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.

scholarly journals Is Urban Economic Output Decoupling from Water Use in Developing Countries?—Empirical Analysis of Beijing and Shanghai, China

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1335 ◽  
Author(s):  
Xiaowei Wang ◽  
Rongrong Li
Keyword(s):  
Economic Development ◽  
Water Use ◽  
Industrial Structure ◽  
Urban Water ◽  
Industrial Water ◽  
Primary Industry ◽  
Intensity Effect ◽  
Development Level ◽  
Urban Water Use ◽  
Secondary Industry

Water issue is one of the challenges of urban sustainability in developing countries. To address the conflict between urban water use and economic development, it is required to better understand the decoupling states between them and the driving forces behind these decoupling states. The transformed Tapio decoupling model is applied in this paper to study the decoupling relationship between urban industrial water consumption and economic growth in Beijing and Shanghai, two megacities in China, in 2003–2016. The factors driving decoupling are divided into industrial structure effect, industrial water utilization intensity effect, economic development level effect, and population size effect through Logarithmic Mean Divisia Index (LMDI) method. The results show that: (1) the decoupling states of total water consumption and economic growth in Beijing and Shanghai are mainly strong decoupling and weak decoupling. In comparison, Shanghai’s decoupling effect is better than Beijing; (2) regarding decoupling elasticity, Beijing is higher than that of Shanghai in tertiary industry and lower in primary industry and secondary industry. As a result, Beijing’s decoupling level is worse than Shanghai in tertiary industry, while better in primary industry and secondary industry; (3) The common factors that drive the two megacities’ decoupling are industrial structure effect and industrial water utilization intensity effect. The effects of economic development level and population size mainly present weak decoupling in two megacities, but the decoupling state is optimized year by year. Finally, based on the results, some suggestions for achieving the sustainable development of urban water use are proposed.

scholarly journals Foreign Trade, FDI and the Upgrading of Regional Industrial Structure in China: Based on Spatial Econometric Model

2020 ◽  
Vol 12 (3) ◽  
pp. 815 ◽  
Author(s):  
Shan-Li Wang ◽  
Feng-Wen Chen ◽  
Bing Liao ◽  
Cuiju Zhang
Keyword(s):  
Foreign Trade ◽  
Industrial Structure ◽  
Econometric Model ◽  
Spillover Effect ◽  
Spatial Effects ◽  
Spatial Agglomeration ◽  
Significance Level ◽  
Spatial Spillover ◽  
Spatial Spillover Effect ◽  
Regional Industrial Structure

The upgrading of industrial structure is the core means of coordinating economic development and environment protection. Its spatial agglomeration can also reduce environmental pollution partly. The upgrading of China’s industrial structure has become an important issue concerned by the whole society. To better understand this issue, based on the provincial data of China (1997–2017), this paper strives to explore the spatial effects of foreign trade and foreign direct investment (FDI) on the upgrading of China’s regional industrial structure by constructing the weight matrix of economic distance, and by introducing the spatial autocorrelation analysis method and spatial panel econometric model. The results show that: 1. The Moran’s I index of China’s import, export, FDI, and industrial structure upgrading has passed the 5% significance level test, displaying remarkable spatial agglomeration characteristics. 2. Foreign trade and FDI are important driving factors to upgrade China’s industrial structure. 3. Foreign trade has a significant spatial spillover effect. Imports and exports can not only promote the upgrading of local industrial structure, but also radiate to other regions, promote or inhibit the development of its industry, and further affect the national data. 4. The spatial spillover effect of FDI is not significant. Finally, some policy suggestions are put forward.

Influence of the Internet on the Economic Growth of the Belt and Road Region

2019 ◽  
Vol 11 (3) ◽  
pp. 248-259
Author(s):  
Yidan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Industrial Structure ◽  
Dynamic Panel Data ◽  
The Internet ◽  
Development Mode ◽  
Belt And Road ◽  
Using Data ◽  
The Impact ◽  
The Belt And Road

As a general technology, the Internet promotes economic growth in various forms. We apply a dynamic panel data approach to measure the impact of the Internet on the gross domestic product (GDP) using data from 65 countries in the Belt and Road Region during the period 1996–2014. The results show that the Internet has a positive and statistically significant effect on the economic growth. These effects strengthen along with the development of the Internet. Many factors such as capital, labor force, technology, industrial structure, international trade, and economic level are essential to explain the differences in the influence of the Internet on the economic growth among the Belt and Road countries. With R-type factor analysis, two factor components can summarize above indicators: one represents the level of economic development and the other represents the level of intensification of the economic development mode. According to the different national situations, the BRI countries must adopt various strategies to actively promote the development of their information industry, and jointly develop the “Digital Silk Road.”

scholarly journals Energy Utilization Efficiency of China Considering Carbon Emissions—Based on Provincial Panel Data

2021 ◽  
Vol 13 (2) ◽  
pp. 877
Author(s):  
Ge Huang ◽  
Wei Pan ◽  
Cheng Hu ◽  
Wu-Lin Pan ◽  
Wan-Qiang Dai
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Panel Data ◽  
Industrial Structure ◽  
Negative Impact ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Effect Model

With the development of the economy, environmental pollution caused by energy consumption has become increasingly prominent. Improving the efficiency of energy utilization is an important way to solve this problem. Firstly, we used a data envelopment analysis (DEA) model to calculate the energy utilization efficiency of China’s provinces and regions from the perspective of environmental constraints, including four inputs—labor force, capital stock, energy consumption and carbon emission—and one output, GDP. Secondly, an entity fixed effect model of panel data was built to investigate the influence of openness, urbanization, marketization and industrial structure on energy utilization efficiency in the process of economic structure change. The results indicate that China’s energy efficiency shows a trend of first stabilizing and then declining from 2007 to 2017. Meanwhile, the comprehensive energy efficiency of all provinces and regions is not very ideal. Only Beijing, Shanghai and Guangdong constitute the forefront of China’s energy efficiency. The lack of pure technical efficiency in most provinces is the main reason for the low comprehensive efficiency, but there are also obvious differences among provinces and regions. In addition, urbanization, openness and industrial structure have a negative impact on energy efficiency, while marketization has a significant positive impact on energy efficiency. Finally, based on the regional differences, some suggestions were put forward to improve China’s energy utilization efficiency.

Global optimization model of regional industrial structure based on conjugate matching cooperative game

2021 ◽  
pp. 002072092098467
Author(s):  
Lin Wang
Keyword(s):  
Economic Development ◽  
Cooperative Game ◽  
Optimization Model ◽  
Industrial Structure ◽  
Animal Husbandry ◽  
Optimization Method ◽  
Theoretical Research ◽  
Agricultural Industry ◽  
Oil Crops ◽  
Regional Industrial Structure

Whether the regional industrial structure reasonably reflects the level of economic development of a region, and a good industrial structure can promote the development of economic cycle. Agricultural production structure is closely related to water resources and grain yield. Optimizing agricultural industrial structure is related to the national economy and people's livelihood, and has a great impact on the economic development of a region. In this paper, an optimization model based on conjugate cooperative game is established to verify the influence on the development of agricultural industrial structure, and propose solutions. The research has good innovation and guidance. In view of the unreasonable regional industrial structure, starting with the fundamental theoretical research of the regional industrial structure adjustment, a conjugate matching cooperative game method is used to establish a regional industrial structure optimization model. The results suggest that: Wheat planting area is increased by 1.1%, maize planting area is decreased by 40.5%, beans planting area is increased by 16.5%, potato planting area is increased by 18.3%, oil crops planting area is decreased by 5.5%, vegetable planting area is increased by 4.2%, and forage planting area is increased by 5.9%. The proportion of food crops: cash crops: forage is adjusted from 50.0: 11.7: 38.3 to 27.1: 28.7: 44.2, and the structure of agriculture and animal husbandry tends to be rationalized. In this paper, the conjugate matching cooperative game method is used to analyze the model, and the optimization method of regional industrial structure is proposed, which can help agricultural industry to improve production and promote the further optimization of industrial structure.

Empirical Analysis of the Influence Factors on Chinese Consumption Expenditures

2011 ◽  
Vol 403-408 ◽  
pp. 358-362
Author(s):  
Feng Ru Xi ◽  
Zhen Zhen Ma
Keyword(s):  
Economic Development ◽  
Interest Rates ◽  
Empirical Analysis ◽  
Industrial Structure ◽  
Econometric Model ◽  
Influence Factors ◽  
Current Situation ◽  
Positive Research ◽  
Consumption Expenditures ◽  
Classical Economics

Combining classical economics theory of consumption, in this paper, we had taken income, industrial structure and interest rates into consideration for their impacts on consumption expenditures in China. By using Eviews 6.0 to build econometric model and conducting positive research, we could conclude that the impacts of the aforementioned three factors on consumption expenditures. The findings of this paper could assist us to clearly understand the main causes of Chinese economic development. Finally, some policies were given according to the current situation in China.

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.

scholarly journals Population, Poverty and Economic Development Nexus: Empirical Study of Some Selected Developing Countries

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Muhammad Sibt e Ali ◽  
Syed Muhammad Faraz Raza ◽  
Syed Muhammad Faraz Raza ◽  
Naeem ul Din ◽  
Syed Zain Ul Abidin
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Panel Data ◽  
Developing Economies ◽  
Negative Impact ◽  
Positive Impact ◽  
Value Added ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Positive Effect

The major objective of this research is to examine the connection among poverty, population growth and its impact on economic development of different developing countries. This research comprised of panel data for period of 2002-2015. The data has been taken World Bank Indicator (WDI) for twenty six developing countries. To find out the results we use panel data. For the analysis of data we have applied Hausman and Fixed Effect Model in this study. Findings of the study indicate that the consumption of government, export, gross capital formation and industrial value added have positive impact on growth of developing economies. The results show that the variation in these variables has positive effect on dependent variables. On the other hand, economic growth increases due to positive changes in this variable. It is seen in this study that population and poverty has negative impact on GDP per capita in selected developing countries.

Empirical Research on Corelation between Energy Resources Constraints and Economic Growth and the Shift of Economic Development Mode

2014 ◽  
Vol 644-650 ◽  
pp. 5908-5912
Author(s):  
Kun Wang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Empirical Research ◽  
Economic Model ◽  
Regional Economy ◽  
Industrial Structure ◽  
Energy Resources ◽  
Negative Effects ◽  
Development Mode ◽  
Coal Price

In the process of developing regional economy, economy is limited a lot by energy resources. In this paper, we use indices of coal price, industrial structure, marketization, and an economic model of correlation between energy resources constraints and economic growth, as well as put forward a proposal for eliminating negative effects of energy resources constraints and speeding up the shift of the economic development mode.

Sign in / Sign up

Export Citation Format

Share Document