Table of Content

20 October 2025, Volume 27 Issue 5

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RISK ASSESSMENT AND TREND EVOLUTION OF THE UPSTREAM OF NATURAL GAS INDUSTRIAL CHAIN BASED ON GAMING THEORY-CLOUD MODEL

WANG Deyun, WU Jinglin, ZHANG Yuantao, ZHOU Shuhui, ZHU Wenkai, ZHENG Jianqin

2025, 27(5):  1-11.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.004

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To identify the risks of the upstream of natural gas industrial chain in China, this paper establishes a risk assessment index system composed of resources, supply and demand, selects 12 key indicators such as newly-added reserve, self-supply rate, import concentration, to fully reflect the potential risk elements.Analytic hierarchy process (AHP) and entropy weight method (EWM) are used to give subjective and objective weights to indicators, optimized with gaming theory. Cloud model is applied for classifying risk levels and comprehensive assessment, which overcomes the fuzziness and uncertainty of the traditional methods. This paper employs natural gas data from 2012 to 2023 to systematically assess the risk levels and changing trend of the upstream of China‘s natural gas industrial chain. Compound weights are high in domestic gas production, newly-added reserve, self-supply rate and external dependence, which are the core factors affecting the risk levels of the upstream. The overall risk level of the upstream of natural gas industrial chain shows a “falling-slowly rising-fluctuated stabilizing” evolution. Risk evolution can be divided into 3 phases: high from 2012 to 2015, mainly due to lagging exploration technologies, surging energy demands and growing import dependence; mitigated from 2016 to 2019, contributed by rising domestic production, improved infrastructural construction and updated industrial policies; fluctuated from 2020 to 2023, influenced by epidemic, extreme weather and waving prices, peaking in 2021. Approaches to the upstream risks of natural gas industrial chain include increasing investment in gas exploration, raising mining capabilities, boosting technical innovation, expanding global cooperation, and diversifying import sources, which can intensify the resilience of and security of upstream and whole of natural gas industrial chain. This paper provides theoretical & practical references for risk identification, prevention and control in natural gas industrial chain, as well as for strategic decision-making.

OPTION PRICING OF DRAINAGE RIGHTS BASED ON BLACK-SCHOLES MODEL: A CASE STUDY ON QINHUAI RIVER BASIN

SUN Fuhua, LUO Yuyu, SHEN Juqin, HE Chaoran, GUO Ping

2025, 27(5):  12-19.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.003

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Under the background of global warming and frequent draughts & floods, the proposal of the concept of drainage rights provides a new non-engineering measure against regional drainage rights conflicts, helpful in mitigating the impacts of draughts/floods on regional economy to ensure national water security. Pricing drainage rights is the key to trading. This paper, based on a comparison between traditional pricing and option pricing, establishes a drainage option pricing model based on Black-Scholes model, and analyzes its five factors, i.e. asset price, executed price, validation period, non-risk interest rate and asset fluctuation rate, aiming at providing pricing references for trading drainage rights and at a sound drainage option market. Black-Scholes drainage option pricing model is used to calculate the appropriate prices of Qinhuai River drainage option in different periods, at 0.41 CNY/m³ in 3 months, 0.66 CNY/m³ in 6 months, 0.85 CNY/m³ in 9 months and 0.97 CNY/m³ in 12 months, showing a rising trend as contract period increases. Future drainage option studies should validate the model's assumptions, and discuss the impacts of expected-rising option pricing in order to enrich the research content of drainage option pricing.


IMPACTS OF PILOT ZONES FOR GREEN FINANCE REFORM AND INNOVATION ON TRANSFORMATION & UPGRADE OF RESOURCES-BASED MANUFACTURING INDUSTRY

ZHU Qiaoqiao, WU Qiaowen, PEI Haoyuan, LI Xinran

2025, 27(5):  20-35.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.009

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Resources-based manufacturing industry is a critical pillar of China's industrial economy. Its transformation & upgrade is closely related to economic structural optimization, low carbon and high-quality development, which can be boosted by green finance reform innovation. This paper uses DEA-Malmquist to measure the transformation & upgrade of resources-based manufacturing to study impacts of pilot zones for green finance reform and innovation on transformation and upgrade of resources-based manufacturing industry. It applies the panel data of provincial resources-based manufacturing industry from 2011 to 2020 and synthetic control method to verify the effectiveness of and heterogeneity of pilot zone policies on transformation & upgrade of resources-based manufacturing industry, and employs spatial econometric model to test the spatial spillover effect, which are further verified by mediation effect and moderation effect models. Pilot zone policy of green finance reform and innovation largely improves the transformation & upgrade of resources-based manufacturing industry, verified by DID estimates, placebo test and ranking test. Heterogeneity results show that Guizhou's policy works best, followed by Guangdong, Jiangxi, Zhejiang and Xinjiang. Spatial spillover effect shows the pilot zone policy has “local-neighborhood” effect on transformation & upgrade of resource-based manufacturing through economic correlation, demonstration and competition effects, not only promoting the local manufacturing's transformation & upgrade, but also driving the neighboring manufacturing industry. Pilot zone policy can increase green technical innovation through positive stimulation, external capital driving, innovation compensation, and optimize the finance allocating resources through supervision, environmental information and markets, and improve the energy use efficiency through green tool supports, enterprise structural optimization and green equipment. Governmental supports can strengthen the impact. This paper provides policy references for resources-based manufacturing industry's transformation & upgrade.

IMPACTS OF TECHNICAL INNOVATION ON ECOLOGICAL INDUSTRIES BASED ON EMPIRICAL EVIDENCES FROM HEBEI'S 40 MOUNTAINOUS

ZHANG Guofeng, LIU Jiashi, WANG Ruixian, MA Xiaojing

2025, 27(5):  36-50.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.010

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Hebei's mountainous counties develop ecological industries under dual pressure of fragile ecology and lagging economy, which is not only a demand for realizing national “dual carbon” objectives, but also a strategy for green development. This paper uses panel data of Hebei's mountainous counties from 2010 to 2021 to establish a comprehensive evaluation index system of ecological industrial development and technical innovation, applies bi-directional fixed effect model to verify the direct impacts of technical innovation on ecological industries, constructs a mediation effect model to testify the transmitting mechanism of informatization level and industrial structural upgrade, and applies panel threshold model, taking internet penetration rate as threshold variable, to explore the non-linear impacts and heterogeneity of technical innovation on ecological industries. Technical innovation is positively related to ecological industrial development, suggesting it can largely promote ecological industrial development in Hebei's mountainous counties. Such impacts vary in counties and economic development, most in key ecological function zones and in developed areas. Technical innovation can promote ecological industries in Hebei's mountainous counties through increasing informatization and advancing industrial structural upgrade. As internet penetration rate is rising, technical innovation impacts ecological industries in Hebei's mountainous counties in a non-linear manner of first-constraining-then-promoting. Technical innovation is the core drive to mountainous counties' ecology-economy conflict with its functions limited by areas with positioned functions, economic basis and digital conditions. This paper puts forward suggestions on boosting research and development investment, optimizing technical innovation system, advancing industrial structural upgrade and increasing internet penetration rate so as to promote ecological industries in Hebei's mountainous counties.

INTELLECTUAL PROPERTY RISKS AND PREVENTION OF WHOLE INDUSTRIAL CHAIN OF CRITICAL MINERAL RESOURCES

JIRIGALA, SUN Jinlong

2025, 27(5):  51-60.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.008

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Under the global rising resources competition and accelerating technical innovation, intellectual property risks are emerging in the industrial chain of critical mineral resources, which has become a potential factor impacting the industrial development. This paper analyzes the evolution and mechanism of intellectual property risks in industrial chain of critical mineral resources, recognizes its key factors impacting industrial security, and establishes a harness framework of intellectual property risks consistent with China's resource features and industrial development, which can provide decision-making supports for China to raise its global allocating capabilities and industrial controls in critical mineral resources. Six key risk categories are identified: technical lockout risk impacting minerals value capturing, supply termination risk which may result in a systematic risk in intellectual property intensive industries, structural conflict between technical autonomy and market openness amid vertical integration of supply chain, dual challenges of local regulations and market access barrier for overseas investment, fragmentated regulation risk arising from regional trade differentiated provisions, changes of mineral resources ownership from resource nationalization policies. The six risks go through the whole industrial chain from exploration, mining, processing to end-use applications, forming a compound risk matrix. The intellectual property risks need to establish a multiple-dimensional harness system to guarantee national resources security. A system of “technical advancement-standard leading-patent prevention” can break technical monopoly and boost independent intellectual property protection. A system of “international coalition-strategic reservation-cycling replacement” can optimize supply chain resilience and expand resource channels. A system of “layered prevention-standard leading-international prevention” can protect the core technologies and overseas investment risks as well. A system of “compliance management-risks alerting-industrial coalition” can boost enterprises' capabilities against international lawsuit and laws barriers. A system of “multiple lateral coalition-smart alerting-linked right protection” can break regional barriers and increase global speaking power. A system of “alerting-service-cooperation” can effectively handle the property risks under nationalized resources.

SPATIAL VARIANCE AND DRIVING FACTORS OF ENERGY ECOLOGICAL FOOTPRINT EFFICIENCY IN YANGTZE RIVER ECONOMIC ZONE

YU Nan, XU Chunming, SUN Renjin, CAO Shengsheng

2025, 27(5):  61-76.  DOI: 10.13776/j.cnki.resourcesindustries.20250902.001

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This paper, aiming at finding out the dynamic evolution and driving factors of energy ecological footprint efficiency in Yangtze River economic zone, and the feasible approaches to decreasing energy ecological footprint under regional coordinated development, establishes a measuring model and driving factors framework for energy ecological footprint efficiency via hidden carbon perspective and 2011-2021 panel data of 11 provinces (cities) in Yangtze River economic zone. Net original productivity model is applied to quantify the average absorbing capabilities of land to carbon and hidden carbon emissions of energy ecological footprint. Based on this, a measurement index system for energy ecological footprint efficiency is constructed. Variation coefficient is used to estimate the variance and changing trend of energy ecological footprint efficiency in provinces with their spatial distribution and regional difference depicted by kernel density estimation. Four classifications, i.e. geographic detector model and equal interval, natural breaks, and quantile and geometric interval of R language, are used to select the premium spatial dimension as model parameters through classified q values. Single factor impacts and factor interactions are used to analyze the driving factors and mechanism of spatial heterogeneity of energy ecological footprint efficiency. This paper presents suggestions based on spatial-temporal evolution and factors of regional green low carbon transformation. Energy ecological footprint efficiency shows a good developing trend from 2011 to 2021, and has undergone “stabilizing period” and “rising period” with substantial regional variance, highest in the downstream, followed by the middle stream, and lowest in the upstream. The overall distribution of energy ecological footprint efficiency displays a developing trend of “two peaks transitioning to more peaks, major peak left moving”; graded polarization gets intensified, and spatial variance is expanding, growing internally, but descending inter-regionally. The major factors driving the changes of energy ecological footprint efficiency in Yangtze River economic zone include energy consumption structure, GDP, industrial structure, urbanization, energy intensity, research and test levels, environmental regulations and education, with population and income per capita as the interactive factors of highest explanatory power, and environmental regulations and population interacting most frequently with other factors.

MECHANISM AND PATH OF DIGITALIZATION ON HIGH-QUALITY MARINE ECONOMIC DEVELOPMENT BASED ON PANEL DATA OF 11 COASTAL PROVINCES

SUN Yuheng, YU Xiaoyang, LIU Yang

2025, 27(5):  77-85.  DOI: 10.13776/j.cnki.resourcesindustries.20250520.001

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Under global digital economy and marine power strategy, how to empower the development of marine economy through digital technologies has become a vital mission. This paper uses 2011 to 2021 panel data of China's 11 coastal provinces, and applies fixed effect model to study the transmitting path of digitalization on marine economy taking gross marine economic production as explained variables, digitalization extent as core explaining variable, industrial structural hierarchy coefficients and human capital stock as mediator variables. Infrastructures are vital to digitalization application. Household with internet stands for adjusting variable as infrastructures, whose function on digitalization is discussed via mutual item. Ocean pollution harness project amounts and storm disaster economic loss are used as environmental variables to further test the impact of external factors on marine economy. Digitalization as a key drive for new high-quality productivity plays a crucial role in high-quality development of marine economy through upgrading industrial structure and boosting human capital, and the latter is much more important than the former, suggesting talents determine the high-quality development of marine economy. Well-developed infrastructures play a positive adjusting role in digitalization's promoting high-quality development of marine economy. This paper presents suggestions on accelerating digitalization of traditional marine industries, on using digital technologies to drive the emerging industries of marine power, medicine and biological products, on intensifying ocean infrastructural constructions to decrease operating costs and increase producing efficiency of marine industries, on cultivating compound talents having marine knowledge and digital skills.

COUPLING DEVELOPMENT BETWEEN JIANGSU'S NEW URBANIZATION AND GRAIN SECURITY

FAN Yuqi, YE Lei, DONG Xingchen, SONG Hanhan, LIANG Tianchi, YAN Yuhan

2025, 27(5):  86-98.  DOI: 10.13776/j.cnki.resourcesindustries.20250908.001

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This paper, based on the panel data of Jiangsu's 53 cities (counties) from 2000 to 2023, uses entropy, coupling model, Gini index and geographical detector to study spatio-temporal coupling evolution and factors between new urbanization and grain security, providing references for regional coordinated development and national grain security. New urbanization comprehensive index of Jiangsu's cities (counties) shows a fluctuated rising trend, averaging at 0.012 2-0.012 4. Southern Jiangsu leads the development, but some cities are facing decreasing population and industrial transformation pressure. Northern Jiangsu is the major grain producing area, and its grain security is at 0.006 6-0.007 0, suggesting a boosting grain security. Coupling between Jiangsu's new urbanization and grain security is climbing in a fluctuating way with obvious spatial variance, showing a pattern of “north ＞center＞south”. Northern Jiangsu's high coupling areas have been spreading; central Jiangsu is at middle coupling with a “rising-then-falling” process; southern Jiangsu is at low to middle coupling due to industrialization and urbanization. Driving forces of coupling development between new urbanization and grain security are mainly gross profits of scaled industrial entities and patents, indicating the leading role of economic energy and innovation. Non-linear interaction exists among driving forces. The interactive impact between gross production of agriculture-forestry-husbandry-fishery and patents is up to 0.898 4, forming a synergy of “industrial upgrade-rural & urban development”. The overall coupling between Jiangsu's new urbanization and grain security shows a staged rising feature with regional imbalance being expanded. Jiangsu needs to stabilize grain acreage, use technical innovation to increase production, optimize real estate investment and urban planning to avoid disordered expansion, boost regional industrial coalition and ecological compensation, and advance northern Jiangsu's agricultural mechanization and featured industries, so as to reach a deep integration of new urbanization and grain security and high-quality development. 

MANUFACTURING INDUSTRY'S VIRTUAL WATER FLOW BETWEEN CHINA AND THE COUNTRIES ALONG “THE BELT AND ROAD” 

LIU Jinhua, ZHOU Haoyu

2025, 27(5):  99-108.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.005

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This paper, based on manufactured goods trading data between China and 61 countries along “the Belt and Road”, establishes an input/output table of value-objects mixed water resources to measure virtual water traded volumes between China and the above countries from 2007 to 2020, and analyzes the spatio-temporal features of their virtual water flow, reveals the flowing direction, sizes and structures. Virtual water trading structures of China's manufactured goods can be optimized with manufacturing's water use efficiency increased and then water resource's input/output efficiency increased as well, mitigating China's water shortage and guaranteeing China's water resource security. Most manufacturing's direct water use coefficient and complete water use coefficient show a declining trend during the study period, especially in paper, printing, physical exercise manufacturing and metallic manufacturing, indicating an outstanding water use efficient increment and decrease in virtual water content in unit product. The overall virtual water flow scale of manufactured goods between China and “the Belt and Road” countries from 2007 to 2020 shows a falling trend, from 34.697 billion cubic meters to 17.867 billion cubic meters. From the perspective of trading balance, China's manufacturing's virtual water export is more than imported avoided water resource except the year of 2012. China's virtual water net export has accelerated after “the Belt and Road” initiative in 2013. Virtual water of China's manufactured goods mainly flows to Southeast Asia, West Asia & Middle East, East Asia, and Middle-East Europe, most to Southeast Asia at 4.355 billion cubic meters per year. China's large quantity of virtual water flow out comes from export trades in equipment, chemicals, metallic, textile, and leather manufacturing, with water saved from import trades in equipment, chemicals, petroleum, coking coal and nuclear fuels manufacturing.

SELECTION OF VOLUNTARY EMISSION PRODUCTS IN INDUSTRIAL ZONES UNDER ZERO CARBON EMISSION GOAL

SHI Yang, KONG Zhen, ZHANG Baorui, ZHAO Wei, WANG Zhiguang, CAI Yunjiang, WANG Jingtao, CHEN Lin, WANG Wei, ZHANG Kun, LI Rui

2025, 27(5):  109-122.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.007

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Industrial zones as the major source for energy consumption and carbon emission need to reduce their greenhouse gas emissions, which is essential to reach “dual carbon” objectives. Voluntary emission reduction market serves as a low-cost emission reduction tool which varies in categories, standards and prices, hard to be effectively selected. This paper establishes a carbon offset product selection process based on “product categories-carbon emission-methodology”, helpful in selecting appropriate carbon offset plans for industrial zones and advancing industrial zone construction of zero carbon emission. References and comparison are used to summarize the existing carbon offset products in global voluntary carbon emission reduction market with their pros and cons evaluated from multiple dimensions. A research framework of industrial zone carbon emission is set up to study the features of carbon sources and carbon sinks, key factors and issues in modules. According to functions and carbon emission features of industry, construction, non-construction, traffic, waste and carbon sink modules, about 200 methods of domestic carbon offset mechanism are analyzed, with some selected appropriate for industrial zone scenarios. Prices of international voluntary emission reduction market are lower than Chinese certified emission reduction (CCER), but lack attraction to domestic industrial zones due to market independence and transaction restriction. National and local voluntary emission reduction mechanisms apply to production scenarios, while carbon universal benefits apply to living scenarios in industrial zones. CCER covers 16 professional domains, and can be traded nationwide. Local voluntary emission reduction mechanism only applies to regional market transactions. In industrial process module, industrial zones with high energy consumption shall take graded energy utilization, and industrial zone with low energy consumption shall focus on low carbon transformation of infrastructures and scaled use of renewable energy. In construction module, public constructions apply distributing solar projects in carbon offset products, and residential constructions focus on energy replacement of household appliances. In traffic module, electric vehicles replacing fuel vehicles and green transportation can realize carbon emission reduction. In waste module, recycling materials can reach carbon reduction. In carbon sinks module, urban green way construction can increase carbon sinks. Industrial zones shall prioritize CCER, carbon universal benefits products and other local voluntary emission reduction mechanisms in accordance with production and living scenarios.

TEXT ANALYSIS OF CHINA'S HYDROGEN ENERGY POLICY BASED ON LDA THEMATIC MODEL

QIN Yu, HUANG Xiaoli, LIN Lü

2025, 27(5):  123-138.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.002

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This paper aims to study the text characteristics and evolution of China's existing hydrogen energy policy, uses 353 pieces of hydrogen energy policies from 2019 to 2023 to establish a four-dimensional framework of “temporal evolution-high frequency words analysis-thematic exploration-thematic evolution”, which is applied to study on 8 comprehensive economic zones. For temporal evolution, annual policy amounts, regional distribution and categories reveal a policy evolution and spatial differences. For high frequency words, Python's Jieba database is used to process policy texts through mapping words cloud and co-occurrence network, identifying policy focuses and regional attention. For thematic exploration, LDA mode combined with TF-IDF algorithm is used to dig the potential themes by mapping thematic words co-occurrence network and analyzing their connection between potential themes and themes. For thematic evolution, mixed proportion of each theme in the policy texts marks the thematic intensity and reveals their thematic evolutionary trend. Policy amounts show an “M-shaped” rising, peaking at 2020 and 2022, due to an issue of key policies. Eastern and northern coasts have the most policy issues, 78 and 76 respectively; planning and method categories are the most, 85 and 68 respectively; prevention category is the least with only one. Policies focus on many aspects including whole industrial chain development, safety supervision. From 2022 to 2023 policies pay more attention to hydrogen energy safety; hydrogen stations are key domain in infrastructural construction; local policies have a single application scenario, and industrial homogeneity is prominent, with fuel cells as the key demonstration application scenario; the frequency of green hydrogen-related words is higher than other high-frequency words. Hydrogen energy policy has five potential themes in enterprise support, safety management, industrial innovation, whole industrial chain development and demonstration; enterprise support is closely related to demonstration, and industrial innovation is closely related to whole industrial chain development; the internal characteristic words of safety management theme are highly aggregated. Policy thematic evolution trend is stable; enterprise support is the leading theme; safety management trend is stable after initial largely rising, lower than enterprise support. Regional policy thematic evolution trend varies a lot with economy, resources and hydrogen energy industrial development. This paper presents a “1+N” policy system regarding China's hydrogen energy industry on selecting localized development direction, increasing green hydrogen policy attention, executing safety supervision on the whole hydrogen industrial chain and enlarging multiple applied scenarios of hydrogen energy.

AGRICULTURAL SOCIALIZED SERVICE SYSTEM AND ITS MECHANISM DRIVING INDUSTRIAL UPGRADE: BASED ON AN EMPIRICAL STUDY ON VALUE CHAIN THEORY

LIN Yuexi, LU Feng, XU Zhengyi, XUE Junfeng, DAI Shaoqing, ZHANG Xinying

2025, 27(5):  139-150.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.006

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Agricultural socialized service as an inevitable product of agricultural division and a mediator of element effective allocation, plays a critical role in agricultural modernization. This paper, based on 134 cases of “entire mechanization + comprehensive agricultural affairs” nationwide, combined with in-situ investigation data of comprehensive agricultural affairs in H city's L district, J city's W district, Zhejiang province, uses rooting theory and NVivo12 software for data coding and analysis, and constructs an agricultural socialized service system model to study the mechanism, dynamics and challenges of its promotion on industrial upgrade. Agricultural socialized service system is composed of two key categories, production supporting service and factor intensive service, covering 10 major categories and 35 categories. Production supporting service boosts marginal benefits from increasing production efficiency, decreasing costs and optimizing resources allocation; while factor intensive service uses professional intermediate inputs to promote human capital development and innovation through technical advances, digitalization and brand marketing. Agricultural socialized service further optimizes process connection and benefits connection so as to raise overall agricultural competitiveness and marginal benefits of industrial chain. Five drives including market leading, enterprise consolidation, technical supports, policy supports and local connection jointly promote agricultural socialized service and industrial upgrade; however, agricultural socialized service faces such difficulties as low industrial added values and shortage of agricultural talents. This paper presents suggestions on promoting policy standardization, accelerating agricultural technical conversion and cultivating agricultural talents for high quality agricultural socialized service.

COUPLING CORRELATION AND DYNAMIC RESPONSE BETWEEN AGRICULTURAL INDUSTRIAL INTEGRATION AND ECO-ENVIRONMENT IN PENGYANG COUNTY, NINGXIA

WANG Yajuan, ZHOU Tao, CHEN Zeyu, ZHAI Chenxi, LIU Xiaopeng

2025, 27(5):  151-162.  DOI: 10.13776/j.cnki.resourcesindustries.20250901.011

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To explore the interaction between agricultural industrial integration and eco-environmental to realize economic growth and ecological improvement, and to advance industrial integration and eco-environmental co-integration, this paper analyzes agricultural industrial integration development and eco-environmental changes and their coupling coordination in Pengyang county from 2008 to 2022, based on vector regression model, pulse responsive function and variance decomposition to study the dynamic striking and mutual mechanism of agricultural industrial integration and eco-environment. Pengyang's agricultural industrial integration and eco-environment quality show a fluctuated rising trend during the study period. Two systems' coupling coordination has been increasing, starting at 0.364 in 2008, up to the highest at 0.804 in 2021. Three stages can be divided. Agricultural eco-environmental quality is higher than agriculture industrial integration level from 2008 to 2011; coupling coordination of the two systems is rising but still low from 2012 to 2017; coupling coordination of the two systems is rapidly rising from preliminary coordination to moderate coordination from 2018 to 2022. Pulse responsive value of agricultural industrial integration index to agricultural eco-environmental index is always positive, suggesting an acceleration on eco-environment. Dynamic striking response effect of agricultural industrial chain extension on eco-environment shows a first-rising-then-declining promotion; that of agricultural multi-functional extension and agricultural servicing integration on eco-environment shows an accelerating promotion, meaning that industrial integration can effectively promote rural eco-environment. Dynamic striking response effect of eco-environment on agricultural servicing is positive, but negative on agricultural industrial chain extension index and agricultural multi-functional extension index, suggesting a constraining role. Variance decomposition indicates that the average contribution rates of changes in agricultural industry chain extension, agricultural servicing integration and agricultural multi-functional extension to rural eco-environmental quality are 18.08%, 24.09% and 0.17%, respectively. The average contribution rate of rural eco-environmental quality itself reaches 57.66%.