The Impact of the 2006 Yogyakarta Earthquake on Local Economic Growth

2018 ◽  
Vol 2 (2) ◽  
pp. 203-224
Author(s):  
Aloysius Gunadi Brata ◽  
Henri L. F. de Groot ◽  
Wouter Zant
2013 ◽  
Vol 52 (8) ◽  
pp. 1688-1697 ◽  
Author(s):  
Luisito Bertinelli ◽  
Eric Strobl

AbstractStudies of the impact of hurricanes on economic activity typically are restricted to a very aggregate level of analysis because of the lack of spatially disaggregated data. In this paper nightlight satellite imagery is employed as a measure of local economic activity in conjunction with a local proxy for potential hurricane destruction generated from a wind field model to statistically assess the impact of hurricane strikes on local economic growth. The regression results suggest that on average hurricane strikes reduce income growth by around 1.5% at the local level, with no effect beyond the year of the strike. This estimated impact from localized data is more than 2 times that implied by aggregate analyses.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofei Li ◽  
Fen Chen

This paper evaluates the impact of the development of the logistics industry on economic growth based on panel data of 21 cities in Guangdong Province in China from 2007 to 2019. Using the overall entropy method, the comprehensive development index of the logistics industry is constructed to capture the performance of the logistics industry. On this basis, by using Moran’s index, we measure the spatial agglomeration effect of the logistics industry. Furthermore, direct and spatial spillover effects are also obtained. The estimation results of the spatial Durbin model (SDM) reveal that the elasticity coefficient of the effect of the comprehensive development level of the logistics industry on economic growth is 0.2590, which is significant at the 1% level. In addition, the coefficient of the direct effect of the logistics industry on local economic growth is 0.4074, and the coefficient of the spatial spillover effect on the economic growth of the surrounding areas is 0.3596, which are both significant at the 1% level. These results indicate that the development of the logistics industry can not only improve local economic growth but also promote the economic growth of the surrounding regions.


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