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广东省专业镇中小微企业公共服务平台绩效评价研究

发布时间:2018-06-12 10:20

  本文选题:公共服务平台 + 绩效评价 ; 参考:《广东工业大学》2017年硕士论文


【摘要】:专业镇是20世纪80年代末90年代初在广东发展起来的一种集群经济模式,它以镇域为基本单位,以传统产业为主导,技术程度不高,有专业的市场分工,能形成同类及上下游产品的产业链。在漫长的历史进程中,专业镇的经营模式逐渐由小作坊转变为具有正式组织制度的中小微企业,日益成为广东省经济发展的主力军。其中,广东省中小微企业公共服务平台在专业镇经济发展的过程中扮演着相当重要的角色,对中小微企业蓬勃发展功不可没。2012年广东省出台了《关于加快专业镇中小微企业服务平台建设的意见》,文中将广东省专业镇中小微企业公共服务平台划分为九大类,提倡建立多元的公共服务平台,并陆续发布各类平台申报与专项资金管理指南。而在2013年及之后,省政府部门开始鼓励创建协同创新平台,其服务内容与服务对象较之前均有所延伸,可称之为中小微企业公共服务平台的升级版。因此,本文的研究对象没有脱离政策发展动向,对其进行绩效评价,依然具有推广意义。服务平台在政策的引导下数量激增,但质量却良莠不齐,为提高平台的资源配置效率,规范平台的服务管理流程,有必要制定统一的考核标准。服务平台类型众多,如果单独设计不仅难度很大,而且不具备比较性。本文将九大类服务平台归为三大类(纯公益型、半公益型和非公益型),基于政府视角设计出了一套综合指标体系,对不同类别的服务平台可以适当增减异质性指标。这套指标体系以资源配置、管理水平、社会效益和经济效益作为一级指标。本文依据投入产出理论,运用随机前沿法(SFA)和共同前沿法(Metafrontier)进行绩效评价。鉴于两种方法在前人的研究中,多用来研究企业、行业及区域技术效率问题,其投入产出指标的个数不多且都是定量指标,所得数值为绝对值,而不是相对值。因此,本文以初拟指标体系中的定量指标结合相关资料中的其他定量指标,通过绩效评价与指标体系优化,确定最终的评价体系。本文最大的目标是设计出一套针对于中小微企业公共服务平台的绩效评价指标体系,模拟数据、绩效评价与指标优选等过程都是为了验证指标体系的可行性。应指出的是,服务平台的数据是依据样本点随机模拟生成,在现实层面并没有一一对应的实体,因此绩效评价的结果只能作为辅助分析,不能为某个平台解决针对性问题。后面的启示与政策建议主要围绕整个研究过程及前期现状层面的内容进行探讨。结果表明,平台技术水平的高低为半公益型纯公益型非公益型;虽然平均水平有差异,但在每类平台中既有技术效率接近于1,又有技术效率接近于0的平台;虽然筛选过程很严格,但指标体系的最终结果还是比较合理的。因此,运用这套绩效评价体系是可行的。
[Abstract]:The specialized town is a kind of cluster economy pattern developed in Guangdong in the late 1980s and early 1990s. It is based on the town area, dominated by the traditional industry, with low technical level and specialized market division. Can form similar and upstream and downstream products of the industrial chain. In the long process of history, the management mode of professional town has gradually changed from small workshop to small and micro enterprise with formal organization system, and has increasingly become the main force of economic development in Guangdong Province. Among them, the public service platform for small and medium-sized enterprises in Guangdong Province plays a very important role in the process of the economic development of specialized towns. In 2012, Guangdong Province issued opinions on speeding up the construction of service platforms for small and medium-sized enterprises in specialized towns. In this paper, the public service platforms of small and medium-sized enterprises in specialized towns in Guangdong Province were divided into nine categories. Advocate the establishment of multiple public service platforms, and publish various platform declaration and special fund management guidelines one after another. In 2013 and later, the provincial government began to encourage the creation of collaborative innovation platform, its service content and service objects have been extended, can be called small and medium-sized enterprise public service platform upgrade. Therefore, the research object of this paper is not divorced from the trend of policy development, and it is still of great significance to evaluate its performance. The quantity of service platform increases rapidly under the guidance of policy, but the quality is not uniform. In order to improve the efficiency of resource allocation and standardize the service management process of platform, it is necessary to establish a unified assessment standard. There are many types of service platforms, if the design alone is not only very difficult, and do not have a comparative nature. In this paper, nine service platforms are classified into three categories (pure public welfare, semi-public welfare and non-public welfare). Based on the government perspective, a set of comprehensive index system is designed, which can appropriately increase or decrease the heterogeneity index for different service platforms. This index system takes resource allocation, management level, social benefit and economic benefit as the primary index. Based on the input-output theory, this paper uses the stochastic frontier method (SFA) and the common frontier method (Metafrontier) to evaluate the performance. In view of the fact that the two methods are mostly used to study the technical efficiency of enterprises, industries and regions in previous studies, the number of input-output indexes is not many and they are both quantitative ones, and the obtained values are absolute values, not relative values. Therefore, the quantitative index in the initial index system is combined with other quantitative indicators in the related data, and the final evaluation system is determined through the performance evaluation and the optimization of the index system. The biggest goal of this paper is to design a performance evaluation index system for the public service platform of small and medium-sized enterprises. The process of simulation data performance evaluation and index selection are all to verify the feasibility of the index system. It should be pointed out that the data of the service platform is generated by random simulation on the basis of sample points, and there is no one-to-one entity in reality, so the results of performance evaluation can only be used as auxiliary analysis and can not solve the targeted problems for a platform. The enlightenment and policy recommendations mainly focus on the whole research process and the content of the current situation. The results show that the technical level of the platform is semi-public welfare pure public welfare non-public welfare, although the average level is different, in each kind of platform, the technical efficiency is close to 1, and the technical efficiency is close to zero. Although the screening process is very strict, the final results of the indicator system are reasonable. Therefore, it is feasible to apply this performance evaluation system.
【学位授予单位】:广东工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F276.3

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