scholarly journals Research and analysis of coupling coordination degree between tourism industry and regional economy in Wuhu City

2021 ◽  
Vol 292 ◽  
pp. 03002
Author(s):  
Li Guanghong ◽  
Hu Yuan

Taking Wuhu City of Anhui Province as an example, this paper constructs two evaluation index systems of tourism industry and regional economic development respectively, and studies the coupling coordination situation and influencing factors of Wuhu City from 2015 to 2019 by using the coupling coordination degree model. The research shows that the comprehensive development level of Wuhu tourism industry and regional economy system has been steadily improved year by year in the past five years. Coupling degree C showed an up-down trend, but was generally at a high level. The comprehensive development level T of the two systems is also in an increasing trend. By 2019, the coupling coordination degree of the tourism-industry system in Wuhu has been upgraded from good coordination to high quality coordination. In the future development process, Wuhu City should continue to promote GDP growth on the basis of the current good development situation, and realize the win-win situation between tourism and regional economic development.

2019 ◽  
Vol 131 ◽  
pp. 01097
Author(s):  
Wei Li ◽  
Yi Li ◽  
Ya fei Liu ◽  
Sheng xi Ding

This paper according to the characteristics of Qinghai Province System, constructs the evaluation index of informatization and regional economic development level, and the relationship between informatization and regional economic development in Qinghai Province is analyzed and calculated emphatically based on gray correlation method. The results show that the influence of different indicators on the regional economic development of Qinghai Province is different. Finally, the author puts forward some suggestions on the coordinated development of informatization construction and regional economy in Qinghai Province.


2021 ◽  
Vol 236 ◽  
pp. 03015
Author(s):  
Yatian Liu ◽  
Shengxi Ding

Firstly, this article uses the Entropy method to calculate the weights of economic development and ecological environment indicators in the eastern urban agglomeration of Qinghai Province from 2005 to 2019. Secondly, this article uses the calculated weights and linear weighting functions to construct evaluation models for economic development and ecological environment development, respectively. The results show that the comprehensive development level of the economic development in the eastern urban agglomeration of Qinghai Province cities is gradually rising, and the comprehensive development level of the ecological environment fluctuates slightly but the overall development trend is increasing. Then, using the Environmental-Economic Coordination degree evaluation model, quantitative analysis and evaluation of the Environmental-Economic system coordination degree, it is found that the coordinated development of the economic and ecological environment of the eastern urban agglomeration in Qinghai Province is relatively well. Finally, it analysis and proposes countermeasures and suggestions to promote the coordinated development of the economic and environmental system of the eastern urban agglomeration in Qinghai Province.


2011 ◽  
Vol 361-363 ◽  
pp. 1684-1688
Author(s):  
Chang Fu Huang ◽  
Yuan Xia

Urban rail transit plays a role of activating and leading regional economic development. It influences the spatial distribution of urban agglomeration and the progress of regional economic integration. It is a kind of virtuously cycled interactive relationship between regional economic development and regional rail transit. This paper analyzes the effect of urban rail transit construction project on regional economy based on the economic benefits arisen from it. The research results show that China’s urban rail transit construction and regional economy can not realize balanced development unless the fact that the relationship between urban rail transit planning and regional economic development can be well coordinated, and meanwhile, the construction scale and service level of different phases of rail transit can be confirmed according to urban economic development level.


2013 ◽  
Vol 807-809 ◽  
pp. 1903-1908 ◽  
Author(s):  
Liang Tang ◽  
Hui Cheng ◽  
Ge Qu

How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.


2021 ◽  
Vol Volume II (December 2021) ◽  
pp. 16-29
Author(s):  
Mihretab G. Ghebrezgabher ◽  
Temesghen E. Sereke

Assessment the trend of regional economic development is significant to address the economic situation and developmental policy. This study assesses the regional economic development in Central Asia since 1992. Several developmental indicators were applied. The results demonstrated that the regional economy was gradually growing. Relatively, Kazakhstan, Uzbekistan and Turkmenistan enjoyed a rapid economic growth. Production of oil increased in Kazakhstan as exporting rose to China whereas declined in Uzbekistan – shifted to natural gas. Central Asia is moving gradually toward industrial and trade economic sector. Nevertheless, enormous natural resources were exported from Central Asia to China and Russia, and strong economic relationship was established with Europe, India and Algeria. Therefore, this research is significant for general understanding in economic growth of Central Asia, and it may be helpful for further studies.


2021 ◽  
Vol 13 (16) ◽  
pp. 9399
Author(s):  
Xianghong Zhou ◽  
Weiwei Chen

Modern tourism plays an increasingly important economic role in regional development. However, in the practice of regional economic development, there is often a lag in economic development where the tourism industry is prosperous. We explored the potential impact of the development level of informatization on the coupling and coordination relationship between the tourism industry and regional economic development. Using provincial panel data from 2008 to 2017, we constructed a spatial Dubin model for empirical research. We established an evaluation model for the coupling and coordination relationship between tourism and regional economic development based on the establishment of evaluation models and indicator systems for informatization, tourism, and regional economic development. The results show that improvements to informatization generally promoted the coupling and coordination of tourism and regional economic development. Informatization not only improved the coupling and coordination of tourism and economic development in the region but also had significant spatial spillover effects. In addition to the influencing factors at the information level, the advantages of tourism resources and the level of economic development on the whole also helped to improve the degree of coupling and coordination, while the widening of the income gap between urban and rural areas hindered coordinated development. Further discussion shows that informatization will affect the degree of coupling and coordination between the tourism industry and regional economic development by influencing the level of institutional environment. The findings highlight the need to focus on diversified development of the regional tourism industry and economy while improving the level of informatization and strengthening cross-regional cooperation during informatization. The conclusions contribute to improving the coordinated development of regional tourism and regional economy and provide a scientific basis for the development of informatization and the formulation of tourism and economic policies.


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