{"title":"1999年至2018年期间,各国的人类发展指数水平是否可持续?自举分位数回归方法的一个应用","authors":"Anju Goswami, Hiranmmoy Roy, Prashant Giri","doi":"10.1016/j.susoc.2021.06.001","DOIUrl":null,"url":null,"abstract":"<div><p>Potential growth and overall economic development across nations since 1990s till 2018 is functioning as a 'wake-up' call for researchers and policy makers to process for investigation the phenomenon of HDI convergence globally <em>via</em> two framework: <em>σ</em>- and unconditional <em>β</em>- convergence. A proper investigation of such knowledge is of utmost important for regulators of economies, suggesting whether the difference in HDI level across natons has narrowed, including the period of global recession (2007/09). The empirical evidence is analyzed from different methods that act in a complementary way: i) bootstrap quantile regression approach in static panel framework, which allows the assumption of nonlinearities, especially for those groups that have shared a common path in terms of economic development while estimating the convergence results. ii) pooled OLS model, which seek to examine the soundness of the evaluated convergence results and confirmed the validity of our core applied model. All methods revealed strong evidences of unconditional <em>β</em>- convergence for all HDI groups, reflecting all classified HDI groups had potential to increase their tendency toward convergence. This is mainly driven by both the slower forward mobility with the less developed nations and faster backward mobility with the more developed nations. The <em>σ</em>- convergence estimates provides further insights and suggests that the formation and comprising of multiple convergence HDI clusters is a salient feature of reduction in inequality and dispersion across medium and lower nations.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 127-138"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.06.001","citationCount":"6","resultStr":"{\"title\":\"Does HDIs level sustainable during 1999/2018 across cross-nations? 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The empirical evidence is analyzed from different methods that act in a complementary way: i) bootstrap quantile regression approach in static panel framework, which allows the assumption of nonlinearities, especially for those groups that have shared a common path in terms of economic development while estimating the convergence results. ii) pooled OLS model, which seek to examine the soundness of the evaluated convergence results and confirmed the validity of our core applied model. All methods revealed strong evidences of unconditional <em>β</em>- convergence for all HDI groups, reflecting all classified HDI groups had potential to increase their tendency toward convergence. This is mainly driven by both the slower forward mobility with the less developed nations and faster backward mobility with the more developed nations. The <em>σ</em>- convergence estimates provides further insights and suggests that the formation and comprising of multiple convergence HDI clusters is a salient feature of reduction in inequality and dispersion across medium and lower nations.</p></div>\",\"PeriodicalId\":101201,\"journal\":{\"name\":\"Sustainable Operations and Computers\",\"volume\":\"2 \",\"pages\":\"Pages 127-138\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.susoc.2021.06.001\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Operations and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666412721000210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Operations and Computers","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666412721000210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
从20世纪90年代到2018年,各国的潜在增长和整体经济发展为研究人员和政策制定者敲响了“警钟”,要求他们通过两个框架(σ收敛和无条件β收敛)对全球HDI趋同现象进行调查。对这些知识进行适当的调查对于经济体的监管者来说是至关重要的,这表明各国之间的人类发展指数水平差异是否已经缩小,包括全球经济衰退时期(2007/09)。从不同的方法中分析了经验证据,这些方法以互补的方式起作用:i)静态面板框架中的自举分位数回归方法,该方法允许假设非线性,特别是对于那些在经济发展方面共享共同路径的群体,同时估计收敛结果。ii) pooled OLS模型,旨在检验评估的收敛结果的稳健性,并确认我们的核心应用模型的有效性。结果表明,所有HDI组均存在无条件的β-收敛性,表明所有HDI分类组都有可能增加其收敛倾向。这主要是由于欠发达国家的前进流动性较慢,而较发达国家的向后流动性较快。σ-收敛估计提供了进一步的见解,并表明多个收敛HDI集群的形成和组成是中低等国家之间不平等和分散减少的一个显著特征。
Does HDIs level sustainable during 1999/2018 across cross-nations? An application of bootstrap quantile regression approach
Potential growth and overall economic development across nations since 1990s till 2018 is functioning as a 'wake-up' call for researchers and policy makers to process for investigation the phenomenon of HDI convergence globally via two framework: σ- and unconditional β- convergence. A proper investigation of such knowledge is of utmost important for regulators of economies, suggesting whether the difference in HDI level across natons has narrowed, including the period of global recession (2007/09). The empirical evidence is analyzed from different methods that act in a complementary way: i) bootstrap quantile regression approach in static panel framework, which allows the assumption of nonlinearities, especially for those groups that have shared a common path in terms of economic development while estimating the convergence results. ii) pooled OLS model, which seek to examine the soundness of the evaluated convergence results and confirmed the validity of our core applied model. All methods revealed strong evidences of unconditional β- convergence for all HDI groups, reflecting all classified HDI groups had potential to increase their tendency toward convergence. This is mainly driven by both the slower forward mobility with the less developed nations and faster backward mobility with the more developed nations. The σ- convergence estimates provides further insights and suggests that the formation and comprising of multiple convergence HDI clusters is a salient feature of reduction in inequality and dispersion across medium and lower nations.