Research On Producer Services Industries Aggregation And Its Influencing Factors Based On The Spatial Econometrics

Producer services industries aggregation has been becoming an important way topromote industries upgrading and enhance the core competitiveness of a city. Currentacademy researches on industry agglomeration, both domestic and overseas, aremainly concentrated on the manufacturing sectors, which relatively payed lessattention to the producer services industries sectors. Based on the spatial econometrics,the paper built a theoretical framework of the mechanic of producer servicesindustries from three dimensions of element, space and time. Meanwhile, it analyzedthe current situation of producer services industries aggregation in the Pearl RiverDelta region, and had an empirical study based on the spatial econometric methodsand the spatial panel data of the Pearl River Delta city from1999to2009. The paperis divided into six chapters. The first chapter is the part of introduction; the second isthe literature review and empirical research framework of the paper; the third is theanalysis of the current situation of the Pearl River Delta; the fourth describes somemethods used in the paper and index choices as well as the models of this article; thefifth is the empirical results and related analysis; the last is the corresponding policyrecommendations.The results show that:(1) The aggregation level of the producer servicesindustries in the Pearl River Delta region is still low with a significant slowly growthtrend, which the real estate industry has the highest aggregation level and the financialindustry is the lowest. It also finds that the higher of the economic development in aregion, the better of the producer services economic progress it has, such asGuangzhou, Shenzhen cities.(2) The spatial correlation of the aggregation of theproducer services industries is strong and significant. The links of geography,economic and transportation in a region have significant impact on the aggregation ofthe producer services industries. This shows that the upgrading of the aggregation ofproducer services industries in a city helps boosting the level of the aggregation ofproducer services industries in the other place, and this effect has a strong positive relationship with the material capital accumulated.(3) The level of innovation,knowledge overflow, city size have a positive and significant effect on theaggregation of producer services industries, while the information platformdevelopment and government size have a negative effect.(4)The aggregation of theproducer services industries has time dynamic characteristics. Innovation level, size ofa city and spatial correlation of a region have a greater and greater effect on theaggregation of the producer services industries in the Pearl Delta River. Economicintegration processes as well as municipal cities development help to raise the level ofthe aggregation of the producer services industries. GWR model with the time changemodels indicate that the clustering mechanism of producer services industries hasspatial and temporal heterogeneity and volatility.The innovation of the paper is that it firstly applied the spatial econometrics intothe study of the aggregation of the producer services industries, and studied themechanism of the aggregation from element, space and time dimensions. It may helpbroaden the perspective of relate researches and provide some empirical study supportfrom the Pearl River Delta region of China.