Estimating Provincial Economic Development Level of China Using DMSP/OLS Nighttime Light Satellite Imagery

2013 ◽  
Vol 807-809 ◽  
pp. 1903-1908 ◽  
Author(s):  
Liang Tang ◽  
Hui Cheng ◽  
Ge Qu
Keyword(s):  
Economic Development ◽  
Satellite Imagery ◽  
Regional Economic Development ◽  
Coefficient Of Determination ◽  
Regional Economic ◽  
Development Level ◽  
Nighttime Light Data ◽  
Cubic Model ◽  
Nighttime Light ◽  
Development Levels

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.

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
Keyword(s):  
Economic Development ◽  
Regional Economy ◽  
Regional Economic Development ◽  
Tourism Industry ◽  
Regional Economic ◽  
Development Level ◽  
Comprehensive Development ◽  
Evaluation Index Systems ◽  
High Level ◽  
Coordination Degree

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.

A Study on the Coupling Coordination between Forestry Production Efficiency and Regional Economic Development in China

2021 ◽  
Vol 71 (1) ◽  
pp. 11-19
Author(s):  
Dandan Gao ◽  
Shunlong Li
Keyword(s):  
Economic Development ◽  
Production Efficiency ◽  
Regional Economic Development ◽  
Practical Significance ◽  
Entropy Weight ◽  
Regional Economic ◽  
Provincial Level ◽  
Development Levels ◽  
Forestry Production ◽  
Production Efficiencies

Abstract Forestry production is one of the fundamental industries of the national economy, and enhancing production efficiency can aid in balancing the contradiction between the economic growth of forestry and forest resource conservation. Therefore, studying the coupling coordination between forestry production efficiency and regional economic development is of great practical significance for obtaining the development philosophy of green and circular economies and implementing supply-side structural reform in forestry. In this study, the forestry production efficiencies and economic development levels of 31 provincial-level administrative regions of China during 2009 to 2018 are estimated using the super efficiency slacks-based measure model and the entropy weight method. Additionally, the coupling coordination and development trends of forestry production efficiencies and regional economic development levels are investigated by means of the coupling coordination model and GM (1,1) model. Research findings suggest that forestry production efficiencies and economic development levels of 31 provincial-level administrative regions in China maintained steadily growing trends during 2009 to 2018; however, there was middle to low-level coupling coordination between regions. Such coupling coordination remains to be improved because it indicated a spatial pattern of high in the east and south and low in the west and north. To conclude, some suggestions for promoting sound and coordinated interactions between forestry production efficiency and regional economic development are offered.

scholarly journals Empirical research on the relationship between Informatization and Regional Economic Development of Qinghai Province

2019 ◽  
Vol 131 ◽  
pp. 01097
Author(s):  
Wei Li ◽  
Yi Li ◽  
Ya fei Liu ◽  
Sheng xi Ding
Keyword(s):  
Economic Development ◽  
Regional Economy ◽  
Correlation Method ◽  
Regional Economic Development ◽  
Coordinated Development ◽  
Regional Economic ◽  
Qinghai Province ◽  
Development Level ◽  
Gray Correlation ◽  
The Relationship

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.

scholarly journals Assessing the Impact of the Built-Up Environment on Nighttime Lights in China

2019 ◽  
Vol 11 (14) ◽  
pp. 1712 ◽  
Author(s):  
Cheng Wang ◽  
Haiming Qin ◽  
Kaiguang Zhao ◽  
Pinliang Dong ◽  
Xuebo Yang ◽  
...  
Keyword(s):  
Economic Development ◽  
Surface Area ◽  
Regional Economic Development ◽  
Regional Economic ◽  
Area Index ◽  
Building Height ◽  
Vegetation Fraction ◽  
Development Level ◽  
Nighttime Lights ◽  
The Impact

Figuring out the effect of the built-up environment on artificial light at night is essential for better understanding nighttime luminosity in both socioeconomic and ecological perspectives. However, there are few studies linking artificial surface properties to nighttime light (NTL). This study uses a statistical method to investigate effects of construction region environments on nighttime brightness and its variation with building height and regional economic development level. First, we extracted footprint-level target heights from Geoscience Laser Altimeter System (GLAS) waveform light detection and ranging (LiDAR) data. Then, we proposed a set of built-up environment properties, including building coverage, vegetation fraction, building height, and surface-area index, and then extracted these properties from GLAS-derived height, GlobeLand30 land-cover data, and DMSP/OLS radiance-calibrated NTL data. Next, the effects of non-building areas on NTL data were removed based on a supervised method. Finally, linear regression analyses were conducted to analyze the relationships between nighttime lights and built-up environment properties. Results showed that building coverage and vegetation fraction have weak correlations with nighttime lights (R2 < 0.2), building height has a moderate correlation with nighttime lights (R2 = 0.48), and surface-area index has a significant correlation with nighttime lights (R2 = 0.64). The results suggest that surface-area index is a more reasonable measure for estimating light number and intensity of NTL because it takes into account both building coverage and height, i.e., building surface area. Meanwhile, building height contributed to nighttime lights greater than building coverage. Further analysis showed the correlation between NTL and surface-area index becomes stronger with the increase of building height, while it is the weakest when the regional economic development level is the highest. In conclusion, these results can help us better understand the determinants of nighttime lights.

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