Marzieh Asaadi; Mohammad Mahdi Lotfi Heravi
Abstract
Biotech-Economics is a new concept in the literature on Sustainable Development implying the revision of production processes using renewable bio-resources and technological innovations. Bioeconomic activities have two common features: resource sustainability and economic efficiency towards Sustainable ...
Read More
Biotech-Economics is a new concept in the literature on Sustainable Development implying the revision of production processes using renewable bio-resources and technological innovations. Bioeconomic activities have two common features: resource sustainability and economic efficiency towards Sustainable Development Goals. Theoretical foundations related to the transition to Bio-Economics emphasize the Circular Economy as the theoretical-applied model. Given the growing trend of the Bio-Economics in the world, this research pursues two goals. First, explaining the theoretical foundations of Bio-Economics and evaluating the transition process. Second, to provide a framework for identifying and analyzing variables affecting transition, based on the Circular Economy and on the macroeconomic scale. Indicators of Bio-Economics are based upon the three indices of Sustainable Development including economic-social-environmental variables. Empirical research in Bio-Economics shows that due to data limitations and heterogeneity of index measurement methods, statistical analysis methods using cross-sectional data are the most applied methods. Accordingly, using Factor Analysis method and bio-economic data of the European Circle Economy, the variables explaining the transition process have been identified. The results suggest that the most important economic variables of the transition include the share of investment and value added in the Bio-Economics, the biomaterial trade, and the market sentiment index. The effective variables regarding social and environmental indicators include daily calorie per capita, biowaste recycling, organic farming and innovations, respectively. Finally, the necessity of Iran's economy for transition to Bio-Economics was analyzed from two perspectives: Oil Vulnerability Index and Sustainable Development Goals, emphasizing the necessity of the transition to the Bio-Economics.
Farshad Momeni; Hamid Padash; Amir Khadem Alizadeh; Ramineh Soleimanzadeh
Abstract
Semiotics is the process of studying signs. The study of the relationship between semiotics and other sciences is a relatively new topic in the scientific world. Discovering this relationship can be the goal of various research, including this one. This study, by adopting a semiotic approach, examines ...
Read More
Semiotics is the process of studying signs. The study of the relationship between semiotics and other sciences is a relatively new topic in the scientific world. Discovering this relationship can be the goal of various research, including this one. This study, by adopting a semiotic approach, examines development within the framework of institutionalism. This research shows that there is a link between semiotics and the institutional approach of development in several ways. First, the market is a contractual phenomenon and is influenced by the preferences and values of individuals. Second, the state is an institution that can be analyzed using semiotic analysis. Third, consumption and value of goods depend on how they use signs. Fourth, production is a semiotic behavior. Fifth, the rational behavior of actors has a logical and semiotic meaning. Finally, the system of values and norms that shape the behavior of individuals is a subject of cultural semiotics.
Yousof Eisazadeh Roshan; Majid Aghaiee; Sammaneh Ghasemi
Abstract
The main objective of this study is to investigate the effect of ICT improvement on the effect of financial intermediaries on economic growth in Iran's provinces. For this purpose, according to the classification of the Information Technology Organization, the provinces are divided into two groups of ...
Read More
The main objective of this study is to investigate the effect of ICT improvement on the effect of financial intermediaries on economic growth in Iran's provinces. For this purpose, according to the classification of the Information Technology Organization, the provinces are divided into two groups of provinces with the development of information and communication technology Higher and lower than average. Then, gather information and data required during two five-year periods 2006-2010, 2011-2015 and in the context of dynamic panel models using estimators GMM , the role of ICT in the effectiveness of financial intermediaries on economic growth in the two groups Provinces were tested and checked. The results of this study indicate that, first; the effect of financial intermediaries on the growth in both periods and in both groups of provinces is negative. Secondly: the level of ICT development reduces the negative effect of financial intermediaries on economic growth. Also, according to the results, the impact of the inflation rate and government size on economic growth in both groups of provinces was negative.
Bakhtiar Javaheri; Khaled Ahmadzadeh; Homeyra Shahveisi
Abstract
The existence of efficient financial institutions, proper allocation of resources and financial development are the prerequisites for achieving desired economic growth and development. Therefore, it is necessary to identify the factors affecting the financial development of countries. This study ...
Read More
The existence of efficient financial institutions, proper allocation of resources and financial development are the prerequisites for achieving desired economic growth and development. Therefore, it is necessary to identify the factors affecting the financial development of countries. This study examines the impact of natural resources and institutional quality on the financial development of developing countries over 2000-2016 using systemic GMM In this study, we used three indexes for financial development: the Financial Development Index (FDI) developed by IMF, the total credit provided by banks to the private sector as a share of GDP, and the Z-score index. The rent of natural resources is measured as a weighted average of income flows from oil, gas and minerals and Good Governance Indicators are used as measures of institutional quality. The results suggest that natural resources rents have a positive and significant effect on credit provided to the private sector and Financial Development Index, but threaten the stability of the banking sector. In addition, Institutional quality indicators also show a positive effect on three indicators of financial development.
Parviz Davoudi; Hassan Sabzi Khoshnami
Abstract
Income inequality has received much attention from economists and policymakers as one of the components of economic development. On the other hand, the difference between developed and developing economies can be checked in the efficiency of their financial systems. This study investigates the ...
Read More
Income inequality has received much attention from economists and policymakers as one of the components of economic development. On the other hand, the difference between developed and developing economies can be checked in the efficiency of their financial systems. This study investigates the effect of financial development on income inequality in Iran using the threshold regression method during 2020-1967. The results show that the effect of financial development of the banking sector and the stock market on income inequality has a threshold limit. in model one, the financial development of the banking sector before and after the threshold has a significant and negative effect on inequality. In model two, stock market financial development has significant and negative effect on income inequality before the threshold but not significant effect after the threshold. However, there is insufficient evidence to support the effect of financial development on income inequality in the form of Greenwood and Jovanovic's inverse U hypothesis.
zahra fazeli; Younes Khodaparast Pirsarayi
Abstract
Export sophistication, which means producing and exporting goods that are more sophisticated and have more value-added, along with economic freedom can influence economic growth in different countries through technological improvement, increasing expertise and encouraging innovation. This study examines ...
Read More
Export sophistication, which means producing and exporting goods that are more sophisticated and have more value-added, along with economic freedom can influence economic growth in different countries through technological improvement, increasing expertise and encouraging innovation. This study examines the effects of export sophistication and economic freedom as factors that influence economic growth in a selection of oil-exporting countries. To meet this end, the export sophistication index is calculated based on Hausman et al. (2007) for period 1998 to 2017. The results indicate that, due to high share of oil and gas in the export basket, the sophistication of exported goods in the select countries is relatively low. However, this index has a positive significant effect on economic growth of select countries with a coefficient of 0.41. The economic freedom index in select countries is close to the global averages and its effect on economic growth is significant and positive with a coefficient of 0.06. Other control variables such as human capital, financial development and gross capital formation are also found statistically significant. Our findings confirm the need for planning to increase sophistication of exports. To achieve this end, apart from producing and exporting goods that are more sophisticated, the development of oil and gas downstream industries, which are capable of producing complex and high value-added goods, should be on the agenda.
Mohsen Mohammadi Khyareh; Nasrin Rostami
Abstract
Many scholars emphasize the importance of economic competitiveness in the improvement of economic growth. However, studies that quantitatively analyze the interconnection between different components of competitiveness in one economy and their impact on economic growth are very limited. Therefore, the ...
Read More
Many scholars emphasize the importance of economic competitiveness in the improvement of economic growth. However, studies that quantitatively analyze the interconnection between different components of competitiveness in one economy and their impact on economic growth are very limited. Therefore, the purpose of this study is to fill the gap in the literature on economic growth and study the effect of competitiveness in different stages of economic development. In this regard, using the data of 81 countries of the World Economic Forum (WEF) in three groups of resource-, efficiency- and innovation-driven countries for years 2008-2017, the relationship between national competitiveness and economic growth is examined through the econometric model of generalized method of Moments (GMM). Our results indicate that the impact of institutions, infrastructure, higher education, business complexity and innovation on economic growth is positive and significant in all three groups of countries. In addition, the impact of labor market efficiency, financial market development and macroeconomic stability has been significant only in inefficiency - and innovation-driven, and the impact of primary education and health had been meaningful only in resource-driven countries. In addition, the effect of the goods market efficiency and market size on economic growth has been significant only in innovation-driven countries and technology-readiness was significant in all but innovation-driven countries. In summary, our estimation results indicate that the impact of competitiveness components on economic growth in different countries varies according to their stage of development.
Javad Taherpoor; Fateme Rajabi; Hojjatollah Mirzaei; Habib Soheili
Abstract
The aim of this study is to investigate the impacts of the coronavirus outbreak on Iran’s labor market. To do so, we analyzed changes in key indicators of the labor market in the first four months of the outbreak. In addition, the dynamic effects of COVID-19 are estimated using a vector ...
Read More
The aim of this study is to investigate the impacts of the coronavirus outbreak on Iran’s labor market. To do so, we analyzed changes in key indicators of the labor market in the first four months of the outbreak. In addition, the dynamic effects of COVID-19 are estimated using a vector autoregression model (VAR). Results show that spread of the pandemic has led to an increase innumber of discouraged workers. The participation rate has fallen by 3.7 percentage points, compared to the same period last year. Considering seasonal variations in the labor market, nearly 1.5 million people have lost their jobs due to the coronavirus contagion. Also, around 750 thousand people applied for unemployment benefits which are 60 percent of the claims filed by former service sector employees. The results indicate that during the study period, the increase in confirmed cases of infections increased the number of jobless claims and the number of unemployed persons. Our findings confirm rapid and substantial changes in the Iranian labor market caused by the coronavirus and highlight the necessity of improving the social welfare system for supporting vulnerable groups in the current crisis and future crises. Supporting businesses, especially credit, insurance, etc., can also reduce the problems of businesses and reduce the number of unemployed.
Hosein Salimi
Abstract
The purpose of this article is to analyze the emergence of a new and different field for economic action. This new field is called the world economy, which is beyond the international economy, and its nature and the fundamental forces affecting it differ from those affecting the international economy. ...
Read More
The purpose of this article is to analyze the emergence of a new and different field for economic action. This new field is called the world economy, which is beyond the international economy, and its nature and the fundamental forces affecting it differ from those affecting the international economy. Due to this new environment, phenomena such as global capital and the global value chain have emerged, without which it is impossible to obtain a correct picture of the construction of economics, both within countries and globally. Policy-making will also be different in this new environment. This article is meant to demonstrate how the development of new global phenomena contributed to the emergence of a new global economic climate that has transformed the behavior and position of nations within the new global order. Despite the many differences between theories, in the first part of this article, we will try to highlight the fact that they agree on the formation of the world economy and the world entering a new stage. Based on the data gathered from sources such as the annual reports of the World Trade Organization, the UNDP, and the International Monetary Fund, we present in the second section that the change has actually occurred and the world has entered a new space.
Abbas Abbaspour; mohammadmahdi keramatitavallaee; hamid rahimian; Esfandiar Jahangard
Abstract
The widespread concern about financing higher education in different countries has led to a lot of movements. Policymakers have started to take advantage of this trend, and the universities themselves have come up with new insights into this new situation. The purpose of this study is to develop a suitable ...
Read More
The widespread concern about financing higher education in different countries has led to a lot of movements. Policymakers have started to take advantage of this trend, and the universities themselves have come up with new insights into this new situation. The purpose of this study is to develop a suitable model for financing higher education in Iran, which is done by a combined research method. In the qualitative stage, after the interview and coding steps, the conceptual model was depicted based on systematic approach of Strauss and Corbin. In the quantitative stage, 155 people were questioned as a tool for evaluating the model. In order to test the questionnaire, factor analysis, Cronbach's alpha, combined reliability and convergent validity methods were used, which showed that the results were acceptable and most of the cases had a suitable factor load. In the next step, the coefficients of significance between variables and standardized coefficients of the paths related to the hypotheses were calculated. Among the research hypotheses, there was a significant relationship between the model's pivotal phenomenon, which was the internalized diversification of funding, with academic independence and naturalness, but its significant relation with fair access to higher education and the reliability on financial resources was rejected. Also, there was a significant relationship between internal financing diversification with information, equipment, capabilities and experiences networking strategies, financial, mental and spiritual motivation, strengthening of stakeholder communication, development of required rules and regulations were approved, but were rejected by increasing international engagement and cooperation.
Shahin Behdarvand; Ali Nassiri Aghdam; Mohammad Ghasemi Sheshdeh
Abstract
This paper aims to empirically assess Schumpeter's view that access to credit is vital for entrepreneurial activities. Credit allocation refers to the allocation of bank credits by the monetary authorities to non-financial economic activities. To measure the scope and penetration of entrepreneurship, ...
Read More
This paper aims to empirically assess Schumpeter's view that access to credit is vital for entrepreneurial activities. Credit allocation refers to the allocation of bank credits by the monetary authorities to non-financial economic activities. To measure the scope and penetration of entrepreneurship, two common indicators are used: The New Business Entry Density (ED) of the World Bank (WB) and Total Early-stage Entrepreneurial Activity (TEA) of the Global Entrepreneurship Monitor (GEM). Our sample for the first case includes 66 countries over the period 2006 to 2016, and for the second case, 54 countries during the period 2001 to 2016. The results rejects the hypothesis of the impacts of credit allocation on entrepreneurship in the case of former indicators, but do not reject it in the case of the latter indicators. Furthermore, the sensitivity of the results to the choice of entrepreneurship measure indicates that further inquiries as well as alternative indicators are required to address the Schumpeterian hypothesis.
Rozbeh Amanifard; Mohsen Mohammadi Khyareh; Reza Mazhari
Abstract
The importance of establishing “Enabling Trade” measures in the countries of origin and destination of exports is of great importance in the international economic literature. In this regard, many studies have shown that improving Enabling Trade can reduce trade costs and improve export ...
Read More
The importance of establishing “Enabling Trade” measures in the countries of origin and destination of exports is of great importance in the international economic literature. In this regard, many studies have shown that improving Enabling Trade can reduce trade costs and improve export performance. However, in previous studies, the issue of Enabling Trade at export destinations and its impact on the commercial performance of export sources has not received much attention. In addition, the need for non-linear estimation of gravity models has been almost completely agreed in the past decade. Therefore, this article studies the estimation of the impact of the Poisson Pseudo-Maximum Likelihood (PPML) on the trade facilitation of its 21 trading partner countries from 2008 to 2016. Enabling Trade Index (ETI) includes four sub-indexes: market access, border management, transportation and communications infrastructure, and operating environment. The results show that Enabling Trade Indices such as market access, border management, infrastructure, and operating environment in the country of origin and export destination countries have had a positive and significant impact on trade flows between Iran and its trading partners. In addition, the results show that the importance and intensity of Iran’s enabling trade indicators are higher than similar measures taken by its trading partners. The authors interpret it as explaining the important role of enabling trade policies in increasing trade between Iran and its trading partners.
Nima Mohamadnejad; Abbas Assari Arani; Gholamreza Keshavarz Haddad; Sajjad Faraji Dizaji
Abstract
Increasing income levels in recent decades have led to an increase in the health share of GDP, which in turn has led to enhanced health and reduced mortality rates. The monetary value of mortality rate reduction leads to the concept of Value of a Statistical Life that this study calculates and examines ...
Read More
Increasing income levels in recent decades have led to an increase in the health share of GDP, which in turn has led to enhanced health and reduced mortality rates. The monetary value of mortality rate reduction leads to the concept of Value of a Statistical Life that this study calculates and examines its dynamics for 19 age cohorts after eliminating the shortcomings of the Hall and Jones (2007) model and utilizing a dynamic planning approach (in a life cycle model). After calculating the statistical value of life, Grossman's (1972) health capital is established and calculated in Hall and Jones's (2007) theoretical framework. Results show that improving the health status of 10-14 year old individuals has the highest monetary value compared to other age groups. Also, the monetary value of utility resulting from improved health declines with age, so that for over 65 years old individuals, the monetary value of improved health reaches to the level of the monetary value of utility derived from consumption. Infant health capital fluctuates between 2 and 15 million dollars throughout 1996-2015. The fluctuation of health capital and the Value of a Statistical Life depend s on the fluctuation of per capita income, which confirms the very tight relationship between income, consumption, utility, and monetary value of life.
Alireza Ebrahimi Nourali; Karim Emami; Teymour Mohammadi
Abstract
The purpose of this paper is to design a unique pricing system (price-cap) for Iran's water and wastewater industry to ensure fair pricing for its customers, encourage effective investment planning, and improve corporate productivity and efficiency. To this end, the translog frontier cost function ...
Read More
The purpose of this paper is to design a unique pricing system (price-cap) for Iran's water and wastewater industry to ensure fair pricing for its customers, encourage effective investment planning, and improve corporate productivity and efficiency. To this end, the translog frontier cost function form using the panel- data of thirty-five (35) water and wastewater companies over the period 2012-2017 is used to calculate the aforementioned components and X-factor and use it in the price-cap model for a five-year period, has been used. The price ceiling decreasing for the most efficient company was 2% and for the most inefficient company was 28%. In other words, in the first year of implementation of the price ceiling adjustment model, the most efficient water and wastewater company will be allowed to decrease its base or initial price by 2%, but the most inefficient company will be allowed to more decrease by 28%. It is this incentive that fulfills the purpose of implementing the price-cap model as an incentive regulation method.
Hojjatollah Baramaki Yazdi; Davood Manzoor; Mohamad saeed Shadkar
Abstract
The history of oil contracts in the last century indicates that oil contracts are a form of conflict between the interests of foreign oil companies and national interests of reservoir-owning governments. In this context, an important question arises for reservoir-owning governments as to which existing ...
Read More
The history of oil contracts in the last century indicates that oil contracts are a form of conflict between the interests of foreign oil companies and national interests of reservoir-owning governments. In this context, an important question arises for reservoir-owning governments as to which existing conventional upstream contracts should be chosen to maximize benefits. Representation theory has been used to answer this research question. In the designed model, each party's interest function in each of the upstream contracts is identified and modeled. Also, the rationality and motivation conditions in this model have been analyzed as participation constraints. The results of the proposed model using the genetic algorithm method show that, given field coordinates, the production-sharing contract has the lowest representation cost compared to the other two contracts of concession and service purchase. And as the selected model, production-sharing contracts can make the most profit for reservoir-owning governments.
Mehdi Yazdani; Mojtaba SharifiShifteh
Abstract
During recent years, the growth of international trade has been more than that of world output, and countries have shown more interest in forming regional unions and agreements to increase their trade. The aim of this study is to estimate the net effect of D8 formation on trade of its member countries. ...
Read More
During recent years, the growth of international trade has been more than that of world output, and countries have shown more interest in forming regional unions and agreements to increase their trade. The aim of this study is to estimate the net effect of D8 formation on trade of its member countries. In this regards, a gravity model has been applied using panel data method for period 1990-2014, in accordance with a Difference-in-Differences (DID) approach and Poisson-Pseudo maximum likelihood method. The D8 countries are selected as target group and select member countries of Organization of Islamic Cooperation are chosen as control group. Our Results show that the net effect of D8 formation on trade among its member countries is positive and significant. Also, the bilateral trade among member countries has had a direct relationship with their size and common language and inverse relation with the distance between them.
Edris Karimi; Zahra Fotourehchi; Mohammad Hassanzadeh
Abstract
In recent decades, international sanctions have become a common feature of political interactions between governments. In particular, the United States is the country which has imposed the most economic sanctions since World War II. Moreover, several actions have been taken by multilateral organizations ...
Read More
In recent decades, international sanctions have become a common feature of political interactions between governments. In particular, the United States is the country which has imposed the most economic sanctions since World War II. Moreover, several actions have been taken by multilateral organizations like the United Nations in recent years. This study seeks to unveil the effect of UN and US economic sanctions on the misery index in a panel of 41 sanctioned countries during 1991-2018. The model is estimated as unbalanced panel data using the Generalized Least Squares (GLS) method. The results of this study indicate that UN and US sanctions have a significant impact on the misery index. Furthermore, the positive and incremental effect of comprehensive UN economic sanctions on the misery index is greater than that of the United States.
Abdol majeed Jalaee; Mahnaz Alibeygi
Abstract
The purpose of this study is to investigate the effect of trade and foreign direct investment on economic growth of OPEC members using the convergence and gravitation model. The model is estimated by the spatial Durbin regression model (SDM) using spatial panel data for the period 2010-2020. ...
Read More
The purpose of this study is to investigate the effect of trade and foreign direct investment on economic growth of OPEC members using the convergence and gravitation model. The model is estimated by the spatial Durbin regression model (SDM) using spatial panel data for the period 2010-2020. Convergence is estimated using cross-sectional data method and gravitation model using panel data method. The results show that foreign direct investment affects economic growth inside and in neighbor countries through spillovers, increasing trade and technology imports in the countries. Also the size of government has no effect on trade and economic growth. The results of convergence and gravitation model show that there is convergence between the target countries and gross domestic product has a positive effect on bilateral trade, but the Linder variable has a negative effect on mutual trade, consistent with the theory.
seyedeh fatemeh chavooshi; mahmod mahmoodzadeh; Salleh Ghavidel doostkouyi
Abstract
The purpose of this article is to evaluate factors affecting expansion of e-commerce in Iran in a provincial level using panel-data regression model for period 2013 to 2016 in 30 Iranian provinces. The results show that about 5 percent of gross domestic product (GDP) in Iran has been created by e-commerce. ...
Read More
The purpose of this article is to evaluate factors affecting expansion of e-commerce in Iran in a provincial level using panel-data regression model for period 2013 to 2016 in 30 Iranian provinces. The results show that about 5 percent of gross domestic product (GDP) in Iran has been created by e-commerce. The most important factors affecting expansion of e-commerce include: number of e-commerce businesses, penetration rate of landline phone, penetration rate of mobile phone and internet bandwidth. The estimated coefficient for variables of the number of e-commerce businesses, penetration rate of landline phone, penetration rate of mobile phone and internet penetration rate are 0.045, 0.022, 0.009 and 0.006 respectively and they are statistically significant. The results show the greatest influence on e-commerce is made by "internet penetration rate" that can be used as the driving engine of e-commerce. This means that with increasing internet penetration rate in Iranian provinces, the gap in e-commerce between provinces can be decreased. The second influential variable on expansion of e-commerce is "number of e-commerce businesses". In addition, penetration rates of mobile and landline phone are other variables influencing expansion of e-commerce in Iran.
Salman Farajnia; Kowsar Yousefi; Mehdi Fadaee
Abstract
The natural rate of unemployment is affected by a variety of factors, including sectoral shifts. However, the inclusion of such factors is ignored in most of the researches. We employ standard deviation of sectoral employment as a proxy for sectoral shift, and use it to calculate the natural rate of ...
Read More
The natural rate of unemployment is affected by a variety of factors, including sectoral shifts. However, the inclusion of such factors is ignored in most of the researches. We employ standard deviation of sectoral employment as a proxy for sectoral shift, and use it to calculate the natural rate of unemployment and the impact of unanticipated monetary policies on employment. The data is from the Labor Force Survey, 1384 to 1396. Results indicate that the sectoral standard deviation of employment has no significant effect on the unemployment rate. We interpret it due to the considerable share of permanent unemployment (those without any job in the past five years) in Iran's data with respect to seasonal unemployment. The permanent unemployment is about 40% in Iran while this number is 15% in the United States. Moreover, we find that the standard deviation of “job destruction” is negatively correlated with the unemployment rate. This might be due to less job destruction during the economic boom which causes the standard deviation to fall.
Gholamreza Soleymani Amiri; Fatemeh Babaei
Abstract
The aim of this study is to provide a comprehensive investigation of the obstacles and factors affecting optimal implementation of Value-Added Tax Act (the VAT Act) and to propose an effective model using Structural Equation Modelling (SEM), The population of this study includes the taxpayers and tax ...
Read More
The aim of this study is to provide a comprehensive investigation of the obstacles and factors affecting optimal implementation of Value-Added Tax Act (the VAT Act) and to propose an effective model using Structural Equation Modelling (SEM), The population of this study includes the taxpayers and tax officials in Zanjan Province. Relevant literature and previous studies were reviewed and the obstacles and factors affecting the optimal implementation of the VAT Act were identified. The detected obstacles and factors were verified by expert opinion. After that, the identified obstacles were classified into four main categories, namely, structural, administrative, cultural and finally economic and political obstacles and the effective factors were classified into four main categories, including, human resources, taxpayers, tax system and legal factors. Then, the questionnaires were distributed among the taxpayers and tax officials and the obtained data were analyzed using SPSS and Amos software. The results indicate that both obstacles, i.e., the structural, administrative, cultural and economic and political obstacles and effective factors, i.e., human resources, taxpayers, tax system and legal factors have positive and significant relationship with the optimal implementation of VAT Act; in other words, these obstacles and factors exert a considerable influence on the optimal implementation of the VAT Act. The innovation of this research is that a wide range of the obstacles and factors affecting optimal implementation of VAT Act were identified and ranked. Considering the resistance economy and increasing pressure of sanctions, identifying the obstacles and factors affecting optimal implementation of VAT Act can be a major step forward in boosting tax revenues and reducing the government's dependence on oil resources.
Zeynab Aeeni; Mahmoud Motevaseli; Kamal Sakhdari; Ali Mobini Dehkordi
Abstract
Explaining change has always been one of the greatest challenges in social sciences. With a particular focus on economic change, Schumpeter introduced novelty as the key to fundamental changes and subsequent economic development. Recognizing the corresponding epistemological foundations of a novel phenomenon ...
Read More
Explaining change has always been one of the greatest challenges in social sciences. With a particular focus on economic change, Schumpeter introduced novelty as the key to fundamental changes and subsequent economic development. Recognizing the corresponding epistemological foundations of a novel phenomenon is the starting point for understanding itself, its process, conditions, and prerequisites. Hence, in this paper, first we discuss the assumptions governing novelty and novel phenomena. Then, we compare the three major approaches used to explain entrepreneurial phenomena in the literature, namely neoclassic, neo-Austrian, and radical subjectivism, and we explain the appropriate novelty-based epistemological foundation of entrepreneurship. To better understand radical subjectivism, we discuss its five fundamental assumptions, namely “imaginative choice,” “plans based on past experiences and future expectations”, “heterogeneity and in equilibrium”, “the metaphor of the world as a kaleidoscope” and “the creation of order”. finally, the implications of these assumptions are set forth for future research on economics and entrepreneurship.
Elham Shadabfar; Fatemeh Bazzazan; Ali Asghar Banouei
Abstract
The Multi-Regional Input-Output Table (MRIO) provides comprehensive information on the economic statistics of regions, with help of which economic structure of regions and economic relations among them are determined. Since regional tables and statistics data of inter-regional trade, which are ...
Read More
The Multi-Regional Input-Output Table (MRIO) provides comprehensive information on the economic statistics of regions, with help of which economic structure of regions and economic relations among them are determined. Since regional tables and statistics data of inter-regional trade, which are necessary for the construction of multi-regional output tables, are not created by official institutions in Iran, using non-survey methods in regional Input-output literature is the only solution. The main aim of this paper is to provide a nine-zone Input-output table based on the CHARM method in Iran, and to estimate interregional trade. Regional accounts and the national statistical Input-output table in 2011 of Iran’s Statistical Center, have been used as statistical bases. The results of this study indicate that the total value of Interregional trade in Iran is 1000679 billion rials. The highest volume of interregional trade belongs to Khuzestan region is 337658, and the region of southern Alborz with a volume of 242225 and the lowest volume is related to the Azarbaijan region with a volume of 38,283 billion Rials. The largest volume of interregional trade of Iran is in the crude oil and natural gas sector, and then services. The highest volume of interregional trade in the Shomal, Azerbaijani, South-Eastern and Zagros regions are in the agricultural sector, Khuzestan region in the crude oil and natural gas sector, Fars region in the construction of petroleum products and chemicals, the south Alborze and Khorasan regions are in the service sector And the Central region in the manufacturing of metals and electronic and metal products.
Abolghasem Nader
Abstract
With regard to the role of resource allocation mechanisms on improving performance and the fact that the resource allocation conventional mechanisms are not effective, this article aims at developing a multi-stage process to explore the appropriateness of the mechanism through conducting statistical ...
Read More
With regard to the role of resource allocation mechanisms on improving performance and the fact that the resource allocation conventional mechanisms are not effective, this article aims at developing a multi-stage process to explore the appropriateness of the mechanism through conducting statistical simulations. For that purpose, we use five sets of data on the performance of higher education units (HEUs) and conduct statistical simulation employing data envelopment analysis (DEA) and the Malmquistindex. First, efficiency scores of HEUs have been measured, then, resources have been reallocated based on the efficient situation of the units, and finally the effects of reallocation of resources on productivity changes have been evaluated using the Malmquist index. Findings show that inefficiency is a dominant phenomenon across the higher education units. Reallocation of resources affects the performance of the units substantially depending on the type of mechanism implemented. Efficiency-based allocation mechanism is found to be the most appropriate mechanism which simultaneously increases efficiency and productivity. As a result, the simultaneous improvement of efficiency and productivity is recommended as a crucial criterion to evaluate the appropriateness of resource allocation mechanisms employing statistical simulation based on DEA and Malmquist index.
Mansour Zarra Nezhad; maryam karimi kanouleh; salah ebrahimi
Abstract
Investigate the factors affecting the smuggling of goods as well as its effects on macroeconomic variables has been one of the most important issues in the field of macroeconomics. Examining this issue and its results has an important role in policy making in the field of goods smuggling. Considering ...
Read More
Investigate the factors affecting the smuggling of goods as well as its effects on macroeconomic variables has been one of the most important issues in the field of macroeconomics. Examining this issue and its results has an important role in policy making in the field of goods smuggling. Considering this issue, the purpose of this article is to investigate the economic smuggling of goods as one of the obstacles to production using an empirical approach. Therefore, in this study, in addition to estimating the volume of goods smuggling in Iran using structural equation modeling during the period from 1350 to 1399, its impact on Iran's gross domestic product will also be investigated with a time series approach. The findings of this study showed that the average volume of goods smuggling in the period under review was about 22.53% of the official GDP. Also, based on other results of this study, smuggling as an obstacle to production has had a negative and significant impact on GDP in the 50-year period under investigation.
