Factors influencing agricultural land transformation for climate change adaptation in Can Loc district, Ha Tinh province, Vietnam

IF 5.6 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2025-02-01 Epub Date: 2024-12-30 DOI:10.1016/j.indic.2024.100576
Trong Phuong Tran , Duc Vien Tran , Van Khue Phan , Dinh Trung Nguyen , Truong Son Cao , Duc Loc Nguyen , Huu Cong Vo
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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.
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越南河静省芹洛区农业用地转型适应气候变化的影响因素
近年来,河静省特别是禅洛地区的社会经济发展受到农业大幅增长的显著影响,但没有考虑经济条件、政策机制、就业、自然等基层因素。本研究旨在探讨这些因素对越南河静省芹洛区农用地转化的影响。该方法采用基于调查的方法收集了来自200户家庭的数据,并采用多元回归统计来调查Can Loc地区农业用地利用变化对气候变化的影响因素。这些发现揭示了影响该地区农业用地变化以适应气候变化的因素的层次结构。经济因素(X4)的影响最大,占观测变化的23.56%。政策机制(X1)排名第二,占观察到的变化的21.15%。就业考虑(X5)排名第三,贡献19.87%。其次是气候变化因素(X2),占18.69%。自然因素(X3)紧随其后,影响力为16.73%。此外,研究还提出了政策机制建议,并建议实施综合机械化进程以提高农业生产能力,从而更好地适应气候变化。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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