Evaluation Of Efficiency Of China’s Design And Survey Indurstry Based On Malmquist Index And Improved Entire-array-polygon Method

The survey and design industry, as a knowledge-intensive andtechnology-intensive producer service industry and a leading industry for theformation of the fixed assets, plays a very important role in the development of thenational economy. With the deepening of reform in the field of investment in China,the survey and design industry has been gaining prosperity and development, bothfrom industry scale and industry concentration, and the industry’s overall efficiencyhas been greatly improved. However, the development of the survey and designindustry in China is uneven among provinces. The efficiency of the development ofthe industry is still very low, and the concentration of the industry is still not high.The industry’s development relies much on the expansion of the scale of investment.Compared to Europe, the United States and other developed countries, there has beena long way to catch up with the overall core competitiveness of those countries forChina. Therefore, there is an urgent need to conduct in-depth analysis of theenvironment for the development of the survey and design industry to identify thefactors restricting development efficiency as well as enhance the overallcompetitiveness study, in the future development of the industry.The productivity analysis, Malmquist index theory for total factor productivity,parametric statistical method-Stochastic Frontier Analysis, Factor Analysis, full–array-polygon method, combined with other qualitative analysis and quantitativecalculation, were used to carry out an in-depth study and predict the relationshipbetween economic development and environmental quality survey and designindustry. The following results were obtained:First, the macro-economic environment for the development of the survey anddesign industry, the domestic investment environment and the market competitionwere analyzed. Following the method of SCP model which was often used forindustry analysis by traditional scholars of industrial economics, the industryconcentration from year2006to year2011of survey and design industry in Chinawas calculated, and was compared with the concentration of other industries in chinaand American’s survey and design industry.Thus the structure of the market of survey and design industry in China was deduced and the factors that decide the marketstructure of indurstry including: concetration, entry and exit barriers, productdifferentiation, the market price elasticity of demand as well as market demand wereanalyzed respectively. Porter’s five competitive forces model was used to analyze themarket competition of survey and design industry, and advice on the policy forindustry development was recommended.Secondly, based on the traditional input-output efficiency evaluation theory,according to the characteristics of the survey and design industry, the input and outputelements system for the efficiency evaluation system was established. And the paneldata from2006-2011of input-output of engineering survey and design industry in31provinces of China were analyzed by Malmquist-DEA approach. The results showedthat: during the period, there was a spatial difference on the productivity efficiencyamong31provinces of China. The TFP fluctuated with the country’s economicdevelopment and policy adjustments by time. To improve the TFP of engineeringsurvey and design industry, more importantly, efforts to support technologicalprogress and pending and pure efficiency should be made in addition to improvementof industry scale efficiency.At the same time, the SFA model which covers the considering of inefficiencyfactors that influence the technical efficiency, including market capacity, professionallevel, marketing level was applied to conduct a more in-depth and comprehensivestudy on the efficiency of the survey and design industry. The laws about thedevelopment of efficiency of the survey and design industry were explored by a moreexclusive analysis using The Battese and Coelli (1995) Specification.Finally, to establish Chinese regional survey and design industry corecompetitiveness evaluation index system, the factor analysis (FA) method was used.And an improved full array polygon approach was applied to empirical analysis. TheCopula based prediction method was used to predict the efficiency of variousdevelopment indicators in2012of provincial survey and design industry.