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Dynamic Patterns of Structural Change and Economic Growth during the High Growth Regime in India: A Panel Data Analysis

机译:印度高增长时期的结构变化和经济增长的动态模式:面板数据分析

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Using panel data collected from the CSO for thirty two states and UTs of India for the recent period of 2004-05 to 2013-14 at the constant 2004-05 prices, the present paper highlights the effect of structural change on economic growth. We examine these relationships in an augmented Chenery-Syrquin Model, and test whether the high income states, EAG (Empowered Action Group) States and high densely states have had any structural impact and what type of structural trends have been adopted by the economy in such a high growth period. Results of random effect model show that any increases in the shares of manufacturing sector and industrial sectors (mining and Quarrying, manufacturing and construction) have significant positive effect on economic growth (Income Coefficient), while the patterns of industrial sector has significant positive effects on population density (Size Coefficient). However, the coefficient of population density is insignificant yet positive for manufacturing orientation. These relationships suggest that most densely populated states can achieve economies of scale, resource endowments and scale of domestic demand easily and hence population density plays an important role in the patterns of industrial and manufacturing development. The time trend seems to have significant negative association with industrial orientation and dummy for high income states has significant positive association with service sector and significant negative association with agriculture and manufacturing sectors.
机译:使用2004-05到2013-14的最近一段时间(以2004-05不变价格)从印度的32个州和UT的CSO收集的面板数据,突出了结构性变化对经济增长的影响。我们在增强的Chenery-Syrquin模型中检查了这些关系,并检验了高收入国家,EAG(授权行动小组)国家和高密度国家是否具有任何结构性影响,以及经济在这种情况下采用了哪种类型的结构趋势高成长期。随机效应模型的结果表明,制造业和工业部门(采矿和采石业,制造业和建筑业)所占份额的任何增加都对经济增长(收入系数)产生显着的积极影响,而工业部门的模式对经济增长(对收入的影响)则具有显着的积极影响。人口密度(大小系数)。但是,人口密度系数微不足道,但对于制造方向却是积极的。这些关系表明,人口最稠密的国家可以轻松实现规模经济,资源end赋和内需规模,因此人口密度在工业和制造业发展模式中起着重要作用。时间趋势似乎与产业导向显着负相关,而高收入国家的假人与服务部门显着正相关,与农业和制造业显着负相关。

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