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本文论述了我国传统区域工业结构不合理现象的宏观-微观经济机制。借鉴区域工业结构演化规律,认为工业化初期,区域具有发展资源密集和劳动密集产业的优势;工业化中期,区域具有发展资本密集产业的优势;后期,区域具有发展技术密集产业的优势。各区域根据工业化不同阶段(或不同经济发展水平)建立不同层次的工业结构,同一工业化阶段(或相同经济发展水平)的区域,在同一层次工业结构基础上,根据各自自然资源和自然条件的差异,选择不同的主导产业,达样就会形成层次分明、纵横交错的区域工业结构网络体系。为了深化以上一般理论问题,作者将云南作为一个案例进行了突证研究。作者认为目前云南具有发展以烟、糖、茶为主的食品工业优势,现状工业结构极不合理,超越了经济发展水平,区域经济优势没有得到充分发挥。最后作者采用多目标线性规划方法定量地研究了云南工业结构合理化问题,其结果与定性研究相吻合。
This article discusses the macro-microeconomic mechanism of irrational industrial structure in China’s traditional regions. Learning from the law of regional industrial structure evolution, we believe that in the early stage of industrialization, the region has the advantage of developing resource-intensive and labor-intensive industries. In the middle stage of industrialization, the region has the advantage of developing capital-intensive industries. In the latter part, the region has the advantage of developing technology-intensive industries. In different regions (or different levels of economic development), each region establishes different levels of industrial structure, and in the same industrialization stage (or the same level of economic development), on the basis of the same level of industrial structure, according to the differences of their respective natural resources and natural conditions , Choose a different leading industries, up to sample will form a structured, criss-cross regional industrial structure network system. In order to deepen the above general theoretical problems, the author conducted a surprise research on Yunnan as a case. The author believes that at present, Yunnan has the advantage of developing the food industry mainly of tobacco, sugar and tea. The current industrial structure is extremely unreasonable, surpassing the level of economic development and the advantages of regional economy have not been brought into full play. Finally, the author uses multi-objective linear programming method to quantitatively study the rationalization of industrial structure in Yunnan. The result is consistent with the qualitative research.