Emergy-Based Evaluation on the Systemic Sustainability of Rural Ecosystem under China Poverty Alleviation and Rural Revitalization: A Case of the Village in North China

Abstract

A number of new rural management models have emerged to solve the problems of economic backwardness, insufficient resource utilization, and technical shortages in rural areas in the context of poverty alleviation to the rural revitalization strategy in China. However, the influence of new rural management model under all countermeasures for rural sustainable development with a comprehensive perspective is lacking. Therefore, exploring whether the new rural management model meets the requirements of sustainable development is an urgent issue. From the theory of system metabolism and emergy accounting method, this study classified the government funds for poverty alleviation measures as import resources, and analyzed the metabolic structure, efficiency, and the rural development factors of Chehe Village before and after poverty alleviation measures are carried out (the year of 2012 and 2019) to verify whether the new model was sustainable. According to the results of this study, the new management model of Chehe Village declined the rural system sustainability with the emergy sustainability index decreasing from 1.96 in 2012 to 0.32 in 2019. With the development of economy, the system metabolic efficiency of Chehe Village promoted and the metabolic structure became more reasonable manifesting in the decline of emergy use per unit GDP and the increase of emergy exchange rate. Moreover, production and livelihood had been highly valued in Chehe Village. In conclusion, it is feasible to add countermeasures of poverty alleviation and rural revitalization into the village system metabolism. The new management model of Chehe Village needs to change exogenous force into endogenous force to meet the requirements of rural sustainable development.

Rural Revitalization Evaluation using a Hybrid Method of BP Neural Network and Genetic Algorithm Based on Deep Learning Model

“…The government should give political guarantees for the healthy growth of -agricultural, rural areas, and farmers‖ and should direct the development and construction of rural areas. The government should emphasize agricultural production and policy reform, promote agricultural and rural modernization, www.ijacsa.thesai.org and improve the training of rural grassroots party groups and talent management [8].…”

An exploratory study of local social innovation initiatives for sustainable poverty reduction in Nigeria

“…Beyond economic growth, sustainability is a critical issue when developing poverty reduction strategies. As Xu et al (2021, p. 1), note, sustainability is ‘… a development process that minimises consumption of natural resources and the resulting environmental impacts, while simultaneously providing economic and quality of life benefits.’ It is also often recognised as the ‘triple bottom line’ of maintaining a balance between three dimensions: economy, environment and society (Elkington & Rowlands, 1999; Kristensen & Mosgaard, 2020; Pérez‐Peña et al, 2021).…”

Construction and demonstration of early-warning evaluation index system of poverty return from the perspective of rural revitalization

“…It can play a preventive role in returning to poverty risk for the marginal population and the poor population and can effectively reduce the frequency of returning to poverty in farming households. At the same time, it also helps to realize the effective connection between consolidating the results of poverty alleviation and rural revitalization [10]. This paper firstly designs the early warning mechanism for returning to poverty from the perspective of rural revitalization based on five parts: intervention subject, intervention object, large database, intervention means, and early warning standard, and explores the operation idea of the early warning mechanism for returning to poverty, as well as the method and system of emergency decision-making.…”