探讨人均国内生产总值作为经济发展指标的局限性:一个跨国视角

IF 0.4 Q4 ECONOMICS
Radek Dědeček, Viktar Dudzich
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引用次数: 4

摘要

摘要在本文中,我们探讨了人均GDP在购买力平价中作为经济发展和福祉指标的弊端,并评估了削弱其代表生活水平能力的因素。首先,我们从理论上概述了可能破坏人均国内生产总值作为衡量福祉指标的适用性的问题,并对其他发展指标进行了辩论。随后,我们将人均国内生产总值与最著名的发展指标——人类发展指数——进行了比较,并计算了141个国家的这两个指标之间的偏差。为了实证评估GDP在衡量发展方面的潜在局限性,我们使用异质面板数据集和稳健的固定效应估计量,对一系列经济、社会和政治变量上的发展和GDP之间的计算偏差进行回归。结果表明,收入不平等程度和经济自由程度较高的国家的发展水平低于其人均国内生产总值。相反,影子经济的规模与人类发展指数与国内生产总值的偏差呈负相关。某些社会文化、地理和生态因素,如较高的生育率、寒冷的气候和自然资源的枯竭,在人均国内生产总值高于发展水平的国家中普遍存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the limitations of GDP per capita as an indicator of economic development: a cross-country perspective
Abstract In this paper, we explore the drawbacks of GDP per capita in purchasing power parity as an indicator of economic development and well-being and evaluate the factors which diminish its ability to represent the level of life. Firstly, we theoretically outline the issues that might be undermining the suitability of GDP per capita as a measure of well-being, and debate other development indicators. Subsequently, we confront GDP per capita with the most well-known development indicator – the Human Development Index HDI – and calculate the deviations between these two indicators for a panel of 141 countries. To empirically evaluate the potential limitations of GDP in measuring development, we regress the computed deviations between development and GDP on an array of economic, social, and political variables employing a heterogeneous panel dataset and robust fixed effects estimators. The results reveal that countries with higher income inequality and level of economic freedom are characterised by lower development than implied by their GDP per capita. Contrarily, the size of the shadow economy is negatively linked to the deviations of HDI from GDP. Certain sociocultural, geographic, and ecological factors, such as higher fertility rates, cold climate, and the depletion of natural resources, are prevalent among nations ranking higher in GDP per capita than in development.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
10
审稿时长
38 weeks
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