scholarly journals An empirical analysis of the impact of technological innovation on China’s total employment

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.

2018 ◽  
Vol 53 ◽  
pp. 04054
Author(s):  
Xuefei Xu ◽  
Lili Wang ◽  
Shang Chen

As green growth has attracted a great deal of attention due to the growing concern about the degradation of natural resources and environmental pollution in China, the questions of how to achieve it and which factors drive green growth have become hot topics. Environmental regulation and technological innovation are two main fulcrums in the realization of green growth. However, there is lacking a deeper understanding of the impact of environmental regulation and technological innovation on green growth in a methodological framework. Accordingly, this paper attempts to analyze how these factors affect the implementation of green growth in a model. The findings reveal that (1) in the short term, environmental regulation has inhibited green growth, but has a positive impact on green growth in the long run, (2) technological innovation plays a positive role in green growth improvement, and (3) the causality chain among regulation, technological innovation, and green growth is a typical mediation model. Technological innovation plays an important mediation role in the causal chain. This study not only enriches and deepens theories on green growth, but also successfully implements green growth practices and improve their performance.


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.


2011 ◽  
pp. 90-120
Author(s):  
Ioanna D. Constantiou ◽  
George C. Polyzos

Over the last couple of years, we have been witnessing the process of convergence between wireless and wired networks, under intense technological innovation and rapid market evolution. Mobile operators are trying to maintain a leading role in the market as it evolves towards integration with the Internet. However, the development of a multitude of new services will require the growth of a whole new market for network connectivity, applications and content. In order to understand the business opportunities arising and the ensuing competitive dynamics, this chapter explores the evolution of key players’ business relationships and strategies along with a range of critical issues that will be faced by companies and regulators alike.


2019 ◽  
Vol 46 (7) ◽  
pp. 887-903 ◽  
Author(s):  
Narayan Sethi ◽  
Bikash Ranjan Mishra ◽  
Padmaja Bhujabal

Purpose The purpose of this paper is to empirically investigate whether market size and its growth rate, along with financial development indicators, affect human capital in selected south Asian economies over the time period from 1984 to 2015. Design/methodology/approach The stationarity of the variables are checked by LLC, IPS, ADF and Phillips–Perron panel unit-root tests. Pedroni’s and Kao’s panel co-integration approaches are employed to examine the long-run relationship among the variables. To estimate the coefficients of co-integrating vectors, both PDOLS and FMOLS techniques are used. The short-term and long-run causalities are examined by panel granger causality. Findings From the empirical results, the authors found that both the market size and financial development play an important role in the development of human capital in the selected south Asian economies. It is evident that a large market size and faster degree of financial development in the selected countries result in better human capital formation. Originality/value There are a number of studies on the impact of financial development indicators on human capital and economic growth, but there is hardly any study that considers market size and its growth rate along with financial development indicators with human capital in the context of south Asian economies. The study fills this research gap.


2021 ◽  
Vol 7 (3) ◽  
pp. 255-266
Author(s):  
G. Ganchev ◽  
◽  
I. Todorov ◽  

The objective of this article is to estimate the impact of three fiscal instruments (direct taxes, indirect taxes, and government expenditure) on Bulgaria’s economic growth. The study employs an autoregressive distributed lag model (ARDL) and Eurostat quarterly seasonally adjusted data for the period 1999–2020. Four control variables (the shares of gross capital formation, household consumption, and exports in GDP as well as the economic growth in the euro area) are included in the model to account for the influence of non-fiscal factors on Bulgaria’s real GDP growth rate. The empirical results indicate a long-run equilibrium relationship between Bulgaria’s economic growth and the independent variables in the ARDL. In the short term, Bulgaria’s real GDP growth rate is affected by its own past values and the previous values of the shares of direct tax revenue, exports, government consumption, and indirect tax revenue in GDP. In the long term, Bulgaria’s economic growth is influenced by its own previous values and the past values of the share of household consumption in GDP and the euro area’s real GDP growth rate. Fiscal instruments can be used to stabilize Bulgaria’s growth in the short run but they are neutral in the long run. The direct tax revenue, government consumption, and indirect tax revenue are highly effective and can be used as tools for invigorating and stabilizing Bulgaria’s economic growth in the short run. However, in the long term, the real GDP growth rate can be hastened only by encouraging domestic demand (final consumption expenditure of households) and promoting exports. This research cannot answer the question of whether flat income taxation stabilizes the economy or not, since it does not separate the impact of tax rate changes from the influence of tax base modifications.


2021 ◽  
Vol 25 (4) ◽  
pp. 98-109
Author(s):  
B. D. Matrizaev

This article examines the main mechanisms and tools for implementing innovation policy in countries with fastgrowing economies such as China and India. The study aims to explore the causal relationship between innovation, key macroeconomicvariables and economic growth.The author applies the entropy method and adapts the Graymodel to build a system of indices for assessing the coordination of the interaction of technological innovation, financial development and economic growth. The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. Our research proves that innovation indirectly affects economic growth through quality of life, infrastructure efficiency, employment, and rade openness. The findings of the research reveal that both economic growth and innovation tend to depend on a number of conjugate variables in the long run: capital, labor, etc. The author concludes that a comprehensive analysis of technological innovation, financial development and economic growth shows that the three-factor relationship has great potential for coordinated development, as a result of which, according to the calculated forecasts, economic growth in fast-growing economies will significantly accelerate its pace in the next five years. The subject of further research may be an analysis of whether the degree of conjugation of connectivity and coordination between the three systems will maintain stable growth at high values and whether they will be able to reach the stage of transformation.


2011 ◽  
Vol 16 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Khalid Mushtaq ◽  
Abdul Ghafoor Abdul Ghafoor ◽  
Abedullah Abedullah ◽  
Farhan Ahmad

This paper attempts to evaluate the impact of monetary and macroeconomic factors on real wheat prices in Pakistan for the period 1976-2010, using Johansen’s co-integration approach. The Augmented Dickey-Fuller test reveals that all the variables used are first-difference stationary, except the trade openness indicator, which is second-difference stationary. There is also a longrun equilibrium relationship among these variables. The results indicate that real money supply, openness of the economy, and the real exchange rate have a significant effect on real wheat prices in the long run. The impulse response function shows that a trade openness shock impacted wheat prices to some extent and that it took three to four years for prices to become stable, following the shock. The findings of the study suggest that the policy thrust should focus on increasing wheat supply in the country by enhancing production or by liberalizing trade. Efforts should also be directed toward stabilizing the value of the Pakistani rupee against foreign currencies, especially the US dollar.


2021 ◽  
Vol 8 (6) ◽  
pp. 631-650
Author(s):  
Sayid Syekh ◽  
Zainuddin Zainuddin

This study investigates the relationship between Jambi export with gross domestic capital formation, allocation of transfer funds, and private investment, based on the Vector Error Correction Model (VECM). The results show that, both in the short and long term, the gross domestic capital formation, allocation of transfer funds, and private investment can explain changes in Jambi exports. The gross domestic capital formation strongly influences Jambi's export fluctuations compared to other variables. There is a disequilibrium relationship in the short term, and it becomes equilibrium in the long run. Only 69 percent of export changes can be determined in the current period, and the rest is determined in other periods. Likewise, the gross domestic capital formation, only 38 percent, can be determined in the current period, and the rest is determined in other periods. Based on the impulse response function, the impact of export shocks has a large impact on itself. Shocks have a very significant impact and have a long lead to stable levels. Shocks can cause changes in Jambi exports to gross domestic capital formation. Shocks to the formation of gross domestic capital formation require a long time to reach a stable level.


2021 ◽  
Vol 11 (7) ◽  
pp. 59-71
Author(s):  
Debesh Bhowmik

The paper endeavours to explore the macroeconomic impact on the Yuan SDR exchange rate of China during 2017m1-2021m6 to justify the internationalization of RMB which had entered into the SDR basket of IMF in October 2016.To evaluate the impact ,the paper used the methodology of Johansen (1988) cointegration and vector error correction model considering monthly Yuan per SDR as dependent variable and monthly GDP, inflation rate, foreign exchange reserves, export and import as the independent macro-economic variables. The pattern of trendline of Yuan per SDR is found nonlinear having cyclical fluctuations and seasonal variations according to Hamilton (2018). The paper also found that Yuan per SDR has significant long run causalities with export, import, inflation rate, GDP and foreign exchange rate of China during the specified period. Even, Yuan per SDR has significant short run causality with export only. The cointegrating equation converged towards the equilibrium with the speed of adjustment 11.83% per month significantly. The impulse response function of import to Yuan per SDR showed significantly convergent. The VECM contains autocorrelation problem and unit root for which it is non-stationary.


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