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From resources to capital: Investigating the efficiency of forest ecosystem products value realization in China

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  • Lou, Jia
  • Yang, Guo-liang
  • Song, Lijian
  • Liu, Kai-di

Abstract

Forest resources provide a good ecological environment for human beings and offer economic well-being and benefits. Value realization of ecosystem products reflects the process from resources to capital. This study investigates the two-stage value realization efficiency of China's forest ecosystem products from 2011 to 2021. A parallel nested network Data Envelopment Analysis model is applied to assess product supply and value transformation stages. In addition, the evolution of the spatial pattern is depicted by a multilayer Standard Deviational Ellipse. The results reveal that (1) the overall value realization trend of China's forest ecosystem products shows a fluctuating growth trend, with an average annual efficiency value of 0.86. (2) The efficiency level of the value transformation stage is lower than that of the product supply stage. (3) Regional disparities persist. The efficiency values in East China and South China are higher than that in other regions. (4) The value realization capacity of China's forest ecosystem products may be closely related to national development strategies and policy orientations.

Suggested Citation

  • Lou, Jia & Yang, Guo-liang & Song, Lijian & Liu, Kai-di, 2024. "From resources to capital: Investigating the efficiency of forest ecosystem products value realization in China," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124002519
    DOI: 10.1016/j.seps.2024.102052
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    1. Młynarski, Wojciech & Prędki, Artur & Kaliszewski, Adam, 2021. "Efficiency and factors influencing it in forest districts in southern Poland: Application of Data Envelopment Analysis," Forest Policy and Economics, Elsevier, vol. 130(C).
    2. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Ester Gutiérrez & Sebastián Lozano, 2022. "Cross-country comparison of the efficiency of the European forest sector and second stage DEA approach," Annals of Operations Research, Springer, vol. 314(2), pages 471-496, July.
    4. Han, Xue & Frey, Gregory E. & Geng, Yude & Cubbage, Frederick W. & Zhang, Zhaohui, 2018. "Reform and efficiency of state-owned forest enterprises in Northeast China as “social firms”," Journal of Forest Economics, Elsevier, vol. 32(C), pages 18-33.
    5. Cong Wang, 2023. "Low-carbon transition toward green recovery: policy framework after COVID-19," Economic Change and Restructuring, Springer, vol. 56(5), pages 3117-3137, October.
    6. Liu, Liwei & Chen, Chuxiang & Zhao, Yufei & Zhao, Erdong, 2015. "China׳s carbon-emissions trading: Overview, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 254-266.
    7. Susaeta, Andres & Adams, Damian C. & Carter, Douglas R. & Gonzalez-Benecke, Carlos & Dwivedi, Puneet, 2016. "Technical, allocative, and total profit efficiency of loblolly pine forests under changing climatic conditions," Forest Policy and Economics, Elsevier, vol. 72(C), pages 106-114.
    8. Zhang, Lixia & Sun, Huaping & Pu, Tianlong & Sun, Hui & Chen, Zhenling, 2024. "Do green finance and hi-tech innovation facilitate sustainable development? Evidence from the Yangtze River Economic Belt," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1430-1442.
    9. Susaeta, Andres & Gutiérrez, Ester & Lozano, Sebastián, 2023. "Profit-efficiency analysis of forest ecosystem services in the southeastern US," Ecosystem Services, Elsevier, vol. 64(C).
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    Cited by:

    1. Meng, Gui & Wu, Shuirong & Yu, Yangting, 2025. "Forestry policy effectiveness and performance evaluation in China - Quantitative study based on policy texts 1998–2020," Forest Policy and Economics, Elsevier, vol. 170(C).
    2. Lozano, Sebastián & Gutiérrez, Ester & Susaeta, Andrés, 2025. "Forest efficiency assessment and prediction using dynamic DEA and machine learning," Forest Policy and Economics, Elsevier, vol. 173(C).

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