IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v82y2023ics0301420723002404.html
   My bibliography  Save this article

A study on the effects of natural resource abundance and foreign direct investment on regional eco-efficiency in China under the target of COP26

Author

Listed:
  • Gong, Wenchao

Abstract

Regional eco-efficiency emphasizes the harmonious development of the economy, society and the natural environment, which is of great significance in the construction of an ecological civilization. This study analyzed the data of 30 regions in China from 2009 to 2021, measured regional eco-efficiency by using the super-efficient SBM model and then verified the influence of resource abundance and foreign direct investment (FDI) on regional eco-efficiency using the Tobit model. The conclusions were as follows. (1) The eco-efficiency level in China shows a slow upward trend from 2009 to 2021, and the national average value is low, at 0.519. The eco-efficiency levels of three regions—east, central and west—increased between 2009 and 2021, with the highest eco-efficiency in the east and the lowest in the west. (2) The negative elasticity coefficients of natural resource abundance confirm the existence of the “resource curse” in the eco-efficiency domain in the central and western regions and nationwide, but not in the eastern region. (3) The impact of FDI intensity on eco-efficiency nationwide is negative, but not significant. Eastern and western regions enjoy enhanced regional eco-efficiency, but the effect in the central region is negative. (4) Human capital promotes eco-efficiency in all regions; urbanization in the eastern and western regions and nationwide promotes eco-efficiency, whereas it inhibits eco-efficiency in the central region. Economic growth cannot increase eco-efficiency nationwide, with a positive promotion effect in the eastern and central regions but a negative promotion effect in the western ones. Moreover, green finance can significantly improve national and eastern regional eco-efficiency, but has a non-significant promotion effect in the central region and significant inhibiting effects in the west. Finally, in this paper, the corresponding countermeasures proposed for improving eco-efficiency are described.

Suggested Citation

  • Gong, Wenchao, 2023. "A study on the effects of natural resource abundance and foreign direct investment on regional eco-efficiency in China under the target of COP26," Resources Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723002404
    DOI: 10.1016/j.resourpol.2023.103529
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723002404
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2023.103529?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. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Mr. Carlos A Leite & Jens Weidmann, 1999. "Does Mother Nature Corrupt? Natural Resources, Corruption, and Economic Growth," IMF Working Papers 1999/085, International Monetary Fund.
    5. Ronald Findlay, 1978. "Relative Backwardness, Direct Foreign Investment, and the Transfer of Technology: A Simple Dynamic Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(1), pages 1-16.
    6. Brunnschweiler, Christa N., 2008. "Cursing the Blessings? Natural Resource Abundance, Institutions, and Economic Growth," World Development, Elsevier, vol. 36(3), pages 399-419, March.
    7. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
    8. Papyrakis, Elissaios & Gerlagh, Reyer, 2004. "The resource curse hypothesis and its transmission channels," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 181-193, March.
    9. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    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. Linbin Zhu & Stavros Sindakis & Gazal Showkat, 2024. "Examining the Influence of Mayoral Overconfidence on Government Innovation Investment and City Innovation Power: an Environmental Boundary Model Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14420-14451, September.
    2. Juan Tan & Jinyu Wei, 2024. "Balancing Growth and Sustainability: a Regional Analysis of Industrial Carbon Efficiency in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13946-13978, September.

    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. Kao, Chiang, 2019. "Inefficiency identification for closed series production systems," European Journal of Operational Research, Elsevier, vol. 275(2), pages 599-607.
    2. Jun-Fei Chu & Jie Wu & Ma-Lin Song, 2018. "An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application," Annals of Operations Research, Springer, vol. 270(1), pages 105-124, November.
    3. Suvvari Anandarao & S. Raja Sethu Durai & Phanindra Goyari, 2019. "Efficiency Decomposition in two-stage Data Envelopment Analysis: An application to Life Insurance companies in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 271-285, June.
    4. Huaming Chen & Jia Liu & Ying Li & Yung-Ho Chiu & Tai-Yu Lin, 2019. "A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency," IJERPH, MDPI, vol. 16(9), pages 1-23, April.
    5. Wen-Jing Song & Jian-Wei Ren & Chun-Hua Chen & Chen-Xi Feng & Lin-Qiang Li & Chong-Yu Ma, 2024. "A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs," Sustainability, MDPI, vol. 16(10), pages 1-29, May.
    6. Rajinder Kaur & Jolly Puri, 2024. "Analysing cost-effectiveness in dynamic network DEA: a directional distance function approach," Operational Research, Springer, vol. 24(4), pages 1-31, December.
    7. Shi, Jiangang & Dai, Xingying & Duan, Kaifeng & Li, Jiajia, 2023. "Exploring the performances and determinants of public service provision in 35 major cities in China from the perspectives of efficiency and effectiveness," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Kaya, Gizem & Aydın, Umut & Ülengin, Burç & Karadayı, Melis Almula & Ülengin, Füsun, 2023. "How do airlines survive? An integrated efficiency analysis on the survival of airlines," Journal of Air Transport Management, Elsevier, vol. 107(C).
    9. Wen, Yao & An, Qingxian & Gong, Yeming & Wu, Pengkun, 2024. "Structural rearrangement of the network system from an efficiency perspective: A silver lining of profit improvement," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1001-1011.
    10. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    11. You, Yan Q. & Jie, Tao, 2016. "A study of the operation efficiency and cost performance indices of power-supply companies in China based on a dynamic network slacks-based measure model," Omega, Elsevier, vol. 60(C), pages 85-97.
    12. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    13. Javad Gerami & Mohammad Reza Mozaffari & P. F. Wanke & Henrique Correa, 2022. "A novel slacks-based model for efficiency and super-efficiency in DEA-R," Operational Research, Springer, vol. 22(4), pages 3373-3410, September.
    14. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Clark, Jeremy, 2017. "The evolution of the natural resource curse thesis: A critical literature survey," Resources Policy, Elsevier, vol. 51(C), pages 123-134.
    15. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    17. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    18. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    19. Boyce, John R. & Herbert Emery, J.C., 2011. "Is a negative correlation between resource abundance and growth sufficient evidence that there is a "resource curse"?," Resources Policy, Elsevier, vol. 36(1), pages 1-13, March.
    20. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.

    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:82:y:2023:i:c:s0301420723002404. 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.