scholarly journals Regression Analysis of Regional Economic Development Level in Jilin Province and Its Influencing Factor

2015 ◽  
Vol 04 (02) ◽  
pp. 29-33
Author(s):  
宇静 杜
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Influencing Factor ◽  
Regional Economic Development ◽  
Jilin Province ◽  
Regional Economic ◽  
Development Level

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 The Impact of Industrialization on The Regional Economic Development and Community Welfare

2017 ◽  
Vol 6 (2) ◽  
pp. 231-246
Author(s):  
Sutikno Sutikno ◽  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Economic Growth ◽  
Monte Carlo Simulation ◽  
Economic Development ◽  
Regression Analysis ◽  
Regional Economic Development ◽  
Research Setting ◽  
Regional Economic ◽  
Confirmatory Factor ◽  
Simulation Results ◽  
The Impact

This study was aimed to determine the impact of industrialization on the regional economic development. Gresik regency was chosen as the research setting for it is one of largest industrial areas in East Java. The analysis instruments used were: First, the regression analysis, to determine the impact of industrialization on economic growth, unemployment, and poverty. Second, Confirmatory Factor Analysis (CFA), it was used to investigate the impact of industrialization on the community welfare. Third, Monte Carlo simulation that used to formulate a recommendation. The result showed that the industrialization in Gresik still has not been able to give extensive significant impact for the community in Gresik regency and its existence can only be enjoyed by nearby residents. Based on the simulation results, showed that the strong commitment between Gresik local government and the industry in order to address the problem of unemployment is very necessary due to its’ greatest impact.DOI: 10.15408/sjie.v6i2.5334

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.

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.

Generalized Index of Regional Socio-economic Consumption Level of Water Resource

2019 ◽  
Vol 69 (2) ◽  
pp. 113-121
Author(s):  
Zhiwei Qi ◽  
Changlai Xiao ◽  
Bo Zhang ◽  
Xiujuan Liang
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Resource Utilization ◽  
Water Resource ◽  
Regional Economic Development ◽  
Transitional Period ◽  
Regional Economic ◽  
Consumption Level ◽  
Development Level ◽  
Water Resource Utilization

Abstract Traditional indicators of water resource utilization degree and efficiency cannot show the stressed relationship between the level of water resource utilization and economic development level in a region. Therefore, this manuscript proposes a generalized index of socio-economic consumption level of water resources. The definition of the index is the ratio of water consumption change for GDP growth per unit, and the potential of water resources exploitation and utilization. The theoretical curve of this index has a rise period, a high value period, and a decline period, which correspond to the take-off period, bottleneck period and maturity period of the regional economic development, respectively. This index can help us find the turning point of water resources restricting economy. The indexes of each year are calculated respectively from 1994 to 2010 of Beijing and Hebei province of China as example. The result shows that both two provinces are in the transitional period from high value period to the decline period. This example shows the universality of Generalized Index of Regional Socio-economic Consumption Level of Water Resources. Setting a target Generalized Index of Regional Socio-economic Consumption Level of Water Resources is consistent with the sustainable development level of regional economy which could promote both regional economic development and water resources protection.

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