Department of Economic Sciences, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India.
Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.
PLoS One. 2020 Nov 16;15(11):e0241907. doi: 10.1371/journal.pone.0241907. eCollection 2020.
Due to unavailability of consistent income data at the sub-state or district level in developing countries, it is difficult to generate consistent and reliable economic inequality estimates at the disaggregated level. To address this issue, this paper employs the association between night time lights and economic activities for India at the sub-state or district-level, and calculates regional income inequality using Gini coefficients. Additionally, we estimate the relationship between night time lights and socio-economic development for regions in India. We employ a newly available data on regional socio-economic development (Social Progress Index), as well as an index that represents institutional quality or governance. Robust to the choice of socio-economic development indicators, our findings indicate that regional inequality measured by night time lights follow the Kuznets curve pattern. This implies that starting from low levels of socio-economic development or quality of institutions, inequality rises as regional socio-economic factors or quality of institutions improve, and with subsequent progress in socio-economic factors or quality of institutions, regional inequality declines.
由于发展中国家州或地区层面缺乏一致的收入数据,因此很难在细分层面生成一致和可靠的经济不平等估计。为了解决这个问题,本文利用印度州或地区层面夜间灯光与经济活动之间的关联,使用基尼系数计算区域收入不平等。此外,我们还估算了印度各地区夜间灯光与社会经济发展之间的关系。我们使用了关于区域社会经济发展(社会进步指数)的新的可用数据,以及一个代表制度质量或治理的指数。我们的研究结果在社会经济发展指标的选择上具有稳健性,表明以夜间灯光衡量的区域不平等遵循库兹涅茨曲线模式。这意味着,从社会经济发展水平或制度质量较低的起点开始,随着区域社会经济因素或制度质量的提高,不平等程度会上升,而随着社会经济因素或制度质量的后续进步,区域不平等程度会下降。