Showing 3 results for Ras
Hosein Mohammadi, Morteza Mohammadi, Mohammad Tirgari-Seraji,
Volume 8, Issue 30 (12-2017)
Abstract
Proposed by the World Bank, in which the emphasis is on the participation of all sectors in order to achieve comprehensive development in economic, political, social and cultural fields. In this research, by using data of governance quality in 97 countries in 2000-2012, using panel data method, the effect of governance quality index and its sub-indices on the growth rate of per capita GDP is studied. To achieve the comparable results, countries have divided into five groups with low income (first group), with lower than average income (second group), with higher than average income (third group), high income and non-OECD (Group 4) and high-income and OECD (Group 5) countries. Then the effects of some explanatory variables such as governance indicator and its sub-indices on the per capita GDP is estimated for each group of countries separately. The results of the research indicate that in the studied period and for the countries under study, the governance indicator and its sub-indices do not have the same effects on GDP per capita in different groups of countries. Voice and accountability index has a positive significant effect on per capita GDP growth only in three groups of countries (third, fourth and fifth groups). Political stability index only has a positive significant effect on per capita GDP growth in the third group. The government efficiency indicator only has a positive significant effect on per capita GDP growth in the third, fourth and fifth groups. In the first group, only the regulatory quality index has a positive significant effect on per capita GDP growth. This difference in the way indicators are used implies a difference in regulatory policies in order to influence the per capita GDP growth in different groups of countries.
Sajad Rajabi, Davood Manzoor,
Volume 10, Issue 35 (3-2019)
Abstract
In this paper, the Expanding extraction method of Dietzenbacher & Lahr (2013) is used and in the form of Input-Output general equilibrium model. The article assesses and evaluates the importance of the energy sector and its sub-sections in the Iranian economy based on Iranian input-output table of 2017 that is updated by RAS approach. In this way, the 10% reduction in the supply of coal, crude oil and natural gas, electricity and gas consumed has been investigated in four scenarios. Additionally, in the fifth scenario, by aggregating energy subsectors into one sector, the 10% reduction in the supply of energy in interaction with 75 sectors is measured. The results of this simulated model show that by reducing the supply of energy sector, "Manufacture of coke and refined petroleum products" will drop by 9% in value. Respectively, "Transport via pipeline" and "Manufacture of chemicals and chemical products" reduced by 4% and 2% in value added
Javad Barati,
Volume 10, Issue 38 (12-2019)
Abstract
The impacts of the tourism industry on economic growth can be divided into two categories: direct and indirect (spillover) effects. In the field of tourism, direct impacts have been the subject of many studies but the analysis of spillover effects, particularly the effects from tourism infrastructure development, have received less attention. This study, with an analytical approach and along with examining the quantitative methods and analysis of the spillover effects of various variables affecting the development of the tourism industry, has investigated these impacts for each the variables and in each province. For this purpose, it has used spatial econometric models. The results confirmed the existence of spatial fixed effects and was applied Spatial Durbin Model (based on Lagrange coefficient test). The results show a positive and significant impact of transport infrastructure variables (road, rail, air) and travel agencies on the growth of value added in the tourism industry. Investigation of the spillover effects of infrastructure variables on growth of value added has shown that, except for Accommodation services, other tourism infrastructure variables have negative spillover effects for neighboring provinces, and also have positive spillover effects for other (non-neighbor) provinces. The negative spillover effects on the tourism growth of the neighbor provinces are due to competition impact and relative stability in the number of domestic tourists, and the positive spillover effects on non-neighbor provinces are due to factors such as the development of multi-purpose trips and increased market access.
