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Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China

Author

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  • Wenxin Liu

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Ruifan Xu

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Yue Deng

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Weinan Lu

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Boyang Zhou

    (College of International Relations, Xi’an International Studies University, Xi’an 710061, China)

  • Minjuan Zhao

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

Abstract

The coordinated development of the economy, resources, and environment is a key aspect of sustainable development. China’s rapid agricultural modernization has been accompanied by the continuous growth of rural economic aggregate and carbon emissions from the planting industry. However, the quantitative relationship between these two factors and its internal mechanism are not yet fully understood. In this paper, the Intergovernmental Panel on Climate Change (IPCC) method is used to calculate the carbon emissions of the planting industry in China from 1998–2019. Based on this, the Tapio decoupling analysis model was constructed to study the decoupling relationship between economic development and carbon emissions of the planting industry in China from 1998–2019 and the associated spatial and temporal evolution patterns. The effect of the complete decomposition model (without residuals), in terms of carbon emissions from the planting industry, on the process of economic development and its transmission mechanism are introduced. The results show that: (1) The carbon emissions of the planting industry in China increased with the economic development occurring from 1998–2005, where agricultural economic development was highly dependent on resource factors and the environment. The growth trend of carbon emissions of the planting industry slowed from 2006 to 2019, while economic development has gradually realized the decoupling of carbon emissions from the planting industry. (2) From 1998–2019, in Heilongjiang, Sichuan, and Hunan, the economic development was given priority, showing strong and negative decoupling with carbon emissions from farming. The economic development in most regions were given priority, showing strong decoupling with carbon emissions from farming. Up to 2019, decoupling was observed with a significant trend of spatial agglomeration. (3) Economic scale effects had a positive influence on the carbon emissions of the planting industry, while the technology effect and population effect had an inhibiting influence on the carbon emissions of the planting industry. The key policy implication of this paper is that improvement of the quality of economic development serves as the premise for the transformation of the economic development mode. It is necessary to reasonably regulate the economic growth rate and expansion scale, reduce resource consumption and pollutant emission technology, and to make full use of resources, in order to provide a basis for the formulation of reasonable emission reduction policies. An effective way to realize the sustainable development of the agricultural economy would be to improve the technical efficiency, control the population scale appropriately, and optimize the agricultural industrial structure.

Suggested Citation

  • Wenxin Liu & Ruifan Xu & Yue Deng & Weinan Lu & Boyang Zhou & Minjuan Zhao, 2021. "Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2257-:d:505434
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    References listed on IDEAS

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    1. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    2. CARSON, RICHARd T. & JEON, YONGIL & McCUBBIN, DONALD R., 1997. "The relationship between air pollution emissions and income: US Data," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 433-450, November.
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    2. Qin Shu & Yang Su & Hong Li & Feng Li & Yunjie Zhao & Chen Du, 2023. "Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
    3. Yihui Chen & Minjie Li, 2024. "How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    4. Nihal Ahmed & Zeeshan Hamid & Khalil Ur Rehman & Piotr Senkus & Nisar Ahmed Khan & Aneta Wysokińska-Senkus & Barbara Hadryjańska, 2023. "Environmental Regulation, Fiscal Decentralization, and Agricultural Carbon Intensity: A Challenge to Ecological Sustainability Policies in the United States," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

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