Did Industrial Centralization Strategy in Shanghai’s Suburbs Lead to Economic Growth?

Industrial centralization is an important policy choice in the industrial economy era. The purpose of this paper is to evaluate the overall performance and the influential effects of the industrial centralization strategy in the suburbs of Shanghai. The results show that (1) the strategy of industrial concentration in the suburbs of Shanghai effectively promoted economic growth; (2) on different spatial scales, there are visible differences in the impact of industrial concentration on the performance of industrial land; (3) industrial concentration has significantly improved industrial energy utilization efficiency; and (4) industrial concentration has narrowed the gap of economic development among the suburbs, but it has not resulted in a corresponding narrowing of the urban-rural gap. The main recommendations are to pay more attention to the high-end and centralization of urban industries in the central city, promote the interactive development of manufacturing and service industries as well as the integrated development of industry and city, moderately control the scale and speed of industrial suburbanization and residential suburbanization, promote the transformation of the traditional industrial land into “industry + R&D + business and office + exhibition” and further narrow the income gap between and within regions.

The dynamics of industrial geographic distribution: evidence from Brazil (2002-2014)

ABSTRACT The geographical distribution of Brazilian industries changed between 2002 and 2014, and it was more significant for some industries. Based on Dumais et al. (2002), we explore the dynamics of these changes by a decomposition of the employment variation and concentration index for manufacturing industries grouped by technological intensity, and we identify the direction of the locational movements of the firms among microregions. In general., the results indicate that between 2002 and 2014, there was a trend of convergence among the microregions’ participation in industrial employment, contributing to industrial deconcentration in the country, with the exception of the group of high-technology industries, which became more concentrated. Components of the life cycle of industries, especially the growth of employment generated by new industries in non-metropolitan microregions, are identified as main propelling of this evidence. In general., the results are consistent with the importance of agglomeration economies over historic accidents to explain the industrial concentration in Brazil between 2002 and 2014.

R&D and Industrial Concentration in the Indonesian Manufacturing Industry

This research investigates the relation between research and development (R&D) expenditure and the industrial concentration in the Indonesian manufacturing industry. Pooled least square dummy variable is applied to estimate the relation between the two variables. This research uses firm-level data taken from the survey of the manufacturing industry sourced from the Indonesian Bureau of Central Statistics. This research makes contributions in calculating the percentage of R&D expenditure using the recent data and freshly estimating the relation between R&D and industrial concentration in the industry. This research finds that the percentage of R&D expenditure is relatively low in the industry. There is also a declining trend in the percentage of the R&D expenditure from the period 1994–1995 to 2017. The higher industrial concentration increases the percentage of R&D expenditure. This research also finds that R&D expenditure can be higher in the firms with market power.

Comparative Study on Industrial Concentration Degree of China, Japan, USA, Korea Steel Industry

The steel industry is the basic industry of the national economy. This paper aims at the problems that the organization structure and scale efficiency of the steel industry in China are not completely reasonable. By analyzing the evolution data of the industrial concentration of China, Japan, the United States and South Korea, the steel industry can be optimized for China. The structure can learn from and learn from the experience and lessons. The results of the study show that: Steel companies should pay attention to clear market positioning and improve their own competitiveness, rather than blindly seeking to expand their scale; the increase in industrial concentration of the steel industry is the result of an objective choice to adapt to market competition, not the result of subjective decisions; the development of enterprises must have an international perspective, and attach importance to strategic cooperation with related industrial enterprises.

An Analysis of the Current Situation of the Research on the Influencing Factors of M & A Performance of Listed Companies

M & A was an important means to promote the transformation and upgrading of traditional industries, and also an important way to improve the degree of industrial concentration and speed up the transformation of industrial development mode. As a direct embodiment of the efficiency of M & A, the performance of M & A has been widely concerned by scholars. This paper introduced the concept of M & A performance and motivation of M & A, used Citespace to analyze 749 papers on M & A performance from CNKI core journals from 2000 to 2020,The research focus and frontier of M & A performance a analyzed by keyword clustering and keyword variation, and analyzed the research results of external environment, internal environment, M & A characteristics and external intermediary agencies which affect M & A performance, Finally, the possible direction of future research was proposed.

Contribution of Spatial Concentration in Exaggerating Inequalities: Across Various Urban Regions of Pakistan

Industrial agglomeration and inequalities are much of the concerns in recent literature. Pakistan, being a developing country, is also restricted by resource availability to treat all regions equally with respect to investment and development. As a result, regions with growing agglomeration experience higher income levels relative to other regions. To investigate this empirically this study employed propensity score matching (PSM) across urban regions in Pakistan using Labour Force Survey data 2017-18. For agglomeration regional herfindhal indices were estimated and regions with above average index value along with having positive index growth were considered as treated or agglomerated regions. The positive and significant coefficient of regions with treatment signifies that regions with agglomeration were found to have higher relatively income. Hence introducing industrial concentration in untreated regions would be effective in reducing inequalities rather tackling them by reducing agglomeration in agglomerated regions.