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Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement

Author

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  • Huijun Ji

    (Jin Zhong Vocational & Technical College)

  • Arber Hoti

    (University of Prishtina)

Abstract

The low-carbon agriculture strategy equipped with green economy is developed to encourage the substantial growth of green assets of the natural resources. In order to achieve growth in agricultural energy efficiency, this paper mainly uses the directional distance function and the ML index to analyze the agricultural total factor energy efficiency in the 11 provinces and cities of the Yangtze River Economic Belt from both dynamic and static aspects, and uses the fixed-effect panel model method. The main influencing factors are regression analysis of panel data. The results of the study show that for every 1% increase in crop damage, the agricultural energy efficiency will drop by 0.452%; the literacy level of the labor force at the level of 5% significantly affects agricultural energy efficiency. This work contributes in improving the smart city planning along with the reduction in the degree of damage to crops due to the negative impact of industrial structure and the level of mechanization. This work enables the futuristic technologies by promoting the level of urbanization, labor education and the government’s financial support for agriculture.

Suggested Citation

  • Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01421-3
    DOI: 10.1007/s13198-021-01421-3
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    References listed on IDEAS

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    1. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    2. Lee, Yoonseok & Mukherjee, Debasri & Ullah, Aman, 2019. "Nonparametric estimation of the marginal effect in fixed-effect panel data models," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 53-67.
    3. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    4. Bernard Fingleton & Julie Gallo & Alain Pirotte, 2018. "A multidimensional spatial lag panel data model with spatial moving average nested random effects errors," Empirical Economics, Springer, vol. 55(1), pages 113-146, August.
    5. Jesus T. Pastor & Juan Aparicio & Javier Alcaraz & Fernando Vidal & Diego Pastor, 2018. "Bounded directional distance function models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 985-1004, December.
    6. Hans Jensen & Ignacio Pérez Domínguez & Thomas Fellmann & Paul Lirette & Jordan Hristov & George Philippidis, 2019. "Economic Impacts of a Low Carbon Economy on Global Agriculture: The Bumpy Road to Paris," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
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    Cited by:

    1. Jingpeng Chen & Desheng Zhang & Zhi Chen & Zhijian Li & Zigong Cai, 2022. "Effect of Agricultural Social Services on Green Production of Natural Rubber: Evidence from Hainan, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    2. Zhang, Ming & Du, Panpan & Jiang, Lixia, 2023. "Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China," Resources Policy, Elsevier, vol. 83(C).
    3. Chunbin Zhang & Rong Zhou & Jundong Hou & Mengtong Feng, 2022. "Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective," Sustainability, MDPI, vol. 14(24), pages 1-24, December.

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