Farming efficiency and environmental resource dependence: Evidence from panel data for rural Central Vietnam

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Sina Bierkamp, Trung Thanh Nguyen, Ulrike Grote
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引用次数: 0

Abstract

Farming and natural resource extraction are the main livelihood strategies of the rural poor in developing countries. A better understanding of their relationship is needed to alleviate existing pressures on resources and to reduce poverty. To date, mainly monetary indicators have been used to measure environmental resource dependence. However, these are inadequate for poor people who consume rather than sell their environmental products. Therefore, we propose the Environmental Resource Dependence Index (ERDI) to better capture the multidimensionality of dependence. We analyse the relationship between farming efficiency and environmental resource dependence using a simultaneous equations model (SEM) and panel data for 2013, 2016 and 2017 from three rural provinces in Central Vietnam. Time-variant farming efficiency is estimated using a stochastic frontier model (SFM) with true random effects and Mundlak's adjustment. Our results show that monetary measures underestimate the extent of dependency. Therefore, policymakers should be careful to correctly identify those who are dependent on the environment. In addition, the results suggest that improved farming efficiency reduces the dependence on environmental resources. At the same time, higher dependence does not have a significant effect on farming efficiency.

Abstract Image

农业效率与环境资源依赖性:来自越南中部农村地区面板数据的证据
耕作和自然资源开采是发展中国家农村贫困人口的主要谋生策略。需要更好地了解它们之间的关系,以减轻现有的资源压力,减少贫困。迄今为止,主要采用货币指标来衡量对环境资源的依赖程度。然而,对于消费而非出售环境产品的贫困人口来说,这些指标是不够的。因此,我们提出了环境资源依赖性指数 (ERDI),以更好地反映依赖性的多面性。我们使用同时方程模型(SEM)和越南中部三个农村省份 2013 年、2016 年和 2017 年的面板数据分析了耕作效率和环境资源依赖性之间的关系。使用具有真实随机效应的随机前沿模型(SFM)和 Mundlak 调整来估算时变农业效率。我们的结果表明,货币措施低估了依赖程度。因此,政策制定者应注意正确识别依赖环境的人群。此外,结果表明,农业效率的提高降低了对环境资源的依赖程度。同时,依赖程度越高,对耕作效率的影响越小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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