scholarly journals Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis

2019 ◽  
Author(s):  
Juan Palomino ◽  
Gabriel Rodríguez
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Regional Growth ◽  
Spatial Panel ◽  
Spatial Panel Data ◽  
Per Capita

Este artículo analiza el proceso de convergencia espacial del crecimiento en las 24 regiones del Perú durante el período 1979-2017. Realizamos un análisis exploratorio de datos espaciales con estadísticas globales y locales, como Moran I, para proporcionar evidencia empírica de las dependencias espaciales en el PIB per cápita regional. . Luego, estimamos la ecuación de convergencia utilizando modelos de panel espacial que controlan la heterogeneidad espacial y la interdependencia espacial, así como otras características económicas estructurales a nivel regional. Los resultados empíricos muestran que la convergencia espacial es una conclusión muy confiable durante este período y demuestran que los derrames regionales del PIB per cápita espacial juegan un papel esencial en la determinación del crecimiento a nivel local. Además, se prefiere el modelo Spatial Durbin en la formación de cuatro grupos de convergencia. El primer clúster es muy productivo y dinámico; el segundo conglomerado está compuesto por regiones selváticas y de productividad negativa; el tercer conglomerado está formado por regiones moderadamente productivas y costeras; y el cuarto grupo está compuesto por regiones estancadas y montañosas. Por último, estos resultados pueden ser fundamentales para dar un mayor enfoque a las políticas gubernamentales a largo plazo dirigidas a las regiones pobres y estancadas.

scholarly journals A Framework for Spatiotemporal Analysis of Regional Economic Agglomeration Patterns

2018 ◽  
Vol 10 (8) ◽  
pp. 2800 ◽  
Author(s):  
Rui Jin ◽  
Jianya Gong ◽  
Min Deng ◽  
Yiliang Wan ◽  
Xuexi Yang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Interaction Model ◽  
Spillover Effects ◽  
Spatiotemporal Pattern ◽  
Regional Economic ◽  
Spatial Panel ◽  
Economic Agglomeration ◽  
Spatial Panel Data

Understanding regional economic agglomeration patterns is critical for sustainable economic development, urban planning and proper utilization of regional resources. Taking Guangdong Province of China as the study area, this paper introduces a comprehensive research framework for analyzing regional economic agglomeration patterns and understanding their spatiotemporal characteristics. First, convergence and autocorrelation methods are applied to understand the economic spatial patterns. Then, the intercity spatial interaction model (ISIM) is proposed to measure the strength of interplay among cities, and social network analysis (SNA) based on the ISIM is utilized, which is designed to reveal the network characteristics of economic agglomerations. Finally, we perform a spatial panel data analysis to comprehensively interpret the influences of regional economic agglomerations. The results indicate that from 2001 to 2016, the economy in Guangdong showed a double-core/peripheral pattern of convergence, with strengthened intercity interactions. The strength and external spillover effects of Guangzhou and Shenzhen enhanced, while Foshan and Dongguan had relatively strong absorptive abilities. Moreover, expanding regional communication and cooperation is key to enhancing vigorous economic agglomerations and regional network ties in Guangdong by spatial panel data analysis. Our results show that this is a suitable method of reflecting regional economic agglomeration process and its spatiotemporal pattern.

ECONOMIC FREEDOM AND INCOME LEVELS ACROSS U.S. STATES: A SPATIAL PANEL DATA ANALYSIS

2018 ◽  
Vol 37 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Joshua C. Hall ◽  
Donald J. Lacombe ◽  
Timothy M. Shaughnessy
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Economic Freedom ◽  
Panel Data Analysis ◽  
Income Levels ◽  
Spatial Panel ◽  
Spatial Panel Data

scholarly journals Convergence of electricity consumption in Turkey: Spatial panel data analysis

2020 ◽  
Vol 67 (2) ◽  
pp. 241-256 ◽  
Author(s):  
Gülsüm Akarsu ◽  
Burcu Berke
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Empirical Studies ◽  
Electricity Consumption ◽  
Spatial Panel ◽  
Spatial Panel Data ◽  
Per Capita ◽  
Conditional Beta ◽  
Beta Convergence

The issue of convergence has been discussed in many theoretical and empirical studies. Because per capita electricity consumption is considered as an indication of economic development, this study aims to determine the presence of ?absolute and conditional beta (?) convergence? of per capita total electricity consumption across the provinces of Turkey between 1986 and 2013. This work is the first investigation of electricity consumption convergence in Turkey. Based on the annual balanced panel data and the spatial panel data model, our findings indicate absolute ? convergence of per capita electricity consumption across the provinces of Turkey. We conclude that regional policies are successful in reducing regional disparities in per capita electricity consumption among the provinces of Turkey. However, other indicators of economic development should be examined to determine the overall convergence.

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