The Research on the Relationship between the Industrial Structure and Economic Growth in Henan Province -— Positive Analysis Based on VAR Model

2011 ◽  
pp. 546-554
Author(s):  
Yajing Xu ◽  
Yuanzheng Wang
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Henan Province ◽  
Var Model ◽  
Positive Analysis ◽  
The Relationship

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.

scholarly journals Tourism Industry and Economic Growth Nexus in Beijing, China

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Strong Support ◽  
Growth Index ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Var Model ◽  
Long Run ◽  
The Relationship ◽  
Beijing China

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.

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.

An Analysis of the Effects of Economic Growth, Industrial Structure and Energy Efficiency on Carbon Emission of Jilin Province

2014 ◽  
Vol 675-677 ◽  
pp. 1789-1792 ◽  
Author(s):  
Feng Lian Sun ◽  
Wei Du
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Green Function ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Var Model ◽  
Energy Transformation ◽  
Efficiency Change ◽  
Structure Changes ◽  
Emission Growth

Based on VAR model, the effects of economic growth, industrial structure and energy efficiency on Jilin province’s carbon emission have been analyzed. It is found out that economic growth and energy efficiency change in the opposite direction of carbon emission, while industrial structure changes in the same direction of it, which are main reasons for carbon emission growth. According to this, government should apply its “green function” so as to adjust industrial structure, improve energy transformation and energy efficiency.

Study on the Measurement of Industrial Structure “Sophistication, Rationalization and Ecologicalization” Based on the Dynamic Analysis of Grey Relations — A Case Study of Beijing-Tianjin-Hebei

2020 ◽  
Vol 8 (2) ◽  
pp. 130-147
Author(s):  
Shiyi Yuan ◽  
Xiaopeng Sun ◽  
Weiguo Chen ◽  
Yongwu Li
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Structure Optimization ◽  
Coordinated Development ◽  
Economic Growth Rate ◽  
Dynamic Correlation ◽  
Industrial Structure Optimization ◽  
High Level ◽  
The Relationship

AbstractThe Beijing-Tianjin-Hebei region is one of the regions with the most dynamic economies, highest degrees of openness, strongest innovation capacities and largest populations, as well as an important engine driving China’s economic development. Currently, the development of the Beijing-Tianjin-Hebei region faces many difficulties, including an inefficient distribution of regional functions, imbalance in industrial structure, low sophistication, and serious overburdening of resources and the environment. Promoting the overall coordinated development of the region has become an urgent challenge. In this paper, according to the conventions of industrial structure optimization, the three core indicators of regional industrial structure rationalization, sophistication and ecologicalization are constructed. With the help of the grey dynamic correlation model, the three indicators are coupled with the economic growth rate, and the industrial structure optimization index of the Beijing-Tianjin-Hebei region is comprehensively measured. The study shows that rationalization of the industrial structure in the Beijing-Tianjin-Hebei region is increasing but that this trend is not obvious; sophistication of the industrial structure is relatively high and has also been operating at a high level; however, the overall ecological level of the industrial structure in the Beijing-Tianjin-Hebei region is not high and presents the characteristics of high in the middle and low at both ends. In terms of the relationship between industrial structure and economic growth in the Beijing-Tianjin-Hebei region, ecologicalization of the industrial structure has the greatest influence on economic growth, followed by sophistication of the industrial structure, and rationalization of the industrial structure has the weakest influence.

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