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The Role of Soil N 2 O Emissions in Agricultural Green Total Factor Productivity: An Empirical Study from China around 2006 when Agricultural Tax Was Abolished

Author

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  • Xiaocang Xu

    (School of Economics, Chongqing Technology and Business University, Chongqing 400067, China)

  • Lu Zhang

    (Research Center for Economy of Upper Reaches of the Yangtse River/School of Economics, Chongqing Technology and Business University, Chongqing 400067, China)

  • Linhong Chen

    (School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China
    School of Public Administration, Sichuan University, Chengdu 610065, China)

  • Chengjie Liu

    (School of Economics, Chongqing Technology and Business University, Chongqing 400067, China)

Abstract

The decision in 2006 to abolish the agricultural tax, which had lasted for thousands of years, contributed to the prosperity of agriculture, and with it the growing importance of soil N 2 O emissions in China. However, most of the previous literature ignored soil N 2 O emissions due to their too small share in total agricultural greenhouse gas (GHG) emissions. This paper attempts to take soil N 2 O emissions as an important variable in the measurement of agricultural green total factor productivity (AGTFP), which incorporates environmental pollution into the analytical framework of agricultural production efficiency. Three impressive results were found. Firstly, soil N 2 O emissions play an increasingly important role in agricultural GHG emissions. The proportion of soil N 2 O emissions in agricultural GHG emissions increased from 4.52% in 1998 to 4.83% in 2006, and then to 5.36% in 2016. Secondly, the regional difference of soil N 2 O emissions in AGTFP is visible. In 2016, although soil N 2 O emissions accounted for a small proportion (about 5%) of the total agricultural GHG emissions in China, the AGTFP including soil N 2 O emissions was much lower than that excluding soil N 2 O emissions, especially in areas with high agricultural and population density. Finally, over time, soil N 2 O emissions have had an increasing effect on AGTFP. Compared with 1998–2006, the impact of excluding soil N 2 O emissions on AGTFP in 2007–2016 was more evident than that including soil N 2 O emissions.

Suggested Citation

  • Xiaocang Xu & Lu Zhang & Linhong Chen & Chengjie Liu, 2020. "The Role of Soil N 2 O Emissions in Agricultural Green Total Factor Productivity: An Empirical Study from China around 2006 when Agricultural Tax Was Abolished," Agriculture, MDPI, vol. 10(5), pages 1-13, May.
  • Handle: RePEc:gam:jagris:v:10:y:2020:i:5:p:150-:d:353856
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    References listed on IDEAS

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    1. David K. Lambert & Elliott Parker, 1998. "Productivity in Chinese Provincial Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(3), pages 378-392, September.
    2. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    3. Dave S. Reay & Eric A. Davidson & Keith A. Smith & Pete Smith & Jerry M. Melillo & Frank Dentener & Paul J. Crutzen, 2012. "Global agriculture and nitrous oxide emissions," Nature Climate Change, Nature, vol. 2(6), pages 410-416, June.
    4. Bayarsaihan, T. & Coelli, T. J., 2003. "Productivity growth in pre-1990 Mongolian agriculture: spiralling disaster or emerging success?," Agricultural Economics, Blackwell, vol. 28(2), pages 121-137, March.
    5. Wu, Shunxiang, et al, 2001. "Productivity Growth and Its Components in Chinese Agriculture after Reforms," Review of Development Economics, Wiley Blackwell, vol. 5(3), pages 375-391, October.
    6. Felix Akrofi-Atitianti & Chinwe Ifejika Speranza & Louis Bockel & Richard Asare, 2018. "Assessing Climate Smart Agriculture and Its Determinants of Practice in Ghana: A Case of the Cocoa Production System," Land, MDPI, vol. 7(1), pages 1-21, March.
    7. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    8. Xiaocang Xu & Linhong Chen, 2019. "Projection of Long-Term Care Costs in China, 2020–2050: Based on the Bayesian Quantile Regression Method," Sustainability, MDPI, vol. 11(13), pages 1-13, June.
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    Cited by:

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    3. Chong Wang & Wei Lu & Ryuzo Ohno & Zongchao Gu, 2020. "Effect of Wall Texture on Perceptual Spaciousness of Indoor Space," IJERPH, MDPI, vol. 17(11), pages 1-14, June.

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