scholarly journals The Impact of Digital Economy on Total Factor Productivity of China’s Service Industry

2021 ◽  
Vol 5 (2) ◽  
pp. 90
Author(s):  
Liang Chunyan ◽  
Chen Zhengyuan
Keyword(s):  
Economic Growth ◽  
International Economic ◽  
Total Factor Productivity ◽  
National Economy ◽  
Service Industry ◽  
Digital Economy ◽  
Factor Productivity ◽  
Influence Effect ◽  
Development Level ◽  
The Impact

As a kind of integrated economy, digital economy has an important impact on the economic growth and production and lifestyle of multiple countries and regions, and plays a significant role in promoting the reconstruction of the international economic pattern. As an important industry of China’s national economy, the service industry is crucial to China’s economic growth. This paper measures the development level of digital economy in provinces and cities through constructing digital economy index system, uses super efficiency SBM-Malmquist model to measure total factor productivity of service industry, and tests the influence effect of digital economy on total factor productivity of Chinese service industry. Finally, the optimization path of digital economy on China’s service industry is proposed.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

The Impact of Total Factor Productivity on Economic Growth for Developed and Emerging Countries: A Second-generation Panel Data Analysis

2017 ◽  
Vol 11 (4) ◽  
pp. 404-417 ◽  
Author(s):  
Ömer Yalçınkaya ◽  
İbrahim Hüseyni ◽  
Ali Kemal Çelik
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Second Generation ◽  
Capital Formation ◽  
Emerging Countries ◽  
Fixed Capital ◽  
Factor Productivity ◽  
Fixed Capital Formation ◽  
The Impact

This article investigates the determinants of economic growth and also seeks to determine whether or not the impact of total factor productivity (TFP) changes with respect to the level of development for selected countries. In this manner, the present study examines the impact of gross fixed capital formation, employed labour and the TFP of G-7, G-12 and G-20 countries on real GDP per capita using second-generation panel data analyses over the period 1992–2014. The results reveal that TFP has a greater impact on economic growth than fixed capital formation and employed labour for all country groups. Furthermore, the impact of TFP on economic growth was found to be greater for developed countries than for emerging countries. JEL Classification: C21, C22, C23

scholarly journals Energy Efficiency, Policy and GTFP

2018 ◽  
Vol 53 ◽  
pp. 01033
Author(s):  
Fangqing Yi ◽  
Zenglian Zhang
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Industrial Structure ◽  
Provincial Government ◽  
Factor Productivity ◽  
Linkage Mechanism ◽  
The Government ◽  
The Impact

The environmental and resource constraints on economic growth are increasingly evident. China urgently needs to reshape its economic growth momentum. The increase in green total factor productivity is particularly necessary for the growth of the quantity and quality of the economy. This paper selects the provincial panel data of 30 provinces in China from 2001 to 2015, and establishes a panel exchangeable errors model to analyze the impact of eight indicators on green total factor productivity (GTFP) and verifies its effectiveness. Empirical analysis shows that inter-provincial government competition, environmental regulation, energy consumption, and capital stock have a significant impact on green total factor productivity. The influence of foreign direct investment, industrial structure, and industrialization level on the total factor productivity of green is not significant. Therefore, the government should adopt suitable, flexible and diverse environmental regulation policies, promote energy-saving emission reduction and technology innovations through policies such as taxes and subsidies, strengthen the linkage mechanism between industrial structure upgrading and energy efficiency, to increase green total factor productivity.

Are human capital, intellectual property rights, and research and development expenditures really important for total factor productivity? An empirical analysis

2019 ◽  
Vol 46 (6) ◽  
pp. 756-774 ◽  
Author(s):  
Misbah Habib ◽  
Jawad Abbas ◽  
Rahat Noman
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Intellectual Property ◽  
Property Rights ◽  
Research And Development ◽  
Total Factor Productivity ◽  
Intellectual Property Rights ◽  
Factor Productivity ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of human capital (HC), intellectual property rights (IPRs) and research and development (R&D) expenditures on total factor productivity (TFP), which leads to economic growth. Design/methodology/approach The panel data technique is used on a sample of 16 countries categorized into two groups, namely Brazil, Russia, India and China (BRIC) and Central and Eastern European (CEE) countries and, in order to make a comparison for the time period of 2007–2015, the researchers used a fixed effect model as an estimation method for regression. Findings The results indicate that HC, IPRs and R&D expenditures appear to be statistically significant and are strong factors in determining changes in TFP and exhibit positive results in all sample sets. Moreover, IPRs alone do not accelerate growth in an economy, especially taking the case of emerging nations. Originality/value Considering the importance of CEE and BRIC countries, and inadequate research on these regions with respect to current study’s variables and techniques, the present research provides valuable insights about the importance of HC, IPR and R&D activities and their impact on TFP, which leads to economic growth. IPRs create a fertile environment for R&D activities, knowledge creation and economic development. Distinct nations can attain better economic status via HC, R&D activities, innovation, trade and FDI, although the relative significance of these channels is likely to differ across countries depending on their developmental levels.

scholarly journals Total Factor Productivity Shock and Economic Growth in Selected Asean+3 Countries: A New Evidence Using a Panel Var

2021 ◽  
Vol 21 (3) ◽  
pp. 1366-1383
Author(s):  
Noorazeela Zainol Abidin ◽  
Ishak Yussof ◽  
Zulkefly Abdul Karim
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Positive Impact ◽  
Production Costs ◽  
Panel Var ◽  
Factor Productivity ◽  
Data Set ◽  
Tfp Growth ◽  
The Impact ◽  
Panel Vector Autoregression

A comparison between countries shows that there is a difference in terms of economic growth achievement across nations. This difference is due to the contribution of capital growth, labor, and total factor productivity (TFP). Although the use of capital and labor plays a vital role in the production, the contribution of TFP growth is also indispensable, as it saves production costs. Nevertheless, in 1995-2000, most countries have experienced a negative growth of TFP in which can affect its contribution to economic growth. Therefore, the focal point of this study is to analyze the impact of TFP growth shock on economic growth in selected ASEAN+3 countries (i.e., Malaysia, Singapore, Thailand, Indonesia, Philippines, Cambodia, Vietnam, China, South Korea, and Japan), using the data set from 1981 to 2014. The study employed the panel vector autoregression (PVAR) method in analyzing the propagation of the shocks through impulse response function and variance decomposition. The main findings revealed that TFP growth shocks have a positive impact on economic growth. Besides, the results also showed that over the next ten years, the proportion of human capital variation would be more dominant in contributing to the economic growth for the selected ASEAN+3 countries. As the surge in TFP growth had a positive impact on economic growth, this finding indicated that each country needs to allocate more expenditure in the Research and Development (R&D) activities.

scholarly journals THE IMPACT OF DIGITAL ECONOMY ON ECONOMIC GROWTH

2020 ◽  
pp. 96-105
Author(s):  
А.К. Сембеков ◽  
О.А. Тян ◽  
Е.Г. Будешов ◽  
A. Sembekov ◽  
O. Tyan ◽  
...  
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Empirical Studies ◽  
Digital Economy ◽  
Practical Significance ◽  
Gdp Growth ◽  
New Production ◽  
Economic Relations ◽  
Economic Growth Rates ◽  
The Impact

В статье авторами изучены и представлены существующие подходы к трактовки понятия «цифровая экономика», позиции различных ученых в части влияния результатов цифровизации на экономический рост, приведены итоги эмпирических исследований зарубежных ученых и ведущих международных организаций по вопросам оценки влияния цифровой экономики на рост ВВП. В работе обозначены некоторые нерешенные проблемы по измерению цифровой экономики в контексте взаймодействия с «традиционной». В условиях цифровизации, появления совершенно новых цифровых отраслей, изменения экономических отношений «традиционной» экономики становится актуальным теоретическое обоснование процессов, связанных с влиянием цифровой экономики на экономическое развитие, на рост ВВП. Практическое значение исследуемой проблемы крайне актуально для развивающейся национальной экономики Казахстана, ибо цифровая экономика обладает мощным потенциалом для экономического роста, что подтверждает актуальность исследования проблем цифрового роста национальной экономики за счет новых производительных факторов. В статье на основе анализа индексов развития цифровой экономики выявлены закономерности ее влияния на темпы экономического роста Казахстана. Проведение исследования позволило разработать корреляционную модель влияния уровня цифровой экономики на экономический рост Казахстана. In the article, the authors studied and presented the existing approaches to the interpretation of the “digital economy” concept, positions of various scientists regarding the impact of digitalization on economic growth, results of empirical studies of foreign scientists and leading international organizations on assessing the impact of the digital economy on GDP growth. The paper outlines some unresolved issues in measuring digital economy in the context of interacting with the "traditional" one. In the context of digitalization, the emergence of completely new digital industries, changes in the economic relations of the “traditional” economy, the theoretical justification of the processes associated with the influence of the digital economy on economic development and GDP growth becomes relevant. Practical significance of the studied problem is extremely relevant for the developing national economy of Kazakhstan, because digital economy has a powerful potential for economic growth, which confirms the relevance of the study of the problems of digital growth of the national economy due to new production factors. Based on the analysis of the digital economy development indices, the article reveals the patterns of its influence on economic growth rates of Kazakhstan. The study allowed us to develop a correlation model of the influence of the level of development of digital economy on economic growth of Kazakhstan.

scholarly journals Technology or Institutions: Which Is the Source of Green Economic Growth in Chinese Cities?

2021 ◽  
Vol 13 (19) ◽  
pp. 10934
Author(s):  
Jing Han ◽  
Xi Chen ◽  
Yawen Sun
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Total Factor Productivity ◽  
Technological Innovation ◽  
Institutional Innovation ◽  
Green Economy ◽  
Productivity Index ◽  
Factor Productivity ◽  
Urban Green ◽  
The Impact

To relax the increasingly tight resource and environmental constraints on development, China needs to follow a pattern of growth that comprehensively encompasses economic growth, environmental protection, and resource conservation, namely, green economic growth. The key to achieving green economic growth is to improve green total factor productivity, of which technological innovation and institutional innovation are the primary driving forces. Based on the panel data of 266 cities in China from 2004 to 2018, this paper first uses the Directional Distance Function and Global Malmquist–Luenberger productivity index to measure the urban green total factor productivity to represent urban green economic growth; then, the impact of technological innovation and institutional innovation on urban green economic growth is studied by using the panel Granger causality test and SYS-GMM dynamic panel model. The results are described as follows: China’s urban green total factor productivity shows an increasing trend from 2004 to 2018, and the average growth rate of green total factor productivity is 3.27%, which is far lower than the average GDP growth rate of 9.14%; both technological innovation and institutional innovation can significantly promote the growth of the urban green economy, but institutional innovation has a greater role in promoting the growth of the urban green economy than technological innovation. In addition, the relationship between institutional innovation and urban green economic growth is more stable.

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