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Research on Spatial-Temporal Characteristics and Affecting Factors of Agricultural Green Total Factor Productivity in Jiangxi Province

Author

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  • Zhen Wang

    (School of Economics & Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Jiayi Zhu

    (School of Accounting, Jiangxi University of Finance & Economics, Nanchang 330045, China)

  • Xieqihua Liu

    (School of Economics & Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Dongdong Ge

    (School of Economics & Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Bin Liu

    (School of Economics & Management, Jiangxi Agricultural University, Nanchang 330045, China
    Research Center for “Agriculture, Rural Areas, and Farmers”, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Increasing green total factor productivity is the key to achieving green development in agriculture. This study measured the green total factor productivity of Jiangxi’s agriculture, and its regional and temporal evolution characteristics were examined. The fixed-effects model was then used to investigate the model’s fundamental components empirically. The study’s findings reveal the following: During the period under review, technical change was the primary element driving the rise in the green total factor productivity of agriculture. A rising “U”-shaped trend with notable regional variances characterizes the spatial and temporal evolution. The primary factors that affect changes in green total factor productivity in agriculture include the ease of transportation, the per capita disposable income of rural residents, the level of agricultural mechanization, the degree of urbanization, the level of financial support for agriculture, and the percentage of workers in secondary industries, with the impact effect values of 0.581, 0.647, −0.126, −0.729, −0.326, and −0.559, respectively. As a result, it is suggested that in order to substantially increase agricultural green total factor productivity, agricultural green technological support should be strengthened, more fully developed, and promoted in a multi-pronged approach.

Suggested Citation

  • Zhen Wang & Jiayi Zhu & Xieqihua Liu & Dongdong Ge & Bin Liu, 2023. "Research on Spatial-Temporal Characteristics and Affecting Factors of Agricultural Green Total Factor Productivity in Jiangxi Province," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9073-:d:1163610
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    References listed on IDEAS

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    1. Sintayehu Legesse Gebre & Jos Van Orshoven & Dirk Cattrysse, 2023. "Optimizing the Combined Allocation of Land and Water to Agriculture in the Omo-Gibe River Basin Considering the Water-Energy-Food-Nexus and Environmental Constraints," Land, MDPI, vol. 12(2), pages 1-37, February.
    2. Jie Zhang & Meiqiu Chen & Chang Huang & Zhaohao Lai, 2022. "Labor Endowment, Cultivated Land Fragmentation, and Ecological Farming Adoption Strategies among Farmers in Jiangxi Province, China," Land, MDPI, vol. 11(5), pages 1-17, May.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    5. Guoqun Ma & Xiaopeng Dai & Yuxi Luo, 2023. "The Effect of Farmland Transfer on Agricultural Green Total Factor Productivity: Evidence from Rural China," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    6. Robbert Biesbroek & Sarah Judith Wright & Stefanie Korswagen Eguren & Anita Bonotto & Ioannis N. Athanasiadis, 2022. "Policy attention to climate change impacts, adaptation and vulnerability: a global assessment of National Communications (1994–2019)," Climate Policy, Taylor & Francis Journals, vol. 22(1), pages 97-111, January.
    7. Xiangyan Wang & Jinye Li & Nannan Wang, 2023. "Are Economic Growth Pressures Inhibiting Green Total Factor Productivity Growth?," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    8. Xin Luo & Shubin Zhu & Zhenjiang Song, 2023. "Quantifying the Income-Increasing Effect of Digital Agriculture: Take the New Agricultural Tools of Smartphone as an Example," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    9. Yanling Chen & Weiwei Fu & Jingyun Wang, 2022. "Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    10. Xinxin Zhou & Tong Chen & Bangbang Zhang, 2023. "Research on the Impact of Digital Agriculture Development on Agricultural Green Total Factor Productivity," Land, MDPI, vol. 12(1), pages 1-20, January.
    11. Fengting Wang & Hao Wang & Cong Liu & Lichun Xiong & Zhiquan Qian, 2022. "The Effect of Green Urbanization on Forestry Green Total Factor Productivity in China: Analysis from a Carbon Neutral Perspective," Land, MDPI, vol. 11(11), pages 1-21, October.
    12. Guoqun Ma & Danyang Lv & Yuxi Luo & Tuanbiao Jiang, 2022. "Environmental Regulation, Urban-Rural Income Gap and Agricultural Green Total Factor Productivity," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
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    Cited by:

    1. Lijiu Zhao & Tao Jin & Lintao Qin & Zaijun Li, 2023. "Chinese Agriculture for “Green and Grain” Productivity Growth: Evidence from Jiangsu Province," Sustainability, MDPI, vol. 15(24), pages 1-14, December.

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