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《理解印度的增长趋同(1981-2010):超越常见的因素》

"Understanding growth convergence in India (1981-2010): Looking beyond the usual suspects".

机构信息

Department of Women's Studies, Goa University, Taleigao Plateau, Goa.

Goa Business School, Goa University, Taleigao Plateau, Goa.

出版信息

PLoS One. 2020 Jun 2;15(6):e0233549. doi: 10.1371/journal.pone.0233549. eCollection 2020.

DOI:10.1371/journal.pone.0233549
PMID:32484807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7266299/
Abstract

The literature on growth convergence has focused to a great extent on the role of initial incomes as a primary determinant of long-term growth outcomes. Expanded versions of growth models have used other explanators to unpack the growth process. In this paper we add to the literature in two significant ways: (a) we use socioeconomic variables that are sometimes overlooked in explaining growth (such as, political stability and political alliance, social heterogeneity, and demographic distribution), and (b) we demonstrate that earlier analyses may be overlooking the problem of normality and endogeneity in regression models (and we provide alternate methods like instrumental variable and distribution dynamics to control for these). In this paper we analyze the per capita income growth at the subnational level in India for the period 1981-82 to 2010-11 using an expanded growth framework. We find that initial incomes, the ratio of working age group to total population, political stability and alliance, and the extent of development expenditure play a positive and significant role in predicting growth. We also find that, contrary to popular belief, the presence of marginalized groups-namely Scheduled Castes and Scheduled Tribes-have not been a hindrance to growth of per capita incomes in states. Our findings on the influence of social institutions may have significant implications for a public policy of affirmative action in India. The results on the impact of development expenditure on growth is also important for states seeking to increase their growth rates through policy intervention.

摘要

关于增长趋同的文献在很大程度上侧重于初始收入作为长期增长结果的主要决定因素的作用。扩展后的增长模型使用了其他解释变量来分解增长过程。在本文中,我们以两种重要方式对文献进行了补充:(a)我们使用了在解释增长时有时会被忽视的社会经济变量(例如政治稳定和政治联盟、社会异质性和人口分布);(b)我们证明了早期分析可能忽略了回归模型中正态性和内生性的问题(我们提供了替代方法,如工具变量和分布动态,以控制这些问题)。本文使用扩展的增长框架分析了印度 1981-82 年至 2010-11 年期间的次国家级人均收入增长。我们发现,初始收入、劳动年龄人口与总人口的比例、政治稳定与联盟,以及发展支出的程度,对预测增长起着积极和重要的作用。我们还发现,与普遍看法相反,边缘化群体(即在册种姓和在册部落)的存在并没有阻碍各州人均收入的增长。我们关于社会制度影响的发现,对于印度的平权行动公共政策可能具有重要意义。关于发展支出对增长的影响的结果,对于寻求通过政策干预提高增长率的州也很重要。

相似文献

1
"Understanding growth convergence in India (1981-2010): Looking beyond the usual suspects".《理解印度的增长趋同(1981-2010):超越常见的因素》
PLoS One. 2020 Jun 2;15(6):e0233549. doi: 10.1371/journal.pone.0233549. eCollection 2020.
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[On the economy of "wealth of people": demographic-political theories in the Austria of enlightened absolutism].论“民富”的经济:开明专制主义时期奥地利的人口政治理论
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Tiers Monde. 1983 Jul-Sep;24(95):475-96.
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Does caste determine farmer access to quality information?种姓制度是否决定了农民获取优质信息的机会?
PLoS One. 2019 Jan 25;14(1):e0210721. doi: 10.1371/journal.pone.0210721. eCollection 2019.
2
The Contribution of Population Health and Demographic Change to Economic Growth in China and India.人口健康与人口结构变化对中国和印度经济增长的贡献
J Comp Econ. 2010 Mar 1;38(1):17-33. doi: 10.1016/j.jce.2009.11.002.