Analysis of the Interaction between the Transportation and Regional Economic Development Based on the Panel Data Model

2009 ◽  
Author(s):  
Qian Wang ◽  
Qing Jian ◽  
Dongshan Ma
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Data Model ◽  
Regional Economic Development ◽  
Panel Data Model ◽  
Regional Economic

scholarly journals Study of the Spillover Effect on Sport to Chinese Regional Economic Development

2019 ◽  
Vol 10 (5) ◽  
pp. 487
Author(s):  
Huijun Jiang ◽  
Myeong Cheol Choi ◽  
Xinke Leng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Data Model ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Regional Economic Growth ◽  
Panel Data Model ◽  
Regional Economic ◽  
Incentive Effect

Sports development can lead to the emergence of external economies, which forms part of the spillover effects on regional economic growth under certain conditions. This study uses a sample of 31 provinces in China from 2008–2012 to construct a panel data model to examine the role of sports development in the regional economic growth in the C-D function. The results indicate that sports development indeed brings a good incentive effect to the economy in all areas, which suggests a spillover effect of Chinese sports development that stimulates regional economic growth, but this spillover effect reflects a greater difference between different regions. Overall, Hebei, Jiangxi, Henan, Hubei, Hunan, and Sichuan have the highest coefficient of sports investment on economy, but Jilin is relatively weak.

Corruption, Economic Development, and Insecurity in Colombia

2015 ◽  
pp. 572-584 ◽  
Author(s):  
Alexander Cotte Poveda
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Data Model ◽  
Social Performance ◽  
Panel Data Analysis ◽  
Mineral Resources ◽  
Dynamic Panel Data ◽  
Panel Data Model ◽  
Dynamic Panel ◽  
Dynamic Panel Data Model

This research evaluates the connection between corruption, economic development, and insecurity in several Colombian departments. This chapter explores the dynamics of these variables using two empirical techniques: the Data Envelopment Analysis (DEA) and the Dynamic Panel Data Model (DPDM). DEA is performed to evaluate social performance in terms of corruption, economic development, and insecurity in Colombian departments with a higher level and risk of corruption and insecurity. Dynamic panel data analysis is performed to define the variables that affect corruption, insecurity, and economic development. The DEA model provides evidence that corruption and insecurity have different trends where economic development, natural resources, and political instability are key factors. The dynamic panel data model applied shows that Colombian departments with a higher level and risk of corruption and insecurity have lower economic growth, development, and social conditions, but higher levels of mineral resources and illegal drug activity, as well as the presence of irregular armed groups.

Corruption, Economic Development, and Insecurity in Colombia

2015 ◽  
pp. 373-387
Author(s):  
Alexander Cotte Poveda
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Data Model ◽  
Social Performance ◽  
Panel Data Analysis ◽  
Mineral Resources ◽  
Dynamic Panel Data ◽  
Panel Data Model ◽  
Dynamic Panel ◽  
Dynamic Panel Data Model

This research evaluates the connection between corruption, economic development, and insecurity in several Colombian departments. This chapter explores the dynamics of these variables using two empirical techniques: the Data Envelopment Analysis (DEA) and the Dynamic Panel Data Model (DPDM). DEA is performed to evaluate social performance in terms of corruption, economic development, and insecurity in Colombian departments with a higher level and risk of corruption and insecurity. Dynamic panel data analysis is performed to define the variables that affect corruption, insecurity, and economic development. The DEA model provides evidence that corruption and insecurity have different trends where economic development, natural resources, and political instability are key factors. The dynamic panel data model applied shows that Colombian departments with a higher level and risk of corruption and insecurity have lower economic growth, development, and social conditions, but higher levels of mineral resources and illegal drug activity, as well as the presence of irregular armed groups.

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