【作者】 陈亮；

【导师】 巨能久； 陈刚；

【作者基本信息】 上海交通大学 ， 工商管理（MBA）（专业学位）， 2017， 硕士

【摘要】 在全球制造业变革和我国制造成本不断上升的背景下,中国政府提出加快我国制造业智能化转型,促进工业化和信息化深度融合。作为政策支持的新兴产业,我国智能制造产业的成长性现状成为值得研究的问题,对这一问题的研究有助于更有针对性地提供产业发展政策支持。考虑到上市公司的发展相对成熟、稳定、富有代表性,本文选择我国智能制造产业上市公司作为成长性评价研究的对象。本文首先介绍了智能制造的定义、国内外产业发展现状、市场规模与构成,并根据主营业务将我国智能制造业上市公司细分为十大业务领域。接着,结合企业成长性基础理论和产业自身特点建立成长性评价指标体系和因子分析模型。一级指标包含财务类指标和复合类指标两种,二级指标包含盈利能力指标、企业规模指标、扩张能力指标、偿债能力指标、营运能力指标和创新能力指标六种,三级指标共21种,由具体的财务和非财务指标共同构成。最后,将依据主营业务挑选出的128家A股上市公司做为研究样本,以2013年至2015年为主要时间范围,采用SPSS软件对样本数据进行因子分析,得出成长性总体得分和六个主因子得分,从总体表现、分项能力、所属区域和细分领域四大角度进行了全面综合的评价分析。根据研究结果,发现我国智能制造产业上市公司绝大部分处于中低成长水平,企业综合成长能力尚未出现明显分化,产业内竞争依然激烈;产业内盈利能力和创新能力两极分化、强弱分明,成为制约企业成长性的重要因素;产业内扩张能力、偿债能力和营运能力普遍偏弱;高成长企业成长路径鲜明,盈利能力和扩张能力是驱动高成长的最主要因素;产业集群现象明显,表现优异的上市公司多分布于北京、长山角和珠三角地区且具有不同发展特色;细分领域间成长性不均衡且差异明显。基于研究结论,提出相应建议并指出了不足与未来改进的方向。更多还原

【Abstract】 Along with the revolution of global manufacturing industry and the increasing manufacturing cost,the government of China proposed to accelerate the transformation towards intelligence and promote the deep fusion of industrialization and IT application.As intelligent manufacturing industry is an emerging industry strongly supported by the country,the growth status of this industry in China becomes a topic worthy of study,study on this topic will assist in providing well-directed policy support for industry development.Considering the listed companies are relatively mature,stable,and representative,this paper selects listed companies from intelligent manufacturing industry in China as study objects.Firstly,this paper introduces the definition of intelligent manufacturing,status quo of industry development at home and abroad,market scale and structure,and subdivides listed companies of intelligent manufacturing in our country into ten major business areas according to their main business.Then,based on the enterprise growth theory and industry characteristics,this paper establishes growth evaluation system and factor analysis model.The two primary indicators contains financial index and composite index,the six secondary indicators include profitability,enterprise scale,expansion ability,debt paying ability,operation ability and innovation ability index,the third level is formed by 21 different specific financial and non-financial indicators.Finally,using 128 A-share listed companies selected by main business,ranging from year 2013 to 2015,executed factor analysis by SPSS software based on the sample data and acquired overall growth score and six main factor scores.After that,carried on the comprehensive analysis of the evaluation from four angles,including the overall performance,subentry ability,geographic position and niche area.According to the research results,this paper found most listed companies of intelligent manufacturing industry in China belong to the middle to low growth level,enterprise growth ability has not been significantly differentiated,competitions within industry remain fierce;Profitability and innovation ability in industry show polarization effect,demonstrate extremely strong or weak,become the important factor of enterprise growth;Expansion ability,debt paying ability and operation ability is generally weak In industry;High-growth enterprises’ growth paths are distinctive,profit ability and expanding ability are main factors of driving high-growth;Industry cluster phenomenon is obvious,most outstanding listed companies locate throughout Beijing,Yangtze River Delta and the Pearl River Delta regions and have different characteristics;Growth level is not balanced among different niches.Based on the research conclusion,put forward the corresponding Suggestions and point out the deficiencies and the direction of future improvement.更多还原