中国人口资源与环境
中國人口資源與環境
중국인구자원여배경
China Polulation.Resources and Environment
2010年
2期
139~143
,共null页
资源再生产业 产业集群 产业集中度 区位商
資源再生產業 產業集群 產業集中度 區位商
자원재생산업 산업집군 산업집중도 구위상
resource recycling industry; industrial cluster; concentration ratio; location quotient
资源再生产业是解决资源危机、能源短缺和环境污染等问题的有效途径。近年来，我国资源再生产业发展迅速，在一些区域产业集群特征凸显。因此，本文采用产业集中度和区位商法，对我国资源再生产业在省域层面的集群情况进行定量分析。结果表明：我国资源再生产业集群特征非常明显，2007年产业集中度CR4达到71.15％，广东、浙江和湖南三省已形成资源再生产业集群，2007年三省的区位商分别达到1.781、1.987、8.491；同时还发现重庆、湖北、天津、江苏、上海也初具集群雏形，为从产业集群角度探索我国资源再生产业发展模式提供依据。此外，在对广东、浙江和湖南三省产业集群进行深入分析和验证时还发现：广东、浙江模式与湖南模式具有明显不同，前者是再生资源禀赋和地方需求主导模式，而后者则是交易成本、区位交通优势和政府扶持共同作用的结果。
資源再生產業是解決資源危機、能源短缺和環境汙染等問題的有效途徑。近年來，我國資源再生產業髮展迅速，在一些區域產業集群特徵凸顯。因此，本文採用產業集中度和區位商法，對我國資源再生產業在省域層麵的集群情況進行定量分析。結果錶明：我國資源再生產業集群特徵非常明顯，2007年產業集中度CR4達到71.15％，廣東、浙江和湖南三省已形成資源再生產業集群，2007年三省的區位商分彆達到1.781、1.987、8.491；同時還髮現重慶、湖北、天津、江囌、上海也初具集群雛形，為從產業集群角度探索我國資源再生產業髮展模式提供依據。此外，在對廣東、浙江和湖南三省產業集群進行深入分析和驗證時還髮現：廣東、浙江模式與湖南模式具有明顯不同，前者是再生資源稟賦和地方需求主導模式，而後者則是交易成本、區位交通優勢和政府扶持共同作用的結果。
자원재생산업시해결자원위궤、능원단결화배경오염등문제적유효도경。근년래，아국자원재생산업발전신속，재일사구역산업집군특정철현。인차，본문채용산업집중도화구위상법，대아국자원재생산업재성역층면적집군정황진행정량분석。결과표명：아국자원재생산업집군특정비상명현，2007년산업집중도CR4체도71.15％，엄동、절강화호남삼성이형성자원재생산업집군，2007년삼성적구위상분별체도1.781、1.987、8.491；동시환발현중경、호북、천진、강소、상해야초구집군추형，위종산업집군각도탐색아국자원재생산업발전모식제공의거。차외，재대엄동、절강화호남삼성산업집군진행심입분석화험증시환발현：엄동、절강모식여호남모식구유명현불동，전자시재생자원품부화지방수구주도모식，이후자칙시교역성본、구위교통우세화정부부지공동작용적결과。
Resource recycling industry is an effective way to solve problems such as resources depletion, energy shortage and environmental pollution. With the rapid development of resoure recycling industry in recent years, industrial cluster have emerged in some areas. In this article, quantitative analysis of the industrial cluster at provincial level uses concentration ratio and location quotient. The results indicate that China＇s resource recycling industry had characteristic of clusters and clustar degree CR4 of 2007 was resource 71.15%, recycling industrial clusters have come into being in Guangdong, Zhejiang and Hunan province＇ s and their location quotient values in 2007 were 1.781,1.987, 8.491 respectively. Meanwhile, some provinces have embryonic chLster features such as Chongqing, Hubei, Tianjin, Jiangsu, and Shanghai. These resource recycling industrial cluster cases in procinces above can be helpful for exploring the development model of resource recycling industry from the industrial clusters perspective. Furthermore, during the course of further analysis and verification industrial cluster of Guangdong, Zhejiang and Hunan provinces. We find that Guangdong cluster mode and Zhejiang cluster mode is different with Hunan cluster mode. The former two modes are dominated by recycle resource endowment and local demand, while the latter model results from the interaction effect of transaction cost, regional transportation advantage and government support.
