IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p14753-d1257684.html
   My bibliography  Save this article

Examining the Factors Influencing Agricultural Surface Source Pollution in the Yangtze River Economic Zone from the Perspectives of Government, Enterprise, and Agriculture

Author

Listed:
  • Jun Ma

    (School of Economics and Finance, Hohai University, Nanjing 211100, China)

  • Ke Huang

    (School of Economics and Finance, Hohai University, Nanjing 211100, China)

Abstract

In this study, for the period between 2006 and 2021, we used the spatial Durbin model and dynamic Generalized Method of Moments to analyze the spatial and temporal characteristics and contributory factors of agricultural surface source pollution in 11 provinces and cities within China’s Yangtze River Economic Belt from the perspectives of governments, enterprises, and farmers. In addition, we also investigated the threshold characteristics of the distortion of the factor market for agricultural surface source pollution under different levels of environmental regulation. Our results revealed a positive spatial correlation between agricultural surface pollution in the Yangtze River Economic Belt which was significant at the 1% level. Furthermore, we established that government environmental regulation, input factor market distortion, and labor transfer have significant effects on agricultural surface pollution, among which factor market distortion has a significant spatial spillover effect in this economic zone, and environmental regulation has a significant single-threshold effect, with a threshold value of 0.1405. Based on these findings, we propose practical steps for the mitigation of agricultural surface pollution from the perspectives of governments, enterprises, and farmers which could be adopted to support countryside revitalization.

Suggested Citation

  • Jun Ma & Ke Huang, 2023. "Examining the Factors Influencing Agricultural Surface Source Pollution in the Yangtze River Economic Zone from the Perspectives of Government, Enterprise, and Agriculture," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14753-:d:1257684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/14753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/20/14753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ummad Mazhar & Ceyhun Elgin, 2013. "Environmental Regulation, Pollution and the Informal Economy," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 9, pages 62-81.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Thiel, Christian & Nijs, Wouter & Simoes, Sofia & Schmidt, Johannes & van Zyl, Arnold & Schmid, Erwin, 2016. "The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation," Energy Policy, Elsevier, vol. 96(C), pages 153-166.
    4. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    5. Dasgupta, Susmita & Laplante, Benoit & Mamingi, Nlandu & Wang, Hua, 2001. "Inspections, pollution prices, and environmental performance: evidence from China," Ecological Economics, Elsevier, vol. 36(3), pages 487-498, March.
    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. Reza Naimaee & Abbas Kiani & Sina Jarahizadeh & Seyed Babak Haji Seyed Asadollah & Pablo Melgarejo & Antonio Jodar-Abellan, 2024. "Long-Term Water Quality Monitoring: Using Satellite Images for Temporal and Spatial Monitoring of Thermal Pollution in Water Resources," Sustainability, MDPI, vol. 16(2), pages 1-20, January.

    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. Dongyeol Lee & Hyunjoon Lim, 2017. "Multiple Thresholds In The Nexus Between Working Hours And Productivity," Contemporary Economic Policy, Western Economic Association International, vol. 35(4), pages 716-734, October.
    2. Pang, Jingru & Li, Nan & Mu, Hailin & Jin, Xin & Zhang, Ming, 2022. "Asymmetric effects of urbanization on shadow economy both in short-run and long-run:New evidence from dynamic panel threshold model," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    3. Zhimin Zhou, 2019. "The Underground Economy and Carbon Dioxide (CO 2 ) Emissions in China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    4. Dongyeol Lee & Hyunjoon Lim, 2014. "Nonlinearity in Nexus between Working Hours and Productivity," Working Papers 2014-24, Economic Research Institute, Bank of Korea.
    5. Zha, Donglan & Ding, Ning, 2015. "Threshold characteristic of energy efficiency on substitution between energy and non-energy factors," Economic Modelling, Elsevier, vol. 46(C), pages 180-187.
    6. Fenfen Shi & Rijia Ding & Heqing Li & Suli Hao, 2022. "Environmental Regulation, Digital Financial Inclusion, and Environmental Pollution: An Empirical Study Based on the Spatial Spillover Effect and Panel Threshold Effect," Sustainability, MDPI, vol. 14(11), pages 1-28, June.
    7. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    8. Nicolas Canry & Julien Fouquau & Sébastien Lechevalier, 2011. "Sectoral Price Dynamics in Japan: A Threshold Approach," Economics Bulletin, AccessEcon, vol. 31(2), pages 1322-1335.
    9. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    10. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    11. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Insurance Policy Thresholds for Economic Growth in Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(3), pages 672-689, July.
    12. Inés Macho-Stadler, 2008. "Environmental regulation: choice of instruments under imperfect compliance," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(1), pages 1-21, March.
    13. Ettore Bompard & Daniele Grosso & Tao Huang & Francesco Profumo & Xianzhang Lei & Duo Li, 2018. "World Decarbonization through Global Electricity Interconnections," Energies, MDPI, vol. 11(7), pages 1-29, July.
    14. Becker, Sascha S. & Nautz, Dieter, 2012. "Inflation, price dispersion and market integration through the lens of a monetary search model," European Economic Review, Elsevier, vol. 56(3), pages 624-634.
    15. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    16. Jingwen Lu & Lihua Dai, 2023. "Examining the Threshold Effect of Environmental Regulation: The Impact of Agricultural Product Trade Openness on Agricultural Carbon Emissions," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    17. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    18. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    19. Coudert, Virginie & Couharde, Cécile & Mignon, Valérie, 2015. "On the impact of volatility on the real exchange rate – terms of trade nexus: Revisiting commodity currencies," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 110-127.
    20. Zheng, Yingmei & Qi, Jianhong & Chen, Xiaoliang, 2011. "The effect of increasing exports on industrial energy intensity in China," Energy Policy, Elsevier, vol. 39(5), pages 2688-2698, May.

    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:15:y:2023:i:20:p:14753-:d:1257684. 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.