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.

scholarly journals The impacts of social capital, migration range and regional economic development level on the internal migrants' utilization of public health services

2021 ◽  
Author(s):  
Zhen Yang ◽  
Chenghua Jiang
Keyword(s):  
Public Health ◽  
Social Capital ◽  
Economic Development ◽  
Health Services ◽  
Regional Economic Development ◽  
Public Health Services ◽  
Regional Economic ◽  
Development Level ◽  
Internal Migrants ◽  
The Impact

Abstract Background It has been a risk of the internal migrants' (IMs') health that their utilization of National Essential Public Health Services (NEPHS) was inadequate. Studies have analyzed the impact of migration range (MR) or regional economic development level (REDL) on the IMs' utilization of NEPHS, but no studies have explored the interaction of MR and REDL on it. Methods Data from the China Migrant Dynamic Survey of 2017, involving 122656 IMs. Per capita GDP was set as the indicator for REDL, and all provinces were divided into three groups according to REDL: affluent, medium and poor. The MR was divided into inter-province and intra-province, and social capital (SC) was distinguished into cognitive (CSC) and structural social capital (SSC). Awareness of NEPHS (ANEPHS) and establishment of health record (EHR) were selected as indexes of NEPHS utilization. Then we used multiple line charts and hierarchical logistic regression to investigate the interaction of MR, REDL and SC on NEPHS utilization. Results (1) The socioeconomic status (SES) and social capital (SC) of the inter-provincial IMs were significantly lower than those of the intra-provincial IMs, and the gap was most prominent in the affluent areas. (2) From low to high, the NEPHS utilization of inter-provincial IMs was ranked as affluent, medium and poor, while the corresponding order of intra-provincial IMs was medium, poor and affluent areas. (3) SC could significantly promote the IMs' utilization of NEPHS, but there was a gap between the inter-provincial and intra-provincial IMs, and the gap was the largest in the affluent areas. Conclution: The IMs' SES, SC and NEPHS utilization were influenced by MR and REDL. The gaps of SES, SC and NEPHS utilization between the inter-provincial and the intra-provincial IMs in affluent areas were much larger than that in medium and poor areas. The government should pay more attention to the inter-provincial IMs in affluent areas.

Should Attitudinal Views toward Innovation Development Play a Role in Policy in Peripheral EU Regions?: New Evidence from Vouchers Program in Northern Ireland

2018 ◽  
Vol 6 (2) ◽  
pp. 121-137
Author(s):  
Sean M. McDonald ◽  
Remi C. Claire ◽  
Alastair H. McPherson
Keyword(s):  
Economic Development ◽  
Northern Ireland ◽  
Policy Design ◽  
Regional Economic Development ◽  
Innovation Development ◽  
Regional Economic ◽  
Eu Regions ◽  
Future Policy ◽  
The Impact ◽  
New Evidence

The impact and effectiveness of policies to support collaboration for Research & Development (R&D) and Innovation is critical to determining the success of regional economic development. (O’Kane, 2008) The purpose of this paper is to evaluate the level of success of the Innovation Vouchers Program operated by Invest Northern Ireland (Invest NI) from 2009 to 2013 and address if attitudinal views towards innovation development should play in a role in future policy design in peripheral EU regions. 

scholarly journals The Impact of Economic Specialization on Regional Economic Development in the European Union: Insights for Formation of Smart Specialization Strategy

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 76
Author(s):  
Giedrė Dzemydaitė
Keyword(s):  
Economic Development ◽  
Development Strategy ◽  
Regional Economic Development ◽  
The European Union ◽  
Location Quotient ◽  
Regional Economic ◽  
Clear Cut ◽  
Smart Specialization ◽  
Economic Specialization ◽  
The Impact

The smart specialization concept was implemented in the EU in 2014, stating that regions have to specify specialization areas for development of innovations. Economic specialization reveals a comparative advantage in that field. However, there are different arguments linking specialization to economic development. This study analyzes these arguments and aims to investigate the impact of economic specialization on regional economic development and to give insights into identifying prospective areas in regional economies. A panel fixed effect estimation of industry-level regional data suggests that economic specialization in broader regional employment, called relative specialization, is ambiguously associated with economic development. Our findings suggest that neither economic specialization nor economic diversity are a clear-cut solution for ensuring economic growth. Economic structure in EU regions differs, and there is no one answer for which approach is better for economic development. Specialization measures, particularly the location quotient, cannot fully capture the dynamics in the industry structure that could be essential for formation of regional development strategy.

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.

Regional Economic Development in The Context of the COVID-19 Pandemic and the Economic Crisis

2021 ◽  
pp. 99-107
Author(s):  
Olha A. Lukash ◽  
Yuriy M. Derev`yanko ◽  
Dmytro V. Kozlov ◽  
Anna I. Mukorez
Keyword(s):  
Economic Development ◽  
Economic Crisis ◽  
Open Data ◽  
Regional Economic Development ◽  
Business Environment ◽  
The State ◽  
Retail Trade ◽  
Regional Economic ◽  
Current Economic Crisis ◽  
The Impact

It is important to analyze the manifestations of the crisis at the regional level, which allows both regional (local) and national authorities to develop effective support tools. From this point of view, it is important to clearly understand which aspects of economic development the crisis has a key impact on, and whether such impact is uniform across different sectors and areas of economic development. Much attention is paid to the problem of assessing the state of the business environment. However, the main disadvantage of most of them is that they are sometimes difficult to conduct in terms of operational analysis and availability of open data. The object of research is the processes of studying the state of the region's economy. The subject of the research is the impact of the COVID-19 pandemic and the current economic crisis on the region's economies. In the process of scientific research, we solved such tasks: identification of key problematic factors in relation to regional economic development, including caused by pandemic and lockdown; reliable, freely available and up-to-date sources of statistical information on regional economic development are identified; a comprehensive method of generalizing the impact of the COVID-19 pandemic and the economic crisis on regional economic development. We proposed to analyze the impact of the COVID-19 pandemic and the current economic crisis on the economic development of the regions of Ukraine on the example of Sumy region. The analysis is based on open data from static authorities, which periodically publish monthly and quarterly information. The study confirmed the serious negative impact of lockdown and pandemic on the economic development of the region in a number of key indicators: the index of industrial production, the volume of industrial products sold, freight turnover and passenger turnover. At the same time, we observe a generally neutral impact of the crisis on such regional indicators of economic development as the volume of commodity export and import transactions and the stability of retail trade.

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