Firm organization, industrial structure, and technological innovation

1996 ◽  
Vol 31 (2) ◽  
pp. 193-224 ◽  
Author(s):  
David J. Teece
2021 ◽  
Vol 235 ◽  
pp. 02042
Author(s):  
Peihua Li

Technological innovation represented by artificial intelligence and 5G networks has developed rapidly, since the reform and opening up, especially in recent years. Technological innovation promotes the upgrading of industrial structure, promotes the increase of employment in emerging industries, at the same time, eliminate the workers in backward industries, which will have an impact on overall employment. Therefore, this paper studies the impact of technological innovation on the total employment of China from an empirical perspective. Total Factor Productivity (TFP) and TFP growth rate calculated by the Solow residual method are used as indicators of the level of technological innovation, and the long-term cointegration regression model and short-term impulse response function are established with the number of employees and employment growth rate as the dependent variables, respectively. The study found that, the impact of technological innovation on employment levels has a stable promotion effect in the long run; in the short run, there is a destructive effect at first, but as time goes by, this destructive mechanism gradually occupies the peak, and the creative mechanism begins to take effect. The leading role, technological innovation has a steady promotion effect on employment.


2021 ◽  
Vol 275 ◽  
pp. 02023
Author(s):  
Jing Zheng

Based on the panel data of 278 prefecture-level cities in China from 2008 to 2018, this paper adopts DID method to verify the impact of “the Belt and Road initiative” on pollution level of these cities, the results are still robust through the placebo test and PSM-DID, the mechanism is also analyzed. The study found that “the Belt and Road initiative” has a significant effect on the emission of wastewater, waste gas and dust of cities in China; the mechanism test shows that “the Belt and Road initiative” has significantly reduced urban environmental pollution by promoting foreign investment, upgrading industrial structure and technological innovation.


2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.


2013 ◽  
Vol 340 ◽  
pp. 21-24
Author(s):  
Xuan Ren

The comber equipment is essential for high-count yarn textile of the enterprises spun. It is an effective means to enhance the quality of the yarn, to adjust the industrial structure, to increase the added value of yarn, and to enhance the competitiveness. Currently, there is a gap between the domestic combers with world leading level. The article describes the technical characteristics of the domestic high-speed Comber and technological innovation, and focuses its network promotion display and the application.


Author(s):  
Jinling Yan ◽  
Junfeng Zhao ◽  
Xiaodong Yang ◽  
Xufeng Su ◽  
Hailing Wang ◽  
...  

As a comprehensive environmental regulation, the low-carbon city pilot policy (LCCP) may have an impact on haze pollution. The evaluation of the effectiveness of LCCP on haze pollution is greatly significant for air pollution prevention and control. Taking LCCP as the starting point, in this study we constructed DID, PSM-DID, and intermediary effect models to empirically test the impact and mechanism of LCCP on haze pollution, based on the panel data of 271 cities in China from 2005 to 2018. The findings show that (1) LCCP has significantly reduced the urban haze pollution, and the average annual concentration of PM2.5 in pilot cities decreased by 14.29%. (2) LCCP can inhibit haze pollution by promoting technological innovation, upgrading the industrial structure, and reducing energy consumption. Among these impacts, the effect of technological innovation is the strongest, followed by industrial structure, and energy consumption. (3) LCCP has significantly curbed the haze pollution of non-resource dependent cities, Eastern cities, and large cities, but exerted little impact on resource-dependent cities, Central and Western regions, and small and medium-sized cities. (4) LCCP has a spatial spillover effect. It can inhibit the haze pollution of adjacent cities through demonstration and warning effects. This study enriches the relevant research on LCCP and provides empirical support and policy enlightenment for pollution reduction.


Author(s):  
Ke Liu ◽  
Yurong Qiao ◽  
Qian Zhou

With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.


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