Study on disparity of regional economic development based on geoinformatic Tupu and GWR model: a case of growth of GDP per capita in China from 1999 to 2003

2007 ◽  
Author(s):  
Feixue Li ◽  
Manchun Li ◽  
Jian Liang
Keyword(s):  
Economic Development ◽  
Regional Economic Development ◽  
Gdp Per Capita ◽  
Regional Economic ◽  
Per Capita ◽  
Gwr Model

Energy consumption flow and regional economic development: evidence from 25 economies

2017 ◽  
Vol 12 (1) ◽  
pp. 96-118 ◽  
Author(s):  
Bao-jun Tang ◽  
Pi-qin Gong ◽  
Yu-chong Xiao ◽  
Huai-yu Wang
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Energy Consumption ◽  
Negative Relationship ◽  
Regional Economic Development ◽  
Embodied Energy ◽  
Gdp Per Capita ◽  
Regional Economic ◽  
Content Type ◽  
Per Capita

Purpose This paper aims to figure out the relationship between energy consumption flow from a new perspective of embodied energy inventory index (EEII) and regional economic growth. Design/methodology/approach The input-output approach has been applied to calculate embodied energy inventory (EEI) and EEII using the data of 25 economies. Meanwhile, cluster analysis and panel data modeling were applied to carry out detailed research. Findings The results of cluster analysis show that there is a roughly negative relationship between EEII and gross domestic product (GDP) per capita, although there are some exceptions, such as Russia and Taiwan (Province of China). Panel data model results provide further evidence that there is a negative relationship between EEII and GDP per capita. Population is an important productive factor in the regional economic development. The study showed a positive relationship between EEII and population. Therefore, energy consumption flow is closely related to regional economic development. Originality/value The value of this paper is to use EEI and EEII to comprehensively clarify the energy consumption flow. The advantage of EEII is that it can reflect the energy embodied in fixed assets and infrastructure.

Interplay of regional economic development, income, gender and type 2 diabetes: evidence from half a million Chinese

2019 ◽  
Vol 73 (9) ◽  
pp. 867-873 ◽  
Author(s):  
Kun Tang ◽  
Hanyu Wang ◽  
Yuning Liu ◽  
Shi Hui Tan
Keyword(s):  
Type 2 Diabetes ◽  
Economic Development ◽  
Household Income ◽  
Regional Economic Development ◽  
Population Based ◽  
Gdp Per Capita ◽  
Regional Economic ◽  
Per Capita ◽  
And Gender

BackgroundFollowing the rapid economic growth, there has been a strong disparity of regional development and personal income in China. Type 2 diabetes mellitus (T2DM) may be influenced by socioeconomic status at both the societal and individual levels. This study examines the associations of regional economic development, household income and gender on T2DM.MethodData from the baseline of a Chinese population-based study of approximately 500 000 adults from 10 areas were analysed. Clinically identified and screen-detected T2DM were examined. Regional economic development was indicated by gross domestic product (GDP) per capita. A logistic regression-based method was used to calculate the adjusted prevalence.ResultThe prevalence of T2DM was significantly higher in medium GDP per capita areas for both males (7.04%, 95% CI 6.82% to 7.26%) and females (6.04%, 95% CI 5.86% to 6.22%) compared with areas of other levels of economic development. The different shapes of associations between household income and T2DM prevalence were observed in different GDP per capita areas. There were strong gender differences in terms of both the trend and strength of association between household income and T2DM prevalence.ConclusionsFindings from this study underscore the importance of economic conditions and gender difference on T2DM. It suggests that strategies for diabetes prevention should address social–economic differences besides a person-centred approach.

Environmental Kuznets Curve, Flood Disaster of China and Stormwater Resource Reuse

2014 ◽  
Vol 522-524 ◽  
pp. 907-910
Author(s):  
Chang Fu Huang ◽  
Jing Zhou
Keyword(s):  
Economic Development ◽  
Environmental Kuznets Curve ◽  
Regional Economic Development ◽  
Flood Disaster ◽  
Kuznets Curve ◽  
Regional Economic ◽  
Per Capita Gdp ◽  
Disaster Area ◽  
Drought Disaster ◽  
Per Capita

We analyzed the relationship between the national flood disaster area, drought disaster area , total disaster area and per capita GDP from 1970-2011 in this study, which use the theory of Environmental Kuznets Curve (EKC) and regression analysis model. The study showed that drought disaster area and per capita GDP showed a typical "U" shaped of Kuznets curve, flood disaster area and per capita GDP showed "inverted U + U" typed of Kuznets curve. From China's current economic situation, flood is an important factor to affect Chinas economic development, especially the regional economic development. Thinking about how to implement stromwater resource reuse from a strategic perspective is an important issue of land resource utilization and regional economic development. So we propose a strategic concept based on the empirical analysis.

Economic Development of a Selected Region

2013 ◽  
Vol 4 (4) ◽  
pp. 45-65
Author(s):  
Renáta Myšková ◽  
Ivana Linkeová
Keyword(s):  
Economic Development ◽  
Czech Republic ◽  
Economic Performance ◽  
Input Data ◽  
Regional Economic Development ◽  
Microsoft Excel ◽  
Regional Economic ◽  
The Czech Republic ◽  
Economic Practice ◽  
Per Capita

Macro-economic aspects and further factors influence the economic development of a region. Two new indicators (Index of Citizens' Financial Provision and Risk of Regional Economic Development) are introduced in this paper. These indicators enable people to evaluate the financial provision of citizens and the economic risk of a region in more detail. To demonstrate a function of these new indicators in economic practice, the authors focus on the selected region (Vysocina, Czech Republic) due to the following specific characteristics. Economic performance of the Vysocina Region in comparison with other regions of the Czech Republic is below the average. When calculating GDP per capita the Vysocina Region ranks eleventh position from fourteen regions in the Czech Republic. The input data for examples given in this paper are based from the Czech Statistical Office. Mathematical modeling of the new developed indicators has been created in Microsoft Excel program. To design Indicator Risk of Regional Economic Development the fuzzy sets logic has been used.

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. 

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