Structural changes and economic landscape of the Indian economy: 2000-2019

被引:6
|
作者
Huang, Yongming [1 ,2 ]
Haseeb, Mohammad [1 ,2 ]
Khan, Jamal [3 ,4 ]
Hossain, Md Emran [5 ]
机构
[1] Wuhan Univ, China Inst Dev Strategy & Planning, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Ctr Ind Econ, Wuhan 430072, Peoples R China
[3] Shandong Univ, Inst Int Studies, Weihai, Peoples R China
[4] Shandong Univ, Sch Northeast Asia Studies, Weihai, Peoples R China
[5] Bangladesh Agr Univ, Dept Agr Finance & Banking, Mymensingh 2202, Bangladesh
关键词
input-output model; linkage analysis; multiplier product matrix; structural change; causative matrix; GROWTH; CONVERGENCE;
D O I
10.1111/rode.12948
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
This study employs input-output analyze to determine the extent of structural changes in the Indian economy, as well as how economic sector linkages changed between 2000 and 2019, and identifies the sectors with profound linkages with other sectors. Furthermore, we use the causative matrix to examine the temporal changes in intersectoral interactions. The analyze shows that manufacturing sectors have stronger intersectoral linkages than sevice sectors, with resource-intensive and scale-intensive manufacturing sectors having the most profound linkages. Furthermore, the causative matrix analysis reveals that Indian sectors became more externalized following the global financial crises, while receiving less feedback from other sectors. The results suggest that intersectoral linkages should be taken into account when designing industrial policies, and that investment should be encouraged in India's key economic sectors.
引用
收藏
页码:395 / 422
页数:28
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