Accounting Economic Growth Differential of Indian States

J. Sinha
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Abstract

This paper uses a combination of Growth Accounting Analysis and Regression Analysis to examine the economic growth experience of twelve major Indian States – six high-income and industrially developed; and six low-income and industrially underdeveloped, over the period 2000-21, through the decomposition of the total factor productivity in major sectors of the economy. The performance of the Low Income States has been perceptibly superior to that of the High Income States. All the sectors in each of the two categories of states have undergone a temporal deceleration in total factor productivity growth, thereby pointing toward the ineffectiveness of economic reform measures to induce progress in the states. However, in the overall Indian economy, various sectors (except Secondary and Tertiary-2) experienced productivity improvement over time. Further, total factor productivity contributed the most to output growth during the first decade (2000-01 to 2010-11), while labor acted as a prime mover during the second decade (2011-12 to 2020-21). The total factor productivity growth acted as the major source of economic growth in the aggregated Indian economy and signifies that although liberalization policies have shown desirable results at the aggregated level, there has been a considerable variation in the speed and extent of implementation of the reform measures across the states. Thus, for the states to surge ahead, it is imperative to address regional problems to enhance total factor productivity.
印度各邦经济增长差异的核算
本文采用增长会计分析和回归分析相结合的方法,考察了印度十二个主要邦的经济增长经验——六个高收入和工业发达邦;2000-21年期间,通过分解主要经济部门的全要素生产率,有6个低收入和工业欠发达国家。低收入国家的表现明显优于高收入国家。这两类州中的每一类州的所有部门都经历了全要素生产率增长的暂时减速,从而表明促进各州进步的经济改革措施是无效的。然而,在整个印度经济中,随着时间的推移,各个部门(第二和第三产业除外)的生产力都有所提高。此外,在第一个十年(2000-01年至2010-11年),全要素生产率对产出增长的贡献最大,而在第二个十年间(2011-12年至2020-21年),劳动力是主要推动者。全要素生产率增长是印度总体经济增长的主要来源,这表明尽管自由化政策在总体层面上显示出了令人满意的结果,但各州实施改革措施的速度和程度存在很大差异。因此,各州要想取得领先,就必须解决地区问题,以提高全要素生产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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