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Download Article (PDF) Advances in Economics, Business and Management Research, volume 85 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019) Study on Economic Spillover Effect and Spatial Differentiation of Logistics Industry Agglomeration in Xinjiang Huijun Huang Han Wang School of Economic and Management School of Economic and Management Nanjing University of Science and Technology Nanjing University of Science and Technology Nanjing, China Nanjing, China Abstract—Based on the location entropy index and industry cluster has no significant effect on the regional exploratory data analysis method, this paper studies the economic growth, and that it is necessary to seize the good economic spillover effect and spatial differentiation of Xinjiang opportunity of reform, accelerate the transformation of logistics industry agglomeration, and empirically studies the logistics industry cluster to regional economic growth and panel data of 14 prefectures in Xinjiang from 2007 to 2016, promote the agglomeration of Logistics Industry. There is a drawing the following conclusions: first, the agglomeration of lot of literature about using location entropy index to the whole logistics industry in Xinjiang has no significant measure the degree of agglomeration. Fan. X, F and Kang. X, spillover effect on economic growth, and there are great Q [5] use location entropy and spatial Gini coefficient to differences among regions. Second, most of the regional measure the industrial agglomeration and find out the logistics industry has a certain spatial agglomeration and influencing factors at the same time. Gong. X, S [6] based on spatial correlation, but the economic overflow effect of the logistics industry agglomeration is small, that is the driving the location entropy make a study on the provinces of the effect of high-value area on low-value area is not prominent. Silk Road Economic Belt, concluded that the logistics industry agglomeration has a significant economic spillover Keywords—logistics industry cluster; economic spillover effect on the regional economic growth of the Silk Road effect; Cobb Douglas production function; spatial auto- Economic Belt, there is a great regional difference in the correlation economic spillover effect of the logistics industry agglomeration. Dong. Y [7] introduces five spillover effects I. INTRODUCTION measurement models: cost function model, macro-economic model, input-output model etc. The research methods of Industrial agglomeration refers to a centralized state in logistics spatial layout are mostly quantitative methods, such geographical position composed of leading industries and as exploratory spatial data analysis, principal component related pillar industries, including upriver and downriver analysis, and so on [8] [9]. In addition to the four- enterprises of leading industries and some institutions within dimensional analysis framework of influencing factors of a certain space [1]. Because of its extensive technology logistics agglomeration, Zhong. C, Z [10] constructs a spatial diffusion and knowledge spillover effect, industrial econometric model of influencing factors of logistic industry agglomeration has become an important way to promote agglomeration by introducing spatial correlation. The result regional economic growth and has attracted extensive shows that there is a strong spatial auto-correlation and research from many scholars. Logistics industry started late spatial heterogeneity in the agglomeration degree of regional in our country, but with its important strategic position in the logistics industry. global supply chain, logistics has gradually become an important driving force of economic growth. Therefore, it is Since Marshall put forward industrial agglomeration in of practical significance to study the influence of logistics the 19th century, many scholars have studied industrial industry agglomeration on regional economic growth. agglomeration from different angles and the research has reached the mature stage. However, the research on logistics A number of researchers [2] found that industrial industry agglomeration is still in the initial stage, most of agglomeration is common in developing countries. Trends them are the measurement of the degree of aggregation, Business Research Ltd [3] demonstrated the effect of which is not combined with the spatial analysis. There is logistics industrial agglomeration on economic growth. little research on the agglomeration of logistics industry in Chinese scholars mainly use the theory of industrial Xinjiang. Therefore this paper, taking 14 prefectural cities of agglomeration abroad for reference to study the phenomenon Xinjiang as the research object, studies the spillover effect of of industrial agglomeration in China. Liu. D and Zhang. S,Y Xinjiang logistics industry agglomeration on the economy [4] based on the empirical analysis of the panel data of 15 and the spatial differentiation of the economic spillover of prefectures in Xinjiang to the regional economic growth of the logistics industry cluster in Xinjiang during the past ten logistics industry agglomeration, founded that the logistics Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). 80 Advances in Economics, Business and Management Research, volume 85 years, providing theoretical basis and policy inspiration for e Xinjiang logistics industry development policy formulation logistics industry agglomeration level, is random during the 13th five-year Plan period. interference term. Y AK L LQ e (3) II. THEORETICAL BACKGROUND In this case, it is assumed that the rate of progress of A A. The Degree of Concentration of Logistics Industry technology will not change over a period of time, taking Considering the characteristics of logistics industry and logarithms on both side of a function and converting the the availability of data in Xinjiang, this paper chooses the following model A: location entropy index to measure the agglomeration level of each region. It is the ratio of the gross product of logistics InYit InA InKit InLit InLQit it (4) industry to the gross product of the whole industry of the region and the ratio of the gross product of the logistics In order to better investigate the impact of logistics industry of the whole country to the gross product of the industry agglomeration level on economic growth in various whole country, expressed by formula: regions, the coefficient to be estimated and the variables related to economy are introduced. The choice of variable is ei related to author’s study [12] and some variables that affect e (1) economic development in the new economic growth theory LQi Ei and improve the reality of Xinjiang, model B: E InYit o 1 InLit 2 InKit 3 InLQit Where LQ i stands for the degree of concentration of (5) 4 NXit 5 Geit 6 INSit it logistics industry in i-th region, ei represents the GDP of T is the time parameter; I is the Xinjiang 14 prefectural logistics industry in a certain region, e represents the total index; Y represents the gross national product (GDP); L as production of each industry in a region; E represents the i the input of labor force, expressed in terms of the number of total production of China’s logistics industry, E represents employees in all regions and states; K is the capital input, the total domestic production of each industry. If LQ i >1, It expressed by the fixed capital investment amount of each means that the logistics industry in this area has a high state; LQ is the level of logistics industry agglomeration, degree of concentration and a large scale of logistics industry, expressed by the location entropy index obtained above; NX If LQ <1, it means that the degree of concentration of represents the degree of opening up to the outside world in a i region and is represented by the proportion of total imports logistics industry in this area is lower and the scale of and exports to GDP; Ge is a government function variable, logistics industry is relatively small [11]. expressed as the proportion of fiscal expenditure to GDP and INS is the three major industrial structures, expressed as the B. The Spillover Effect of Logistics Industry Agglomeration ratio of the primary industry to the second and third on Economic Growth industries. In the 21st century, the logistics industry is called the "third profit source" after the material and human resources, C. Exploratory Spatial Data all three played a great role in economic growth. The Cobb The most commonly used metrics for global spatial Douglas production function is a description of economic autocorrelation are Moran' sI Index [13]: output determined by capital, labor, and knowledge technology [10]. The existing research points out that the nn agglomeration of logistics industry is an important motive n wij( x i x )( x j x ) ij ( ji) (6) force of economic growth and is one of the input factors. I nn 2 Therefore, the calculated degree of concentration of logistics wij() x i x industry is introduced into the Cobb Douglas production ij function, taking this function as the theoretical foundation Here n is the total number of counties and cities in model for the empirical analysis of the economic spillover Xinjiang: 85, is spatial weight matrix standardized for effect of logistics industry agglomeration [12]. wij Row, x and x is the attribute value of the cell, x is Y AK L (2) i j average of all attribute value
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