移动电话网络扩展与农业收入:面板研究

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Svenja Fluhrer, Kati Kraehnert
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引用次数: 0

摘要

本研究探讨了移动电话网络的扩展如何影响蒙古的农村发展。数据库是一个详细的家庭面板调查,在蒙古西部进行了四波调查,时间跨度为 2012-2021 年,我们将其与手机信号塔数据相结合。我们的识别策略利用了移动电话网络在农村地区随时间推移的不均衡推广。利用双向固定效应方法,我们发现网络的扩展显著增加了牧民家庭的总收入。这一效应的驱动因素是农业收入的增加,尤其是动物副产品生产价格的上涨、转移性收入的增加以及家庭流动性的增加。移动电话网络的扩展减少了牧民收入的多样化。取而代之的是,家庭专门从事农业生产。虽然研究结果表明,对电信基础设施的投资可以帮助农村家庭维持农业部门的生计,但农业专业化可能会增加家庭面对气候变化的脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mobile phone network expansion and agricultural income: A panel study

Mobile phone network expansion and agricultural income: A panel study

This study examines how the expansion of mobile phone networks affects rural development in Mongolia. The database is a detailed household panel survey with four waves implemented in western Mongolia, spanning the 2012–2021 period, which we combine with data on mobile phone towers. Our identification strategy exploits the uneven roll-out of mobile phone networks across rural areas over time. Using a two-way fixed effects approach, we show that network expansion strongly and significantly increases total household income of pastoralist households. The effect is driven by increased income from agriculture, particularly by higher producer prices for animal byproducts, improved access to transfer income, and increased household mobility. The expansion of mobile phone networks decreases income diversification among pastoralists. Instead, households specialize in agriculture. While findings suggest that investments in telecommunication infrastructure can help rural households to sustain a livelihood in the agricultural sector, the specialization in agriculture may increase households’ vulnerability to climate change.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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