Abstract
Scientific evaluation of the interaction between poverty reduction efficiency (PRE) and ecosystem services (ES) in state poverty counties is essential in promoting the rural revitalization strategy and the construction of an ecological civilization. Using the DEA model, the InVEST model, and fixed-effect panel data, this study was analyzed using the panel data of 832 poverty counties in China for 2010–2019 to evaluate the relationship between poverty reduction efficiency and ecosystem services. The main results are as follows: (1) The overall poverty reduction efficiency showed an upward trend, while ES exhibited a declining trend with spatial heterogeneity. The poverty reduction efficiency of state poverty counties in the western region increased rapidly. (2) The impact of different types of ecosystem services on poverty reduction efficiency varied considerably. Habitat quality was significantly negatively impacted, while food production and carbon storage showed significant positive effects. There was a significant positive relationship between ecosystem services and poverty reduction efficiency in all regions, with the eastern region having the strongest correlation. (3) The panel regression analysis showed a significant positive impact. The environmental parameters were the primary factors affecting poverty reduction efficiency, while economic and social factors were the driving and external factors. The rural revitalization strategy should strive towards the win-win effect of ecological protection and economic development.
Highlights
Poverty does affect the economy and people’s livelihoods, and the social stability and long-term development of a country
Using InVEST’s habitat quality (HQ) module, the land cover data was combined with the biodiversity threat factors to calculate the raster data [27]
Dxj z + kz where Q xj is the habitat quality of the grid x in the habitat type j, Dxj is the disturbance degree of the grid x in the habitat type j, k is the half-saturation constant, which is usually half of the maximum value obtained after a trial run of Q xj, and Hj is the habitat suitability of habitat type j
Summary
Poverty does affect the economy and people’s livelihoods, and the social stability and long-term development of a country. Countries across the globe have pledged to eradicate poverty as part of their commitment to achieving the UN Sustainable. 2020, China adopted “The Targeted Poverty Reduction Policy” to eradicate extreme poverty in rural China, lifting nearly 100 million poor people out of poverty. This resulted in the removal of all counties in China from the poverty list and resolved major regional poverty problems, thereby supporting international efforts to curb global poverty [2]. Since most of China’s poor areas overlap with ecologically fragile areas and key ecological function areas, poverty reduction must balance and consider environmental protection to achieve green sustainable development [3]. We used the fixed-effect panel model to explore
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