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Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis

Author

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  • Hualin Xie

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Jinlang Zou

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Hailing Jiang

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Ning Zhang

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Yongrok Choi

    (Department of International Trade, Inha University, Inharo 100, Nam-gu, Incheon 402-751, Korea)

Abstract

The level of arable land-use intensity has important impacts on food security and rural sustainable development. Using the emergy method, we investigate the spatial disparities and driving forces of arable land-use intensity in China from 1999 to 2008 at the national, regional and provincial levels. The empirical results show that chemical fertilizer was the largest component of agricultural inputs and that agricultural diesel oil recorded the highest growth rate. The degree of heterogeneities in arable land-use intensity in China showed a decreasing trend, which resulted mainly from the differences among the eastern, northeastern, central and western regions. The regional disparities in labor, pesticides and plastic sheeting decreased from 1999 to 2008. The per capita annual net incomes of household operations and the agricultural policies had a significant positive correlation with total inputs, fertilizer inputs, pesticide inputs and agricultural plastic sheeting. In addition, the nonagricultural population had a greater impact on agricultural plastic sheeting. Finally, we suggest that there is an urgent need to focus on the effects of chemical fertilizer and pesticide inputs on the ecological environment. Agricultural support policies should be introduced for the poor agricultural production provinces.

Suggested Citation

  • Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3504-3520:d:36604
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    References listed on IDEAS

    as
    1. Dietrich, Jan Philipp & Schmitz, Christoph & Müller, Christoph & Fader, Marianela & Lotze-Campen, Hermann & Popp, Alexander, 2012. "Measuring agricultural land-use intensity – A global analysis using a model-assisted approach," Ecological Modelling, Elsevier, vol. 232(C), pages 109-118.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    3. Pulselli, Federico M. & Coscieme, Luca & Bastianoni, Simone, 2011. "Ecosystem services as a counterpart of emergy flows to ecosystems," Ecological Modelling, Elsevier, vol. 222(16), pages 2924-2928.
    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
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    Cited by:

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    7. Lu, Xiao & Shi, Yangyang & Chen, Changling & Yu, Miao, 2017. "Monitoring cropland transition and its impact on ecosystem services value in developed regions of China: A case study of Jiangsu Province," Land Use Policy, Elsevier, vol. 69(C), pages 25-40.
    8. Meijia Xiao & Qingwen Zhang & Liqin Qu & Hafiz Athar Hussain & Yuequn Dong & Li Zheng, 2019. "Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    9. Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    10. Daquan Huang & Haoran Jin & Xingshuo Zhao & Shenghe Liu, 2014. "Factors Influencing the Conversion of Arable Land to Urban Use and Policy Implications in Beijing, China," Sustainability, MDPI, vol. 7(1), pages 1-15, December.
    11. Dan Lu & Yahui Wang & Qingyuan Yang & Huiyan He & Kangchuan Su, 2019. "Exploring a Moderate Fallow Scale of Cultivated Land in China from the Perspective of Food Security," IJERPH, MDPI, vol. 16(22), pages 1-19, November.
    12. Xionghe Qin & Debin Du, 2017. "Do External or Internal Technology Spillovers Have a Stronger Influence on Innovation Efficiency in China?," Sustainability, MDPI, vol. 9(9), pages 1-17, September.
    13. Li Yu & Zhanqi Wang & Hongwei Zhang & Chao Wei, 2020. "Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    14. Min Jiang & Liangjie Xin & Xiubin Li & Minghong Tan, 2016. "Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    15. Longgao Chen & Xiaoyan Yang & Long Li & Longqian Chen & Yu Zhang, 2021. "The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China," Land, MDPI, vol. 10(11), pages 1-25, November.
    16. Jinlong Gao & Yehua Dennis Wei & Wen Chen & Komali Yenneti, 2015. "Urban Land Expansion and Structural Change in the Yangtze River Delta, China," Sustainability, MDPI, vol. 7(8), pages 1-27, July.
    17. Chenjie Lin & Yueming Hu & Zhenhua Liu & Yiping Peng & Lu Wang & Dailiang Peng, 2022. "Estimation of Cultivated Land Quality Based on Soil Hyperspectral Data," Agriculture, MDPI, vol. 12(1), pages 1-13, January.
    18. Yunqi Wang & Fuli Gao & Jiapeng Yang & Jianyun Zhao & Xiaoge Wang & Guoying Gao & Rui Zhang & Zhikuan Jia, 2018. "Spatio-Temporal Variation in Dryland Wheat Yield in Northern Chinese Areas: Relationship with Precipitation, Temperature and Evapotranspiration," Sustainability, MDPI, vol. 10(12), pages 1-12, November.
    19. Li Chen & Qing Wang, 2021. "Study on the Contradiction between Population and Cultivated Land and the Priority Protection of Cultivated Land in the Policy of Poverty Alleviation: A Case Study of the Upper Reaches of Min River, S," Sustainability, MDPI, vol. 13(6), pages 1-19, March.

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