Explicating the responses of NDVI and GDP to the poverty alleviation policy in poverty areas of China in the 21st century

Fan, Zemeng; Bai, Xuyang; Zhao, Na

doi:10.1371/journal.pone.0271983

Cited by 6 publications

(3 citation statements)

References 55 publications

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“…Therefore, it is necessary to refine human activity factors further to analyze their influence on vegetation cover. Previous research has shown that factors such as labor migration and increased economic levels can impact changes in vegetation cover (Chen et al, 2022;Fan et al, 2022). In this research, we identified five socio-economic determinants to represent human activities and incorporated temperature and precipitation data to account for natural influences.…”

Section: Analysis Of Human Activities As Drivers Of Vegetation Cover ...mentioning

confidence: 99%

Vegetation cover change and its response to human activities in the southwestern karst region of China

Liu,

Zhang

2024

Front. Ecol. Evol.

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Vegetation to some extent can reflect the overall state of the ecological environment, and increasing vegetation cover can improve the quality of the ecological environment. The southwest karst region of China is a typical ecologically fragile area and an important ecological barrier. Against the backdrop of intensified human activities, the vegetation dynamics in the karst region have attracted widespread attention. Analyzing vegetation cover changes and their responses to human activities is important for regional ecological development. This study is based on SPOT-VGT NDVI data from 1998 to 2020 and employs trend analysis, “baseline” determination, multiple regression, residual analysis, and principal component analysis to investigate the characteristics of vegetation cover changes in the southwest karst region of China. Additionally, it quantifies the specific impacts of various human activities on these changes. The research findings indicate that (1) over the past 23 years, the interannual variability and seasonal differences in the NDVI of the southwest karst region have been significant, exhibiting an overall increasing trend. Spatially, the vegetation in this region demonstrates a decreasing trend from south to north and southwest to northeast. (2) Over time, the areas where vegetation has improved gradually expand, and the effectiveness of vegetation restoration increases with time. (3) Overall, human activities influence vegetation growth in the southwest karst landscape region of China. (4) The socioeconomic factors affecting vegetation cover changes in the southwest karst region of China primarily include economic development level, population and labor migration, urbanization development, and vegetation construction. These results provide a scientific basis for formulating reasonable ecological environment protection strategies by humans.

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Section: Analysis Of Human Activities As Drivers Of Vegetation Cover ...mentioning

confidence: 99%

Vegetation cover change and its response to human activities in the southwestern karst region of China

Liu,

Zhang

2024

Front. Ecol. Evol.

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“…We used 'greenness' as a variable to represent the amount of vegetation in each region, which can influence the economic level from an agricultural productivity perspective and CO 2 emissions concerning its role in emissions mitigation 59,60 . The measure of 'greenness' was obtained from the NDVI, a satellite-based measure of vegetation greenness.…”

Section: Economic Growth and Co 2 Emissions Analysismentioning

confidence: 99%

Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions

Yoo,

Xiao,

Zhong

et al. 2024

Commun Earth Environ

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Industrial land drives economic growth but also contributes to global warming through carbon dioxide emissions. Still, the variance in its impact on economies and emissions across countries at different development stages is understudied. Here, we used satellite data and machine learning to map industrial land at 30 m resolution in ten countries with substantial industrial value-added, and analyzed the impact of industrial land expansion on economic growth and emissions in 216 subnational regions from 2000 to 2019. We found that industrial land expansion was the leading factor for economic growth and emissions in developing regions, contributing 31% and 55%, respectively. Conversely, developed regions showed a diminished impact (8% and 3%, respectively), with a shift towards other economic growth drivers like education. Our findings encourage developing regions to consider the adverse effects of climate change during industrial land expansion and that developed regions prioritize human capital investment over further land expansion.

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“…For poverty-stricken areas, returning farmland to forest and grass is an important method to achieve ecological poverty alleviation. Low NDVI represents that the local green area is less, and the ecological environment needs to be improved [97,98]. The government will be more proactive in promoting ecological restoration, such as returning farmland to the forest.…”

Section: Heterogeneity Test Based On Ndvimentioning

confidence: 99%

Why Have China’s Poverty Eradication Policy Resulted in the Decline of Arable Land in Poverty-Stricken Areas?

Ran,

Hua,

et al. 2023

Land

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Arable land resources are the basic livelihood security for people in poverty-stricken areas, and poor people are prone to uncontrolled expansion of arable land and exogenous ecological damage to secure their livelihoods. To avoid this vicious cycle, China’s poverty eradication policy requires greater management and restoration of arable land in poverty-stricken areas, but it is unknown what impacts it may bring. Therefore, this study examines the impact of policy implementation on arable land by the Difference-in-Differences (DID) model and uses the mediating and moderating models to test the policy’s mechanism on arable land. The results reveal that the policy significantly reduces the arable land, and the results remain robust, controlling for potential endogeneity variables and robustness tests. What’s more, the results of the mediating and moderating effect models indicate that the reduction of arable land is mainly due to the increase of unit yield, guiding the local people to abandon degraded land and to carry out ecological restoration, thus reducing the arable land area and achieving sustainable development. Finally, recommendations are proposed from the perspective of human-land coordination.

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Explicating the responses of NDVI and GDP to the poverty alleviation policy in poverty areas of China in the 21st century

Cited by 6 publications

References 55 publications

Vegetation cover change and its response to human activities in the southwestern karst region of China

Vegetation cover change and its response to human activities in the southwestern karst region of China

Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions

Why Have China’s Poverty Eradication Policy Resulted in the Decline of Arable Land in Poverty-Stricken Areas?

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