Resources Science, Volume. 42, Issue 4, 636(2020)

Actor-Centred Power Theory in forest governance

Jiacheng ZHAO1,2, Pei ZHANG1, Feng BA1, Krott MAX2, and Jinlong LIU1、*
Author Affiliations
  • 1School of Agriculture and Rural Development, Renmin University of China, Beijing 100872, China
  • 2Institute of Forest and Nature Conservation Policy, University of Goettingen, Goettingen D-37077, Germany
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    The rapid development of the world economy and society, the reduction of forest area, forest degradation, and other ecological and environmental issues have become significantly prominent. The forest has become an important stage for the game of different actors. In order to analyze the social network relationship in the research field of forest governance, this article introduced the Actor-centered Power theory established by Max Krott and other colleagues. The theory proposes that actors can impose their interest on others through three power elements coercion, (dis)incentive, and dominant information, which would change the latter’s behavior and determine the ultimate effect of forest governance. Through the analysis of social networks to guide the formulation and implementation of relevant policies, this theory has gradually become an important analytical framework for many research fields. Our article summed up the concepts of power theory, research methods, and classification of power elements, and further explored the research boundary and applicable fields of the theory. Finally, combining Chinese research situation, our article put forward the application prospect and development potential of the theory in China. Under the background of ecological civilization construction, the Actor-centered Power theory could provide an effective analytical framework for Chinese scholars to analyze the existing governance structure of natural resources such as forests and build a good governance system.

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    Jiacheng ZHAO, Pei ZHANG, Feng BA, Krott MAX, Jinlong LIU. Actor-Centred Power Theory in forest governance[J]. Resources Science, 2020, 42(4): 636

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    Paper Information

    Received: Aug. 1, 2019

    Accepted: --

    Published Online: Apr. 15, 2021

    The Author Email: LIU Jinlong (liujinlong@ruc.edu.cn)

    DOI:10.18402/resci.2020.04.04

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