Skip to main content
Log in

Agricultural Non-point Source Pollution in China: Evaluation, Convergence Characteristics and Spatial Effects

  • Published:
Chinese Geographical Science Aims and scope Submit manuscript

Abstract

In this study, an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution (ANSP) and its spatial convergence at national and provincial levels in China from 1999 to 2017. On this basis, spatial factors affecting ANSP were explored by constructing a spatial econometric model. The results indicate that: 1) The intensity of China’s ANSP emission showed an overall upward trend and an obvious spatial difference, with the values being high in the eastern and central regions and relatively low in the western region. 2) Significant spatial agglomeration was shown in China’s ANSP intensity, and the agglomeration effect was increasing gradually. 3) In the convergence analysis, a spatial lag model was found applicable for interpretation of the ANSP intensity, with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth. 4) The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment, labor-force quality, and crop production ratio, while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region. However, agricultural research and development (R&D) investment showed no direct significant effect on the ANSP intensity. Meanwhile, improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas, while the precipitation and runoff would significantly increase the pollution of neighboring regions. This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anselin L, 1988. Spatial Econometrics: Methods and Models. Boston: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Baltas H, Sirin M, Gökbayrak E et al., 2020. A case study on pollution and a human health risk assessment of heavy metals in agricultural soils around Sinop province, Turkey. Chemosphere, 241: 125015. doi: https://doi.org/10.1016/j.chemosphere.2019.125015

    Article  Google Scholar 

  • Barro R J, Sala-i-Martin X, 1992. Convergence. Journal of Political Economy, 100(2): 223–251. doi: https://doi.org/10.1086/261816

    Article  Google Scholar 

  • Bernard A B, Jones C I, 1996. Comparing apples to oranges: productivity convergence and measurement across industries and countries. American Economic Review, 86(5): 1216–1238.

    Google Scholar 

  • Chen Minpeng, Chen Ji’ning, Lai Siwei, 2006. Inventory analysis and spatial distribution of Chinese agricultural and rural pollution. China Environmental Science, 26(6): 751–755. (in Chinese)

    Google Scholar 

  • Collins A L, Zhang Y S, Winter M et al., 2016. Tackling agricultural diffuse pollution: what might uptake of farmer-preferred measures deliver for emissions to water and air? Science of the Total Environment, 547: 269–281. doi: https://doi.org/10.1016/j.scitotenv.2015.12.130

    Article  Google Scholar 

  • Gao Xinhao, Jiang Lihua, Li Xiaolin et al., 2010. Using equivalent standard pollution method to evaluate impacts of agricultural non-point pollution resources on water environment in Shandong province. Chinese Journal of Eco-Agriculture, 18(5): 1066–1070. (in Chinese). doi: https://doi.org/10.3724/SP.J.1011.2010.01066

    Article  Google Scholar 

  • Ge Jihong, Zhou Shudong, 2011. Analysis of economic influence factors of agricultural non-point source pollution—based on Jiangsu province data from 1978 to 2009. Chinese Rural Economy, (5)72–81. (in Chinese)

  • Herrerias M J, Cuadros A, Orts V, 2013. Energy intensity and investment ownership across Chinese provinces. Energy Economics, 36: 286–298. doi: https://doi.org/10.1016/j.eneco.2012.08.043

    Article  Google Scholar 

  • He Baogen, Zhou Naiqi, Gao Jiang et al., 2001. Rainfall and runoff relationship in farmland non-point source pollution research-revision of SCS Law. Environmental Science Research, 14(3): 49–51. (in Chinese)

    Google Scholar 

  • He Xiurong, 2020. Modernization of national food security governance system and governance capacity. Chinese Rural Economy, (6)12–15. (in Chinese)

  • Hu Yunun, Wang Yongdong, Li Tingxuan et al., 2015. Characteristics analysis of agricultural nonpoint source pollution on Tuojiang River Basin. Scientia Agricultura Sinica, 48(18): 3654–3665. (in Chinese)

    Google Scholar 

  • Lai Siyun, Du Pengfei, Chen Ji’ning, 2004. Evaluation of nonpoint source pollution based on unit analysis. Journal of Tsinghua University (Science and Technology), 44(9): 1184–1187. (in Chinese)

    Google Scholar 

  • Lesage J P, Pace R K, 2007. A matrix exponential spatial specification. Journal of Econometrics, 140(1): 190–214. doi: https://doi.org/10.1016/j.jeconom.2006.09.007

    Article  Google Scholar 

  • Li J, Rodriguez D, Tang X Y, 2017a. Effects of land lease policy on changes in land use, mechanization and agricultural pollution. Land Use Policy, 64: 405–413. doi: https://doi.org/10.1016/j.landusepol.2017.03.008

    Article  Google Scholar 

  • Li Wei, Tan Qingmei, Bai Junhong, 2010. Spatial econometric analysis of regional innovation production in china—an empirical study based on static and dynamic spatial panel models. Management World, (7)43–55. (in Chinese)

  • Li Zhaoliang, Luo Xiaofeng, Zhang Zhao et al., 2017b. economic benefits of agricultural research investment, time and space characteristics and influencing factor based on spatial econometric model and empirical research in China. Soft Science, 31(11): 11–15. (in Chinese)

    Google Scholar 

  • Liang Liutao, 2009. Study on the Temporal and Spatial Evolution of Rural Ecological Enviroment. Nanjing: Nanjing Agricultural University. (in Chinese)

    Google Scholar 

  • Liu R M, Zhang P P, Wang X J et al., 2013. Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed. Agricultural Water Management, 117: 9–18. doi: https://doi.org/10.1016/j.agwat.2012.10.018

    Article  Google Scholar 

  • Lu H, Xie H L, 2018. Impact of changes in labor resources and transfers of land use rights on agricultural non-point source pollution in Jiangsu Province, China. Journal of Environmental Management, 207: 134–140. doi: https://doi.org/10.1016/j.jenvman.2017.11.033

    Article  Google Scholar 

  • Lu Shaoyong, Zhang Ping, Pan Chengrong et al., 2017. Agricultural non-point source pollution discharge characteristic and its control measures of Dongtinghu Lake. China Environmental Science, 37(6): 2278–2286. (in Chinese)

    Google Scholar 

  • Ma Jing, 2013. Research on the Non-point Source Pollution Characteristics Analysis and Control and Management of Huaihe Basin. Beijing: Tsinghua University. (in Chinese)

    Google Scholar 

  • Ma X, Li Y, Zhang M et al., 2015. Assessment and analysis of non-point source nitrogen and phosphorus lords in the Three Gorges Reservoir Area of Hubei Province, China. Science of Total Environment, 34(9): 79–81. doi: https://doi.org/10.1016/j.scitotenv.2011.09.034

    Google Scholar 

  • National Bureau of Statistics (NBS), 2000–2019a. China Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • National Bureau of Statistics (NBS), 2000–2019b. China Population and Employment Statistics Yearbook. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • National Bureau of Statistics (NBS), 2000–2019c. China Rural Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • National Bureau of Statistics (NBS), Ministry of Ecology and Environment (MEE), 1998–2018. China Statistics Yearbook on Environment. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • Ongley E D, Zhang X L, Yu T, 2010. Current status of agricultural and rural non-point source pollution assessment in China. Environmental Pollution, 158(5): 1159–1168. doi: https://doi.org/10.1016/j.envpol.2009.10.047

    Article  Google Scholar 

  • Pan Dan, Ying Ruiyao, 2013. Agricultural total factor productivity growth in China under the binding of resource and environment. Resources Science, 35(7): 1329–1338. (in Chinese)

    Google Scholar 

  • Pan Wenqing, 2010. The economic disparity between different regions of China and its reduction-an analysis from the geographical perspective. Social Sciences in China, (1)72–84. (in Chinese)

  • Qiu Wenwen, Zhong Zhangbao, Yuan Chunhui et al., 2018. Spatial differences and dynamic evolution of agricultural non-point source pollution in China. Journal of China Agricultural University, 23(1): 152–163. (in Chinese)

    Google Scholar 

  • Rao Jing, Xu Xiangyu, Ji Xiaoting, 2011. Research on the current situation, mechanism and countermeasures of agricultural non-point source pollution in China. Issues in Agricultural Economy, 32(8): 81–87. (in Chinese)

    Google Scholar 

  • Shang X, Wang X Z, Zhang D L et al., 2012. An improved swat-based computational framework for identifying critical source areas for agricultural pollution at the Lake basin Scale. Ecological Modelling, 226: 1–10. doi: https://doi.org/10.1016/j.ecolmodel.2011.11.030

    Article  Google Scholar 

  • Sidemo-Holm W, Smith H G, Brady M V, 2018. Improving agricultural pollution abatement through result-based payment schemes. Land Use Policy, 77: 209–219. doi: https://doi.org/10.1016/j.landusepol.2018.05.017

    Article  Google Scholar 

  • Su Y, He S, Wang K et al., 2020. Quantifying the sustainability of three types of agricultural production in China: an emergy analysis with the integration of environmental pollution. Journal of Cleaner Production, 252: 119650. doi: https://doi.org/10.1016/j.jclepro.2019.119650

    Article  Google Scholar 

  • Wang Hongyong, 2009. Taihu Wuxi Area Water Resources Protection and Water Pollution Prevention. Beijing: China Water Conservancy and Hydropower Press. (in Chinese)

    Google Scholar 

  • Wittman H, Chappell M J, Abson D J et al., 2017. A social-ecological perspective on harmonizing food security and biodiversity conservation. Regional Environmental Change, 17(5): 1291–1301. doi: https://doi.org/10.1007/s10113-016-1045-9

    Article  Google Scholar 

  • Wu W Y, Liao R K, Hu Y Q et al., 2020. Quantitative assessment of groundwater pollution risk in reclaimed water irrigation areas of Northern China. Environmental Pollution, 261: 114173. doi: https://doi.org/10.1016/j.envpol.2020.114173

    Article  Google Scholar 

  • Zhang Weili, Wu Shuxia, Yan Hongjie et al., 2004. Estimation of agricultural non-point source pollution in china and the alleviating strategies I. Estimation of agricultural non-point source pollution in China in early 21 century. Scientia Agricultura Sinica, 37(7): 1008–1017. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhangbao Zhong.

Additional information

Foundation item

Under the auspices of Key Program of the National Social Science Fund of China (No. 16ASH007)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Qiu, W., Zhong, Z. & Li, Z. Agricultural Non-point Source Pollution in China: Evaluation, Convergence Characteristics and Spatial Effects. Chin. Geogr. Sci. 31, 571–584 (2021). https://doi.org/10.1007/s11769-021-1200-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11769-021-1200-1

Keywords

Navigation