scholarly journals Investment of Pension Funds in Different Streams: Evidence from Low vs. High Growth Oriented OECD Countries

2020 ◽  
Vol V (II) ◽  
pp. 45-60
Author(s):  
Arslan Qayyum ◽  
Aniqa Arslan ◽  
Kanwal Iqbal Khan
Keyword(s):  
Data Model ◽  
Pension Fund ◽  
Negative Impact ◽  
High Growth ◽  
Pension Funds ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Endogenous Factors ◽  
Asset Holding ◽  
The Individual

Pension funds pools’ investments have an impact on its growth. These investments can be either in equity stock, bonds, deposits, or in other miscellaneous assets that can generate different results with the involvement of some endogenous factors such as rate of return, inflation etc. To bring out the core investment factors determining pension fund growth, a stepwise regression technique was used on a dynamic panel data model. Moreover, to check the individual significance of the included variables in the model progressively, R2-change was observed. This study has found that the investment factors behave positively in high growth-oriented OECD economies and have a negative impact in low growth-oriented countries. Moreover, pension funds growth is slower due to market volatility in low-growth oriented economies. The study helps to know the utilization or investment factors that support the large asset-holding of financial-sector of OECD economies.

scholarly journals Does FDI affect carbon intensity? New evidence from dynamic panel analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Yanmin Shao
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Negative Impact ◽  
Dynamic Panel Data ◽  
Panel Data Model ◽  
Carbon Intensity ◽  
Dynamic Panel ◽  
Content Type ◽  
Dynamic Panel Data Model ◽  
Significant Negative Impact

Purpose This paper aims to clarify the relationship between foreign direct investment (FDI) and carbon intensity. This study uses the dynamic panel data model to study and provide fresh evidence for the issue. Design/methodology/approach This study first uses the dynamic panel data model to consider the endogeneity problem, and applies a system-generalized method of moments estimator to study the effect of FDI on carbon intensity using the panel data of 188 countries during 1990-2013. Findings The result shows that FDI has a significant negative impact on carbon intensity of the host country. After considering the other factors, including share of fossil fuels, industrial intensity, urbanization level and trade openness, the impact of FDI on carbon intensity is still significantly positive. In addition, FDI also has a significant negative impact on carbon intensity of high-income countries and middle- and low-income countries. Originality/value This paper offers two contributions to the literature on the effect of FDI on carbon intensity. From a methodological perspective, this paper is the first to apply a dynamic panel data model to study the effect of FDI on carbon intensity using worldwide panel data. Second, this paper is the first to analyze the effect of FDI on carbon intensity in different countries with different income levels separately.

scholarly journals KETEGARAN UPAH NOMINAL UNTUK TURUN: KASUS UPAH NOMINAL PEKERJA PRODUKSI DI BAWAH MANDOR PADA INDUSTRI BESAR DAN SEDANG MAKANAN JADI, BAHAN PAKAIAN, KARET, DAN PLASTIK

2009 ◽  
Vol 10 (1) ◽  
pp. 15
Author(s):  
Joko Susanto
Keyword(s):  
Regression Analysis ◽  
Data Model ◽  
Estimation Method ◽  
Capital Intensity ◽  
Dynamic Panel Data ◽  
Nominal Wage ◽  
Production Worker ◽  
Dynamic Panel ◽  
Regression Parameters ◽  
Over Time

This aim of the research is to test whether the decreasing productivity of the workers results in decreasing of the nominal wage of the production worker under the supervisor. Statistical data of BPS was used in this research. The research data is consist of the nominal base and over time wage of the production worker under the supervisor, productivity of workers, and capital intensity. Furthermore, this research used regression analysis with OLS estimation method. This regression analysis was based on the dynamic panel data model. Finally, this study used redundant coefficient test to reduce several insignificant regression parameters in order to get a parsimony model. The results of the research as follow: (1). the decreasing productivity of the workers does not result in decreasing the nominal base wages of the production workers under the supervisor. (2). the decreasing productivity of the workers results in decreasing of the over time wages of the production workers under the supervisor.

scholarly journals Spatial distribution of touristic flows in a gravity model in South America

2018 ◽  
Vol 25 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Natalia Porto ◽  
Noelia Garbero ◽  
Natalia Espinola
Keyword(s):  
Spatial Distribution ◽  
Gravity Model ◽  
Data Model ◽  
Regional Model ◽  
Dynamic Panel Data ◽  
Common Market ◽  
The Novel ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Content Type

Purpose This paper aims to investigate the determinants of international bilateral tourism demand in countries of Southern Common Market (specifically, Argentina, Brazil and Uruguay) and Chile. Design/methodology/approach In this study, an augmented gravity model is used to investigate the determinants of international bilateral tourism demand in countries of Southern Common Market. The novel aspect of the analysis is that three models of tourism are defined, depending on the spatial distribution of tourist arrivals and departures. An intra-regional model, an extra-regional model and a general model are estimated using a dynamic panel data model. Findings The results indicate that traditional gravity variables are significant in explaining bilateral inbound arrivals, but the characteristics and the behavior of the demand of tourism vary on whether the country belongs to the sub-regional bloc. Research limitations/implications The differences found in this paper might have some impacts on the desired design and direction of the touristic policies of each country. Originality/value This study analyzes the determinants of international tourism demand through different bilateral relationships, differentiating between intra- and extra-block tourisms.

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