FINE MANAGEMENT PRACTICE OF COALBED METHANE GROUND EXTRACTION ON XIANDAO-1 WELL IN SHIYUAN COAL MINE
Fine extraction is a practice in coalbed methane management by using extraction data for obtaining a high yield. When extracting coalbed methane on ground, mining coal leads to a decrease in strata energy, and a fast falling in case pressure, which needs fine extraction to secure ground extraction for a stable production. This paper, based on a case study on Xiandao-1 well in Shiquan coal mine, studies its structure, buried depth and strata pressure, and compares its geology with surrounding basin of coalbed methane, analyzes its fracturing features and conducts fine extraction management, providing references for later mass ground extraction. Five steps are planned, setting up objective of daily production up to 400 cubic meters over 30 days, understanding its occurrence and under-pressured features, conducting extraction gas-water evolution characters, planning “balanced water production stage (no gas release), controlling well bottom fluid pressure stage, stably increasing production stage, and declining stage”, controlling well bottom pressure to balance strata pressure and then to determine critical releasing pressure and water point, releasing point, gas releasing point and stably producing point. Emergency measures are also prepared through three groups in managing the process, site group, research group and decision group. A real-time response and linked decision-making strategy bring a daily gas production from 100, 200, 400, 600 and up to 1 041 cubic meters in two months. Fine extraction management is the key means for such an achievement. Mass ground gas extraction requires planning, emergency measures and flowchart, which are vital technical guarantees to ensure a good production.
EMPLOYMENT CAPACITY OF JIANGSU’S MANUFACTURING FROM PERSPECTIVES OF LAND OWNERSHIP AND SECTOR CHARACTERISTICS
Manufacturing is a vital basis for entity economy, and is China’s major industry in employment as well. In order to mitigate Jiangsu’s employment issue and to realize an ordered manufacturing, this paper, based on Jiangsu’s 317 thousand companies’ data, estimates their employees in its prefectures, counties and in different sectors, analyzes its spatial distribution, locality variance and sector difference of employment capacity, and applies multiple linear regression model to study the impacts of land ownership, sector features and other factors on manufacturing’s employment capacity. Jiangsu’s manufacturing has a large employment capacity, higher in state-owned land than in collective land. Employment capacity of Jiangsu’s manufacturing varies geographically, in a decreasing trend from south to north, both in state-owned land and collective land. Employment capacity of high-tech and strategic new manufacturing is far above Jiangsu’s average. Manufacturing in state-owned land, of high-tech and of new strategy, as well as taxation, sales income and land capacity, has an outstandingly positive impact on employment capacity, while regional economic development has a little impact. This paper presents suggestions on optimizing manufacturing layout to fulfill resources’ advantages, promoting a rational allocation among capital, labor and technology, playing a leading role of manufacturing in state-owned land, high-tech and new strategic industries, minimizing the gap of manufacturing’s employment capacity on the basis of innovative development strategy.
STRUCTURAL OPTIMIZATION OF JIANGSU’S CHEMICAL INDUSTRY CONSTRAINED BY CARBON REDUCTION AND WATER ECOLOGICAL CARRYING CAPACITY
Yangtze River economic zone, as China’s key strategic zone, is closely related to national development by its ecological restoration and resources use. Jiangsu’s chemical industry, an intensive polluting and resources-depleting industry, needs to properly handle industrial development and resources & environmental protection, which is of significance to protect Yangtze River and realize carbon reduction. This paper establishes a multiple-objective optimization model of chemical industry under dual constraints of carbon reduction and water ecological carrying capacity, and applies NSGA-II-VIKOR algorithm to discuss the way to adjust Jiangsu’s chemical industrial structure. Balanced development scenario, compared with low-carbon, water-saving and economic development scenarios, can save water of 998.48×104 m3 , reduce carbon emission intensity by 4.27%, and make GDP rising rate up to 4.73% on the basis of benchmark year 2017. Water resources are used efficiently and carbon emission is largely reduced, while economy gains high-quality development. Chemical industrial structure needs to be adjusted through developing rubber and plastics, limiting petroleum processing, coking coal and nuclear fuel processing, using water-saving and carbon-reducing measures in chemical fiber manufacturing. Optimization of chemical industry needs to promote clean energy and reform energy consuming structure, with coal use down by 5.54% and gas & electricity use up by 5.45%. Water resources allocation should be consistent with industrial structural adjustment, which can save water by 9.8% in petroleum processing, coking coal and nuclear fuel processing, and 5.14% in chemical fiber manufacturing, which can be transferred to rubber and plastics sector. This paper presents suggestions on increasing regional ecological carrying capacity to realize high-quality development, establishing clean energy consuming system to raise energy efficiency, developing water-saving industries to materialize a coordinated sustainability in industrial development and water ecology.
COUPLING COORDINATION AMONG BASIC PUBLIC SERVICES, POPULATION URBANIZATION AND ECO-ENVIRONMENT: A CASE STUDY ON GANSU’S HEXI AREA
As new urbanization rapidly advances, a variety of urban issues begin to emerge, which makes urbanization quality a key point for regional development, marked by a coordination among basic public services, population urbanization and eco-environment. This paper, based on a case study in Hexi area, Gansu province, uses entropy, coupling coordination model to measure comprehensive developing level and coordination of basic public services, population urbanization and eco-environment from 2011 to 2021, and applies obstacle model to study the factors impacting their coupling coordination in Hexi area. Hexi’s sub-systems show a rising trend, and vary with areas. Population urbanization is the fastest and the basic public service is the lowest in increment. Coupling degree of Hexi’s ternary system is larger than 0.900, suggesting a strong interaction and a slowly-rising coupling coordination from low level to medium level. Spatially, coupling coordination from high to low is in the order of Jiayuguan, Jinchang, Zhangye, Jiuquan and Wuwei. In the dual system, coordination is the highest in basic public service-eco-environment which promotes a regional development, lowest in basic public service-population urbanization against a regional development. Obstacle factors of ternary system coordination in Hexi’s five cities vary; the top three are social security and employment, urban infrastructure and health care within the basic public services. The ternary system coordination among basic public services, population urbanization and eco-environment promotes Hexi’s regional economy, but the three are still constraints. This paper presents suggestions on optimizing cities’ positioning, fulfilling resources advantages, boosting infrastructure, intensifying agriculture, developing featured industries and green industries to promote a quality coordinated development in Hexi area.
MULTI-SCENARIO DEMAND FORECAST OF RAW NICKEL IN CHINA BASED ON GRAY GM-BP NEURAL NETWORK COMPOUND MODEL
CORRELATION MEASUREMENT AND EFFECTS OF CHINA’S NEW ENERGY INDUSTRIES
ASSET VALUES MATERIALIZATION MECHANISM OF FOREST CARBON SEQUESTRATION RESOURCES FROM PERSPECTIVE OF GAINS
Asset values materialization of forest carbon sequestration resources plays a key role in obtaining the pilot objective of collective-owned natural resources asset entrust. This paper, based on a framework of situation-proposal-theory-system, studies how to materialize the asset values of forest carbon sequestration resources, providing reference for stakeholders to gain from ownership. Forest storage expansion method and market value method are used to measure the forest carbon sequestration values balance of China’s recent four times of inventorying forest resources with results showing that the balance is huge and has been steadily increasing, which explains the significance of this study. Governmental public data shows that forest carbon sequestration, owning huge values, can be converted into gains only from a small proportion. Forest administrations largely rely on governmental funding. It is vital to create new model to materialize forest carbon sequestration values, to convert balance into asset gains and to realize stakeholders’ benefits. This paper, based on the core connotation of Marxist dialectical materialism, presents a point of “gain system view” that is macroscopic, linking, and developing design. It equally treats natural resources’ economic values and asset gains, from gains to all-sharing objective. Each key step has been linked to materialize the economic values of forest carbon sequestration resource assets. Based on “gain system view”, this paper constructs the theoretical mechanism of forest carbon sequestration resource assets from overall framework, key steps and guarantees, initially forming a theoretical system which is employed to conduct system construction. Gains can be obtained through market, finance and industries, and suggestions on system optimization are given. Guarantees of gains can be through “interactive-complete entrust”, and also through “collective ownership” in distribution system from three distributions among central government, local government, enterprise and all people. Gain budget and use management should be established to make gain distribution institutional, normalized and public.
CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT
Household as the basic social unit is the major consuming entity. Carbon emission responsibilities established on consumption end are helpful to clarify the stakeholder-based dynamic mechanism for carbon reduction. The present personal carbon management has a lot of issues, with unclear carbon emission boundary, complex personal carbon trading, personal carbon reduction entangling, and lack of stable management system, which can be resolved if household end as the trading base with urban-rural household carbon account being the core. This paper aims at establishing household carbon account framework on the basis of account range, margin, measurable methods and expandable linkage between urban carbon account and personal carbon sink. This paper summarizes the research situation of personal carbon account and household carbon account, and establishes a urban-rural household carbon account system including three sub-accounts of asset, equity and debits, and determines the measure margin, sampling method and calculation of household carbon account based on China’s featured carbon emission management system. Linkage of urban-rural household carbon account to urban carbon account has been further explained, and its methods have also been designed. Relation between urban-rural household carbon account and individual carbon inclusion is differentiated. Combination of household carbon account with carbon market, “visible hand” carbon quota market with “invisible hand” carbon reduction equity market provides a new path for household consumption end carbon reduction, which may avoid overlapping responsibilities and easily link to China’s carbon management system. Urban-rural household carbon account can be a vital tool for China’s carbon management and carbon reduction, supporting carbon emission quota allocation, carbon reduction and trading, incentive mechanism design for carbon inclusion and mobilization of multi-level nested carbon reduction systems in cities.
Study on carbon emission factors and scenario prediction of Heilongjiang’s industrial sectors is of significance to reach Heilongjiang’s green low-carbon development under the background of carbon peaking and carbon neutralization. This paper uses IPCC to estimate Heilongjiang’s historical industrial carbon emission, and applies extended STIRPAT model to determine the six variables from population, economy and technology, square of GDP per capita, population scale, gross industrial production, industrial energy consumption, energy consuming efficiency and energy structure, and employes ridge regression to establish a carbon emission factor model by removing the multi-collinearity of independent variables. This paper also studies Heilongjiang’s social and economic reality from economic development, population scale, energy consumption and energy consumption efficiency, and determines the increment of independent variables combined with macroscopic policies, and predicts its 2020 to 2050 Heilongjiang’s appropriate industrial carbon emission under three scenarios, benchmark, low-carbon and highly-energy-consuming. Heilongjiang’s industrial low-carbon development is facing a huge demand for fossil energy and insufficient energy conversion efficient. Among the six factors impacting industrial carbon emission, square of GDP per capita, gross industrial production, industrial energy consumption and energy structure promote its industrial carbon emission, of which industrial energy consumption works the most, while population scale and energy consuming efficiency play on the contrast. Heilongjiang’s industrial carbon emission shows an increasing-then-decreasing evolutionary trend under the all three scenarios, varying in peaking time and heights, 71.35 millions tons in 2030 under the low-carbon scenario, 89.97 millions tons in 2035 under the benchmark scenario, and 123.68 millions tons in 2045 under the highly-energy-consuming scenario. This paper presents suggestions on largely adjusting industrial energy use structure, focusing on energy technical conversion and upgrade, and perfecting low-carbon green policies.
SPATIAL IMBALANCE AND DYNAMIC EVOLUTION OF CHINA’S LOW-CARBON ENERGY CONSUMPTION STRUCTURE
It is a key step to study China’s low-carbon energy consumption structural trend and to measure its spatial imbalance in advancing energy reform and green development. This paper, based on 2003 to 2020 energy consumption panel data of Chinese provinces/cities, uses Theil Index and spatial auto-correlation to study spatial imbalance and dynamic evolution of China’s low carbon energy consumption structure. The low carbon index of China’s energy consumption structure generally shows a rising trend, up 5.862 in 2020 from 5.298 in 2003. The spatial imbalance of China’s low carbon energy consumption structure is weak, in a rising-then-declining trend indicated by Theil Index. Regional low-carbon energy consumption structure variance largely impacts the overall difference. China’s low-carbon energy consumption structure is of obvious spatial positive correlation with spatial concentrating effect, relatively stably in overall spatial pattern, high-high concentrating in Jiangsu-Zhejiang-Shanghai, weak-weak in southwest and central China. This paper presents suggestions on constructing regional interest union by mutually cooperation, on advancing industrial structure to stimulate social innovation and market, and on optimizing energy industry structure to push energy consumption transformation.
Overviews over references reveal that defects are existing in traditional industrial deviation E coefficient, Theil Index and Shift-Share model. Defects in E coefficient and Theil Index are in calculating principles, and those in Shift-Share model are in rationality of selecting reference system and feasibility of data collection. This paper presents an improved model that is used to study China’s 2012 to 2021 industrial deviation via cases. It concludes that China’s industrial deviation is diminishing. According to the corrected model and combined with the current global environment, this paper suggests that the first industry rely on scientific innovation to promote rural labors’ orderly migration between urban and rural areas and to materialize agricultural scale and modernization, that the second industry needs to be upgraded to reach and maintain an independent and complete industrial system, to inputs more in basic research to outbreak western technical blockage, that the third industry be focusing on financing and scientific education, increasing Hongkong, Shanghai and Beijing’s positions in world financing center, using financial innovation to avoid unfavorable constraints and impacts from global financing system, practicing the strategy for invigorating the country through science and education and exploring educational modes appropriate China’s situation from primary school to university stages.
EMPIRICAL STUDY ON SYMBIOTIC EVOLUTION OF ADVANCED MANUFACTURING AND PRODUCTIVE SERVICING IN SICHUAN-CHONGQING AREA
ALUMINUM RESOURCE DEMAND IN NEXT DECADE UNDER NEW INDUSTRIAL SITUATION
Rapid growth of new low carbon industries like of new electric vehicles and photovoltaic recently leads to a surging demand for aluminum resource, but production of primary aluminum has high energy consumption and large carbon emission, challenging the global climate changes and “dual carbon” goal. This paper uses system dynamics simulation model to forecast China ‘s aluminum resource production/consumption in next decade, and quantitatively evaluates its carbon emission potential under normal, policy and ideal scenarios from a perspective of entire life circle “bauxite-aluminum oxide-primary aluminum-aluminum products-recycling aluminum”, and forecasts the future supply of primary and recycling aluminum. In next decade, aluminum demand will be still fast rising, mainly contributed by the growing new energy vehicles. Transportation will become the largest aluminum consuming sector over construction sector. The premium approach to aluminum carbon reduction is to develop recycling aluminum resource, then to optimize electricity-using structure in electrolytic aluminum.To face a challenging global economic situation, this paper presents suggestions on developing power-saving-environment-protecting primary and recycling metallurgical technologies and methods, increasing development/use and recycling levels of aluminum resource, constructing an effective aluminum resource recycling system, decreasing uncertainty in aluminum resource supply so as to secure China ‘s aluminum resource guaranteeing capacity and to boost a quality development of China ‘s aluminum industry.
County domain is China ‘s vital administrative units. Research of its carbon sequestration capacity can detail its ecological carbon sequestration status and provide references for authorities to make decisions. This paper employes biological volume and InVEST model, the two common ways in carbon sequestration, to estimate carbon reserve and density in Luqiao district, Taizhou city, Zhejiang province, and compares their carbon sequestration levels in county domains and in towns. Luqiao district ‘s carbon reserve is estimated at 186037.44t by biological volume, and at 1580777.19t by InVEST model, which includes that in soils, contributing to the variance. Carbon density, estimated by the two ways, is similar in geographically distributing, suggesting its carbon sequestration capability be high in western, followed by southern and low in central-northern. This paper presents references for county domains to develop resources and to protect ecological environment.
SPATIAL PATTERN EVOLUTION AND FACTORS OF PRODUCER SERVICES IN YANGTZE RIVER ECONOMIC ZONE FROM PERSPECTIVE OF ENTERPRISES’ ENTRY
As economic globalization develops, R&D plays a key role in increasing innovative capacities and booting economic structural optimization. Study on dynamic relation among R&D inputs, innovative performance and economic growth can give us a deep understanding on regional innovative transformation, and provide references on innovative drives changes. This paper uses Shandong’s 2012 to 2020 16 prefectures’ panel data to establish PVAR model, and applies pulse response function and deviation to their interaction among R&D inputs, innovative performance and economic growth, and their variance in Shandong’s three economic zones. R&D inputs show one stage lagging behind economic growth, but faster in capital and Jiandong economic zones with their contributing rates up to 40.1% and 39.8%, respectively. Economic growth plays an adverse role against innovative performance, more in Jiaodong economic zone. Innovative performance promotes economic growth, with a contributing rate up to 85.9% in southern Shandong economic zone. R&D inputs have a low contributing rate to innovative performance, lagging 1 to stages in Jiaodong economic zone. Innovative performance promotes R&D inputs in a lagging 1 stage, but faster in capital and Jiaodong economic zones, with a contributing rate up to 80.4% in southern Shandong economic zone. The results generally show an interactive promotion among economic growth, R&D inputs and innovative performance. In capital economic zone, economic growth and R&D inputs have promoting roles on innovative performance, with a low conversion capacity from economic growth and R&D inputs to innovative performance. In Jiaodong economic zone, an outstanding promoting role exists both between economic growth and R&D inputs, and between R&D inputs and innovative performance, but low in the conversion rate between innovative outputs and economic growth. In southern Shandong economic zone, economic growth and R&D inputs have promotion on innovative performance, but insufficient beneficial interaction among the three.
This paper, based on recognition of urban multiple-centralization spatial structure, analyzes their spatial conglomeration of different functionalities, and studies the expanding trend of suburbanization of downtown’s manufacturing in Shenyang, and presents references for upgrading Shenyang’s downtown manufacturing and urban spatial organization. This paper uses POI data, ArcGIS10.7, GeoDa1.12 and Crimestat 3.3 softwares to identify 2020 urban multiplecentralized spatial structure by means of core density, spatial hotspot conglomeration, standard variance eclipse and spatial auto-correlation, and measures their spatial correlation among different functional facilities, and analyzes the manufacturing conglomeration in 1998, 2008 and 2020. In 2020, Shenyang’s urban spatial structure is characterized by “multiple-centralized, layer-radiated”, forming three-hierarchy urban centralized systems through a urban planning “one-major-four-minor”, generally consistent with Shenyang’s 2011 to 2020 overall urban planning. Besides single center in downtown, each minor city also has itself minor center, corresponding to multiple-centralized urban spatial structure. During 1998 to 2020, manufacturing has been migrating outward from downtown, mainly distributing in the third and forth rings in west and south, like Tiexi new city and Yongan new city. Shenyang’s functional space displays southwest to northeast extension with “center-suburb” urban function system. Spatial correlation exists among different functional districts. Industrial district represented by manufacturing is exclusive with single urban function, having strong spatial correlation among residential, commercial, public administrative and functional facilities as a comprehensive servicing center. This paper presents suggestions for Shenyang on further improving urban functions and optimizing industrial layout, and boosting living services in the industrial district which is of urban core production functions.
HFCV industry is a sustainable direction to fuel transformation and automobile industry; it catches China’s much attention. Due to the lagging fuel electric automobile industry, its operation is still in demonstration. Industrial evolution and changes are directly related to its development strategies and policies on HFCV industry; industrial predictability is a vital basis for a successful industrial policy. This paper, aiming at boosting China’s industrialization process of HFCV and at fulfilling the industrial policies, establishes a systematic dynamics causality model and stock flow model of HFCV in Jiangsu province based on related policies, reference and industrial plannings, which have been validated. Its evolutional trend and scenarios simulation and policy also reveal the impacts of different financial allowance policies on this sector. Under the current policies, it is hard to reach the 2030 objectives on HFCV stock and hydrogen fuel stations in that the purchase allowance policies have little impact on sales. Decreasing hydrogen price and increasing hydrogen fuel stations can boost this sector’s scale and industrialization. Gas-hydrogen stations, lower in cost, can have a better operating performance in meeting the demands of hydrogen compared with hydrogen stations. This paper presents suggestions on increasing inputs on HFCV industry, adjusting allowance policies, optimizing financial allowance allocation, focusing on hydrogen energy infrastructure construction, especially the hydrogen stations, decreasing purchase allowance. This also gives proposals on demonstrating purchase inputs at the prior stage, intensifying hydrogen(gas-hydrogen) station construction at the later stage. This study provides helpful references for governments to make appropriate industrial policies on HFCV industry.
RESOURCE UTILIZATION SITUATION OF PHOSPHOGYPSUM BASED ON MATERIAL FLOW METHOD
#br#
ANALYSIS OF CHINA'S GOLD MATERIAL FLOW IN 2019
China’s economy is shifting from rapid growth to quality development, causing China’s gold industry to shift away from the previous extensive development pattern based on scale and speed. In this paper, we developed a method for conducting a one-year quantitative material flow analysis in China’s mainland for 2019, based on statistical data and previous studies, for a better understanding of the current situation in the social-economic metabolism of gold. The funding allows us to gain a better understanding of the domestic gold cycle, which includes production, fabrication and manufacturing, use, and waste management. According to the findings, 1 015t of refined gold flowed from the production stage to the fabrication and manufacturing stage, with 900t lost as tailings and slag. In the fabrication and manufacturing stage, 781t of gold is imported, 1 706t of fined gold entered into the use stage, and 90t of gold dissipated. China’s gold supply suffered a high external dependence of 52.5% in 2019. In the use stage, total gold demand was 1 641t, of which consumption was 1 003t. Gold jewelry accounted for 67.4% of the consumption. At the waste management stage, China recovered 465t of refined gold in 2019, making up for 27% of the total supply. China’s gold production primarily relies on mining, secondarily on metallurgical byproducts, which was rising up to 16% in 2019 from 9% in 2000, indicating that the domestic gold industry’s intensity is gradually improving. China has had a great demand and high external dependence on gold. In recent years, China’s industrial gold consumption has increased rapidly. Domestic gold demand will continue to rise as the electronic industry develops. Recycled gold accounts for a significant portion of domestic gold supply, particularly golden jewelry recycling, which has greater economic benefits than industrial gold recycling, which requires further technological and industrial chain enhancement.
China’s natural resources administration system has provide a vital guarantee for natural resources use and protection over the past decades as a booster to ecological civilization construction, but it still has shortages in lack of rights and responsibilities and in overlapping of leadership and management, leading to lots of issues in unclear ownership subject of natural resources, fuzzy boundary of right confirmation and insufficient protection of property rights. This paper uses property rights theory to analyze the evolution of China’s natural resources administration system under guideline of “the 14th Five-Year Plan”and “2035 Outlook”, establishes a research framework of “system evolution-issues discussion-approach optimization”, and applies Pigovian tax, Coase Theorem, and new system economics theory to qualitative analysis of the natural resources assets property rights system optimization direction. Its evolution of natural resources administration system shows a clarifying ownership at a trend of separation of ownership and using right. Governments as the administrator of market shall uses power to mark market limit and make marketing rules. System performance is mainly related to the gaming between governments and markets, which may be promoted by optimizing the property rights system of “affiliation-rights & responsibilities-protection-transfer-supervision”. The research concludes that in order to improve the natural resources assets property rights system in our country, we should clarify the property rights, and realize the property rights in the legal subject clearly relying on the regulatory effect of the classification agent system. The content of registration and accounting should be clarified, and the information management platform of natural resources assets should be built to accurately grasp the assets, and use the ecological protection compensation mechanism to support the protection system, strengthen the intensity of protection, guarantee market transactions. Marketized trading platform shall be used to improve the allocating efficiency of natural resources, to transfer asset stock to asset increment. Supervision system shall be improved in all process which limits governmental power lists to avoid governmental monopoly.