DIVERSITY OR SPECIALIZARION? UNDERSTANDING KNOWLEDGE SPILLOVER MECHANISMS IN CHINA

Shicong XU

PhD candidate, Department of Agricultural, Environmental and Development Economics, Suite 250 Ag. Administration Building, 2120 Fyffe Rd, The Ohio State University, Columbus OH 43210, USA

Shicong.x@gmail.com

Abdoul G. SAM

Professor, Department of Agricultural, Environmental and Development Economics, Suite 250 Ag. Administration Building, 2120 Fyffe Rd,  The Ohio State University, Columbus OH 43210, USA, Corresponding author

Sam.7@osu.edu

Abstract

China’s rise to the top echelons of the world’s economies was accompanied by an expeditious growth in domestic patent applications. Not surprisingly, this phenomenon has spawned a growing literature trying to sort out the determinants of patented research in China. However, mostly due to data limitations, many of the papers on this topic use aggregated innovation data at the industry, prefecture, or province levels. In this paper, we examine the empirical validity of important theories of knowledge spillover in the context of China at a micro-level, using a firm-level panel dataset comprised of publicly traded companies listed in the Shanghai and ShenZhen Stock Exchanges during the 2006-2010 period. Our study sheds light on whether locating near innovative firms increases patenting activity in general, regardless of the industry membership of these neighboring firms. We also explore how industry makeup, measured by the number of firms in the same or different industries, affects firm-level patenting activity. Our econometric results show that the number of patent applications by firms in close geographic proximity of a firm of interest has a significant and positive impact on that firm’s successful patent applications. In addition, we find that proximity to firms in the same industry reduces innovation while locating near firms from different industries stimulates innovation.

Keywords: patents, knowledge diffusion, MAR spillover, Jacobs spillover, China

JEL classification: O31, O32, O33, R12, D22

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FACTORS AFFECTING ON URBAN LOCATION CHOICE DECISIONS OF ENTERPRISES

Y Nguyen CAO

Dr.Eng, Vietnam-Japan Research and Development Center, Department of Transport Economics, University of Transport and Communications, Cau Giay, No.03, Lang Thuong, Dong Da, Ha Noi, Viet Nam

ynguyencao82@utc.edu.vn

Abstract

This paper focuses on analyzing the origin data source to find out the principle motives and preferences which influence the location choice behaviors of individual firms in Tokyo metropolitan area. A modeling framework is developed to analyze decisions regarding location choice for enterprises using a multinomial logit model. In case study, the proposed model is tested for retailers, wholesalers, warehouses and manufacturers. The results indicate that for choosing a location, the number of employees is a more important determinant for manufacturers and warehouses than that for retailers and wholesalers. Additionally, the results indicate that transportation cost and the land prices in a given zone strongly affect the decision making process of all the firms in the metropolitan area.

Keywords: Multinomial Logit Model, Location Decision Behavior, Location Choice Model

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ECONOMIC SECURITY MANAGEMENT AT THE MESO-LEVEL: METHODOLOGICAL AND LEGAL APPROACH

Olga OVCHARENKO

PhD of Economics, Ukrainian State University of Chemical Technology, Ukraine

sunylight@i.ua

Viktoriia SMIESOVA

Doctor of Economics, Professor, Academician of the Academy of Economic Sciences of Ukraine, Ukrainian State University of Chemical Technology, Ukraine

smesova_vl@ukr.net

Maryna IVANOVA

Doctor of Economics, Professor, Academician of the Academy of Economic Sciences of Ukraine, Dnipro University of Technology, Ukraine

ma_riva@ukr.net

Nataliia KOVTUN

PhD of Economics, University of Customs and Financed Finance, Ukraine

nk.kovtun260780@gmail.com

Liliya ZOLOTUKHINA

Doctor of Law, Dnipropetrovsk State University of Internal Affairs, Ukraine

la.zolotukhina@gmail.com

Abstract

In current conditions, one of the main tasks of state and regional government bodies is to ensure economic security at the meso-level. The solution to this problem requires, on the one hand, the development of a methodological approach for the management bodies to conduct an express assessment of economic security in the region, and on the other hand, the development of directions for legal regulation of economic security at the regional level, with the aim of increasing the level of economic security of depressed regions. The purpose of the article is to substantiate a methodological approach for conducting an express assessment of the economic security of regions as a basis for making managerial decisions in this sphere, and to substantiate the directions of legal regulation of economic security at the meso-level. The paper proposes the key indicators for the express assessment of economic security at the regional level. The authors have analyzed methodological approaches, which are available in economic science and practice, to the analysis of the level of economic security of the country and regions. The expediency of using cluster analysis for express assessment of regional economic security has been substantiated. The effectiveness of this approach has been tested on the example of the regions in Ukraine. A cluster analysis was performed for each individual indicator of economic security, as well as for all the five indicators.  Leaders and outsiders in terms of economic security were identified. It has been proven that the economic security of the regions is determined by the results of their activities, the creation of the foundations by the governing bodies for the development of production and investment, employment and income of the population. The article has proposed directions of legal regulation of economic security in Ukraine, aimed at leveling threats to economic security and creating a favorable institutional and economic environment in the depressed regions of Ukraine.

Keywords: cluster, economic security, legal regulation, management, region

JEL classification: C1, K0, H70, R13, R50

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