Tag: O32

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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TECHNOLOGIZATION PROCESSES AND SOCIAL AND ECONOMIC GROWTH: MODELING THE IMPACT AND PRIORITIES FOR STRENGTHENING THE TECHNOLOGICAL COMPETITIVENESS OF THE ECONOMY

Taras VASYLTSIV

Professor at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine;

tgvas77@ukr.net

Olha MULSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

oliochka.mulska@gmail.com

Volodymyr PANCHENKO

Professor at the Department of Pedagogy and Management of Education, Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, Kropyvnytskyi, Ukraine

op_panchenko@ukr.net

Maryana KOHUT

Associate Professor at the Department of International Economic Relations and Marketing, Lviv National Agrarian University, Dubliany, Ukraine

maryana_kohut@i.ua

Volodymyr ZAYCHENKO

Associate Professor at the Faculty of Economics and Management, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine

zaichenko.v78@gmail.com

Olha LEVYTSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

o.levytska@gmail.com

Abstract

The methodology of integral assessment of the technological competitiveness state of the economy has been developed, which includes a system of indicators in the areas of the country’s readiness for economy digitization, the quality of innovation activity institutions, the state of digital knowledge dissemination. The integral values of technological competitiveness of the economy for the countries of the European Union and Ukraine have been calculated. A dynamic grouping of countries according to the level of technological competitiveness of the economy has been carried out. Modelling the impact of the parameters of technological competitiveness of the national economy on the basic parameters of social and economic development such as GDP per capita, share of high-tech exports, capital investment and quality of life of population has been realized. The strategic priorities and means of introduction of the collective contractual organizational and institutional system for providing technologization in the processes of social and economic growth of the country (the casestudy of Ukraine) are substantiated.

Keywords: innovation and technological development, competitiveness of the social and economic system, economic integration, prerequisites, factors of technologization

JEL classification: O32, O38, O47, C18, C51

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REGIONAL STRATEGIES FOR DEALING WITH STRUCTURAL CHANGE

Eleonora CUTRINI

Associate Professor, Department of Law, University of Macerata

eleonora.cutrini@unimc.it

Enzo VALENTINI

Research Fellow,Department of Political Sciences, Communication and International Relations, University of Macerata

enzo.valentini@unimc.it

Abstract

In recent decades, the low economic performance of European countries has been mainly responsible for the emergence of an economic policy increasingly intended to strengthen the innovative and technology capacity of regions. In particular, the European periphery is lagging behind in the transition to a knowledge driven and eventually service-oriented economy. In a general context of de-industrialization and transition to service economy, and bearing in mind the policy debate at the EU level, the aim of this paper is to analyze the factors driving knowledge-intensive service specialization at the regional level in Italy. Our main research questions here can be summarized as follows: What determines the transition to Services and the specialization in Knowledge-Intensive Services (KIS) in Italy? What are the structural characteristics that may explain the regional variation of employment share in high-knowledge services? Using data on Italian regions over the period 1995-2014 (and spatial panel models as a methodology), the analysis carried out in the paper suggests some considerations: the “mere” (but needed) transition to service activities can be positively associated with R&D Personnel, Tertiary Education, University Attractiveness, Tourism and efficient infrastructure (Railroad). But the transition to Knowledge Intensive Services, supposed to pay higher wages, may deserve a more appropriate and focused public intervention, in view of the fact that it seems to be mainly associated with Public R&D, Tertiary Education and University Attractiveness.

Keywords: Structural Change, Specialization, Spatial Panels, Regional Economy

JEL classification: I25, O32, R11, R12

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