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Has China’s New Round of Collective Forest Reforms Reduced Forest Fragmentation? A Case Study of the Beijing–Tianjin–Hebei Region

Author

Listed:
  • Shuning Zhu

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Jinlong Liu

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Hao Xu

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Lingchao Li

    (School of Economics & Management, Beijing Forestry University, Beijing 100083, China)

  • Wentao Yang

    (School of Soil & Water Conservation, Beijing Forestry University, Beijing 100083, China)

Abstract

The new wave of reform of collective forestland tenure (NRCFT) in China is considered an important policy for achieving sustainable management of forest resources. The purpose of this study is to investigate the influence of NRCFT on forest fragmentation in the Beijing–Tianjin–Hebei region of China based on a fixed-effects model. The forest fragmentation was analyzed based on the remote sensing images of Landsat and landscape pattern indices in the Beijing–Tianjin–Hebei region from 2000 to 2018. The results showed that (1) The NRCFT has significantly contributed to reducing forest fragmentation. (2) The effect of economic growth on forest fragmentation showed an inverted U-shape. (3) The implementation of the Grain for Green Program (GGP) and the transformation of rural energy consumption significantly reduce the degree of forest fragmentation. This study has crucial implications for formulating policies, achieving good forest governance, and reducing forest fragmentation.

Suggested Citation

  • Shuning Zhu & Jinlong Liu & Hao Xu & Lingchao Li & Wentao Yang, 2022. "Has China’s New Round of Collective Forest Reforms Reduced Forest Fragmentation? A Case Study of the Beijing–Tianjin–Hebei Region," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6183-:d:819245
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