IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4574-d539673.html
   My bibliography  Save this article

The Dual Impacts of Green Credit on Economy and Environment: Evidence from China

Author

Listed:
  • Yanli Wang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaodong Lei

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Dongxiao Zhao

    (Business School, Beijing International Studies University, Beijing 100024, China)

  • Ruyin Long

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Meifen Wu

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Green credit is regarded as an important means to promote sustainable growth. Based on the provincial panel dataset of China from 2007 to 2017, this paper investigates the dual impacts of green credit on the economy and environment, and it establishes mediating effect models to analyze the Porter hypothesis. The results show that the green credit policy significantly improves economic performance and reduces pollutant emissions. The above results are robust to employing methods with alternative variables and instrumental variables. Second, the green credit policy contributes to innovation; that is, the green credit increases the innovation scale and improves innovation efficiency. The results of mediating effect models suggest that the Porter effect of green credit can be achieved by improving innovation efficiency. The findings of the current study indicate that the green credit policy helps achieve the win–win situation for economic goals and environmental targets.

Suggested Citation

  • Yanli Wang & Xiaodong Lei & Dongxiao Zhao & Ruyin Long & Meifen Wu, 2021. "The Dual Impacts of Green Credit on Economy and Environment: Evidence from China," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4574-:d:539673
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4574/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/8/4574/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Zhichuan & Minor, Dylan B. & Wang, Jun & Yu, Chong, 2019. "A learning curve of the market: Chasing alpha of socially responsible firms," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    2. Chen, Yufeng & Ma, Yanbai, 2021. "Does green investment improve energy firm performance?," Energy Policy, Elsevier, vol. 153(C).
    3. Andreas Karpf & Antoine Mandel, 2018. "The changing value of the ‘green’ label on the US municipal bond market," Nature Climate Change, Nature, vol. 8(2), pages 161-165, February.
    4. Geng, Duanyang & Lai, Kee-hung & Zhu, Qinghua, 2021. "Eco-innovation and its role for performance improvement among Chinese small and medium-sized manufacturing enterprises," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Yujun Cui & Sean Geobey & Olaf Weber & Haiying Lin, 2018. "The Impact of Green Lending on Credit Risk in China," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    6. Haifeng Huang & Jing Zhang, 2021. "Research on the Environmental Effect of Green Finance Policy Based on the Analysis of Pilot Zones for Green Finance Reform and Innovations," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
    7. Haoqi Qian & Shaodan Xu & Jing Cao & Feizhou Ren & Wendong Wei & Jing Meng & Libo Wu, 2021. "Air pollution reduction and climate co-benefits in China’s industries," Nature Sustainability, Nature, vol. 4(5), pages 417-425, May.
    8. Hollingsworth, Alex J. & Konisky, David M. & Zirogiannis, Nikolaos, 2021. "The health consequences of excess emissions: Evidence from Texas," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    9. Jin, Peizhen & Peng, Chong & Song, Malin, 2019. "Macroeconomic uncertainty, high-level innovation, and urban green development performance in China," China Economic Review, Elsevier, vol. 55(C), pages 1-18.
    10. Liu, Xinghe & Wang, Enxian & Cai, Danting, 2019. "Green credit policy, property rights and debt financing: Quasi-natural experimental evidence from China," Finance Research Letters, Elsevier, vol. 29(C), pages 129-135.
    11. Raphael Calel & Sandra C. Chapman & David A. Stainforth & Nicholas W. Watkins, 2020. "Temperature variability implies greater economic damages from climate change," Nature Communications, Nature, vol. 11(1), pages 1-5, December.
    12. Dikau, Simon & Volz, Ulrich, 2021. "Central bank mandates, sustainability objectives and the promotion of green finance," Ecological Economics, Elsevier, vol. 184(C).
    13. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki, 2019. "The way to induce private participation in green finance and investment," Finance Research Letters, Elsevier, vol. 31(C), pages 98-103.
    14. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    15. Shixian Ling & Guosheng Han & Dong An & William Cannon Hunter & Hui Li, 2020. "The Impact of Green Credit Policy on Technological Innovation of Firms in Pollution-Intensive Industries: Evidence from China," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    16. Paul Tobin, 2020. "Economics from zero-sum to win-win," Nature Climate Change, Nature, vol. 10(5), pages 386-387, May.
    17. Wen, Huwei & Lee, Chien-Chiang & Zhou, Fengxiu, 2021. "Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises," Energy Economics, Elsevier, vol. 94(C).
    18. Mark A. White, 1996. "Environmental Finance: Value And Risk In An Age Of Ecology," Business Strategy and the Environment, Wiley Blackwell, vol. 5(3), pages 198-206, September.
    19. Linnenluecke, Martina K. & Smith, Tom & McKnight, Brent, 2016. "Environmental finance: A research agenda for interdisciplinary finance research," Economic Modelling, Elsevier, vol. 59(C), pages 124-130.
    20. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    21. Scholtens, Bert & Dam, Lammertjan, 2007. "Banking on the Equator. Are Banks that Adopted the Equator Principles Different from Non-Adopters?," World Development, Elsevier, vol. 35(8), pages 1307-1328, August.
    22. Yaowei Cao & Youtang Zhang & Liu Yang & Rita Yi Man Li & M. James C. Crabbe, 2021. "Green Credit Policy and Maturity Mismatch Risk in Polluting and Non-Polluting Companies," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
    23. Zhang, Dongyang, 2021. "Green credit regulation, induced R&D and green productivity: Revisiting the Porter Hypothesis," International Review of Financial Analysis, Elsevier, vol. 75(C).
    24. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
    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. Chuan Shao & Jia Wei & Chuanzhe Liu, 2021. "Empirical Analysis of the Influence of Green Credit on the Industrial Structure: A Case Study of China," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    2. Yan Yang & Yingli Zhang, 2022. "The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    3. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
    4. Sun, Yunpeng & Guan, Weimin & Cao, Yuning & Bao, Qun, 2022. "Role of green finance policy in renewable energy deployment for carbon neutrality: Evidence from China," Renewable Energy, Elsevier, vol. 197(C), pages 643-653.
    5. Haisheng Chen & Dingqing Ni & Shuiping Zhu & Ying Ying & Manhong Shen, 2022. "Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    6. Haoyang Lu & Jing Tong & Yajiao Tang, 2022. "Analysis of Green Credit and the Ecological Welfare Performance Based on Empirical Models and ARIMA(2,3,2): Taking China as an Example," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    7. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
    8. Yanhong Liu & Jia Lei & Yihua Zhang, 2021. "A Study on the Sustainable Relationship among the Green Finance, Environment Regulation and Green-Total-Factor Productivity in China," Sustainability, MDPI, vol. 13(21), pages 1-27, October.
    9. Wan, Qilong & Miao, Xiaodong & Afshan, Sahar, 2022. "Dynamic effects of natural resource abundance, green financing, and government environmental concerns toward the sustainable environment in China," Resources Policy, Elsevier, vol. 79(C).
    10. Viktor Koval & Olga Laktionova & Dzintra Atstāja & Janis Grasis & Iryna Lomachynska & Roman Shchur, 2022. "Green Financial Instruments of Cleaner Production Technologies," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    11. Wei, Xiaobo & Mohsin, Muhammad & Zhang, Qiongxin, 2022. "Role of foreign direct investment and economic growth in renewable energy development," Renewable Energy, Elsevier, vol. 192(C), pages 828-837.

    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. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
    2. Na Lu & Jiahui Wu & Ziming Liu, 2022. "How Does Green Finance Reform Affect Enterprise Green Technology Innovation? Evidence from China," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    3. Luo, Sumei & Yu, Shenghui & Zhou, Guangyou, 2021. "Does green credit improve the core competence of commercial banks? Based on quasi-natural experiments in China," Energy Economics, Elsevier, vol. 100(C).
    4. Yao, Shouyu & Pan, Yuying & Sensoy, Ahmet & Uddin, Gazi Salah & Cheng, Feiyang, 2021. "Green credit policy and firm performance: What we learn from China," Energy Economics, Elsevier, vol. 101(C).
    5. Shi, Jinyan & Yu, Conghui & Li, Yanxi & Wang, Tianhe, 2022. "Does green financial policy affect debt-financing cost of heavy-polluting enterprises? An empirical evidence based on Chinese pilot zones for green finance reform and innovations," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Guo, Shu & Zhang, ZhongXiang, 2023. "Green credit policy and total factor productivity: Evidence from Chinese listed companies," Energy Economics, Elsevier, vol. 128(C).
    7. Chuan Shao & Jia Wei & Chuanzhe Liu, 2021. "Empirical Analysis of the Influence of Green Credit on the Industrial Structure: A Case Study of China," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    8. Qianyi Du & Haoran Pan & Shuang Liang & Xiaoxue Liu, 2023. "Can Green Credit Policies Accelerate the Realization of the Dual Carbon Goal in China? Examination Based on an Endogenous Financial CGE Model," IJERPH, MDPI, vol. 20(5), pages 1-26, March.
    9. Aghilasse Kashi & Mohamed Eskandar Shah, 2023. "Bibliometric Review on Sustainable Finance," Sustainability, MDPI, vol. 15(9), pages 1-30, April.
    10. Bhatnagar, S. & Sharma, D., 2022. "Evolution of green finance and its enablers: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Goshu Desalegn & Anita Tangl, 2022. "Developing Countries in the Lead: A Bibliometric Approach to Green Finance," Energies, MDPI, vol. 15(12), pages 1-19, June.
    12. Lee, Chien-Chiang & Wang, Chih-Wei & Thinh, Bui Tien, 2023. "Green development, climate risks, and cash flow: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    13. Weiping Li & Xiaoqi Chen & Tao Yuan, 2023. "Green credit policy and corporate cash holdings: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S2), pages 2875-2903, June.
    14. Zhou, Guangyou & Zhu, Jieyu & Luo, Sumei, 2022. "The impact of fintech innovation on green growth in China: Mediating effect of green finance," Ecological Economics, Elsevier, vol. 193(C).
    15. Yanli Wang & Na Zhao & Xiaodong Lei & Ruyin Long, 2021. "Green Finance Innovation and Regional Green Development," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    16. Jiang, Pengcheng & Jiang, Hongli & Wu, Jiahui, 2022. "Is inhibition of financialization the sub-effect of the green credit policy? Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    17. Yuan, Na & Gao, Yihong, 2022. "Does green credit policy impact corporate cash holdings?," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    18. Huang, Hongyun & Mbanyele, William & Wang, Fengrong & Song, Malin & Wang, Yuzhang, 2022. "Climbing the quality ladder of green innovation: Does green finance matter?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Xu, Aiting & Zhu, Yuhan & Wang, Wenpu, 2023. "Micro green technology innovation effects of green finance pilot policy—From the perspectives of action points and green value," Journal of Business Research, Elsevier, vol. 159(C).
    20. Tao, Hu & Zhuang, Shan & Xue, Rui & Cao, Wei & Tian, Jinfang & Shan, Yuli, 2022. "Environmental Finance: An Interdisciplinary Review," Technological Forecasting and Social Change, Elsevier, vol. 179(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:gam:jsusta:v:13:y:2021:i:8:p:4574-:d:539673. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.