Table of Content

20 April 2024, Volume 26 Issue 2

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CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT

LIU Gengyuan, WANG Lina, GAO Yuan, et al

2024, 26(2):  1-12.  DOI: 10.13776/j.cnki.resourcesindustries.20240304.003

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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.

ASSET VALUES MATERIALIZATION MECHANISM OF FOREST CARBON SEQUESTRATION RESOURCES FROM PERSPECTIVE OF GAINS

CAI Weimin, WANG Yanqiu, LIN Guobin, et al.

2024, 26(2):  13-22.  DOI: 10.13776/j.cnki.resourcesindustries.20240304.004

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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. 

DIGITAL FINANCE, COMMERCIAL ENVIRONMENT AND ENTERPRISE’S DUAL INNOVATION

TONG Jixin, YIN Ming

2024, 26(2):  23-35.  DOI: 10.13776/j.cnki.resourcesindustries.20240304.002

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This paper, based on provincial panel data and enterprise microscopic dataset from 2011 to 2019, establishes a bi-directional fixed effect model to study the impacts of digital finance on enterprise’s dual innovation and its mechanism from commercial environment. Regression coefficients of digital finance on enterprise’s radical innovation and incremental innovation are positive; the radical innovation can rise by 58.83% and incremental innovation by 49.92% upon digital finance’s rising by 1%, suggesting that digital finance largely boost enterprise’s innovation through coverage and depth, stepping out of “low locked” situation for a higher innovation. Regression coefficients of digital finance on enterprise’s dual innovation in central and western regions are 2.607 7 and 1.237 8 respectively, higher than 0.391 7 in the eastern region, suggesting digital finance exerts a stronger marginal effect on enterprise’s dual innovation in the central and western regions where financial resources are insufficient due to geographic resources occurrence variance, compared with the developed eastern region. On mechanism test, regression coefficients of digital finance to radical innovation and commercial environment are 0.588 3 and 0.429 9, outstanding above 1%, marking their positive relation. Impacting coefficient of commercial environment on radical innovation is 1.032, and mediating effect of commercial environment reaches 74.19%. On incremental innovation, direct effect is opposite to indirect effect, and commercial environment plays a covering effect on incremental innovation. As digital finance gains more supports, improving commercial environment will make enterprises put more resources in radical innovation, thus less in incremental innovation. This paper puts forward suggestions on continuously optimizing digital finance policies, establishing regional digital finance coordination and financial servicing platform to provide enterprises’ dual innovation with external security and to stimulate their inner drive.

CORRELATION MEASUREMENT AND EFFECTS OF CHINA’S NEW ENERGY INDUSTRIES

YAO Baoshuai, BAO Ning, LIU Xianting, et al

2024, 26(2):  36-52.  DOI: 10.13776/j.cnki.resourcesindustries.20240306.002

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Energy consumption transformation is necessary in the new developing era. Energy structure transformation based on new energy is an important part in China’s modernization. This paper, in order to study the impact of China’s new energy industries on economy, compiles new energy economy input/output tables of 2015, 2017, 2018 and 2020. To further analyze the inner connection within new energy industries, this paper uses structural decomposition to estimate endogenous multiplier effect, drawback effect and spillover effect of new energy industries. New energy industrial scale has been increasing, with its added value rate at a high level but its impact less than the average, not strong enough to boost economy. New energy industrial sectors have no strong inner correlation, but they have post-direct correlation with all industrial sectors, including manufacturing and construction under indirect depletion. Static decomposition shows that endogenous multiplier effect, drawback effect and spillover effect of new energy industries are all below the average, among which spillover effect is the major source of its increasing output, but falling in 2020, roughly equal to endogenous multiplier effect’s contribution. The further dynamic decomposition suggests that the major source of increased outputs is stimulated by other sectors’ final demand to its sectors’ final demand and to other new sectors’ final demand. Generally, new energy industries have a rising correlation with other industries. New energy industries are at an upgrading stage. This paper presents suggestions on boosting research and development to intensify its leading role in economy, planning its industrial cluster and linking with such industries as manufacturing and construction, giving supportive policies to increase its sensing capacity. 

MULTI-SCENARIO DEMAND FORECAST OF RAW NICKEL IN CHINA BASED ON GRAY GM-BP NEURAL NETWORK COMPOUND MODEL

ZHOU Wenxiao, ZHAN Cheng, ZHANG Zhouyi, et al

2024, 26(2):  53-66.  DOI: 10.13776/j.cnki.resourcesindustries.20231123.001

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National Mineral Resources Planning (2016-2020), issued in 2016, lists nickel as strategic mineral. China is the largest nickel consumer, but insufficient in nickel resources with high dependence on external supply. Scientific forecast of raw nickel demand is of significance to secure nickel production and supply chains. This paper uses gray correlation to select China’s stainless steel production, GDP per capita, electroplating market scale, urbanization rate, industrial structure, and new energy vehicle production as driving variables to forecast nickel demand under different scenarios from demand side, and combines gray GM(1, 1) model with BP neural network to construct a GM-BP model based on residual minimization, which is used to forecast China’s nickel demand from 2015 to 2035. This compound model is effective in forecasting non-linear sequence data, with the fitting error smaller than GM(1, 1) model. China’s demand for raw nickel is forecasted at 1 822.2 kt in 2025, 2 720.8 kt in 2030 and 3 951.7 kt in 2035 at an annual rising rate of 4.26% in the 14^th  Five-Year Plan, 10.54% in the 15^th  Five-Year Plan and 9.78% in the 16^th  Five-Year Plan. The rising demand trend for raw nickel will lead to a conflict between its supply and demand. China has to raise its supply capacity and decrease dependence on imports. This paper presents suggestions on upgrading stainless steel industry, optimizing processing and producing new alloy materials, and on boosting nickel exploration and development, and on diversifying import sources, and on supporting Chinese investors’ overseas nickel projects.

IMPACTS OF MANUFACTURING AGGLOMERATION ON CHINA’S GREEN TOTAL FACTOR PRODUCTIVITY BASED ON ADJUSTMENT OF ENVIRONMENTAL REGULATIONS

BIAN Yinyu, ZHANG Yongqing

2024, 26(2):  67-75.  DOI: 10.13776/j.cnki.resourcesindustries.20240304.001

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To achieve sustainability of China’s manufacturing and to increase economic growth quality, this paper studies the impacts of manufacturing agglomeration on China’s green total factor productivity, and discusses the effects of different environmental regulations during the process. Based on the panel data of China’s 30 provinces from 2005 to 2018, this paper uses ultra-efficiency SBM model, which is non-desired output, non-directional and non-angular, to measure their green total factor productivity, and applies Tobit regression model to analyze the impacts of manufacturing on China’s green total factor productivity, and to verify the adjustment of market-stimulating, command controlling and public-involved environmental regulations between manufacturing agglomeration and China’s green total factor productivity. Manufacturing agglomeration is outstandingly negative to China’s green total factor productivity above 1%, suggesting China’s manufacturing still in a highly polluting and energy-consuming model. Crowding effect of industrial agglomeration is larger than economic scale effect, adversely affecting green total factor productivity. Among different environmental regulations, command-controlling and public-involving are conspicuously positive to manufacturing agglomeration above 1%, suggesting both largely constrain the adverse impacts of manufacturing agglomeration on green total factor productivity, while market-stimulating environmental regulation is negative and fails the significance test, meaning it has no adjustment function. China’s manufacturing layout needs further improvement and its industrial structure needs to be adjusted to promote a green transformation of China’s economy. Government shall optimize environmental laws and regulations to fulfill their driving roles in green development.

COUPLING COORDINATION AMONG BASIC PUBLIC SERVICES, POPULATION URBANIZATION AND ECO-ENVIRONMENT: A CASE STUDY ON GANSU’S HEXI AREA

YANG Xuelian, CHEN Bingpu, MO Qijiang, et al

2024, 26(2):  76-85.  DOI: 10.13776/j.cnki.resourcesindustries.20240305.003

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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.

TEMPORAL-SPATIAL EVOLUTION AND FACTORS OF AGRICULTURAL SOCIALIZED SERVICING LEVEL IN THE MAJOR CROP PRODUCTION AREAS

HUA Jian, WU Yaru

2024, 26(2):  86-100.  DOI: 10.13776/j.cnki.resourcesindustries.20240306.004

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Securing supply of key agricultural products like crops is the first task for reviving countryside, which can be satisfied through agricultural socialized servicing linking traditional farmer and modern agriculture. This paper, aiming at promoting agricultural socialized servicing, based on its developing logics, uses provincial panel data from 2008 to 2021, entropy, spatial auto-correlation and geographic detectors to measure the agricultural socialized servicing level in the major crop production areas, and to explore its temporal-spatial evolution and factors. During research period, agricultural socialized servicing level in the major crop production areas has been rising, supported by technical information servicing and public servicing. Agricultural socialized servicing in the three major crop production areas has been improved, ranking in a decreasing order, Huanghuaihai, Yangtze River basin, and northeast, displaying different structural features. Spatially, agricultural socialized servicing displays a south-high and north-low pattern, varying provincially but with positively rising concentration. Many factors impact it in a varying manner; top 2 factors include economy and agriculture scale from the view of economic and social development, and agricultural land scale operation and rural residents’ income from the view of rural production and life. This paper present suggestions on overall construction and structural optimization, on making use of resources, on trans-regional sharing resources and regional coordination, on improving rural environment, and on creating more advantages for agricultural socialized servicing.

WATER RESOURCES UTILIZATION EFFICIENCY AND FACTORS OF YANGTZE RIVER BASIN BASED ON SHEPHARD’S WATER RESOURCES DISTANCE FUNCTION

WANG Manwang, DONG Mei

2024, 26(2):  101-110.  DOI: 10.13776/j.cnki.resourcesindustries.20240304.005

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It makes sense to study water resources utilization efficiency, temporal-spatial distribution and factors in the Yangtze River Basin for its water resources and economic development. This paper uses its 2012 to 2020 data of 11 provinces (cities) to establish a random front model of Shephard’s water resources distance function, which is employed to study water utilization efficiency, factors and temporal-spatial differentiation in the Yangtze River Basin. Water footprint shows a stabilizing water footprint consumption in the Yangtze River Basin, with water use in the upper-reaches less than in the middle-to down-reaches. Variance of gross provincial water footprint is mainly contributed by agricultural production, then by industrial production. Water utilization efficiency by random front model of Shephard’s water resources distance function shows a pattern of “low in middle reaches and high in upper-and down-reaches” with a decreasing trend, falling eastward in the upper reaches, and also falling in the middle-to down-reaches at a low level. Selected factors have passed significance tests, with a positive relation between water resources and utilization efficiency, indicating increment of water resources per capita promotes water utilization efficiency, an outstandingly positive relation between economy and water utilization efficiency, which means economic growth greatly boosts water utilization efficiency. Urbanization rate has an obviously positive relation with water utilization; the higher urbanization, the higher water utilization efficiency. The proportion of the third industry’s GDP has an outstandingly negative relation with water utilization efficiency, suggesting a constraint of industrial structural adjustment on water utilization efficiency. This paper presents suggestions on establishing a trans-department coordination to intensity water resources management and monitoring, pushing forward regional cooperation and information sharing, optimizing industrial structure and promoting sustainable development.

STRUCTURAL OPTIMIZATION OF JIANGSU’S CHEMICAL INDUSTRY CONSTRAINED BY CARBON REDUCTION AND WATER ECOLOGICAL CARRYING CAPACITY

CHEN Junfei, CHE Yajing, GU Yan, et al

2024, 26(2):  111-123.  DOI: 10.13776/j.cnki.resourcesindustries.20240305.002

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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.

EMPIRICAL STUDY ON IMPACTS OF INNOVATIVE HUMAN CAPITAL ON INDUSTRIAL STRUCTURAL UPGRADING BASED ON MEDIATING EFFECT OF TECHNOLOGICAL PROGRESS

YIN Qingmin, DAI Min

2024, 26(2):  124-140.  DOI: 10.13776/j.cnki.resourcesindustries.20240305.004

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Under the green high-quality development, technological innovation brings technological advance which is a critical drive for human capital to lead industrial structure adjustment. This paper, based on 2005 to 2020 panel data of China’s 30 provinces, establishes a mediating effect regression model with technological advance as mediating variable, which is employed to study the whole region and each single region. Innovative human capital can improve industrial structural upgrading through technological progress. Each region needs to improve its industrial structural layout through increasing educational and technological investment to improve innovative human capital quality and quantity and then push industrial structural upgrading. Industrial structural adjustment requires a higher quality and quantity in human capital in more developed areas. Innovative human capital can largely promote technological advances in the whole region, but more in the underdeveloped areas where there are less technological advancing effects. Innovative new human capital can promote a rationalized development of industrial structure in the whole region by means of complete mediating effect, but unfavorable for industrial upgrading. In developed regions where there is better self-innovative capacity, a higher requirement of self-innovation on innovative human capital will weaken the indirect effect of innovative human capital on industrial structural adjustment, and intensify the direct effect, showing an indirect effect of innovative human capital on industrial structure by masking effect. In less-developed regions, innovative human capital has an indirect effect on industrial structure through the mediating effect of technological advance, mainly from understanding, adopting and copying imported technologies with lower indirect effect. Driven by the Western Development Strategy, innovative human capital can directly impact industrial structural upgrading in underdeveloped regions. The potential impacting mechanism of innovative human capital on industrial structural upgrading includes investing rate which obviously plays a positive adjusting role in the eastern and western regions. Except in the western region, financing level plays a strikingly positive adjusting role while innovative human capital impacts industrial structural upgrading. Innovative human capital impacts industrial structural rationalization positively in the whole region. This paper presents suggestions on boosting education of innovative human capital, establishing regional talent cultivating system, improving self-innovative capacity and optimizing industrial environment.

EMPLOYMENT CAPACITY OF JIANGSU’S MANUFACTURING FROM PERSPECTIVES OF LAND OWNERSHIP AND SECTOR CHARACTERISTICS

QI Yuning, ZHAO Xiaofeng, LI Jingye, et al

2024, 26(2):  141-150.  DOI: 10.13776/j.cnki.resourcesindustries.20240305.005

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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.

VISUAL ANALYSIS OF GREEN TECHNICAL INNOVATION OF GLOBAL ENTERPRISES BASED ON CITESPACE

YUAN Ruhua, WANG Yaping, JIA Kuiyuan

2024, 26(2):  151-163.  DOI: 10.13776/j.cnki.resourcesindustries.20240306.003

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This paper reviews green innovative achievements of global enterprises, and finds out China's blank areas, and explores its developing trend, providing theoretical references for green technical innovation system. Based on WOS and CNKI database (1993-2022), 861 and 509 pieces of paper are selected respectively through advanced query and manual screening. Visual analysis tool CiteSpace is used to analyse research characteristics from publishing years, regions, key words. The major research region is China and European and American countries with a rising paper counts and high centrality. China's highquality references have been surging in recent five years, mainly on empirical study. European and American countries are closely cooperating with a better global view. Domestic research has been basically shaped, being steadily rising stage, processoriented, focusing on factors and mechanism. It produces some Chinese-featured outputs under China-s special system. Foreign research system is sounder, results-oriented, focusing on green innovative performance and its values, including economic, social and ecological values. Green technical innovation is a strategy. Foreign research has undergone “fuzzy period”, “diversified developing period” and “blooming developing period”. This paper presents suggestions on focusing on value- and market-oriented perspectives, on diversifying expansion, on combination with ecology to explore their inner connection of green technology and ecological protection, and on detailed mechanism to find the obstacles against green innovation. This paper contributes to Chinese-featured green technological innovation. 

RESEARCH STATUS AND TREND ANALYSIS OF CLEAN COAL TECHNOLOGY BASED ON PATENT INFORMATION

MENG Xiaohong, GUO Pibin, WU Qinglong

2024, 26(2):  164-172.  DOI: 10.13776/j.cnki.resourcesindustries.20240305.001

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Clean coal technology is a crucial way to effectively use coal, much helpful in reducing carbon emission and to realize “dual-carbon” goals. This paper, based on Patsnap patent dataset, uses TAM model to analyze global clean coal technologies from technical advances, patent identification and market, and compares them globally, and points out China’s technical weaknesses, core technologies and future trend. The present clean coal technologies are upgrading to mature stage from developing stage. China’s related patents have issues, such as bad quality, lack of core competitiveness, weak R&D capabilities. Carbon reduction and pollution control are two hotspots in patent application. The future clean coal technology should be directed to comprehensive use of coal. Enterprises shall play a leading role in R&D, and enhance carbon reduction and coal comprehensive use technologies. Governments shall issue supportive polices for the two technical domains, including favorable financial and taxation policies, stimulating enterprises to intensify R&D in clean coal technologies.

FINE MANAGEMENT PRACTICE OF COALBED METHANE GROUND EXTRACTION ON XIANDAO-1 WELL IN SHIYUAN COAL MINE

HU Xiaolan, PENG Chuansheng, SHI Jianxiang, et al

2024, 26(2):  173-180.  DOI: 10.13776/j.cnki.resourcesindustries.20240306.001

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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.