著者

道上 真有 田端 理一 中村 勝之

出版者

一般財団法人 住総研

雑誌

住宅総合研究財団研究論文集 (ISSN:18802702)

巻号頁・発行日

vol.36, pp.259-268, 2010

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本研究は,ロシア政府が2006年から実施した住宅政策の効果に関する中間的評価を行っている。ここでは,住宅政策が国民の住宅購入可能性(affordability)にどのような影響を与えたのかという問題を中心に,ロシア連邦と3つの主要都市,およびモスクワ市の9行政区におけるaffordabilityを計測した。その主要な結果は,2007年のロシアで住宅ローンを利用して住宅を購入できる人口割合は住宅政策実施の前後で2割程度とあまり変化しなかった。また,住宅ローン融資目標額や住宅弱者に対する補助受給世帯数も目標値を下回っていた。他方,モスクワ市行政区におけるaffordability値の計測,およびaffordabilityを規定する要素と人口流入との相関を推計した結果,行政区によっては価格高騰地域でも住宅政策実施後にaffordabilityの値が向上し,さらにドーナツ化現象の影響が加わっている可能性が示唆された。

著者

中村 勝之 野尻 亘

出版者

桃山学院大学総合研究所

雑誌

桃山学院大学経済経営論集 (ISSN:02869721)

巻号頁・発行日

vol.61, no.2, pp.183-211, 2019-10

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Wide-ranging discussions have taken place, in fields including bothregulation theory and economic geography, concerning the impact of Justin-Time(hereafter JIT)production on industrial location.In particular, the series of analyses by McCann, based on partialequilibrium theory, offer an important theoretical approach for the locationmodel in relation to the adoption of JIT. To the concepts of transportationcosts and distance found in conventional location theory models, McCannadded the concepts of commodity procurement and inventory control costs,to create a logistical cost model. His approach revealed that differences inthe optimal size of transportation lots for the adoption of JIT clearly affectboth location clustering and dispersal.This paper takes up Harrigan and Venables(2006)as a location modelrelated to JIT in spatial economics based on a general equilibrium model.Through a close reading of their analysis, we seek to clarify the manner inwhich their analysis approached the constituent causes of industrialclustering following the adoption of JIT.Our reading revealed that, according to Harrigan and Venables(2006),the following points contribute to the clustering of parts suppliers followingthe adoption of JIT.First, despite high transportation costs, clustering of parts suppliers didnot occur since parts could be punctually delivered when the product wasin its final assembly stage. In other words, the clustering of parts suppliersin the vicinity of the production point occurs only under uncertain deliveryconditions.Second, agglomeration of parts suppliers occurs when there is a risk ofdeliveries being delayed thanks to their having to be procured fromelsewhere, to prevent increases in production costs and consequent declinein demand for the product.We conclude that, if effective communication systems can be employedto cope with sudden changes in order quantity and to eliminate theproblems of defective parts and excess inventory, transactions involvingJIT will be possible even with parts suppliers located far from theproduction point.