Foreign direct investment and wage spillover in Thailand

2019 ◽  
Vol 46 (10) ◽  
pp. 1198-1213
Author(s):  
Sasiwimon Warunsiri Paweenawat
Keyword(s):  
Panel Data ◽  
Direct Investment ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Firm Level ◽  
Content Type ◽  
Domestic Firms ◽  
Dynamic Panel Data Analysis ◽  
Unbalanced Panel Data

Purpose The purpose of this paper is to investigate whether foreign direct investment (FDI) benefitted Thai workers in domestic firms. Design/methodology/approach By utilizing existing firm-level unbalanced panel data from the survey of the Office of Industrial Economics, Ministry of Industry, Thailand, between 2004 and 2013, this study applies dynamic panel data analysis, using the generalized method of moments proposed by Arellano and Bond (1991), to estimate the wage spillover from multinational enterprises (MNEs) to domestic firms in Thailand. Findings The study reveals that there is a positive wage spillover from the presence of MNEs in the industry to domestic firms. Furthermore, a wage spillover also exists in the low-technology industry, as well as in firms located in the Metropolitan and Northern regions. These findings confirmed that FDI offers a significant advantage in Thailand’s labor market. Originality/value This study is the empirical research to utilize existing firm-level unbalanced panel data in Thailand, applying dynamic panel data analysis to data from 2004 to 2013 to estimate the wage spillover from MNEs to domestic firms.

Does anti-corruption disclosure affect banking performance?

2020 ◽  
Vol 27 (4) ◽  
pp. 1161-1172
Author(s):  
Haitham Nobanee ◽  
Osama F. Atayah ◽  
Charilaos Mertzanis
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Islamic Banks ◽  
Dynamic Panel ◽  
Content Type ◽  
Conventional Banks ◽  
Dynamic Panel Data Analysis ◽  
Conventional And Islamic Banks

Purpose This paper aims to test the levels of anti-corruption disclosure and its implication on the banking performance of both conventional and Islamic banks listed on the Abu Dhabi Securities Exchange and Dubai Financial Market. Design/methodology/approach The authors have used the content analysis to identify the levels of anti-corruption disclosure in the banks’ annual reports. They have also used the two-steps generalized method of moments (GMM) regression applied to dynamic panel data analysis to examine the effect of the anti-corruption disclosure on the banking performance. Findings The empirical results show that the anti-corruption disclosure is at low levels for all banks and conventional and Islamic banks samples. The results also show no significant differences in the anti-corruption disclosure between Islamic and conventional banks. The results of the two-steps GMM regression applied to dynamic panel data analysis show a negative and significant impact of the levels of anti-corruption disclosure on the bank’s performance for both all banks and conventional banks; the results of the dynamic panel data analysis show an insignificant impact of anti-corruption discloser for the Islamic banks' sample. Practical implications The findings recommended a comprehensive framework of anti-corruption disclosure to the central banks and financial market regulators to enhance anti-corruption practices within the financial institutions to increase transparency and enhance their performance. Originality/value Fighting against anti-corruption is essential for financial institutions. This paper is the first study that examined the extent of anti-corruption levels and their effect on banking performance for both Islamic and conventional banks operates in the UAE. The findings help in enhancing reporting practices in terms of anti-corruption to improve transparency and performance in the banking sector.

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

scholarly journals Labor Productivity Convergence in Indonesia: Spatially Dynamic Panel Data Analysis

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Ahmad Fajar Novianto ◽  
Waris Marsisno
Keyword(s):  
Panel Data ◽  
Labor Productivity ◽  
Panel Data Analysis ◽  
Estimation Method ◽  
Dynamic Panel Data ◽  
Tertiary Sector ◽  
Dynamic Panel ◽  
Productivity Convergence ◽  
Time Required ◽  
Dynamic Panel Data Analysis

The problem of labor productivity in Indonesia is a regional and sectoral inequality. To know the time required to remove inequality, can be measured by the level of convergence of labor productivity. The research would analyze the rate of sectoral labor productivity convergence among provinces in Indonesia spatially and identify the determinant factors of labor productivity. The analytical methods used is spatial dinamic panel data with Spatially Corrected Blundell-Bond (SCBB) estimation method. The results show that there are spatially sectoral labor productivity convergence. Primary sector takes the longest half-life convergence of 7-8 years, while secondary takes 1-2 years and tertiary sector takes 3-4 years. Furthermore, the Gross Capital Fixed Formation, Mean Years of Schooling, and real wage sectoral are significantly have positive affect to the labor productivity while Life Expectancy is significantly have negative affect to labor productivity.Keywords : convergence, spatial analysis, labor productivity

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