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纺织产业SCP分析及各地金融水平对纺织业发展影响的实证研究

Empirical research on SCP analysis of textile industry and impact of financial level on the textile industry development
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摘要 首先,选取了2004—2017年全国30个省的相关统计数据,利用结构-行为-绩效(SCP)范式对全国纺织行业市场进行分析,得出我国纺织产业属于垄断竞争市场,产业集中度较低,进入退出壁垒较低。此外,我国纺织企业在制造加工过程中只获得微薄利润,大部分比例的品牌和销售利润被国外企业赚走,且劳动生产率较低,企业兼并行为较少。其次,运用Stata统计软件对全国各省市每年的纺织业产值占总工业产值之比与金融相关率作回归分析,建立随机效应模型,结果显示,纺织业产值占工业总产值之比与金融相关率及其平方项之间存在长期协整关系,且金融相关率每增加1单位,将导致纺织业产值占工业总产值之比上涨0.002 291 1单位,可见,当地的金融水平对纺织产业发展有一定的影响。 First,this paper selects the relevant statistical data of 30 provinces across the country from 2004 to 2017,uses the structure-conduct-performance(SCP)model to analyze the national textile industry market,and concludes that China’s textile industry belongs to a monopolistic competition market,with low industrial concentration and low barriers to entry and exit.In addition,China’s textile enterprises only obtain meagre profits in the manufacturing and processing processes,most of the brand and sales profits are earned by foreign companies,labor productivity is low,and there are fewer corporate mergers.Then,use statistical software such as Stata to make regression analysis on the ratio of textile industry output value to total industrial output value and financial correlation rate in various provinces and cities across the country,the results of establishing a random effect model show that the ratio of textile industry output value to total industrial output value and financial correlation rate.There is a long-term co-integration relationship between its square terms,and an increase of 1 unit in the financial correlation rate will cause the textile industry output value to increase by 0.002 291 1 units as the ratio of the total industrial output value.It can be seen that the local financial level does have a certain degree of development on the textile industry.
作者 张溢萌 Zhang Yimeng(Tianjin Polytechnic University,Tianjin 300000,China)
机构地区 天津工业大学
出处 《纺织报告》 2020年第6期53-59,共7页
关键词 SCP 纺织产业 金融相关率 协整分析 structure-conduct-performance textile industry financial correlation rate cointegration analysis
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