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Structural Convergence Among ASEAN Economies

机译:东盟经济体之间的结构趋同

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A successful economic integration is meant to assist the backward member states to catch-up with the more advanced members in terms of development. As a result, the backward member states have their economy shifted from an agriculture-dominant economy towards industrial (with higherlabour productivity) and then the service-dominant economy in order to maintain sustainability. With the catching-up in terms of the dominance of production, their economic structure shall become more similar with the more advanced members over time and hence experiencing structural convergence.Therefore, income convergence is expected when these backward member states have their income per capita increased alongside with the structural convergence. Evidences of income convergence within ASEAN are lacking and not much of the studies focused on the convergence in terms of the developmentstages within ASEAN. Since the dominance of production is always being used to refer to stage of development, therefore this paper would like to investigate on the production structure among ASEAN member states using the Krugman Index. Our results revealed an increasing structural convergencewithin ASEAN. The newer members of ASEAN namely Cambodia, Laos, Myanmar and Viet Nam (i.e., CLMV) had been catching-up with the more advanced members in their development. Though, the mining and utilities sector turned to be the sector that impedes further structural convergence for all. Onthe other hand, big share of agriculture sector among the CLMV countries become their main factor to slow down the structural convergence.
机译:成功的经济一体化是为了帮助落后会员国在发展方面与更先进的成员追赶。因此,落后会员国的经济从农业主导经济转向工业(具有更高的生产率),然后服务主导经济以维持可持续性。随着生产的主导地位,他们的经济结构随着时间的推移和更先进的成员而变得更加类似,因此经历了结构趋同。因此,当这些后向会员国每人的收入增加时,预计收益会聚是预期的与结构趋同一起。东盟内的收入融合的证据缺乏,而且没有大部分的研究专注于东盟内部发展局的趋同。由于生产的主导地位始终被用于提及开发阶段,因此本文希望使用克鲁格曼指数调查东盟成员国的生产结构。我们的结果揭示了ASEAN的结构性趋同。东盟即柬埔寨,老挝,缅甸和越南(即,CLMV)的较新成员已经追赶其发展中更先进的成员。虽然,采矿和公用事业部门转向是阻碍所有人的进一步结构趋同的部门。另一方面,CLMV国家之间的农业部门大量份额成为他们减缓结构趋同的主要因素。

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