Abstract
Since the Silk Road Economic Belt initiative was put forward in 2013, the industrial structure of Xinjiang has become increasingly rationalized, and Xinjiang’s economic development has entered a stage of rapid development. Based on the Solow residual value method, this paper uses the gray correlation model to estimate the elastic coefficient of capital and labor input and calculates the contribution rate of technological progress in 25 industrial sectors in Xinjiang. The research results show that more than 50% of the industrial sector in Xinjiang contributes more than 50% to technological progress, and Xinjiang’s economy has entered a period of intensive rapid development.
Highlights
1942,Dutch economist Ding B.G.added a time variable to the C-D function,and for the first time raised the issue of total factor productivity,making it possible to measure technological progress.In 1957,the American economist Solow incorporated technological progress into the production function based on the research of Douglas and Ding B.G.,and for the first time quantitatively separated the growth role of technological progress in the economy [10].Most existing scholars use this improved function model to measure the contribution rate of technological progress in the economy.This paper uses this relatively mature method to measure the contribution rate of Xinjiang’s technological progress from 2014 to 2019 and briefly analyzes the level of technological progress in Xinjiang’s economic growth
The Solow residual method is widely used because of its simple calculation and easy data collection.It is called the “residual value method” because it equates the contribution rate of technological progress to economic growth as the sum of all other factors remaining after deducting the contribution rate of labor and capital investment.,technological progress here refers to technological progress in a broad sense.The calculation formula is: (1) Here,A refers to the speed of technical progress,y is the output growth rate,k is the growth speed of capital investment, l is the growth speed of labor investment,α is the elastic coefficient of capital investment, and β is the elastic coefficient of labor investment
The traditional elastic coefficient is based on the production function under certain premises and assumptions and is obtained by the least square method.A small sample size will have a greater impact on the regression results.This paper only measures the contribution rate of technological progress in the industrial sector of Xinjiang since the Silk Road Economic Belt initiative was put forward in 2013,and the data sample size is small.The gray correlation analysis method uses the similarity of the geometric shape of the data sequence curve to judge the correlation size,which is more suitable for the case of a small sample size.,this paper adopts grey relational analysis to calculate the elasticity coefficient of capital and labor
Summary
With the introduction of the Silk Road Economic Belt initiative in 2013,Xinjiang has become the core of the new Silk Road Economic Belt due to its superior geographical location.Xinjiang has become the growth pole of economic development in western China,and industry is the core of regional economic development.The healthy development of the industrial sector is very important to the regional economy.To ensure the healthy,sustained and rapid development of the industry,the core is the level of science and technology.,measuring the contribution rate of science and technology to economic growth in the industrial sector is an important indicator for measuring economic development and an important factor for measuring the sustainable development of the industry.Existing research on the contribution rate of technological progress to the promotion of regional economic development is relatively abundant: Liu Z.(2021) measured the contribution rate of technological progress to economic growth in Hunan Province[1];Wang L.,et al(2020) measured the contribution rate of food technology progress in Hunan Province under the new development concept[2];Yang X.et al(2020) studied the contribution rate of supplyside factors to China’s economic growth[3];Lv X.M.,Zhang Yong l.(2019) studied the impact of technological progress on the adjustment of China’s industrial structure based on the perspective of industry and regional differences [4];Zheng S.L.,Zhang M.C.(2019) studied the contribution rate of technological progress to China’s economic growth from 1990 to 2017 [5];Guo C.,et al(2019) calculated based on the consideration of capital deepening and the contribution rate of total factor productivity Improved labor productivity in China’s manufacturing industry[6];Cao. M.X.and Gao S.(2018) conducted research on China’s agricultural total factor productivity based on the agricultural panel of Jiangsu Province [7];Cheng M.L.(2018) measured the contribution rate of China’s agricultural technological progress [8].A large number of studies on the contribution rate of technological progress show that technological progress in the process of social development has a certain effect on the study of regional economic development.Due to the different development levels of technological innovation at different stages,the degree of promotion of the economy is different. the existing research results are relatively rich,there is a lack of literature on the contribution rate of technological progress to the economic growth of Xinjiang among the existing research results.Xinjiang is located in the core area of the Silk Road Economic Belt.Since the proposal of the New Silk Road Economic Belt was put forward,has the level of technological innovation played a significant role in promoting the economy of Xinjiang? Is it necessary for the regional government to give preferential support for technological research?This paper mainly studies this issue
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