IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v53y2022i3p1170-1189.html
   My bibliography  Save this article

Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years

Author

Listed:
  • Lilin Zou
  • Xumin Zheng
  • Yongsheng Wang

Abstract

The excessive use of agricultural chemicals and the unreasonable use of agricultural wastes are the main problems encountered by China’s agriculture department. However, the comprehensive study on the discharge intensity of China’s agricultural non‐point source pollution (ANPSP) under the long‐term series has not been fully explored. On the basis of our previous research, the spatial‐temporal characteristics and influence factors of ANPSP discharge intensity in China from 1978 to 2017 were analyzed. The results showed that the discharge intensity from 1978 to 2017 was on a declining curve and roughly underwent four stages, including the free development stage, reform promotion stage, market regulation stage, and policy incentive stage. In this process, the discharge intensity of COD, total nitrogen (TN), and total phosphorus (TP) was, respectively, declined to 1829.1 tons/108 yuan, 758.3 tons/108 yuan, and 100.1 tons/108 yuan. The regional discharge intensity has varied obviously in space as time goes by, showing the characteristics of spatial agglomeration, agglomeration weakening, spatial differentiation, and differentiation aggravation. The influence factor analysis indicated that under the background of implementing the traditional farming mode, increasing farmers’ incomes, adjusting the plantation structure, and remaining the stable agricultural product prices, China’s ANPSP discharge intensity could be reduced effectively.

Suggested Citation

  • Lilin Zou & Xumin Zheng & Yongsheng Wang, 2022. "Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1170-1189, September.
  • Handle: RePEc:bla:growch:v:53:y:2022:i:3:p:1170-1189
    DOI: 10.1111/grow.12572
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12572
    Download Restriction: no

    File URL: https://libkey.io/10.1111/grow.12572?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
    ---><---

    References listed on IDEAS

    as
    1. Wei Huang & Li Jiang, 2018. "Efficiency performance of fertilizer use in arable agricultural production in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(1), pages 52-69, August.
    2. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    3. Meyer-Aurich, Andreas & Karatay, Yusuf Nadi, 2019. "Effects of uncertainty and farmers' risk aversion on optimal N fertilizer supply in wheat production in Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 130-139.
    4. Gregory C. Chow, 1993. "Capital Formation and Economic Growth in China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 809-842.
    5. Zimin Liu & Dan Yang & Tao Wen, 2018. "Agricultural production mode transformation and production efficiency," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(1), pages 160-179, July.
    6. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    7. Bornhofen, Elesandro & Ramires, Thiago Gentil & Bergonci, Tábata & Nakamura, Luiz Ricardo & Righetto, Ana Julia, 2019. "Associations between global indices of risk management and agricultural development," Agricultural Systems, Elsevier, vol. 173(C), pages 281-288.
    8. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    9. Sun, J. & Li, Y.P. & Suo, C. & Liu, Y.R., 2019. "Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia," Agricultural Water Management, Elsevier, vol. 216(C), pages 76-88.
    10. Wei Pei & Qiang Fu & Dong Liu & Tianxiao Li & Kun Cheng & Song Cui, 2019. "A Novel Method for Agricultural Drought Risk Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2033-2047, April.
    11. Haixia Wu & Yan Ge, 2019. "Excessive Application of Fertilizer, Agricultural Non-Point Source Pollution, and Farmers’ Policy Choice," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    12. Zhang, Shemei & Sun, Zhanli & Ma, Wanglin & Valentinov, Vladislav, 2020. "The effect of cooperative membership on agricultural technology adoption in Sichuan, China," China Economic Review, Elsevier, vol. 62(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. Mingtao Yan & Jianji Zhao & Jiajun Qiao & Dong Han & Qiankun Zhu & Yang Yang & Qi Liu & Zhipeng Wang, 2023. "Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization," IJERPH, MDPI, vol. 20(3), pages 1-19, February.

    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. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    2. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    3. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    4. Hongyun Zheng & Wanglin Ma & Gucheng Li, 2021. "Adoption of organic soil amendments and its impact on farm performance: evidence from wheat farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(2), pages 367-390, April.
    5. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Muhammad Ihtisham & Badar Naseem Siddiqui & Shemei Zhang, 2022. "Can Cooperative Supports and Adoption of Improved Technologies Help Increase Agricultural Income? Evidence from a Recent Study," Land, MDPI, vol. 11(3), pages 1-18, March.
    6. Yushi Chen & Xinhong Fu & Yuying Liu, 2022. "Effect of Farmland Scale on Farmers’ Application Behavior with Organic Fertilizer," IJERPH, MDPI, vol. 19(9), pages 1-16, April.
    7. Lin Xie & Biliang Luo & Wenjing Zhong, 2021. "How Are Smallholder Farmers Involved in Digital Agriculture in Developing Countries: A Case Study from China," Land, MDPI, vol. 10(3), pages 1-16, March.
    8. Li, Shiyu & Lin, Shuanglin, 2011. "Is there any gain from social security privatization?," China Economic Review, Elsevier, vol. 22(3), pages 278-289, September.
    9. Kui-Wai Li & Tung Liu & Lihong Yun, 2007. "Technology Progress, Efficiency, and Scale of Economy in Post-reform China," Working Papers 200701, Ball State University, Department of Economics, revised Apr 2007.
    10. Ding Lu, 2002. "Sectoral Factor Reallocation And Productivity Growth: Recent Trends In The Chinese Economy," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 27(2), pages 95-111, December.
    11. He Fancass, 2007. "China’s economic reform : Success, problems and challenges," Macroeconomics Working Papers 22835, East Asian Bureau of Economic Research.
    12. Murach, Michael & Wagner, Helmut & Kim, Jungsuk & Park, Donghyun, 2022. "Trajectories to high income: Comparing the growth dynamics in China, South Korea, and Japan with cointegrated VAR models," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 492-511.
    13. Liu, Tung & Li, Kui-Wai, 2006. "Disparity in factor contributions between coastal and inner provinces in post-reform China," China Economic Review, Elsevier, vol. 17(4), pages 449-470.
    14. Richard Herd & Sean Dougherty, 2007. "Growth Prospects in China and India Compared," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(1), pages 65-89, June.
    15. Liyan Yu & Jerker Nilsson & Feng Zhan & Song Cheng, 2023. "Social Capital in Cooperative Memberships and Farmers’ Access to Bank Credit–Evidence from Fujian, China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    16. Qichun He, 2016. "Do Political Factors Cause the Regional Inequality in the Reform-Era China?," Review of Development Economics, Wiley Blackwell, vol. 20(2), pages 387-398, May.
    17. Zhou, Yixiao & Tyers, Rod, 2019. "Automation and inequality in China," China Economic Review, Elsevier, vol. 58(C).
    18. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    19. Chen, Yufeng & Miao, Jiafeng, 2023. "What Determines China’s Agricultural Non-Point Source Pollution? An Improved LMDI Decomposition Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    20. Hu, Yue & Liu, Chang & Peng, Jiangang, 2021. "Financial inclusion and agricultural total factor productivity growth in China," Economic Modelling, Elsevier, vol. 96(C), pages 68-82.

    More about this item

    Statistics

    Access and download statistics

    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:bla:growch:v:53:y:2022:i:3:p:1170-1189. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.