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.

Can policy makers count with positive impact of entrepreneurship on economic development of the Czech regions?

2017 ◽  
Vol 9 (3) ◽  
pp. 286-299 ◽  
Author(s):  
Ondřej Dvouletý
Keyword(s):  
Economic Development ◽  
Fixed Effects ◽  
Positive Impact ◽  
Negative Relationship ◽  
Policy Implications ◽  
Entrepreneurial Activity ◽  
Gdp Per Capita ◽  
Content Type ◽  
Per Capita ◽  
The Impact

Purpose The purpose of the present study is to empirically investigate the impact of the newly established entrepreneurial activity on economic development of the Czech NUTS 3 regions during the period of years 2003-2015. Design/methodology/approach An econometric approach was used to validate the stated hypotheses assuming a positive relationship between the new entrepreneurial activity and regional economic growth and a negative relationship between the new entrepreneurial activity and unemployment rate. For the methods, regression models with fixed effects were estimated on the panel that included 13 Czech regions, covering the period of years 2003-2015. The new entrepreneurial activity was classified into two forms – rate of newly established self-employed set-ups per capita and rate of newly established business companies and partnership set-ups per capita. Findings Different impacts of newly established business companies and the self-employed were found on real gross domestic product (GDP) per capita. Only the higher rates of newly established business companies and partnership were associated with higher levels of GDP per capita in the Czech regions, and no impact was found for the rate of new self-employed set-ups. Nevertheless, both forms of newly established entrepreneurial activity were associated with lower unemployment rates in the Czech regions; however, the impact of newly established business companies was significantly higher. The obtained results have several policy implications, which are discussed in the present paper. Practical implications Support of entrepreneurship in the Czech regions may improve the situation on the local labour markets and may deliver new job opportunities through the newly established enterprises. The Czech entrepreneurship policies focused on the growth of GDP and economic boom should be oriented more on the support of high-growth enterprises (unicorns). Originality/value The empirical analysis was conducted on the basis of the research gap in the studies related to the impact of the newly established entrepreneurial activity on the economic development of the Czech regions. Obtained results have several policy implications, which are discussed in the present paper.

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.

scholarly journals The Industry Cluster Approach for Tourism Development of Central Vietnam

2016 ◽  
Vol 11 (5) ◽  
pp. 167 ◽  
Author(s):  
Truong Hong Trinh
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Value Chain ◽  
Regional Economic Development ◽  
Production Network ◽  
Economic Activities ◽  
Industry Cluster ◽  
Location Quotient ◽  
Regional Economic ◽  
Central Vietnam

Industry cluster is frequently mentioned in the literature of the regional economic development, but there are a few studies about identifying competitive clusters in the region. For this reason, the paper approaches cluster analysis for identifying competitive clusters in Central Vietnam. From location quotient and shift-share analysis, the result reveals that tourism cluster is a competitive cluster for the regional economic development. Then, the study develops the tourism cluster in central Vietnam that includes tourism cluster profile, tourism production network, and tourism value chain. Moreover, the study result provides a basic framework for industry cluster analysis that help policy makers and economic developers to understand economic activities, characteristics of competitive cluster and supranational characters in the regional economy, then deliver strategy and policies for tourism cluster development of Central Vietnam.

Energy consumption and economic development in Guangdong, China: Distribution, relationship and causes

2021 ◽  
Author(s):  
Mengmeng Hu ◽  
Yafei Wang ◽  
Beicheng Xia ◽  
Guohe Huang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Intensity ◽  
Hot Spot ◽  
Generalized Method Of Moments ◽  
Gdp Per Capita ◽  
Per Capita ◽  
The Pearl River ◽  
Panel Vector Autoregression

Abstract Analysing the relationship between energy consumption and economic growth is essential to achieve the goal of sustainable development. We employ hot spot analysis to discover the spatial agglomeration of GDP per capita and energy intensity in Guangdong, China, from 2005–2018. Furthermore, panel vector autoregression coupled with a system generalized method of moments is performed to examine the dynamic causal relationship between energy consumption and economic growth under the framework of the Cobb-Douglas production function. Using a multivariate model and grouped studies based on the differences in regional economic development, we show that the GDP per capita of the Pearl River Delta (PRD) is significantly higher than that of the peripheral municipalities. However, energy intensity shows an entirely different spatial distribution. The development of the regional economy depends on its own “assembling effect”. GDP explains approximately 68.3% of the total variation in energy consumption in the PRD and only approximately 34.5% of that in the peripheral municipalities. We do not confirm Granger causality between energy consumption and economic development. Guangdong can decrease its energy consumption growth without substantially sacrificing its economic growth. The analysis framework of this paper has significant implications for regions in balancing economic development and energy consumption.

A social network analysis of South Central Kansas Workforce Innovations in Regional Economic Development

2015 ◽  
Vol 8 (1) ◽  
pp. 6-22 ◽  
Author(s):  
Oliwier Dziadkowiec ◽  
Scott Wituk ◽  
Debra Franklin
Keyword(s):  
Economic Development ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Regional Economic Development ◽  
Leadership Team ◽  
Regional Economic ◽  
Content Type ◽  
South Central ◽  
Effective Decision Making

Purpose – The purpose of this study is to evaluate the composition and strengths/weaknesses and major actors of a coalition of regional economic leaders in the composites participating in the Workforce Innovations in Regional Economic Development (WIRED) project aimed at supporting high-skilled and high-wage careers. Design/methodology/approach – Social network analysis (SNA) was used to assess south-central (SC) Kansas WIRED coalition (n = 81) based on three surveys question: Who do you know? Who do you communicate with? and Who do you collaborate with? All the surveys were administered online in two waves. Findings – SC Kansas WIRED network has a strong core, well-defined periphery and is immune to key actor losses, which suggests that they are well developed and sustainable. The well-defined periphery positions the collaborative to reach out to resources outside of the network and innovation. Practical implications – SC Kansas WIRED Leadership team used the SNA to identify opportunities for further collaboration and reach out to individuals and groups who are not engaged well with others but are positioned well for sparking innovation and bringing resources to the region. Originality/value – There are few analytic resources to empirically examine coalitions/collaboratives and the human and economic resources embedded in them. The results of this study and the feedback from SC Kansas WIRED Leadership team suggests that SNA was very valuable in identifying areas for action or improvement of the SC Kansas WIRED collaborative and can be utilized for effective decision-making.

The Application of Factor and Cluster Analysis in Construction Enterprises in Inner Mongolia

2012 ◽  
Vol 174-177 ◽  
pp. 2848-2853
Author(s):  
Ying Qiu ◽  
Rui Zhang
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Inner Mongolia ◽  
Regional Economic Development ◽  
Regional Economic ◽  
Construction Enterprises ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

Construction enterprises are gradually developing into the middle force of business, which reflects a regional economic development. The paper analyzes seven indicators of construction enterprises in Inner Mongolia and collects three factors, which has a specific name and meaning, and sorts the performances of these construction enterprises according to scores so as to get levels of these enterprises. Then, the paper uses cluster analysis to analyze these enterprises to get a better understanding and take different measures to develop these enterprises.

Factor Decomposition of Regional Carbon Emissions from Energy Consumption for China

2014 ◽  
Vol 962-965 ◽  
pp. 1332-1337
Author(s):  
Ya Wei Qi
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Spatial Structure ◽  
Scale Effect ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Regional Economic Development ◽  
Structure Effect ◽  
Regional Economic ◽  
Technical Effect

This paper calculates the carbon emissions from energy consumption of 30 provinces in China through 2000-2010, and research correlation of factors such as regional economic gap and regional characteristics of carbon emissions in the process of regional economic coordinated development. The LMDI decomposition model is used to decompose the growth rate of China’s carbon emissions into 4 types of driving factors, i.e. GDP, industrial pollutants emission intensity, industrial structure and imbalance of regional economic development, to analyze influence of scale effect, technical effect, industrial structure effect and regional spatial structure effect on carbon emissions in the process of China's regional economic development. The results show that: The scale effect is determinants of carbon emissions increasing. The technical effect is the most important force to inhibit the increment of carbon emissions. Industrial structure effect and regional spatial structure effect on carbon emissions are not yet stable, but have a certain pull impact on increasing carbon emissions.

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