (4591KB)(179)       Save

    China ‘s new energy vehicle industry is expanding as a strategic emerging industry and has become an important force in industrial upgrading. Its supply chain has been prolonged, detailed, and its industrial structure has been developing. Uncertain external environment and increasingly complicated internal structure make it important to understand the evolutionary mechanism and developing law of new energy vehicle industry. This paper, aiming at exploring the endogenous development mechanism of China ‘s new energy vehicle industry, uses China ‘s new energy vehicle trading data from 2008 to 2020 to establish a supply-demand dependance network among listed companies of this industry, and studies its evolutionary characteristics. Empirical research is carried out to verify evolutionary mechanism of the supply-demand dependance network based on financial data and public sentiment data, via stochastic actor-oriented model from three dimensions of endogenous network structure, situation factors and company attributes. China ‘s new energy vehicle industry shows a local-centralized supply-demand dependence structure, and regional leading enterprises are boosting their abilities in controlling supply chain. Formation and evolution of industrial supply-demand dependence network is impacted by endogenous mechanism, such as preference attachment effect and triangle loop effect, and promoted by co-executive relationship. This paper presents suggestions for advancing China ‘s new energy vehicle industry on regional commercial cooperation, optimizing co-executive relationship and caring vulnerable companies.Governments and professional associations should continue boosting industrial cluster construction and supporting regional integration on policies and standards, enhancing free migration of capital, technical and industrial data.Industrial policies are adjusted to optimize industrial demand-supply relation through constraining or promoting co-executive relationship.Tracking commercial sentiment can recognize potential dependance relation, comprehend industrial network dependance structure, helpful in directing investment and recognizing risks. Governments shall take care of vulnerable companies, be vigilant on industrial structural imbalance, and also pay attention to notable companies with higher standard operating code and supervision, fully disclosing their financial information.

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    INDUSTRIAL VIEWS ON HIDDEN CARBON EMISSION OF CHINA'S EXTERNAL TRADING
    WANG Baoqian, GE Yuxiang, CHEN Pan, 2019
    Resources & Industries    2019, 21 (4): 3-11.   DOI: 10.13776/j.cnki.resourcesindustries.20190605.009
    Abstract93)      PDF(pc) (9307KB)(526)       Save
    Carbon estimation hidden in trading is a vital basis for adjusting import/export trading, improving resources use rate and realizing low carbon economy. This paper uses multiple regional input/output to establish a hidden carbon estimation model for bilateral trading from the perspective of industry. It is applied to estimate the net hidden carbon emission between China's bilateral trading with America, Germany, Japan, South Korea, Australia, Russia, India and Brazil by means of WIOD's data from 1997 to 2011, with results showing a net hidden carbon import in bilateral trading between China and America, Germany, Japan and South Korea, a coexisting net carbon import & export between China and Russia, India and Brazil. China generally uses a trading strategy of exchanging carbon emission reduction for trading surplus and exchanging trading deficit for carbon emission reduction. In order to reduce hidden carbon emission, this paper suggests China shall set up carbon emission trading market, consolidate high pollution industries, optimize import/export trading structure and promote imports of high carbon industries and exports of low carbon industries.
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    BENCHMARKING-ORIENTED URBAN GREENHOUSE GAS ACCOUNTING METHODOLOGY FRAMEWORK IN CHINA
    GAO Yuan, LIU Gengyuan, CHEN Caocao, et al
    Resources & Industries    2022, 24 (3): 1-20.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.014
    Abstract174)      PDF(pc) (2062KB)(227)       Save
    As the largest source of anthropogenic greenhouse gas (GHG) emissions, cities are the basic unit and important space carrier to promote carbon emission reduction. In the face of increasingly severe climate challenges, on one hand, the degree of cooperation among cities is not enough, and most cities choose to conduct urban GHG emission accounting and formulate mitigation policies independently; on the other hand, there are still differences in accounting boundary, accounting content and double counting, types of GHG, and accounting methods among different urban GHG emission accounting guidelines, which increases the complexity of urban GHG emission accounting and is not conducive to the comparison of GHG emission accounting results among cities. The methodological framework for urban GHIG emission accounting is the basis for understanding and evaluating urban GHG emissions. In this paper, we reviewed the domestic and foreign urban GHG accounting standards, databases and cases, which covered the comparison and difference analysis of international urban GHG accounting standards, the application research of three different city-level GHG emission accounting perspectives (including accounting based on administrative division boundaries, cross-border infrastructure, and urban consumption respectively). The core of domestic urban and regional GHG accounting guidelines are clearly proposed to establish a framework of urban GHG emission accounting methods that are prioritized for domestic benchmarks. In the new framework, scopes 1-3 in the framework represents the urban GHG emissions from different perspectives, and reflects the urban GHG emissions to the maximum extent. The indispensability and comparability of Scope 1 emissions within administrative divisions are emphasized. Importantly, the accounting for Scope 2 and Scope 3 emissions is a specific supplement to the urban GHG emissions that are matched to fully meet the actual needs of the city. The framework solves some of the pain points. For example, the accounting boundary is within the boundary of China administrative divisions, covering 7 types of greenhouse gases, and scopes 1-3 are for different accounting emission subjects. In view of the emission sources not covered or disputed by the current urban GHG accounting guidelines, difficulty of data acquisition, uncertainty and so on, the author believes that these problems can be addressed by means of scientific and technological progress, and the impact on the urban GHG emission accounting is not major, but for the long-term development of the city, these pain points must be deeply considered and solved by the decision-making managers. It is necessary to incorporate them into the framework at first, and then gradually solve them. Benchmarking-oriented GHG accounting framework can help decision-making managers understand the flow of embodied GHG emissions between cities, determine appropriate emission reduction policies, and meanwhile consider and plan low-carbon transition paths, optimize urban management methods, and promote exchanges and cooperation between cities from the perspective of GHG emissions. Finally, this paper points out that the effective implementation of the framework requires the linkage of the whole society, multi-industry and cross-department, the overall government-enterprise-people-commerce cooperation, the close industry-university-research cooperation. 
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    GREEN DEVELOPMENT EFFICIENCY MEASUREMENT AND FACTORS OF YANGTZE RIVER ECONOMIC ZONE UNDER PERSPECTIVE OF CARBON EMISSION
    MA Jun, WU Linling, LU Yuqin
    Resources & Industries    2022, 24 (3): 71-80.   DOI: 10.13776/j.cnki.resourcesindustries.20220527.010
    Abstract187)      PDF(pc) (2844KB)(400)       Save
    Green development, an effective approach to coordinating ecological protection, promoting economic development and reducing carbon emission, is becoming an objective of global sustainable development and human's development focus. China's economy is entering a quality developing status under a rising resources and environmental pressures. Cities are centers for modern economic growth that makes green efficiency an unavoidable way in urban transformation. This paper uses super-efficiency undesired SBM model  to measure the green development  efficiency of 11 Yangtze River economic zone provinces (cities) and their temporal-spatial evolution, compared with their green developing efficiencies without consideration of carbon emission, and applies decision making trail and evaluation laboratory technology (DEMATEL) to identify the key factors. Carbon emission in Yangtze River economic zone has been rising over years, impacting the green developing efficiency. The green developing efficiency has fallen largely in the down-stream of Yangtze River under the environmental constraints. Yangtze River economic zone shows a rising green developing efficiency, varying with regions, down-, upper- and middle-stream downwards. Factors such as industrial structure, research input, openness, environmental regulations and vegetation coverage rate positively play an outstanding role in green developing efficiency under perspective of carbon emission. A low green developing efficiency lies in over resource consumption and over pollution emission. Environmentally, carbon emission is becoming a hard point for increasing green developing efficiency amid urban development. This paper presents suggestions on improving ecological environment and reaching carbon neutralization to ensure a higher resource utilization and a stronger environmental protection, helpful in building Yangtze River delta as a green integrated developing demonstration. 
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    AGRICULTURAL CARBON EMISSION EFFICIENCY AND INFLUENCING FACTORS OF SHAANXI CITIES
    FENG Fei, FENG Jiani
    Resources & Industries    2023, 25 (3): 10-18.   DOI: 10.13776j.cnki.resourcesindustries.20230426.004
    Abstract101)      PDF(pc) (1260KB)(118)       Save
    Agriculture is the second major source of greenhouse gas emission, also one of key carbon emissions. How to develop agriculture while protecting ecological environment is related to realizing high-quality agricultural development.This paper uses Shaanxi ‘s 10 prefectures ‘ panel data from 2005 to 2020, combined with super-efficiency SBM model and ML index model, to estimate their agricultural carbon emission efficiencies, and employs Tobit model to study the major influencing factors.Static agricultural carbon emission efficiency estimated by super-efficiency SBM model is rising and at a high level in Xi ‘an. It is above 1 and also at a high level in Shangluo, but consistently below 1 with no improvement in Tongchuan, Weinan and Yulin, fluctuating in other cities. Dynamic agricultural carbon emission efficiencies from ML index have improved mainly due to technical advances, which has not greatly contributed to their increase. Factors influencing agricultural carbon emission efficiency in Shaanxi ‘s cities based on Tobit model suggest a notable positive relation between agricultural economy and carbon emission efficiency, indicating the more advanced economy, the higher carbon emission efficiency.Production structure and farmland scale have an outstanding negative relation with agricultural carbon emission efficiency, implying that a lower rationalization degree of agricultural production structure, or a larger farmland scale, is not favorable for increasing agricultural carbon emission efficiency.Urbanization level and hazarded crops are generally negatively related to agricultural carbon emission efficiency.This paper presents suggestions for Shaanxi province on increasing agricultural technologies, promoting industrial structural rationalization, raising urbanization level, decreasing crop hazarded degree, and boosting a high-quality agricultural development.
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    GREEN CREDIT POLICY, ESG PERFORMANCE AND CAPITAL STRUCTURAL ADJUSTMENT OF HIGHLY-POLLUTING FIRMS
    DONG Yue, PAN Haiying
    Resources & Industries    2024, 26 (1): 75-85.   DOI: 10.13776/j.cnki.resourcesindustries.20231219.002
    Abstract21)      PDF(pc) (1319KB)(48)       Save
    Green credit policy as a vital means to remove structural leverage is much helpful for highly-polluting firms to upgrade their capital structures. ESG focusing on environment, social and governance can impact highly-polluting firms’ capital structure adjustment. This paper, based on China’s A-listed 2011 to 2020 highly-polluting firms’ ESG performance, studies the effects of green credit policy on capital structural adjustment of highly-polluting firms. Green credit policy largely promotes the capital structural adjustment of highly-polluting firms, more for high debit firms than low debit firms. Green credit policy can enhance highly-polluting firms’ ESG performances, which can weaken the effects of green credit policy on capital structural adjustment of highly-polluting firms. Implementing effects of heterogeneity of financing constraints and commercial credit on green credit policy show that green credit policy can largely boost their capital structural adjustment of highly-polluting firms with strong financing constraints and low commercial credits compared to with weak financing constraints and high commercial credits. Relation between green credit policy and capital structural adjustment of highly-polluting firms plays a big role in optimizing credit resource allocation and pushing green transformation of highly polluting firms.
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    A CASE STUDY ON XIANFENG COUNTY, HUBEI PROVINCE: LAND USE  SCENE PATTERN FEATURES BASED ON FRACTAL THEORY
    WANG Dan-tong, YUAN Chun, ZHOU Wei, et al
    Resources & Industries    2012, 14 (3): 147-152.  
    Abstract1653)      PDF(pc) (1481KB)(1499)       Save

    This paper, based on a case study on Xianfeng county, Hubei province, analyzes the land use scene pattern features by applying GIS and fractal theory. On the basis of typical scene pattern index, this paper focuses on a quantization of patch shape fractal dimension and spatial structure box dimension, shows an expanding patch area, decreasing quantity, unchanged Shannon diversity and dominance, rising Shannon average, resolution and spreading degrees in 2007—2010 land use scene pattern. Reasons are given. Patch shape fractal dimension and spatial structure box dimension show that fractal dimension can correctly reflect the complexity, stability of scene types and the intensity of human activities on scene pattern of land use impact.

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    ZAMBIA’S MAJOR ORE RESOURCES AND TYPICAL DEPOSITS
    Liu Ru-qing, Pang Si-yu.
    Resources & Industries    2013, 15 (3): 57-61.  
    Abstract1221)      PDF(pc) (1400KB)(2532)       Save

    Zambia, which is located in the central southern Africa, is abundant in metals such as gold, silver and copper, and in non-metallic minerals such as phosphorus, graphite, mica, and emerald gems as well, of which copper, cobalt, iron ore, coal and gems are big in reserves. This paper analyzes their reserves, distribution and world significance of Zambia’s copper, cobalt, iron ore, coal and gems, and introduces the features of two typical deposits, attempting to provide references for those mining enterprises who want to invest in Zambia.

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