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Dynamic Evolution and Spatial Convergence of the Virtual Cultivated Land Flow Intensity in China

Author

Listed:
  • Kunpeng Wang

    (College of Land Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Wenjun Wu

    (College of Land Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Awais Jabbar

    (College of Land Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Zinabu Wolde

    (College of Land Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Minghao Ou

    (College of Land Management, Nanjing Agricultural University, Nanjing 210095, China
    Center of Urban-Rural Joint Development and Land Management Innovation, Nanjing 210095, China)

Abstract

Exploring the flow intensity of virtual cultivated land is the key to improving the ecological compensation and food security policy. This study aimed to analyze the dynamic evolution, spatial convergence, and its affecting factors of the virtual cultivated land flow intensity. The spatial convergence model was used in this study. The results showed that, during 2000–2018, the growth rate of the surplus state of virtual cultivated land at the national level is less than that of the deficit state of virtual cultivated land in China. Moreover, the number of deficit provinces of virtual cultivated land flow intensity is increasing. The absolute β-convergence characteristics of the virtual cultivated land flow intensity are significant at the national, northeast, central, and western regions. Additionally, the conditional β-convergence exists at the national and four regional levels. Meanwhile, cultivated land resource endowment, population scale, regional economic development level, and agricultural mechanization level play an important role in the convergence process of inter-regional virtual cultivated land flow intensity. However, the influence degree of different control variables on different regional virtual cultivated land flow intensity is not consistent. Therefore, policymakers should pay attention to cultivated land resources’ spatial transfer mechanism when making regional cultivated land ecological compensation policies to coordinate the interesting relationship between the deficit area and surplus area of virtual cultivated land. Therefore, it is necessary to take the virtual cultivated land flow intensity as the reference index and use the combination of market guidance and government control to stimulus the stakeholders to protect cultivated land by taking different measures.

Suggested Citation

  • Kunpeng Wang & Wenjun Wu & Awais Jabbar & Zinabu Wolde & Minghao Ou, 2021. "Dynamic Evolution and Spatial Convergence of the Virtual Cultivated Land Flow Intensity in China," IJERPH, MDPI, vol. 18(13), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7164-:d:588393
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    References listed on IDEAS

    as
    1. Liu, Luo & Liu, Zhenjie & Gong, Jianzhou & Wang, Lu & Hu, Yueming, 2019. "Quantifying the amount, heterogeneity, and pattern of farmland: Implications for China’s requisition-compensation balance of farmland policy," Land Use Policy, Elsevier, vol. 81(C), pages 256-266.
    2. Baylis, Kathy & Peplow, Stephen & Rausser, Gordon & Simon, Leo, 2008. "Agri-environmental policies in the EU and United States: A comparison," Ecological Economics, Elsevier, vol. 65(4), pages 753-764, May.
    3. Zhou, Xin & Imura, Hidefumi, 2011. "How does consumer behavior influence regional ecological footprints? An empirical analysis for Chinese regions based on the multi-region input–output model," Ecological Economics, Elsevier, vol. 71(C), pages 171-179.
    4. Sergio J. Rey & Boris Dev, 2006. "σ‐convergence in the presence of spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 217-234, June.
    5. Lai, Zhaohao & Chen, Meiqiu & Liu, Taoju, 2020. "Changes in and prospects for cultivated land use since the reform and opening up in China," Land Use Policy, Elsevier, vol. 97(C).
    6. Kunpeng Wang & Minghao Ou & Zinabu Wolde, 2020. "Regional Differences in Ecological Compensation for Cultivated Land Protection: An Analysis of Chengdu, Sichuan Province, China," IJERPH, MDPI, vol. 17(21), pages 1-16, November.
    7. Sanaa ElFadily & Abdelilah Kaddar & Khalid Najib, 2019. "Direction and Stability of Hopf Bifurcation in a Delayed Solow Model with Labor Demand," International Journal of Differential Equations, Hindawi, vol. 2019, pages 1-8, June.
    8. Fontana, Veronika & Radtke, Anna & Bossi Fedrigotti, Valérie & Tappeiner, Ulrike & Tasser, Erich & Zerbe, Stefan & Buchholz, Thomas, 2013. "Comparing land-use alternatives: Using the ecosystem services concept to define a multi-criteria decision analysis," Ecological Economics, Elsevier, vol. 93(C), pages 128-136.
    9. Wood, Richard & Lenzen, Manfred & Dey, Christopher & Lundie, Sven, 2006. "A comparative study of some environmental impacts of conventional and organic farming in Australia," Agricultural Systems, Elsevier, vol. 89(2-3), pages 324-348, September.
    10. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    11. Latif, Khalid & Raza, Muhammad Yousaf & Shahid Adil & Rehana Kouser, 2020. "Nexus between Economy, Agriculture, Population, Renewable Energy and CO2 Emissions: Evidence from Asia-Pacific Countries," Journal of Business and Social Review in Emerging Economies, CSRC Publishing, Center for Sustainability Research and Consultancy Pakistan, vol. 6(1), pages 261-276, March.
    12. Gogos, Stylianos G. & Mylonidis, Nikolaos & Papageorgiou, Dimitris & Vassilatos, Vanghelis, 2014. "1979–2001: A Greek great depression through the lens of neoclassical growth theory," Economic Modelling, Elsevier, vol. 36(C), pages 316-331.
    13. Qiang, Wenli & Niu, Shuwen & Liu, Aimin & Kastner, Thomas & Bie, Qiang & Wang, Xiang & Cheng, Shengkui, 2020. "Trends in global virtual land trade in relation to agricultural products," Land Use Policy, Elsevier, vol. 92(C).
    14. Mehdi Senouci & Hugo Mauron, 2020. "A new model of technical change and an application to the Solow model," Working Papers hal-02919860, HAL.
    15. Zhu, Lanlan & Zhang, Chunman & Cai, Yinying, 2018. "Varieties of agri-environmental schemes in China: A quantitative assessment," Land Use Policy, Elsevier, vol. 71(C), pages 505-517.
    16. Sutton, Paul C. & Anderson, Sharolyn J. & Costanza, Robert & Kubiszewski, Ida, 2016. "The ecological economics of land degradation: Impacts on ecosystem service values," Ecological Economics, Elsevier, vol. 129(C), pages 182-192.
    17. Ákos Dombi & István Dedák, 2019. "Public debt and economic growth: what do neoclassical growth models teach us?," Applied Economics, Taylor & Francis Journals, vol. 51(29), pages 3104-3121, June.
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