Research on Targeted Poverty Alleviation and Eco-Compensation Model in Impoverished Mountainous Areas: A Case Study of Longnan City, China

Yuan Qi (), Xiaoyu Song, Xihong Lian, Hongwei Wang, Xiaofang Ma and Jinlong Zhang
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Yuan Qi: Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xiaoyu Song: Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xihong Lian: Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Hongwei Wang: Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xiaofang Ma: Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jinlong Zhang: Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

Sustainability, 2024, vol. 16, issue 16, 1-22

Abstract: Poverty remains a significant global challenge, particularly in severely impoverished areas where balancing eco-civilization and economic growth is crucial. This study aims to analyze livelihood assets, determine appropriate strategies, and establish an eco-compensation model based on ecological vulnerability in Longnan City. We developed a livelihood evaluation index system using the Sustainable Livelihoods Framework and entropy weight method to assess the vulnerable portfolio of livelihood assets. We examined poverty causes and proposed targeted alleviation measures. Additionally, we created an “Eco-Compensation Model of Longnan City” incorporating the Sloping Land Conversion Program, key industries exit compensation, and cross-provincial water compensation based on incentive and punitive mechanisms. Our findings reveal that severely impoverished areas in Longnan City are primarily in the central, southern, and northwestern regions. Poverty is driven by unfavorable natural conditions, frequent natural disasters, regional economic marginalization, inadequate infrastructure, and a limited agricultural structure. The evaluation shows that natural capital in the five areas is lower than the national average level. We propose targeted measures for different vulnerable livelihood portfolios. The eco-compensation model provides a scientifically calculated compensation standard, offering a crucial funding source for implementing targeted poverty alleviation strategies.

Keywords: targeted poverty alleviation; livelihood assets; eco-compensation; severely impoverished areas; Longnan City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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