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What Determines China’s Agricultural Non-Point Source Pollution? An Improved LMDI Decomposition Analysis

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  • Chen, Yufeng
  • Miao, Jiafeng

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  • 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.
    • Handle: RePEc:ags:jlaare:320673
    DOI: 10.22004/ag.econ.320673
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    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
    3. 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.
    4. Kaixing Huang & Wenshou Yan & Jikun Huang, 2020. "Agricultural subsidies retard urbanisation in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1308-1327, October.
    5. Wang, Miao & Feng, Chao, 2021. "The consequences of industrial restructuring, regional balanced development, and market-oriented reform for China's carbon dioxide emissions: A multi-tier meta-frontier DEA-based decomposition analysi," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    6. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    7. Abman, Ryan & Carney, Conor, 2020. "Agricultural productivity and deforestation: Evidence from input subsidies and ethnic favoritism in Malawi," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    8. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    9. Feng, Weilun & Liu, Yansui & Qu, Lulu, 2019. "Effect of land-centered urbanization on rural development: A regional analysis in China," Land Use Policy, Elsevier, vol. 87(C).
    10. Yushan Hu & Ben G. Li, 2021. "The production economics of economics production," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 228-255, February.
    11. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    12. Rong He & Chaofeng Shao & Rongguang Shi & Zheyu Zhang & Run Zhao, 2020. "Development Trend and Driving Factors of Agricultural Chemical Fertilizer Efficiency in China," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    13. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    14. Yang, Jun & Hao, Yun & Feng, Chao, 2021. "A race between economic growth and carbon emissions: What play important roles towards global low-carbon development?," Energy Economics, Elsevier, vol. 100(C).
    15. Wang, Yutao & Yang, Xuechun & Sun, Mingxing & Ma, Lei & Li, Xiao & Shi, Lei, 2016. "Estimating carbon emissions from the pulp and paper industry: A case study," Applied Energy, Elsevier, vol. 184(C), pages 779-789.
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