scholarly journals An Empirical Study on Dynamic Evolution of Industrial Structure and Green Economic Growth—Based on Data from China’s Underdeveloped Areas

2021 ◽  
Vol 13 (15) ◽  
pp. 8154
Author(s):  
Gefu Liang ◽  
Dajia Yu ◽  
Lifei Ke
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Industrial Development ◽  
Industrial Structure ◽  
Developed Countries ◽  
Economic Transformation ◽  
Factor Productivity ◽  
Underdeveloped Areas ◽  
The Relationship ◽  
Industrial Structure Upgrading

From the experiences of developed countries or areas, advanced industrial structure is an effective way to promote economic transformation and high-quality growth. This paper uses the economic development data of seven underdeveloped provinces in China in 10 years to study the relationship between industrial structure upgrading, industrial structure rationalization and green economic growth. The result shows: (1) The relationship between the upgrading of industrial structure and green total factor productivity (GTFP) is a non-linear relationship that is difficult to fit. (2) There are two turning points in the relationship curve between industrial structure upgrading and green total factor productivity (these can be called “rationalization points”). (3) The “rationalization points” are affected by the rationalization of the industrial structure. (4) The “rationalization point” divides the relationship curve into three intervals. Within the threshold range [0.661, 0.673] of the rationalization of the industrial structure, the upgrading of the industrial structure promotes the increase of green total factor productivity, while outside the range, the upgrading of the industrial structure inhibits the increase of green total factor productivity. Therefore, industrial development in underdeveloped areas should first implement rationalization of industrial structure. After the rational adjustment of the industrial structure, we will then develop a high-level industrial structure to improve the green TFP.

scholarly journals The Relationship Between Public Expenditures, Total Factor Productivity and Economic Growth: A Panel Data Analysis

2021 ◽  
Author(s):  
Remzi Can Yılmaz ◽  
Ahmet Rutkay Ardoğan
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Data Availability ◽  
Public Expenditures ◽  
Annual Data ◽  
Factor Productivity ◽  
The Relationship

According to the economics literature, there are two main sources of economic growth. While the first of the resources is the accumulation of production factors, the other is the part of the output that cannot be explained by the amount of input used in production, in other words, the total factor productivity. The level of total factor productivity is measured according to how efficiently the inputs are used in the production process. In this study, the hypothesis that public spending affects real economic growth through total productivity is investigated. In the first stage, whether the changes in public expenditures affect the total factor productivity or not; if it does, to what extent and in what direction it has been tried to be revealed. In the second stage, the effect of total factor productivity on economic growth was examined and the statistical significance, direction and extent of the relationship between variables were investigated. Annual data were used in the study and the year range is 2000-2017. The sampling economies were selected according to data availability, and there are a total of 20 developed and developing economies. Research was conducted using multiple panel regression analysis. According to the findings, the relationship between public expenditures and total factor productivity is statistically significant. An increase in public expenditures reduces the total factor productivity. The relationship between total factor productivity and economic growth is statistically significant, and an increase in total factor productivity also increases economic growth. An increase in public expenditures affects economic growth negatively by reducing the total factor productivity.

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.

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.

A Time Series Analysis of International ICT Spillover

2011 ◽  
pp. 373-386
Author(s):  
Juan Juan Zhang ◽  
Sang-Yong Tom Lee
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Total Factor Productivity ◽  
Communication Technology ◽  
Factor Productivity ◽  
Series Analysis ◽  
Information And Communication ◽  
The Relationship

This article studies the role of international spillover of information and communication technology (ICT) in economic growth. We examine the performance of ten countries from 1982 to 1999. By empirically analyzing the relationship between total factor productivity (TFP) and domestic and foreign ICT investment with time series analysis tools, we find limited evidence that there exist international ICT spillovers for a group of countries. Further, we discuss the possible ICT policies to improve productivity and balance out a win-win situation for both ICT spillover sending and receiving countries.

scholarly journals An Empirical Study of the Relationship among Population Mobility, Industrial Structure Upgrading, and Economic Growth – Based on the SPVAR Model

2021 ◽  
Vol 4 (4) ◽  
pp. 14-25
Author(s):  
Bowen Xu ◽  
Yang Lu
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Space Time ◽  
Population Mobility ◽  
Vector Autoregressive ◽  
High Level ◽  
The Impact ◽  
Industrial Structure Upgrading

Based on the inter-provincial panel data for 31 provinces in China from 2000 to 2019, and incorporating geospatial factors, a spatial panel vector autoregressive (SPVAR) model consisting of population mobility, industrial structure upgrading, and economic growth is constructed. The space-time impulse response function is used to analyze the space-time conduction of exogenous variables on the impact of three endogenous variables. The study found that first, the population influx barely benefited the industrial structure upgrading and economic growth. Second, the upgrading of the industrial structure would aggravate the population mobility in the province, causing low-level laborers to leave the province in short-term, but in long-term, there would be influx of talents. Third, the economic growth in developed regions plays a significant role in promoting the industrial development of their province and population-rich provinces, but it has less impact on provinces with high-level industrial structure. Finally, policy recommendations are provided in regard to the benign interaction among population mobility, industrial structure upgrading, and economic growth in addition to clarifying the idea of economic development, implementing correct population policies, and promoting the coordinated regional development.

scholarly journals The Relationship between Labor Productivity and Economic Growth in OECD Countries

2017 ◽  
Vol 9 (5) ◽  
pp. 71 ◽  
Author(s):  
Suna Korkmaz ◽  
Oya Korkmaz
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Labor Productivity ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Oecd Countries ◽  
Factor Productivity ◽  
The Developed Countries ◽  
Partial Factor Productivity ◽  
The Relationship

In the course of globalization, the countries entered into an intense competition between each other. In order to achieve the competitive advantage, countries pay significant importance to the technological advancements. By improving the productivity, the technological innovations and developments allow the countries to make production at lower costs. The increase in factor productivities would enable higher levels of output in the economy. Since the factor productivity influences many other factors and the developed countries meet these criteria better than developing countries do, the factor productivities are higher in developed countries, when compared to those in developing countries. For this reason, in this study, the relationship between labor productivity, which is a partial factor productivity, and economic growth in seven OECD countries for the period between 2008 and 2014 by utilizing the panel data analysis method. According to the test results, we find a unidirectional causality relationship from economic growth to labor productivity.

A Time Series Analysis of International ICT Spillover

2008 ◽  
pp. 3285-3298
Author(s):  
Juan Juan Zhang ◽  
Sang-Yong Tom Lee
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Total Factor Productivity ◽  
Communication Technology ◽  
Factor Productivity ◽  
Series Analysis ◽  
Information And Communication ◽  
The Relationship

This article studies the role of international spillover of information and communication technology (ICT) in economic growth. We examine the performance of ten countries from 1982 to 1999. By empirically analyzing the relationship between total factor productivity (TFP) and domestic and foreign ICT investment with time series analysis tools, we find limited evidence that there exist international ICT spillovers for a group of countries. Further, we discuss the possible ICT policies to improve productivity and balance out a win-win situation for both ICT spillover sending and receiving countries.

scholarly journals Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

2021 ◽  
Vol 235 ◽  
pp. 02021
Author(s):  
Menglu Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Relationship ◽  
Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

A Time Series Analysis of International ICT Spillover

2010 ◽  
pp. 132-145 ◽  
Author(s):  
Juan Juan Zhang ◽  
Sang-Yong Tom Lee
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Total Factor Productivity ◽  
Communication Technology ◽  
Factor Productivity ◽  
Series Analysis ◽  
Information And Communication ◽  
The Relationship

This article studies the role of international spillover of information and communication technology (ICT) in economic growth. We examine the performance of ten countries from 1982 to 1999. By empirically analyzing the relationship between total factor productivity (TFP) and domestic and foreign ICT investment with time series analysis tools, we find limited evidence that there exist international ICT spillovers for a group of countries. Further, we discuss the possible ICT policies to improve productivity and balance out a win-win situation for both ICT spillover sending and receiving countries.

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