How to Develop Sustainably after Poverty Alleviation in Poverty-Stricken Areas under Paired Assistance: A Quantitative Assessment Framework Based on System Dynamics Model

Abstract

The paired assistance approach is an important measure for achieving poverty alleviation in China. The sustainable development of poverty-stricken areas after poverty alleviation has become an important task in preventing a return to poverty and promoting rural revitalization. Paired assistance is a dynamic process of balanced economic, social, and population development. This study establishes a system dynamics (SD) model for developing poverty-stricken regions under paired assistance. This study takes Lvchun County in Yunnan Province as the research object, designates six scenarios, and simulates the development of Lvchun County from 2019 to 2035 to evaluate its sustainable development after poverty alleviation. The results show that the cessation of poverty alleviation funding will not increase the incidence of poverty under paired assistance but will lead to an unbalanced scenario of “poor people and a rich government”. In the multi-scenario simulation, only by continuing the cooperation foundation formed by paired assistance and paying attention to the resource endowment of poverty-stricken areas can collaborative development be adopted to achieve sustainable development by 2030. This result may be a valuable resource for the world’s underdeveloped regions to reference as they seek to eliminate poverty, reduce the risk of returning to poverty, and promote sustainable development.

Assessing the Stability of Poverty Alleviation from a Household Economic Perspectives

“…However, the difference is that this study carries out a comparative analysis of poverty alleviation stability in five counties based on an innovative theoretical analysis framework of poverty alleviation stability, while Guo et al focused on the poverty alleviation stability of Chengkou County in Chongqing, identifying the risk of returning to poverty in Chengkou County. From the perspective of the influencing factors of the poverty alleviation stability in five counties in Yunnan Province, the results of this study are basically consistent with the findings of the Anhua County in Hunan Province by Wang Fuzhen and others, which concluded that lack of capacity is the main influencing factor of poverty alleviation stability [19]. However, this study makes an innovative analysis of the influencing mechanisms of county-level poverty alleviation stability.…”

“…Meanwhile, this study can select some concrete cases to further explain the influencing factors of poverty alleviation stability. For example, Wang Fuzhen et al [19] believe that the development ability of farmers, income level, and ecological environment are the key factors affecting the stability of poverty alleviation in counties. Generally speaking, the poorer the region, the higher the dependence on natural resources and the ecological environment, and the five counties in Yunnan Province are typical poor mountainous counties, where problems such as karst desertification, insufficient arable land, and more disasters have led to the lack of ecological foundation for regional development, which has led to the phenomenon of instability in poverty alleviation.…”

“…For example, Guo et al [18] used a static spatial panel data model to quantitatively measure the stability of poverty alleviation in Chengkou County, Chongqing, in 2019 and found that the overall poverty alleviation stability in the study area was low and showed significant spatial heterogeneity. From the perspective of household economy, Wang et al [19] constructed a spatial econometric model for evaluating the stability of poverty alleviation in Anhua County, Hunan Province, and established the influence mechanism of poverty alleviation stability; the results showed that topographic conditions and economic income exert significant effects on the stability of poverty alleviation in the study area and that close attention should be paid to the subsequent sustainable development of unstable farm households living on steep slopes in high mountains. Meanwhile, some scholars have explored the opposite side of poverty alleviation stability, that is, vulnerability, which can reflect stability conditions from the side to a certain extent.…”

Effect of Micro-Credit for Poverty Alleviation on Income Growth and Poverty Alleviation—Empirical Evidence from Rural Areas in Hebei, China

“…The stable increase in farmers' income is not only an important guarantee for high-quality poverty alleviation, but it is also an essential condition for promoting rural revitalization [40,41]. With the successful completion of poverty alleviation, the government should take proper measures to prevent people from returning to poverty after being lifted out of it, which is an important task [42][43][44]. Only when the characteristic poverty alleviation industries ensure long-term and healthy development and farmers' income grows continuously and stably can the risk of returning to poverty be reduced effectively so as to ensure the quality of the poverty alleviation method.…”