Research on Relationship between Industrial Structure and Economic Growth: Evidence from Henan Province in China

2011 ◽  
Vol 55-57 ◽  
pp. 709-712
Author(s):  
Shu Hui Liu ◽  
Wu Wei Li
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Henan Province ◽  
Primary Industry ◽  
Policy Makers ◽  
Tertiary Industry ◽  
Secondary Industry ◽  
Grey Relational ◽  
The Relationship ◽  
Important Significance

Based on the statistical data during the period from 2000 to 2008 released by Henan Statistical Bureau in China, this paper applied the grey relational analysis to analyze the relationship between industrial structure including primary industry, secondary industry, tertiary industry and economic growth in Henan province in China. After detailed research, some results have been concluded for Henan province, the first of which is the relationship between industrial structure and economic growth during the period from 2000 to 2008 is very close, and the primary industry is the most important causation that brings about economic growth, the second of which is that tertiary industry played lager important significance than secondary industry during the economic growth in Henan province in China. Research results could provide valuable information for policy makers in government in their efforts to make appropriate economic polices.

Research on the Three Industrial Structure and Economic Growth Empirical Based on the Cobb - Douglas Production Function

2013 ◽  
Vol 869-870 ◽  
pp. 706-709 ◽  
Author(s):  
Qun Wei Wang ◽  
Gang Qiang Cha ◽  
Ji Chao Jia
Keyword(s):  
Economic Growth ◽  
Production Function ◽  
Industrial Structure ◽  
Developed Countries ◽  
Primary Industry ◽  
Industrial Structures ◽  
Secondary Industry ◽  
The Relationship ◽  
Stable Development ◽  
Douglas Production Function

In this paper, the deformation of Cobb-Douglas production function was used to separate the Variable term, which the proportion of each industry affect economic growth, and further introduction of three industrial structure variables. The relationship between three industrial structures for 2001-2012 in Shaanxi and economic growth was analysis by the least squares estimation, the influence ratios, which industrial output value of share of GDP changes on effects of changes in economic growth can be acquired. The results showed that the adjustment of three industrial structure in Shaanxi conducive to economic growth, which meet the development of the three industrial structure in developed countries and consistent with the law in line with economic growth, namely a stable development of primary industry, optimizing the development of secondary industry, vigorous development of the tertiary industry.

On the Relationship between Economic Growth and Energy Consumption in Beijing

2014 ◽  
Vol 962-965 ◽  
pp. 2165-2169
Author(s):  
Feng Yun Wang ◽  
Bing Hua Chen ◽  
Jin Ru Fan
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Energy Industry ◽  
Counter Measures ◽  
Tertiary Industry ◽  
Secondary Industry ◽  
The Relationship

This paper studies the causal relationship between energy consumption and economic growth in Beijing by using econometric method from 1980 to 2012, and then establishes the model between the energy consumption of three industries and economic growth to study the influence of the secondary industry and tertiary industry energy consumption on economic growth in Beijing. Finally, we put forward counter measures and suggestions on sustainable development of Beijing's economy and energy industry.

scholarly journals Analisis pengaruh investasi industri sektor primer, sektor sekunder dan sektor tersier terhadap pertumbuhan ekonomi di Provinsi Jambi

2019 ◽  
Vol 14 (2) ◽  
pp. 77-82
Author(s):  
Nurhayani Nurhayani
Keyword(s):  
Economic Growth ◽  
Regression Result ◽  
Research Model ◽  
Primary Industry ◽  
Tertiary Sector ◽  
Tertiary Industry ◽  
Industry Sector ◽  
Secondary Industry ◽  
Industry Investment ◽  
Industry Sectors

The aims of this research are to determine the economic growth in Jambi Province and the factors that influence it. The variables of this research are economic growth, investment, primary industry sector investment, secondary industry sector investment, and tertiary industry sector investment as research variables. The research model is multiple linear analysis to determine the effect of primary, secondary and tertiary sector industry investment on economic growth in Jambi Province. Based on the regression result, only the research variable of realization of primary industry sector investment, which significantly influences economic growth in Jambi Province. While investment in secondary and tertiary industry sectors did not significantly affect economic growth in Jambi Province.

scholarly journals The Effect of Air Pollution on the Healthy Growth of Cities: An Empirical Study of the Beijing-Tianjin-Hebei Region

2020 ◽  
Vol 10 (11) ◽  
pp. 3699
Author(s):  
Fan Zhang ◽  
Ning Xu ◽  
Lishuang Wang ◽  
Qiu Tan
Keyword(s):  
Air Pollution ◽  
Industrial Development ◽  
Environmental Governance ◽  
Industrial Structure ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Tertiary Industry ◽  
Secondary Industry ◽  
The Relationship ◽  
Pm2.5 Concentration

In the context of sustainable development, air pollution poses challenges to the adjustment of the industrial structure in the Beijing-Tianjin-Hebei region. In order to explore the relationship between air pollution and urban industrial development, this paper uses a simultaneous equation model to empirically analyze the relationship between PM2.5 concentration and industrial development based on panel data from 2000 to 2017 on the Beijing-Tianjin-Hebei region. The empirical results show that there is a two-way causal relationship between industrial development and air pollution. Secondary industry upgrades to tertiary industry, which will help improve the air quality in the Beijing-Tianjin-Hebei region. At the same time, air pollution has a significant adverse effect on the development of secondary industry and tertiary industry. An average increase of 1% in PM2.5 concentration will cause the proportion of secondary industry to increase by about 0.08% to 0.28%, and the proportion of tertiary industry to decrease by about 0.13% to 0.31%. Based on the results of the empirical model, this paper puts forward policy recommendations for environmental governance in the Beijing-Tianjin-Hebei region, aiming to achieving healthy development of the Beijing-Tianjin-Hebei region.

scholarly journals Empirical Analysis on the Relationship Between Tertiary Industry Structure and Economic Growth Based on Multiple Regression — A Case Study of Henan Province

2021 ◽  
Vol 235 ◽  
pp. 02019
Author(s):  
Yuan Lu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Multiple Regression ◽  
Multiple Regression Model ◽  
Henan Province ◽  
Tertiary Industry ◽  
Transportation Security ◽  
The Relationship

The role of the tertiary industry in economic development is more and more obvious. This paper, taking Henan Province as an example, explores the relationship between the internal structure of the tertiary industry and economic growth by building a multiple regression model. The study found that total retail sales of consumer goods and freight transportation volume have significant impact on economic growth. Henan Province should create a good consumption environment, continue to play the role of consumption driving economic growth. At the same time, the authority should give full play to geographical advantages, pay attention to the construction of transportation infrastructure, and provide transportation security for economic development.

scholarly journals The Impact of the Interaction of Financial and Industrial Structure on Economic Growth – Evidence from China

2021 ◽  
Vol 251 ◽  
pp. 01101
Author(s):  
Yiqian Tan ◽  
Fan Jiang
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Financial Structure ◽  
Growth Speed ◽  
Matching Effect ◽  
Industrial Upgrading ◽  
Slowing Down ◽  
Using Data ◽  
The Impact ◽  
The Relationship

In recent years, China’s economic growth speed has been slowing down, leading to the problems of overcapacity and unbalanced regional economic development, and the mismatch between industrial and financial structure is becoming intense. This paper, starting with the relationship among economic growth, industrial structure and financial structure, summarizes the research by the former scholars. On this basis, by using data of 31 provincial panel data in China from 2007 to 2016, the article aims to find out the relationship between the industrial structure and economic growth, the relationship between the financial structure and economic growth and the relationship between the interaction of financial and industrial structure and economic growth. Finally, the conclusions of this paper are obtained that the interaction between the financial structure and the industrial structure can promote the economic growth significantly. However, the matching effect of the financial structure and industrial structure in China has not been completely formed, and the industrial upgrading should be guided to be structurally reformed through the policy.

scholarly journals The Relationship Between Government Expenditures on Education and Economic Growth: The Case of Azerbaijan

2020 ◽  
Vol 11 (1) ◽  
pp. 195
Author(s):  
Shahriyar Mukhtarov ◽  
Ilkin Mammadov ◽  
Sugra Humbatova
Keyword(s):  
Economic Growth ◽  
Total Population ◽  
Capital Formation ◽  
Government Expenditures ◽  
Educational Investment ◽  
Concerted Effort ◽  
Policy Makers ◽  
Long Run ◽  
The Impact ◽  
The Relationship

This paper investigates the impact of government’s education expenditures, gross capital formation and total population on economic growth in Azerbaijan during 1995-2018 using the different cointegration methods, namely, ARDLBT, DOLS, and CCR. The results from cointegration methods approve presence of long-run relationship among the variables. The estimation results show that government’s expenditures on education, gross capital formation and total population have a positive and statistically significant impact on economic growth in the long-run. The paper concludes that a concerted effort should be made by policy makers to increase educational investment in order to escelate economic growth.

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.

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