جستجوی مقالات مرتبط با کلیدواژه « iran provinces » در نشریات گروه « اقتصاد »

Today, one of the policies that some developed countries have chosen in recent decades to deal with all kinds of problems in their society is the implementation of decentralization policy. In other words, the central governments observed that they could not perform their duties properly without the presence and role of local governments, and it is necessary that part of their powers in local and provincial areas be delegated to the relevant units. But the most important form of decentralization is financial decentralization, which has received more attention among economists and politicians in recent years. In addition to financial decentralization, the issue of social capital has entered the economic debate in recent years and has been given serious attention along with other capitals, and in Iran it has also been considered for development and growth. So, in this paper we analyze the effects of financial decentralization on social capital during 2011- 2019 period by using panel data model. The results shows that in the first model, income decentralization, per capita income and economic participation rate have a positive and significant relationship with social capital but inflation and business environment variables have a negative relationship with social capital. Also, the results of second model shows that cost decentralization, per capita income and economic participation rate have a positive and significant relationship with social capital but the variables of inflation and business environment have a negative relationship with social capital.

One of the most important challenges of economic development in Iran is the heterogeneous spatial structure of regional employment rates. Determining the factors affecting the provincial unemployment and identifying the effects of spatial overflow between provinces- including industrial aggregation- can be considered in planning and policies in order to improve employment and reducing heterogeneous distribution of unemployment rates between regions. This measure becomes more important due to the distribution of economic activities with the changing conditions and also the wide differences in the distribution of unemployment rates in provinces of Iran. The main purpose of this study is to investigate the effect of industrial aggregation on unemployment rates in Iran provinces during the period 2007-2016 by using a combined spatial econometric approach. Findings of this study confirm the existence of spatial dependence in research data and show that industrial aggregation has a negative and significant effect on unemployment rates in Iran provinces. In other words, the industrial aggregation index has an inverse and negative effect on the unemployment rate in the province, itself, and also on its neighboring provinces.

Poverty is a fundamental multidimensional phenomenon which has always been and is one of the most important detriments to societies and the root of the problems and hindrances of most parts of the world. Efforts to eliminate this social problem are one of the most prominent goals of economic growth and development; and despite economic growth in underdeveloped or developing countries, this problem persists. .Although growth in income, as one of the macroeconomic variables, has a significant effect on poverty and its reduction, but the existence of inequality and its effect on economic growth plays an important role in benefiting the poor from economic growth. In the process of economic growth, what reduces poverty is an increase in household income; thus, the distribution of income among households should be such that the poor also benefit from this growth. Therefore, economic growth is not sufficient to eliminate poverty on its own, and its effect on poverty is not the same at different times and places, and the manner in which the benefits of growth are distributed is significant as well. Inequality and poverty are two completely different concepts, but they are deeply related. Therefore, paying attention to economic growth and reducing inequality can have good results in reducing poverty. In recent decades, societies that have focused on both economic growth and reducing inequality have been much more successful in reducing poverty. In this regard, to understand the effects of economic growth on poverty, it is necessary to distinguish between the effects of economic growth on poverty and the effect of inequality on poverty. Then, the change in the poverty index is broken down into a change in average incomes and changes in income inequality to properly determine the contribution of income and inequality in poverty decrease.

in the present study, the effects of income and inequality and their resultant on reducing poverty in the provinces of Iran over a fourteen-year period, from 2004 to 2018, have been determined using the Sen Index, the Kakwani method, and various mathematical methods.

As confirmed by our study results, both income effects and inequality effects had performed in favor of the impoverished in the province of Yazd and led to poverty reduction, while in Kermanshah, Khorasan Razavi, Isfahan, and Zanjan the income effects and inequality effects have somewhat neutralized one another. In other words, even though the increase in the average income reduced poverty, the increased inequality led to increased poverty. On the other hand, the situation in the province of Alborz was considerably different. In this province, although decreasing the average income increased poverty, the improvement in income distribution not only eliminated the negative effects of the income share, but also reduced poverty. However, the income effects and inequality effects had moved in the same direction in Gilan, Khuzestan, Fars, Hamedan, Chaharmahal & Bakhtiari, Lorestan, Tehran, Qom, North Khorasan, and Sistan and Baluchestan, to increase poverty. Finally, in other provinces, the distribution of income has changed in a way that despite the increase in average incomes, poverty increased.

Therefore, as the research findings show, poverty has decreased in only a few provinces during the period under review. And the inequality effects and the income effects, or both, have led to increased poverty. Therefore, in order to reduce poverty, economic growth and reduce inequality must be given much attention.

Regional unbalanced growth and the factors affecting it are one of the most important economic issues in developing countries. One of the characteristics of developing countries is the presence of significant regional inequalities. The existence of this phenomenon is one of the main impediments to balanced development in these countries. One of its specific consequences is the creation of inequalities and the consolidation and expansion of deprivation. Inequality alongside widespread poverty can provide grounds for public discontent and thus be one of the concerns of socio-economic policymakers. Considering the importance of balanced regional development in the country and the environmental-spatial potentials and political characteristics of the provinces, this study considers the effects of environmental and political factors on the distribution of inequality in provinces of Iran, considering the neighborhood effects.

Theoretical framework:

Environmental differences play a decisive role in the distribution of regional inequality. At the early stage of economic development, environmental conditions are one of the most determining factors. For example, favorable environmental conditions are often the basis for rapid growth in developing countries. Although the effects of environmental conditions on regional development at higher levels are less pronounced, the specific functions of these factors are still unknown in many countries. In economic literature, several environmental factors influence and are influenced by the distribution of regional inequality. Variables such as cities with coastal boundaries, commercial areas, tourism, water resources, railways, border areas and urban development are among the areas considered in regional studies. Modern governments, unwittingly or unwillingly, engage in various economic policies such as monetary policy, fiscal policy, and commercial policy. Applying these policies shift interests and the pattern of income distribution and create winners and losers across different segments and groups of society, thereby changing regional inequalities.

Spatial inequality refers to situations in which different spatial or geographical units of some variables are at different levels. In the present study, after investigating the regional inequality with regard to the effects of spillover in the provinces, an assessment of the environmental and political factors on it during 2006 to 2015 has been examined. The explanatory variables were compiled according to the purpose of the study, based on environmental and political factors that cause regional imbalances and also according to the statistical constraints of the country. According to the theoretical foundations, identifying variables in previous studies as well as statistical feasibility in the country, from three models has been used to investigate the impact of environmental and political factors on regional inequality.The variables used include urban index, dummy variable for business areas, tourist and religious centers, the logarithm of GDP, ratio of government expenditure to GDP, Ratio of education cost to the government expenditure and the members of parliament.

The evaluation of Population-Weighted Coefficient of Variation (PW-CV) indices show that Iranian provinces during the research period have been very inadequate. The results of estimating Spatial Autoregressive with Autoregressive Error (SARAR) regression models indicate a strong spatial dependence among the provinces. So that the inequality index of each province with an approximate coefficient of 45% is affected by the economic inequality in neighborhood provinces. In the analysis of environmental factors affecting regional inequality; urban development, water resources and tourism have a negative relationship with provinces' inequality and as each of these factors increases, the inequality index of the provinces will decrease. But religious and commercial provinces have a positive impact on economic inequality; as a result, inequalities are higher in these provinces. Results of the estimation of the impact of political variables on regional inequality show that the provinces with a more gross domestic product, have a higher inequality index. Moreover, the larger the size of the government in the provinces, the more economic inequality. Also, increasing the share of education costs from provincial budgets increase regional inequality and in the provinces where the number of members of parliament is higher, there are more economic inequalities.

Conclusions and suggestions:

According to the results of the present study, the importance of the distribution of inequality in different provinces and the effects of neighborhoods with regard to environmental and political factors are overemphasized. Governments and trusted entities in different areas can be more successful in delivering social justice and reducing regional inequalities by designing and implementing management policies tailored to each province's environmental and political potentials. Managing water resources, paying attention to tourism, controlling suburbs in big and religious cities, and implementing income redistribution policies are some of the policies that can be implemented in environmental and operational areas. Reducing government tenure and administrative bureaucracy are also some of the factors that will be effective in reducing regional inequalities.

One of the main problems of Iran’s economy is the high unemployment rate. Thus, recognizing the factors affecting unemployment is an important step to reduce the social undesirable effects of unemployment. The study investigates the spillover effects of industrialization on unemployment by using the provincial-level data for the 2006-2015 period and the spatial econometric approach. Evidence from the model estimation shows that industrial development and economic growth have a negative and significant effect on unemployment, but the effect of the population on unemployment is positive and statistically significant, as a one percent increase in industrialization and production, the unemployment rate is reduced by 0.089 and 0.098 percent respectively. The spillover effects of industrialization are negative and insignificant and this is due to the lack of fundamental development of industry in the provinces of Iran. Therefore, the development of industry in each province based on relative advantages and land-using policy, improving the quality of the educational system to empower the workforce is the effective policies for reducing unemployment.

In an economy system, government activities play a fundamental role in economic growth and development of countries, but increase these activities have a positive effect on economic growth until a certain threshold and from this threshold excessive increase in government activities not only have no positive effect on economic growth, but these activities are main barrier to growth.
Including of these activities, can mention the government''s capital expenditures and public debt. In this study, is tried to study the threshold effects and non-linear government investment and public debt on GDP in two separate models during of 2000-2016 using of provincial data and Panel Smooth Transition Regression Model (PSTR).
The results of linearity test show that there is a nonlinear relationship between variables. Also, the inclusion of a transfer function with a threshold parameter which is representing a two-regime model, is sufficient to determine the nonlinear relationship between variables. The results show that public debt and investment in first regime have a positive effect on GDP, but by crossing of threshold and entering to second regime, severity of this effect will be increased and negative. It seems, this result is due to the crowed-out effect on private sector and increase in public debt due to rising government spending and confirms Laffer curve hypothesis.

"Rebound effect" is a term that implies by improving energy efficiency, the real cost energy services per unit decreases and therefore demand increases for energy services. Hence, the potential energy saving and reducing CO2 emissions from improving efficiency will be offset. The main objective in this study is the calculation of direct CO2 rebound effects from improving energy efficiency in the transportation sector, which was conducted for Iran provinces during the period 2006-2015 in three stages; First, by using the Slutsky equation, computational formula direct CO2 rebound effects is extracted, and then with estimated price and income elasticities of demand in the transportation sector, the direct CO2 rebound effects was calculated for the 30 provinces in ten years. The results show that the rebound effects due to the implementation of the elimination of energy subsidies and increasing fuel prices, have a trend convergence and declining effect (on average 2/51 to 1/09 percent).
JEL Classification: C51, C23, Q41, R41

Considering the investment importance in the economic sectors and its impact on the macroeconomic variables, including production and employment, and due to limited resources in the economy, the study of the efficiency of capital employed in the society by the private and public sectors have particular importance. Therefore, in this research, the effects of private and public investment on employment in 30 provinces of Iran, during the period of 2005-2015 were investigated using generalized moments method and by three different models: private, government and general employment. The results of private employment model estimation indicate improving labor market caused by increasing private employment, which is a positive relationship not only in the current period but also as a function of past investment. In the estimation of general employment model, public investment effect in the current and past period on employment of this sector has been negative and significant. In other words, investments made by the government have not been able to improve the employment market and solve the unemployment problem. This result is even evident in the total employment model. The simultaneous study of private and public investment and its impact on total employment indicate positive effect of private investment and the negative effect of general investment on total employment.

Urbanization is a structural transition from rural to urban areas which have been influenced by energy consumption of various channels. Explaining the relationship between energy consumption and urbanization and specifying the amount and how it can influence policies in the energy sector and policies of the population is helpful. This study uses the generalized STIRPAT model to examine the role of various channels which are affect the energy consumption. These effects are estimated at the short and long-run through the Panel Auto Regressive Distributed Lag with data of 30 provinces during 2004-2015. Moreover, the vector error correction model of energy consumption and other explanatory variables are investigated. Our results show that there is a two-way relationship of positive and significant between energy consumption and urbanization in the short and long-run. Also in this study, Kuznets hypothesis regarding in the U inverse relationship between urbanization and energy consumption is not rejected and it can be said the relationship between these two variables is a positive relationship but decreasing. Also, the effect of other variables such as income per capita, technology index and the number of vehicles on energy consumption are positive and significant.

Today, competitiveness has become one of the most applied concepts in regional and urban studies. The reason, why much attention has been devoted to this concept is the changes in the world economy, demographical changes of countries, changes in social structures and activities. This research aimed to conduct a spatial analysis of competitiveness of Iran provinces based on educational factors. In terms of scope, this research is an applied study and in terms of nature and research method is descriptive analytic one. 75 factor from education section of national population and housing consensus of 1390 (2011) have selected and analyzed. For analyzing Coefficient of Variant (C.V), VIKOR and geographically weighted regression in the Arc GIS were used. The research findings indicate inappropriate distribution in the educational factors between provinces of Iran. Totally, 46% of educational factors distributed in unsuitable way, and Sistan and Baluchestan, Kurdistan and Ilam provinces are in most inequality but in turn, West Azerbaijan, Isfahan and East Azerbaijan are in the good situation. Final results shows that, in terms of educational competitiveness, Tehran province is in the first level, Razavi Khorasan, Khuzestan, Fars, Isfahan, East Azerbaijan, Kerman, Mazanderan provinces are placed in the second level, and in the third level Gilan, Sistan and Baluchestan, West Azerbaijan, Lorestan, Hormozgan, Golestan, Kermanshah, Hamadan, Markazi, Kurdistan, Alborz, Qazvin, Ardebil, Kohgiluyeh and Boyer-Ahmad, Boushehr, Yazd, Chaharmahal and Bakhtiari, Zanjan, Semnan, South Khorasan, Qom, Ilam and North Khorasan provinces are located. Overall conclusions indicate that development situations of Iran provinces in terms of educational factors are not in good consistent with concepts of social and spatial justice and required bottom-up approach and decentralized planning. Moreover, economic growth depends on establishment of performance-oriented education system.

Value Added Taxes, as a suitable substitute for all types of sales taxes, despite the benefits, lead to disadvantages such as the pressure on the general level of prices (Ikpe & Nteegah, 2013). As inflation has always been one of the most important problems in the Iranian economy, it was a concern that in a situation where the country faces a severe structural inflation and inflationary sanctions, will the implementation of the value added tax program increase inflation?
Taking into account the predictions made by the researchers and the executives of the project, we aim to study the issue. 7 years have passed since the VAT was implemented, therefore, it will be necessary to survey the effects of this tax. This paper will survey the inflationary effects of VAT in Iran provinces.
Theoretical Framework: Implementation of value added tax (VAT) from two direct and indirect channels affects the general level of prices. Since the value added tax is an indirect tax based on consumption, a portion of this tax burden is imposed on the final consumer. As a result, implementation of VAT, at least in the early stages, directly leads to a leap in the price of goods and services that are taxed.
Also, the implementation of the value added tax affects the general level of prices indirectly by affecting determining factors of inflation, such as liquidity, expectations and production costs. Experiences of different countries in controlling inflationary effects of VAT show that there are two issues in this regard. The first is which tax does VAT replace? (Which taxes have been eliminated) and the second is the country’s monetary situation (Tait, 1988). If the value added tax replaces one or more direct and indirect taxes, it does not impose a severe pressure on prices because the amount of tax received from the goods does not change much, and only the types of taxes and taxation methods change.
The study of other countries’ experiences shows that if inflation control is one of the main goals of monetary and credit policies and that the government in monetary and financial policies takes into account the issue of inflation, then the implementation of the VAT system along with the inflation controlling short-run policies can be made without a sharp increase in prices (Naderan & Ranjabarkey, 2008).
In order to test the hypothesis that VAT has a positive and significant effect on inflation in Iran's provinces, we use provinces variables such as inflation, effective rate of VAT, unemployment rate, current and construction, local government size, oil and without oil production per capita, and the ratio of deposits to production from 2008 to 2013. The Econometric hypothesis testing method is a multivariate regression analysis with panel data.
Findings: The findings show that there is a positive and significant relationship between unemployment rate and provinces’ inflation, which shows the stagflation in Iran's economy Moreover, the current size of the government has a positive effect on inflation, since an increase in government spending will lead to an increase in the budget deficit, public sector debt will increase, and will lead to an increase in the supply of money. Given the positive relationship between the general level of prices and liquidity, raising the money supply will lead to an increase in the general level of prices. Whatever the state budget allocates to development expenditures and government development expenditures by improving production and strengthening the supply side will cause macroeconomic surpluses and will reduce inflation. Since VAT affects the sale price of final goods, it is likely that sellers will conceive of increasing production costs and transfer tax burden to consumers. On the other hand, some manufacturers of goods that are not subject to VAT imagine that the tax on their goods and services will also apply and increase the price of their goods. Therefore, the findings show that there is a positive and significant relationship between the value added tax and inflation in the provinces of the country. The high ratio of deposits to production in the in the ceteris paribus situation indicates that people prefer to hold liquidity in banks. This liquidity will be driven by investment in the supply of various sectors of the economy and will reduce inflation. An increase in domestic production of oil will lead to an increase in the supply of foreign currency and, subsequently, a decline in the exchange rate. Due to the negative relationship between the exchange rate and the rate of inflation, the exchange rate cuts have led to an increase in inflation, and the negative relationship between oil production and inflation is justified. Also, the findings show that there is a positive and significant relationship between the oil-free domestic production and inflation in different provinces.
Conclusions and Suggestions: In this study, the inflationary effects of VAT were investigated using multivariate regression in panel data. For this purpose, after collecting provincial data, the inflation effect of VAT in a model with dependent variable of price level growth rate along with the major variables affecting inflation was measured. Given the positive impact of VAT on inflation, it is recommended that the government initially takes caution in increasing the VAT rate, and secondly, pay closer attention to direct taxes and alternative VAT taxes that have high incomes and low inflationary effect.

Discussion related to improving energy efficiency associated with a problem called rebound effects or Backfire effects, these effects occurs when improving energy efficiency increases energy demand (direct and indirect) in different sectors of production and consumption. This effect occurs when improving technology, resulting in increased energy efficiency. This increasing efficiency have a side effect; become cheaper energy services, that is real price of energy services reduced. With suppose the demand curve downward, service demand increases and part of the expected energy for saving, is consumed. Therefore, the predicted energy saving from improving technology, by increasing the demand for energy services somewhat decreased. The potential importance of the rebound effects are derived at macro level, that the effect somewhat reduces benefits of improving efficiency and perhaps affect effectiveness of such policies. Review of empirical studies on rebound effects suggests that these effects according to time and place and effect of different environmental variables can be large or small, however, this effect has been identified and proven. In addition, variety calculation and extraction of different numbers in the field reduces the range reliability. One of the ways calibrate this effect for policy makers, expansion scope publication of empirical studies in this field and used of various computational methods.
The main objective in this study provide models that based on theirs can estimated rebound effects of improving efficiency of gasoline and diesel fuel consumption in road transportation sector of Iranian provinces. For this purpose, three definitions for estimating the direct rebound effect is expressed. Because Iran is faced with extreme limitations of data such as vehicle efficiency and demand for useful work, in this study, to obtain direct rebound effect, has been used own price elasticity of energy demand. In addition to determine exact effect of fuel prices on consumption, has been used of two types of fuel common in the road transport, gasoline and diesel fuel in two separate models with two-stage GMM for data of 30 provinces (except the Alborz Province) during the period 2004-2014. Moreover, is used of per capita income, substitution commodity price, population and number of vehicles in the models.
First to the existence of spurious regression in models, it is necessary to be investigate stationary variables used in the model and also cointegration between variables. Evaluation calculated statistics and their acceptance probability indicates that gasoline and diesel fuel consumption and Gasoline-fueled vehicles in the level are stationary, but other variables by once differencing became stationary. Also results of Kao cointegration test indicates cointegration between variables. So long-run equilibrium relationship between variables and absence of spurious regression model, in both models will be verified. The results of an accurate diagnosis of models; Sargan test results confirmed validity of instrumental variables. Arellano and Bond test results indicates presence of first order autocorrelation and rejected second order autocorrelation in error sentences of first difference and thus there is no bias in estimation models. Wald test results indicates validity and significance of all estimated coefficients. The results show that direct rebound effects from improving of gasoline and diesel fuel consumption efficiency, is 6 and 2 percent, respectively. In other words, 6 and 2 percent of potential savings re-used, and 94 and 98 percent of the remainder is stored.
In this study, according to the scope of particular time and place that selected and it can be argued that price policies not could well be caused change in fuel demand. Because if the highly fuel cost per kilometer, in this case removal of fuel subsidies, is a more effective method in reduction fuel demand. But now that distance traveled by vehicle not be sensitive fuel cost per kilometer, Fuel economy standards, is not a more effective method in reduction fuel demand. And it is recommended to evaluate environmental performance standards, be used of clean alternative fuels and increase investment in fleet renewal. Because in this case efficiency obtained, efficiency will be stable.

The need for sustainable development is to have regional justice in development. The imbalance in the regional justice will be an obstacle to sustainable development in long term. Understanding the development of regions is the first step to eliminate the regional disparities. In the present study two periods 1390 and 1375 has been chosen to assess the level of developments of provinces. According to the research literature and access to data and information, various educational and cultural, housing and infrastructural, demographic and sanitary indicators has been selected, due to the each indicator, the necessary adjustments has been made. To determine the degree of the developments of Iran’s provinces, two methods of taxonomy and TOPSIS has been used. The obtained results show that despite the reduction in the standard deviation and range of the provincial development index, there are some regional disparities in Iran yet and center-periphery test pattern is confirmed for both periods. Due to the Potential differences in different regions, applying the same program for all areas is not possible. Accordingly it is recommended that in the context of national development plans, regional plans with a focus on regional capacities must be done So that sustainable development be achieved for all areas.