Technological Progress and the Transformation of China’s Economic Development Mode

2020 ◽  
Author(s):  
Wen Xiao
Keyword(s):  
Economic Development ◽  
Technological Progress ◽  
Development Mode

scholarly journals Research on the contribution rate of scientific and technological progress to Chongqing’s economic growth Based on the Solow Growth model

2021 ◽  
Vol 235 ◽  
pp. 01012
Author(s):  
Yixin Zheng ◽  
Yucheng Wang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Capital Investment ◽  
Technological Progress ◽  
Labor Input ◽  
Contribution Rate ◽  
Development Mode ◽  
Capital Input ◽  
High Level ◽  
The Impact

In the context of current proposed transformation of economic development of the region are actively rely on capital from investment to promote economic growth mode to a mode relying on technological progress to promote economic growth up. Therefore, this paper selects the sample data of Chongqing from 2010 to 2017, and based on the empirical analysis of the Solow residual value model, using SPSS statistics 25 software, studies the contribution of Chongqing’s capital investment and labor input, especially technological progress, to economic growth. The research shows that the contribution rate of Chongqing’s capital input to economic growth has always been at a relatively high level, but it has shown a general downward trend. At the same time, the elasticity coefficient of capital input is small, indicating that its contribution to economic growth is small; the contribution rate of labor input fluctuates greatly but the impact is small; the contribution rate of scientific and technological progress to economic growth shows an overall upward trend, which has become an important factor for driving Chongqing’s economic growth after capital investment. Therefore, governments must accelerate the transformation of the economic development mode, vigorously promote the development of science and technology, and rely more on scientific and technological progress to promote economic growth and achieve sustainable economic development.

scholarly journals Study on the effect of digital economy on high-quality economic development in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257365
Author(s):  
Wei Zhang ◽  
Siqi Zhao ◽  
Xiaoyu Wan ◽  
Yuan Yao
Keyword(s):  
Economic Development ◽  
Technological Progress ◽  
Digital Economy ◽  
Mediating Effect ◽  
Eastern Region ◽  
Factor Productivity ◽  
High Quality ◽  
Digital Infrastructure ◽  
Digital Integration ◽  
Development Level

At present, the digital economy, which takes information technology and data as the key elements, is booming and has become an important force in promoting the economic growth of various countries. In order to explore the current dynamic trend of China’s digital economy development and the impact of the digital economy on the high-quality economic development, this paper measures the digital economic development index of 30 cities in China from the three dimensions of digital infrastructure, digital industry, and digital integration, uses panel data of 30 cities in China from 2015 to 2019 to construct an econometric model for empirical analysis, and verifies the mediating effect of technological progress between the digital economy and high-quality economic development. The results show that (1) The development level of China’s digital economy is increasing year by year, that the growth of digital infrastructure is obvious, and that the development of the digital industry is relatively slow. (2) Digital infrastructure, digital industry and digital integration all have significant positive effects on regional total factor productivity, and the influence coefficients are 0.2452, 0.0773 and 0.3458 respectively. (3) Regarding the transmission mechanism from the digital economy to the high-quality economic development, the study finds that the mediating effect of technological progress is 0.1527, of which the mediating effect of technological progress in the eastern, northeast, central and western regions is 1.70%, 9.25%, 28.89% and 21.22% respectively. (4) From the perspective of spatial distribution, the development level of the digital economy in the eastern region is much higher than that in other non-eastern regions, and the development of digital economy in the eastern region has a higher marginal contribution rate to the improvement of the total factor productivity. This study can provide a theoretical basis and practical support for the government to formulate policies for the development of the digital economy.

scholarly journals Tax Arrangement and Regional Industrial Restructuring: Evidence from Panel Data in China

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Jinying Ma ◽  
Xi Zhang ◽  
Feng Tao ◽  
Fuzheng Luo
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Income Tax ◽  
Industrial Structure ◽  
Econometric Model ◽  
Negative Impact ◽  
Industrial Restructuring ◽  
Development Mode ◽  
Secondary Industry ◽  
Regional Industrial Structure

Regional industrial restructuring has been one of the major items in the transformation of economic development mode. An exploration was made into the influence of tax arrangement on the regional industrial structure by setting up a panel data econometric model based on the evaluation and analysis of the regional industrial structure in China. It was shown that tax arrangement influenced the regional industrial restructuring in terms of three aspects. Microlevel: the turnover tax and income tax appeared with a U-path of influence on upgrading of the industrial structure while appearing with an inverted U-path of influence on rationalization of the industrial structure. In addition, the levy of resource tax had a negative impact on both upgrading and rationalization of the industrial structure. Mesolevel: taxation in the secondary and tertiary industries appeared with a U-path of influence on upgrading of the industrial structure. An increase of taxation in the secondary industry had a negative impact on rationalization of the industrial structure. The taxation in the tertiary industry appeared with an inverted U-path of influence on rationalization of the industrial structure. Macrolevel: the macrotax burden had a U-path of influence on both upgrading and rationalization of the industrial structure.

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