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利用潜在类别前沿效率模型研究农场的经济、环境和社会可持续性之间的权衡:西班牙作物农场的证据。

Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms.

机构信息

Department of Agricultural Production and Resource Economics, Technische Universität München, Freising, Germany.

Natural Resources Institute Finland (Luke), Business Economics, Helsinki, Finland.

出版信息

PLoS One. 2022 Jan 10;17(1):e0261190. doi: 10.1371/journal.pone.0261190. eCollection 2022.

Abstract

This article studies trade-offs of farms in terms of economic sustainability (proxied here by technical efficiency), environmental sustainability (proxied here by farmers' commitment towards the environment) and social sustainability (proxied here by farmers' contribution to on farm well-being and communities' well-being). We use the latent class stochastic frontier model and create classes based on three separating variables, representing farms' environmental sustainability and social sustainability. The application to a sample of Spanish crop farms shows that more environmentally sustainable farms are likely to have lower levels of technical efficiency. However, improvements in social concerns, both towards own farm and the larger community, may lead to improved technical efficiency levels. In general, our study provides evidence of trade-offs for farms between economic sustainability and environmental sustainability, but also between environmental sustainability and social sustainability.

摘要

本文研究了农场在经济可持续性(这里用技术效率来表示)、环境可持续性(这里用农民对环境的承诺来表示)和社会可持续性(这里用农民对农场和社区福祉的贡献来表示)方面的权衡取舍。我们使用潜在类别随机前沿模型,并根据三个分隔变量创建类别,代表农场的环境可持续性和社会可持续性。对西班牙作物农场的样本应用表明,更注重环境可持续性的农场可能技术效率水平较低。然而,对自身农场和更大社区的社会关注的改善,可能会导致技术效率水平的提高。总的来说,我们的研究为农场在经济可持续性和环境可持续性之间,以及在环境可持续性和社会可持续性之间的权衡取舍提供了证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c038/8746714/c67da5f45809/pone.0261190.g001.jpg

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