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Author:

Liu, Yefei (Liu, Yefei.) | Meng, Gui (Meng, Gui.) | Wu, Shuirong (Wu, Shuirong.) | Zhang, Xufeng (Zhang, Xufeng.) | Zhao, Chengle (Zhao, Chengle.) | Yang, Hongguo (Yang, Hongguo.)

Indexed by:

SSCI Scopus

Abstract:

The establishment of nature reserves is an important measure to protect the wild population of Chinese alligators. Due to the overlap of nature reserves and human living areas, there is a certain conflict between economic development and ecological protection. How to formulate a feasible eco-compensation scheme and accurately analyze the influencing factors of eco-compensation willingness is of great significance to alleviate the contradiction between local residents and Chinese alligators. In this study, the contingent valuation method (CVM) was used to measure and analyze the residents' willingness to accept (WTA) at National Chinese Alligator Nature Reserve (NCANR) located in Anhui province, China. Furthermore, decision tree modeling and logistic regression were used to analyze the influencing factors of residents' WTA in NCANR, which provides a new insight to the influencing factors of eco-compensation. The results indicate that: (1) 93% of the residents living in NCANR have a WTA compensation, and the amount of WTA is CNY 25,542 (USD 3659.36) per household per year; and (2) individual characteristics, ecological protection cognition and external impact affect the WTA, and external impact on local residents is the most important factor affecting WTA. Therefore, it is necessary to make differential compensation to ensure the fairness of eco-compensation. In addition, the propaganda of eco-compensation should be strengthened, and the boundary of NCANR needs to be further clarified. The sources of funds for eco-compensation are supposed to be broadened, and poverty alleviation can be combined with eco-compensation policies.

Keyword:

contingent valuation method (CVM) eco-compensation nature reserve willingness to accept Chinese alligator

Author Community:

  • [ 1 ] [Liu, Yefei]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China
  • [ 2 ] [Meng, Gui]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China
  • [ 3 ] [Wu, Shuirong]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China
  • [ 4 ] [Zhao, Chengle]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China
  • [ 5 ] [Meng, Gui]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
  • [ 6 ] [Zhang, Xufeng]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 7 ] [Zhang, Xufeng]West Virginia Univ, Sch Nat Resources, Morgantown, WV 26506 USA
  • [ 8 ] [Yang, Hongguo]Chinese Acad Forestry, Res Inst Ecol Protect & Restorat, Beijing 100091, Peoples R China

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Source :

LAND

Year: 2022

Issue: 10

Volume: 11

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:38

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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