[关键词]
[摘要]
以重庆市为例,将制造业划分为3种类型共16个细分行业,基于2007-2015年间重庆市投入产出表及统计年鉴数据,以完全消耗系数表征制造业服务化水平,以制造业分行业总产值对数化数据作为产业转型升级衡量指标,对制造业产业结构、服务化水平进行描述性统计分析,并建立固定效应回归模型(FERM)对制造业产业转型升级与服务化水平及其他投入要素的关系进行计量分析。研究表明,重庆市制造业产业结构不尽合理,资本密集型制造业产业产出比重整体呈下降趋势,其对工业经济增长的贡献正逐步减弱;服务化对重庆市制造业转型升级总体上具有正向影响,在不同类型制造业间影响差异较大,同时细分行业制造业服务化水平对产业转型升级的影响存在正向和负向两种不同的作用趋势;服务化投入并非制造业转型升级的唯一决定因素,还需与资本投入、劳动投入及技术投入实现协同。
[Key word]
[Abstract]
Taking Chongqing as an example, the manufacturing industry is divided into three types and 16 sub-sectors. Based on the input-output table and statistical yearbook data of Chongqing from 2007 to 2015, the service level of manufacturing industry is represented by total consumption coefficient, and industrial transformation and upgrading are measured by digitized data of the gross output value of manufacturing sub-sectors. The descriptive statistical analysis of industrial structure and service level is carried out, and fixed effect regression model (FERM) is established to quantitatively analyze the relationship among the upgrading of manufacturing industry, service input and other input elements. These research show that the industrial structure of Chongqing"s manufacturing industry is unreasonable, the output of capital-intensive manufacturing industry shows downward trend, and its contribution to industrial economic growth is gradually weakening; service-oriented manufacturing industry has a positive impact on the overall upgrading of Chongqing"s manufacturing industry, and the impact is quite different among different types of manufacturing industries. At the same time, there are two different trends of positive and negative impacts of the level of service-oriented manufacturing industry on industrial upgrading. Service-oriented investment is not the only determinant of manufacturing upgrading, but also needs to coordinate with other inputs, such as capital, labor and technology.
[中图分类号]
F260
[基金项目]
国家社会科学“工业互联网背景下中国制造业企业服务化模式创新研究”(项目编号:18XGL005)