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

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  • 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.

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  • 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
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    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. 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.
    3. 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).
    4. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. 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.
    12. 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.
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