IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v64y2019ics0301420719303009.html
   My bibliography  Save this article

Does the trans-regional transfer of resource-oriented enterprises generate a stress effect?

Author

Listed:
  • Li, Cunfang
  • Zhang, Bo
  • Lai, Yongzeng
  • Dong, Mei
  • Li, Danping

Abstract

Whether the trans-regional transfer of resource-oriented enterprises produces a stress effect is a major issue concerning the green, sustainable, and high-quality development of resource-rich areas in the mid-west of China. Using the system engineering concept and socioeconomic statistics, in combination with a theoretical analysis and empirical testing, this study analyzed the functional characteristics of the natural environment in the region and clarified the mechanism characteristics by which a natural environment functional stress effect could be caused by the trans-regional transfer of resource-oriented enterprises. Resource-orientated industry data from 2000 to 2015 in the three mid-western provinces of Shanxi, Shaanxi, and Guizhou were selected for empirical testing. Several key findings were made. (1) The trans-regional transfer of resource-oriented enterprises had a significant strengthening effect on the five stress indicators of land subsidence, solid waste, waste water, waste gas, and dust in the three provinces of mid-west China. (2) The trans-regional transfer of resource-oriented enterprises led to the restoration of the natural environment in mining areas, which was coordinated by relevant governments and enterprises, resulting in a significant weakening of the land subsidence, solid waste, and waste water stress in the three provinces of the mid-west, as well as a significant weakening of the waste gas stress in Shaanxi Province and dust stress in Guizhou Province. (3) The trans-regional transfer of resource-oriented enterprises had a higher positive intensification effect than a negative weakening effect on the natural environment functional stress in the three provinces of the mid-west. (4) In a comparison of the effects of natural environment function stress due to the trans-regional transfer of resource-oriented enterprises there were large differences among the three provinces in terms of the intensifying and weakening flows of stress. The conclusions provide a theoretical basis for the formulation of relevant policies to regulate the trans-regional transfer of resource-oriented enterprises and reduce the stress effect.

Suggested Citation

  • Li, Cunfang & Zhang, Bo & Lai, Yongzeng & Dong, Mei & Li, Danping, 2019. "Does the trans-regional transfer of resource-oriented enterprises generate a stress effect?," Resources Policy, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:jrpoli:v:64:y:2019:i:c:s0301420719303009
    DOI: 10.1016/j.resourpol.2019.101524
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420719303009
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2019.101524?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Bo & Dewan, Hasnat, 2017. "Efficiency differences among China's resource-based cities and their determinants," Resources Policy, Elsevier, vol. 51(C), pages 31-38.
    2. Mills, Andrew & Phadke, Amol & Wiser, Ryan, 2011. "Exploration of resource and transmission expansion decisions in the Western Renewable Energy Zone initiative," Energy Policy, Elsevier, vol. 39(3), pages 1732-1745, March.
    3. Bouwe R. Dijkstra & Anuj Joshua Mathew & Arijit Mukherjee, 2011. "Environmental Regulation: An Incentive for Foreign Direct Investment," Review of International Economics, Wiley Blackwell, vol. 19(3), pages 568-578, August.
    4. Khuman, Y.S.C. & Pandey, Ranjita & Rao, K.S., 2012. "Micro-watershed level population based fuelwood consumption dynamics: Implications of seasonal vs. annual models for sustainable energy resource planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6142-6148.
    5. Li, Danping & Young, Virginia R., 2019. "Optimal reinsurance to minimize the discounted probability of ruin under ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 143-152.
    6. Chikkatur, Ananth P. & Sagar, Ambuj D. & Sankar, T.L., 2009. "Sustainable development of the Indian coal sector," Energy, Elsevier, vol. 34(8), pages 942-953.
    7. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    8. Zeynep Sezgin, 2013. "Ecological Modernization at the Intersection of Environment and Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 93-101.
    9. Li, Danping & Shen, Yang & Zeng, Yan, 2018. "Dynamic derivative-based investment strategy for mean–variance asset–liability management with stochastic volatility," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 72-86.
    10. Li, Cunfang & Li, Danping & Zhang, Xiaoxu, 2019. "Why can China's coal resource-exhausted enterprises cross the district to transfer?," Resources Policy, Elsevier, vol. 60(C), pages 94-105.
    11. Li, Cunfang & Li, Danping & Dong, Mei, 2019. "The spillage effect of the transfer behavior of coal resource-exhausted enterprises and science and technology projects," Resources Policy, Elsevier, vol. 62(C), pages 385-396.
    12. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    13. Plantier-Santos, Carlota & Carollo, Cristina & Yoskowitz, David W., 2012. "Gulf of Mexico Ecosystem Service Valuation Database (GecoServ): Gathering ecosystem services valuation studies to promote their inclusion in the decision-making process," Marine Policy, Elsevier, vol. 36(1), pages 214-217, January.
    14. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
    15. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu, Shan & Peng, Sihan & Shi, Jiaxin & Zhang, Ci & Feng, Yanchao, 2024. "How does digital transformation affect the total factor productivity of China's A-share listed enterprises in the mineral resource-based sector?," Resources Policy, Elsevier, vol. 94(C).
    2. Cunfang Li & Tao Song & Wenfu Wang & Xinyi Gu & Zhan Li & Yongzeng Lai, 2022. "Analysis and Measurement of Barriers to Green Transformation Behavior of Resource Industries," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    3. Wang, Wei & Wu, Fengping & Li, Cunfang, 2021. "Relationship between cross-regional transfer and the environment based on the coal enterprises in China," Resources Policy, Elsevier, vol. 73(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Cunfang & Li, Danping & Zhang, Xiaoxu, 2019. "Why can China's coal resource-exhausted enterprises cross the district to transfer?," Resources Policy, Elsevier, vol. 60(C), pages 94-105.
    2. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
    3. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    4. Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.
    5. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    6. Wang, Wei & Wu, Fengping & Li, Cunfang, 2021. "Relationship between cross-regional transfer and the environment based on the coal enterprises in China," Resources Policy, Elsevier, vol. 73(C).
    7. Biying Zhao & Licheng Sun & Siying Gao, 2022. "Effects of Government Regulations on Under-Reporting of Carbon Emission Transfers by Enterprises in Supply Chains," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    8. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    9. Wang, Xiaojun & Chen, Yiping & Chen, Jingjing & Mao, Bingjing & Peng, Lihong & Yu, Ang, 2022. "China's CO2 regional synergistic emission reduction: Killing two birds with one stone?," Energy Policy, Elsevier, vol. 168(C).
    10. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    11. Wang, Ning & Zhang, Yumo, 2024. "Robust asset-liability management games for n players under multivariate stochastic covariance models," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 67-98.
    12. Köberle, Alexandre C. & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2015. "Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation," Energy, Elsevier, vol. 89(C), pages 739-756.
    13. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    14. Guangxiong Mao & Wei Jin & Ying Zhu & Yanjun Mao & Wei-Ling Hsu & Hsin-Lung Liu, 2021. "Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    15. Schroeder, Andreas & Oei, Pao-Yu & Sander, Aram & Hankel, Lisa & Laurisch, Lilian Charlotte, 2013. "The integration of renewable energies into the German transmission grid—A scenario comparison," Energy Policy, Elsevier, vol. 61(C), pages 140-150.
    16. Wenyao Guo & Xianzhong Mu, 2022. "Identification of Cities in Underdeveloped Resource-Rich Areas and Its Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    17. Aurélien Saussay & Misato Sato, 2018. "The Impacts of Energy Prices on Industrial Foreign Investment Location: Evidence from Global Firm Level Data," Working Papers hal-03475473, HAL.
    18. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    19. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    20. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:64:y:2019:i:c:s0301420719303009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.