Trong Phuong Tran , Duc Vien Tran , Van Khue Phan , Dinh Trung Nguyen , Truong Son Cao , Duc Loc Nguyen , Huu Cong Vo
{"title":"Factors influencing agricultural land transformation for climate change adaptation in Can Loc district, Ha Tinh province, Vietnam","authors":"Trong Phuong Tran , Duc Vien Tran , Van Khue Phan , Dinh Trung Nguyen , Truong Son Cao , Duc Loc Nguyen , Huu Cong Vo","doi":"10.1016/j.indic.2024.100576","DOIUrl":null,"url":null,"abstract":"<div><div>In recent years, the socioeconomic development of Ha Tinh province, particularly in the Can Loc district, has been significantly influenced by substantial agricultural growth, however, the grassroot factors such as economic condition, policy mechanism, employment, natural factors have not been considered. This study aims to investigate the impact of these factors on agricultural land transformation in Can Loc district, Ha Tinh province, Vietnam. The methodology utilizes a survey-based approach to collect data from 200 households and employs multivariate regression statistics to investigate the factors that drive changes in agricultural land use in response to climate change in the Can Loc district. The findings reveal a hierarchy of factors that influence agricultural land use change for climate adaptation in the district. Economic factors (X4) have the most substantial influence, accounting for 23.56% of the observed changes. Policies mechanisms (X1) rank second, contributing to 21.15% of the observed changes. Employment considerations (X5) rank third, with a contribution of 19.87%. Climate change considerations (X2) closely follow, accounting for 18.69%. Nature factors (X3) round up the list, with a 16.73% influence. Furthermore, the study proposes policies mechanisms and suggests implementing comprehensive mechanization processes to enhance the agricultural production capacity, enabling better adaptation to climate change.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100576"},"PeriodicalIF":5.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Sustainability Indicators","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665972724002447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the socioeconomic development of Ha Tinh province, particularly in the Can Loc district, has been significantly influenced by substantial agricultural growth, however, the grassroot factors such as economic condition, policy mechanism, employment, natural factors have not been considered. This study aims to investigate the impact of these factors on agricultural land transformation in Can Loc district, Ha Tinh province, Vietnam. The methodology utilizes a survey-based approach to collect data from 200 households and employs multivariate regression statistics to investigate the factors that drive changes in agricultural land use in response to climate change in the Can Loc district. The findings reveal a hierarchy of factors that influence agricultural land use change for climate adaptation in the district. Economic factors (X4) have the most substantial influence, accounting for 23.56% of the observed changes. Policies mechanisms (X1) rank second, contributing to 21.15% of the observed changes. Employment considerations (X5) rank third, with a contribution of 19.87%. Climate change considerations (X2) closely follow, accounting for 18.69%. Nature factors (X3) round up the list, with a 16.73% influence. Furthermore, the study proposes policies mechanisms and suggests implementing comprehensive mechanization processes to enhance the agricultural production capacity, enabling better adaptation to climate change.