印度邦的核心基础设施和制造业活动:收入群体重要吗?

Rochna Arora, B. Kaur
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引用次数: 0

摘要

该研究以1991年至2017年期间印度17个邦的数据为基础,调查了基础设施与制造业增加值之间的关系,并在整体水平和隔离水平上研究了空间差异。截面相关性的初步试验表明,截面之间存在相关性,然后应用第二代试验程序。利用固定/随机效应模型估计基础设施对制造业活动绩效的空间差异影响。实证结果表明,基础设施指数对制造业绩效具有显著的正向影响,对印度各邦的影响值为0.20,对高收入邦的影响值为0.49。同样,基础设施的各个组成部分对制造业活动的影响也是不同的。在高收入州,道路基础设施对制造业绩效的影响是负面的,而对其他州则是积极的;在中等收入国家,电视密度的影响是正向的,而在低收入国家,电视密度的影响是负向的。Dumitrescu和Hurlin的因果检验显示了基础设施与制造业产出之间的双向因果关系。JEL代码:D02, E62, H54, L94, L96
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Core Infrastructure and Manufacturing Activity in the Indian States: Does the Income Group Matter?
Taking the data for 17 Indian states for the period running 1991–2017, the study investigates relationship between infrastructure and manufacturing value added at the overall as well as segregated levels to study the spatial differences. Preliminary tests of cross-section dependence point to the existence of dependence among the cross sections after which second-generation testing procedures are applied. Spatial differential impact of infrastructure on the performance of manufacturing activity is estimated using fixed/random effect modelling. The empirical results show that infrastructure index exerts positive and significant impact on the manufacturing performance with estimate of 0.20 for all states in India and 0.49 for high-income states. Similarly, individual components of infrastructure influence manufacturing activity differently. Road infrastructure is influencing manufacturing performance negatively in high-income states while it is positive for other states; teledensity exerts positive influence in case of middle-income states while the impact is negative in case of low-income states. Dumitrescu and Hurlin’s causality test shows bidirectional causality from infrastructure to manufacturing output. JEL Codes: D02, E62, H54, L94, L96
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