Literature DB >> 33187788

Using structural equation modelling to identify regional socio-economic driving forces of soil erosion: A case study of Jiangxi Province, southern China.

Shuxia Yu1, Ling Wang1, Jinsong Zhao1, Zhihua Shi2.   

Abstract

Socioeconomic factors are key driving forces for the occurrence and development of soil erosion, but their effects are not well understood. To analyse the relationship between the socioeconomic system and soil erosion, a framework was proposed and validated with structural equation modelling. Population pressure, economic development, agricultural inputs and outputs and soil erosion are latent variables of the framework. A case study was conducted in Jiangxi Province. The results showed that economic development was the key controlling factor and that agricultural output was the main promoting factor for soil erosion, with path coefficients of -1.321 and 1.609 in 1995 and -0.624 and 0.453 in 2010, respectively. This implied that the contradiction between socioeconomic development and ecological protection was alleviated during the study period. Agricultural input controlled severe soil erosion (-‍0.322) while promoting mild soil erosion (0.095), which indicated that more attention should be paid to the adverse impact of excessive agricultural inputs on soil erosion control. The identification of the socioeconomic driving forces of regional soil erosion could help adjust the development strategy and mitigate the negative effects of economic development on soil erosion control and ecological conservation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Driving forces; Jiangxi Province; Socioeconomic factors; Soil erosion; Structural equation modelling

Year:  2020        PMID: 33187788     DOI: 10.1016/j.jenvman.2020.111616

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Influence of Government Information on Farmers' Participation in Rural Residential Environment Governance: Mediating Effect Analysis Based on Moderation.

Authors:  Bowen Wang; Desheng Hu; Diandian Hao; Meng Li; Yanan Wang
Journal:  Int J Environ Res Public Health       Date:  2021-11-30       Impact factor: 3.390

  1 in total

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