衡量假设提取法对印度运输联系的影响

Simrit Kaur, Vaibhav Puri
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引用次数: 0

摘要

交通基础设施对于部门增长和经济进步至关重要。为了衡量铁路和其他运输部门的贡献减少对印度其他部门的影响,我们使用了基于假设提取(HE)的方法来分析这种变化对不同部门结果的影响。我们将 1993-2014 年间的五个投入产出交易表(IOTT)汇总为 22 个部门。在方法上,确定了运输部门的部门配对相关性和部门分组。使用铁路和其他运输部门贡献的诱导剔除来捕捉部门依赖关系。进一步确定了 "关键 "部门构成的变化模式。制造业、采矿和采石业、建筑业、仓储和电力业似乎与运输业有明显的相关性。开采对制造业造成了巨大的产出损失(约 60%)。自我采掘 "导致运输部门的产出损失不断下降,而电力、仓储和储存部门在采掘后经济中仍然是 "关键部门"。我们的分析得出的一个重要结论是,在未来的交通基础设施投资中,必须考虑其他部门之间的动态依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gauging Effects of Hypothetical Extraction Method on Transport Linkages in India
Transport infrastructure is imperative for sectoral growth and economic progress. To gauge the impact of reduced contributions by the Railway and Other Transport sectors on other sectors in India, we use the Hypothetical Extraction (HE) based methodology to analyse the impact of such changes on outcomes of different sectors. Five Input-Output Transaction Tables (IOTT), between the years 1993-2014, are aggregated into 22 sectors. Methodologically, sector pair-wise correlations and sectoral groupings are identified in the transport sector. Induced elimination of Railway and Other Transport sector contributions are used to capture sectoral dependencies. Changing patterns in ‘Key’ sector compositions are further identified. Manufacturing, Mining and Quarrying, Construction, Storage and Warehousing and Electricity appear significantly correlated with Transport. Extraction causes sizeable output loss (around 60 perent) for the Manufacturing sector. ‘Self-extraction’ results in declining loss of output for transport sectors, whereas, Electricity and Storage and Warehousing remain ‘Key sectors’ in the post-extraction economy. An important implication emerging from our analysis is that dynamic relational dependencies across other sectors must be considered for future investments in transport infrastructure.
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