ارزش افزوده

Women, as half of the population, play a significant role in the development and growth of any country. The industrial sector has consistently drawn the attention of policymakers, with one of its key concerns being women's employment and the impact of related variables on their participation in this sector. In Iran, the labor market holds particular importance due to various economic and social factors. Over recent years, the supply of labor has consistently exceeded demand, a trend that is expected to intensify in the future, necessitating the evaluation and analysis of influencing factors. Moreover, the labor market is one of the four critical markets in the economy, given its profound influence on and interaction with other economic markets. The balance or imbalance of labor supply and demand serves as a crucial indicator of macroeconomic performance in any country. Given the importance of women's employment in Iran's industrial workshops, this article assesses the factors affecting women's participation in 24 industrial activities, categorized according to the two-digit codes of the International Standard Industrial Classification (ISIC), fourth edition. The analysis focuses on industrial enterprises employing 10 or more people during the period from 2004 to 2020. This research derives the labor demand function by minimizing the firm's cost function, in accordance with Shephard's Lemma. The findings reveal that value-added and employment levels from the previous period have a greater impact on women's employment compared to other influencing variables.

Undoubtedly, examining the manner and mechanism of impact of shocks caused by economic sanctions on the country's mining sector can help the officials and economic planners of the country to better face and reduce their negative economic consequences, including reduction in production and added value, reduction in employment, reduction in investment, etc., in the mining sector. Therefore, in this study, for the first time, the effects of shocks caused by economic sanctions (1. the shock of the increase in the exchange rate, 2. the shock of the decrease in the import of raw materials, capital and intermediate goods, 3. the shock of the decrease in crude oil export income and 4. The shock of non-oil export reduction) on Iran's mining sector. For this purpose, the required data was collected from the social accounting matrix and the Recursive Dynamic Computable Equilibrium (RDCGE) model was used to analyze the data. The results showed that among the shocks caused by economic sanctions, in order: the shock caused by the increase in the exchange rate, the shock caused by the decrease in the import of raw materials, capital and intermediate goods, the shock caused by the decrease in crude oil export income and the shock caused by the reduction of non-oil exports have the greatest impact on the added value and investment of Iran's mining sector.

Failure to carry out targeted changes with the guidance and effective presence of the government in the process of economic growth of the agricultural sector will lead to the failure to achieve the desired goals of the country's planning system in this sector, and its economic growth will stop due to the lack of capital and the rapid destruction of basic agricultural resources. In this regard, in the present study, using the time series statistics of 1981-2022 and simultaneous equations, the effect of the current and capital facilities of the Bank Keshavarzi (Agriculture Bank of Iran) on selected macro variables of Iran's agriculture (value added, employment, investment and net capital stock) has been investigated. results of estimation of model showed that the positive effect of current facilities on investment and value added of agriculture has been more than the effect of capital facilities, and only capital facilities have left a significant positive effect on the amount of agriculture employment. it is suggested that increase payment of cheap and easy facilities create Necessary incentive platforms for the tendency of other commercial banks to pay facilities to farmers and necessary platforms for the agricultural sector to benefit from foreign financial resources,

Economic freedom plays a crucial role in assessing a nation's economic development. It grants individuals or communities the ability to make decisions according to their own desires or intentions. Economic literature from the 1990s onwards has primarily focused on the quality of institutions and economic freedom for the development of countries' economies. Consequently, empirical studies have placed greater emphasis on this subject. The aim of this paper is to examine the effects of value-added in agriculture, industry, services, and foreign direct investment on the economic freedom index from 1990 to 2021 using a Quantile Regression approach. The results of this study indicate that the value-added in agriculture, services, and industry has a positive and significant effect on the economic freedom index. Furthermore, the study suggests that while foreign direct investment has a positive impact, it is relatively weak on the economic freedom index.

Today, the tourism industry is one of the main and stable foundations of the world economy, which can affect other economic and cultural activities by creating the maximum amount of added value. The tourism industry in Khorasan Razavi province can plan and use the province's domestic and foreign investment to develop this sector, grow production, create added value, and increase employment and income sources in the region. The purpose of this study is to investigate the amount of added value created by the main tourism activities of the province (each of the 12 tourism sectors). Another purpose is to analyze the effect of increasing investment on the value-added of the tourism industry. For these purposes, the updated input-output table of Khorasan-Razavi province (2018) has been used. The results were analyzed by considering two scenarios (proportional investment in all economic sectors of the tourism industry together, and investment in each economic sector of the tourism industry separately). The results showed that if investment in all sectors of tourism, increases by 100 billion rials simultaneously -in total equivalent to 1200 billion rials- (as analytical scenarios), 851718 million rials will be added to the value-added of province's economic activities; Of this amount, 95.5% of value-added creation is directly related to the 12 sectors of the tourism industry. The most direct effect of investment in value creation is related to the wholesale and retail sector, the arts, entertainment, recreation sector and Travel agency services sector, respectively. Also, if investment increases by 100 billion rials in each of the tourism sectors separately, maximum direct value-added creation, results from the "arts, entertainment, recreation" sector. The most important suggestions of this study were, Investing in forming groups and institutions in the province to produce, promote and starting various artistic, recreational and sports activities, investing in designing travel packages on specific topics in the field of travel agency services and providing accommodation services based on travellers' tastes.

In this article, we introduce three types of input-output tables and modify a central bank table from 2016 to illustrate the transition from the first generation of statistical bases to the second generation, which meets the new international trade theory’s database requirements. The third type of table is critical and is considered the starting point for such changes. Given the lack of such a table in Iran, this article offers three challenges, followed by three critical questions: first, what can be done if official compilers do not attempt to develop such an input-output table soon? Second, which of the two types of tables has more statistical errors than the modified tables? Third, which of the two input-output tables is better for measuring value-added content in gross exports? The central bank's most recent SUT and intermediate import utilization data from 2016 are utilized to investigate three questions. The data show that: calculating the third type of table can solve this lack of statistics. In comparison to the second table, the third table exhibits fewer statistical mistakes. Finally, the third type of table outperforms the second in terms of quantifying value-added content in gross exports.

Introduction Urban development plans create added value through urban planning and investment in infrastructure. Many urban planners, considering the changes in the value of real estate and land in urban development plans, have tried to regulate and implement methods that benefit the beneficiaries of urban development in the process of developing cities. require to pay at least a part of this added value to the city administration. In this regard, paying attention to the components of spatial justice to reduce inequalities is emphasized by urban planners. In this research, different approaches for obtaining added value resulting from the implementation of urban development plans and compensating owners from the point of view of spatial justice and methods of redistributing private benefits resulting from guiding the development of cities have been investigated. To achieve correct planning in urban development plans, one must have sufficient knowledge of the dimensions and number of factors affecting the added value resulting from the implementation of development plans. The analysis of the added value of urban lands indicates the multiplicity and complexity of factors affecting the value of real estate and city lands, such as macro-financial and monetary policies, urban management policies, inflationary trends, and the amount of supply and inventory of housing and urban services. In this research, the factors affecting the value of land and urban properties have been divided into internal and external variables. The internal variables of the added value of real estate and urban land include issues like the size of the plots, the location of the land, the condition of the property, and the owner’s investment. The added value is caused by public measures including various urban development projects, and the creation of urban infrastructure. It is only possible to study the effect of urban development plans on the value of urban land and real estate if the effect of other factors on the value of urban land is removed. So, in this research, the land price situation of the studied city (Golpayegan city in Isfahan province), in the year of preparation of the city development plan, was weighted and assigned a number between zero and one. In this method, land prices compared to other parts of the city were determined relatively. The same operation took place after the implementation of the development and urban planning of the city and in the year of preparation of the detailed plan. According to the standardized maps, at this stage, it was possible to analyze the changes in the value of urban land through GIS software.Materials and MethodsThis article is descriptive-analytical in terms of nature and content. On the other hand, this research is practical in terms of its purpose, because it can be applied to solve practical and real problems and has a practical application. In terms of time, it is also cross-sectional. In this research, the increase in the value of land and real estate due to urban development and development plans and different approaches to obtaining the added value of land in development plans have been investigated. Also, the changes in the value of urban land in Golpayegan city over 10 years (in 1390 during the preparation of the development and urban plan of the city and in 1400 after the implementation of the plan and the preparation of the detailed plan of the city) were investigated. Also, the amount of changes made in different uses and their distribution in the city was determined from the perspective of spatial justice. First, spatial justice criteria were identified in comprehensive plans and these criteria were evaluated from the point of view of urban planning experts and the urban planning experts who were involved in the preparation of urban comprehensive plans. Furthermore, 100 sample questionnaires were completed. The components of spatial justice were selected by evaluating more than 100 scientific sources that were most suitable for the topic. Finally, using the coding technique and semantic units, categories were compiled in the form of principles and criteria of social and spatial justice. According to the criteria of spatial justice, a questionnaire was completed in the form of 20 items corresponding to the criteria and metrics of spatial justice. The adequacy of the sample size according to the number of variables and using KMO data tests for factor analysis is equal to 0.773 which is an acceptable number. The analysis of the findings was done using the exploratory factor analysis technique. Spatial justice criteria have been examined using secondary analysis in the components of spatial diversity and equality and non-discrimination, attention to the needs of citizens and differences in favor of the deprived, participation and observance of citizenship rights, and transparency and agreement.FindingsAfter the implementation of the Golpayegan development plan, many things have influenced the changes in the added value of urban properties, including the determination of urban land use, the determination of the city limits and the creation of a road network, construction rules, and regulations and the zoning of the use of different uses. In the studied sample, determining and changing the use of urban land for profit and non-profit has directly affected the added value of urban land. In the parts of Golpayegan city where the density of commercial uses has been suggested, the changes in land value are positive and more than in other parts. From the comparison of the relative changes in the value of land compared to commercial uses, it seems that after the implementation of the plan, the increase in the price of land and real estate in the main axes of the city has grown more than in other parts. Of course, due to wear and tear and lack of attention to renovation, we see a decrease in added value compared to other sectors in the old commercial axes. Urban development plans within the framework of comprehensive and detailed plans, through the application of construction rules, determining the minimum or maximum area of land plots, and determining the ratio of the building to the land area, ground floor coverage, and density can help to achieve spatial justice. 
ConclusionThe results of the plan review and analysis show that the criteria of spatial justice in urban development plans are at a low level, and to understand the results of the increase in land value, it is necessary to analyze the relationship between planning approaches and spatial justice criteria.

Oil and natural gas production is not uniformly and homogeneously distributed across all provinces of Iran, whereas a major part of oil and gas incomes is consumed in provinces that do not have any significant role in oil and gas production. Therefore, any disruption in the production of oil and gas might expose the GDP growth of all provinces at risk. In this paper, the multiregional input-output table is calculated for the year 2015. Then, the hypothetical extraction method introduced by Dietzenbacher and Lahr (2013) is employed for estimating the effect of partial and complete extraction of oil and gas production in Khuzestan and other oil-oriented regions on the value-added of 71 economic activities in each of the regions. The findings reveal that firstly, following the extraction of oil and gas production in Khuzestan, the value added of this region reduces about %32 , while the extraction of the corresponding sector in other oil-related regions will mitigate this region’s value added by %14. Secondly, the relative reduction in the value added of economic sectors and each sector’s contribution of value-added reduction in each region depend on the economic structure of the interested region. The highest share of the total value-added reduction in each region belongs to the service sector in Tehran and agriculture in other non-oil regions. It seems that diversifying energy resources as well as supplying regions, enhancing fuel consumption efficiency, and renovating the transportation system are the most important policies to have more resilience.

Developing national policies and monitoring water management regulations must be socially desirable, environmentally sustainable, and economically appropriate for both government and industry. In the present study, for the first time, using data from the period 2002 to 2015 and the Generalized Fluid (GMM) method, in addition to examining the Kuznets hypothesis by considering water consumption in the provinces of Iran, the effect of value-added variables of industry and trade (As economic factors), urbanization, government size (as social factors), annual rainfall and temperature (as ecological factors) on industrial water consumption are discussed. The results indicate that there is no significant relationship between the amount of trade, value added of the industrial sector and its square with the water consumption of the industrial sector and the Kuznets hypothesis in the industrial sector is not confirmed. The results also show a significant inverse effect of government size and temperature and a positive and significant effect of urbanization and rainfall on water consumption in industry. Therefore, it is necessary for the industries of each province to be equipped with water quota management technologies in accordance with their local natural, social and economic conditions and water conservation should be encouraged.

The market capitalization of companies and stock prices can be significantly affected by various factors such as exchange rate fluctuations, liquidity, and economic value-added. Exchange rates have always been influenced by the supply and the demand behavior of actors in financial markets. On the other hand, Iran’s capital market development can be a way to absorb the liquidity for productive activities to achieve long-term and continuous economic growth. Accordingly, this study has investigated the asymmetric effects of macro variables and economic value added on Iranian stock returns by applying the NARDL approach and by using annual time series data during the period 1992-2019. The results show that the estimation model is nonlinear. The results show that the effects of exchange rate shocks, liquidity, and value-added on stock returns in the short and long term are asymmetric. Thus, one percent increase in positive and negative exchange rate shocks significantly affects stock returns (respectively 2.37 and 0.22 percent). One percent change in positive and negative liquidity shocks has a direct and significant effect on stock returns. Also, the asymmetric effect of economic value added as a national account proxy on direct stock returns is significant.

The goal of sustainable development is to maximize the value added of various economic activities while preserving the environment. On the other hand, economic growth requires energy consumption. With the increase in energy demand, the emission of polluting gases such as CO2 also increases. Emission of greenhouse gases is one of the important factors of global warming. Therefore, different governments are looking for ways to achieve sustainable development.Since 1885, CO2 emissions have been steadily increasing worldwide. In Iran, carbon dioxide emission follows an upward trend. On the other hand, due to Iran's oil-rich nature and the high energy loss in most of Iran's economic sectors, conducting studies on environmental efficiency in Iran is very important and necessary. Therefore, the aim of this study is to investigate the effect of environmental efficiency on the value added of selected economic sectors of Iran. For this purpose, firstly, the environmental efficiency of selected economic sectors (agriculture, oil, industry, transportation and household, commercial and general sectors) has been calculated by using the DEA method during the period 1997- 2019. After calculation of the environmental efficiency, the effect of this efficiency on the value added of selected economic sectors of Iran has been estimated by using the Panel- ARDL method.

THEORETICAL FRAMEWORK:

There are different views and studies about the relationship between environment and economic growth. A group of studies with dynamic optimization models seek to maximize consumers' utility, focusing on the effects of pollution and environmental degradation on the growth. Some of these studies focus on the natural resource curse. A group of studies considered pollution as one of the production factors. Some studies also analyze the relationship between pollution and economic growth through the Kuznets environmental curve.

In recent years, DEA is widely used to evaluate the performance of different units in various fields. The DEA method is a management method based on economic concepts that measures the efficiency of units relatively and compares units with each other. Equation (1) is presented to evaluate the environmental performance of selected economic sectors with a desirable output and an undesirable output (considered as input). The following model is an input-oriented model with constant returns to scale (CCR). In the above equation, I: index related to each sector, L: Labor, K: capital, Y: value added and CO2: CO2 emission. The reason for using the CO2 emission as polluting, is that the relatively high share of this environmental pollutant compared to other polluting gases in selected economic sectors. After calculation of the environmental efficiency, the Panel-ARDL approach is used to achieve the desired goals and examine the effect of environmental efficiency on the value added of selected economic sectors. First, by using different theories and experimental studies, the factors affecting the value added of selected economic sectors have been considered in the form of the following regression relationship: (2) In the above equation, ln:represents the natural logarithm. i and t show the economic sector and time, respectively. Y: is value added, L: labor force, K: capital, E total energy consumption and EF environmental efficiency calculated by DEA method.By explanation of the functional form of the model of factors affecting the value added of selected economic sectors of Iran, equation (2) examines the short-term and long-term relationship between variables in the ARDL format and in the panel framework. (3) In the above equation: i= 1, 2, ..., N represents the number of sections, t = 1, 2, ..., T represents the time period. : dependent variable and : explanatory variables of the model.

In this research, the environmental efficiency of selected economic sectors of Iran has been calculated by using linear programming. The results of the DEA model estimation show that the highest environmental efficiency is related to the agriculture and oil sectors and the lowest environmental efficiency belongs to the transportation sector. In the next step, the effect of environmental efficiency on the value added of selected economic sectors of Iran is evaluated with the Panel-ARDL approach.
The results of the Panel-ARDL approach show that the effect of labor on the value added of selected economic sectors in the short term is positive and significant. There is no significant relationship between labor force variable and value added of selected economic sectors in the long term. Due to the movement of economic sectors towards more use of new and advanced technologies, the total workforce will not have a significant effect on the growth of economic sectors.The effect of capital variable on the value added of selected economic sectors in the studied period is positive and statistically significant in the long term. The growth of economic sectors to increase efficiency, use new technologies, increase capacity to reduce costs, etc., requires capital in the first place.The variable effect of energy consumption on the value added of selected economic sectors is positive and significant in the long term, because energy consumption is required to perform any economic activity.The variable effect of environmental efficiency on the value added of selected economic sectors in the short and long term is positive and significant. The findings of this study show that increasing the efficiency of the environment and efficient use of resources will help economic growth.

 CONCLUSIONS & SUGGESTIONS:

In this study, in order to investigate the effect of environmental efficiency on the value added of selected economic sectors of Iran during the years 1997 to 2019, DEA and Panel-ARDL approaches have been used, focusing on CO2 emissions due to its high weight compared to other greenhouse gases. The results of the DEA model estimation show that the agricultural and oil sectors are efficient during the period under review. The transportation sector has achieved the lowest level of environmental efficiency compared to other selected sectors. The results of econometrics show that with the increase of capital and energy consumption, the value added of selected sectors also increases. In addition, the results indicate that by increasing the environmental efficiency of the selected economic sectors, the value added of the said sectors will increase in the long term. Therefore, if the selected sectors move towards sustainable development, in addition to environmental benefits and conservation of resources and environment, their value added will also increase.This study offers suggestions to reduce pollution and preserve the environment, such as changing production methods, using superior technologies by inefficient sectors, using low-carbon light fuels instead of heavy fuels, using non-conventional low-carbon fuels, and using incentives and punishments by the government.

The Tax Law includes an institution called "time lapse", in our legal system, there is another institution called "statutory deadline". Despite to the "statutory deadline", dispute settlement entities are not allowed to investigate  time lapse  without a request by the relevant taxpayer, and the restitution of paid taxes would not be possible through invoking this matter. Here, the question that arises is whether the above-mentioned institution has been called "time lapse" by negligence and whether this is in fact a statutory deadline? Although under Article (270) of the Tax Law, the demand for taxes after the expiration of the prescriptive period is considered as a breach of the law, and the supervision forces are allowed to deal with this case. However, this research, which is based on the descriptive-analytical method, reveals that this matter is due to the administrative nature of tax laws and it seems that tax dispute settlement boards are not allowed to investigate this issue without a request by the relevant taxpayer. Thus, the term "time lapse" is selected accurately. It seems that the submission of the bill of tax after the expiration of the statutory deadline would not interrupt the prescriptive period and the restitution of received taxes would not be possible. In addition, the issuance and notification of a tax to another source will cause the interruption of the prescriptive period.

Awareness of the structure and potential of different sectors in the Iranian economy is one of the important and effective factors for success in development planning. Service section is one of the most important section in a country’s economy that it operates as a development (growth) motor of other sections and its share is constantly increasing in the gross domestic product and development. Hence the effective factors on its added value has always been of interest to economists and politicians. On the other hand, investigating the direction and extent of the impact of liquidity changes on macroeconomic variables is always important to formulate and adopt appropriate macroeconomic policies. In this study, considering the share of service section in the gross domestic product (GDP) and employment in the Iran’s economy as well as liquidity volume mutations in the recent decade, we examine and analyze the direction and extent of the impact of value added of the service section from changes in the volume of liquidity by using time-series data on an annual basis during the period 1360 to 1395 dynamically. In this regard, the self-return model with Non-Linear Auto Regressive Distributed Lag (NARDL) and the threshold test approach has been used. The research outcomes confirm the existence of a long-term Cointegration between the variables of the model. Furthermore, the results show that liquidity volume changes’ shocks have a greater impact on the value added of the service sector in the long term. According to other research results, the effect of bank credit interest rate on value added of services sector is positive and significant and the attraction of value added of service sector is more than short-term and long-term interest rate of bank credits compared to changes in liquidity volume

The COVID-19 pandemic became widespread in most countries of the world in late 2019. In addition to human casualties, it has also affected the economies of countries. According to IMF, the world economic growth in 2020 was -3.5 percent. However, the GDP’s growth rate of the Iran economy for 2020 has been positive and was reported as 1.5 percent, but there is evident that the economy has been affected by the coronavirus.  In this paper, we evaluate the effect of the COVID-19 pandemic on the production, employment, and value-added of the economy of Iran by using the hypothetical extraction method of Dietzenbacher & Lahr (2013) and the Input-Output general equilibrium model of Zaytseva (2000). We have used the data from the input-output table of the Iran Central Bank in 2016 and the employment figures of the Statistics Center of Iran. The results show that the production and the value-added of the economy will decrease by 4.3 and 4 percent respectively. Among the value-added components, mixed-income and net operating surplus experienced the highest declining growth rate. Also, about 6.5 percent of the country's employees have been affected directly and indirectly by the Coronavirus.

Half a century after the oil crisis in the 1970s, there is still not any agreement among economists when it comes to the type and existence of any relationship between energy consumption and economic growth. In this regard, many studies have been conducted, and many methods have also been adopted to find this relationship, most of which are now proved to be inappropriate and inefficient. Having utilized a new causality approach proposed by Konya (2006), this study investigated the relationship between three energy carriers, natural gas, electricity, oil products, as well as considering the value-added of sixteen main industrial sub-sectors in the period 1995-2017, via the bootstrap panel approach. Comparison to the traditional methods, one of Konya's merits is paying attention to the two categories of heterogeneity of coefficients and cross-sectional correlation, making the estimation of parameters more efficient. The results show that in five sub-sectors of the industry, including “rubber and plastic”, “other non-metallic mineral products”, “manufacture of machines and unclassified equipment”, “machinery generator, electric transmission, and unclassified electrical appliances”, “manufacture of motor vehicles, trailers and semi-trailers” there is a one-way causal relationship from value-added to natural gas consumption. On the other hand, in an industrial sub-sector of “manufacture of chemical products”, this relationship is two-way. Also, there is a lack of causal relationship between electricity consumption and value-added in sixteen industrial sub-sectors. Moreover, a one-way relationship from value-added to the consumption of oil products can be seen only in the industrial sub-sector of “manufacture of other transport equipment”. According to the results of this study, it seems that energy consumption is not dominant in the economic growth of the Iranian economy, and the government can adopt necessary policies regarding energy price liberalization and demand management without worrying about its dire consequences.

According to the expansion of trade and the dependence of the production chain in economic subsectors on international trade, exchange rate fluctuations can have a great effect on the international trade and, consequently, on the value added of economic subsectors. Therefore, the main purpose of this study is to investigate the relationship between exchange rate fluctuations and value added of economic subsectors in Iran. For this purpose, the time series data for three main economic sectors and 12 selected subsections in the period 1971-2017 have been used. To estimate the coefficients, first the exchange rate fluctuations are calculated by TV-GARCH method and the total demand shocks is extracted using the Hedrick-Prescott filter and then the ARDL model is applicated to estimate the short and long run coefficients. The results show that exchange rate fluctuations follow a model with time varying coefficients. Exchange rate fluctuations in the short and long term have a negative and significant relationship with industrial value added, exchange rate fluctuations have no significant relations with value added of the service sector, and in the short and long term have a positive and significant relationship with value added of the mining sector. Also, the relationship between exchange rate fluctuations with some industrial subsectors are not compatible with theoretical literature, for example food and beverage industries have a positive and significant relations with exchange rate fluctuations in short and long run. Furthermore, chemical subsector value added in short have a significant negative relationship with exchange rate fluctuations but insignificant in long run.

Increasing final demand in the economy is one of the variables affecting production and value-added growth. Accordingly, the purpose of this study is to investigate the effect of final demand components on changes of value-added with emphasis on the role of exports between 2011 and 2016 using the Structural Decomposition Analysis (SDA) approach in the input-output model. The statistical bases of this study are two input-output tables of 2011 and 2016. The results of the model showed that the change in the structure of exports (with the volume of exports being constant) between the two years under study has increased the value added of the whole economy by 73662.31 billion Rials. The decrease in the volume of exports between the two years has also reduced the added value of the whole economy by 12443.2 billion Rials. The most positive effect of restructuring belonged to the three sectors of "transportation and communications", "wholesale and retail" and "water, electricity and gas". The value- added of these three sectors due to this factor has increased 92481.94, 88672.52 and 45720.77 billion Rials, respectively. On the other hand, the value-added of the two sectors "crude oil and natural gas" and "chemical, rubber and plastics" have the greatest negative effect of the restructuring of exports. The value- added of these sectors due to this factor has decreased by 260550.29 and 12312.67 billion Rials, respectively.

Iran, as a developing country, has extensive energy resource types and is considered as an example of economic growth model based on natural resources. The industry is considered as one of the major sectors of energy consumption in the country, and determining the relationship between energy consumption and economic growth is one of the important issues in this field. In recent years, however, energy has become an interesting topic for researchers, only a limited number of studies on energy consumption have been undertaken in the industry. Therefore, this study seeks to evaulate the relationship between energy consumption and value added in industrial sub-sectors of Iran. The main aim of this research is to identify the relationship between total energy consumption and industrial sub-sectors value added of Iran during the period 1995-2017. The panel Granger causality was used to investigate the causality between variables based on the bootstrapping approach to accurately evaluate the results. The outcomes indicate that there is no causality between total energy consumption and value added growth in industrial Sub-Sectors. Therefore, the rising in energy consumption does not cause a growth of value added and saving policy can be used without any decrease in value added growth. Value added growth cause energy consumption in two main industrial sub-sectors. Thus, any increase in value added causes a rise in total energy consumption, and it is essential to prioritize these sub-sectors in all industry-related policies.

Export is one of the variables affecting the growth of output and value added in the economy.Therefore, the purpose of this study is to investigate the effect of changes in export structure on value added and Compensation of Employees in different sectors of Iranian economy between 2001-2011 using SDA model. Input-output tables of Iran in 2001 and 2011 were used as statistical base for this study. The model results show that changes in export structure (with a constant volume of exports) has reduced the value added of the economy by 30384.7 Billion Rials. The change in the level of exports (with a constant structure of exports) has increased the value added of the economy by 10880412 Billion Rials. The three sectors including "Residential & Business Services", "Machinery" and "Chemicals, Rubber and Plastics" had highest increase in value added due to the change of export structure. Increase of value added in these sectors was 11303039.24, 99749.42 and 6674.78 Billion Rials respectively. Other results of the study showed that export restructuring has caused an increase of 1793.84 Billion Rials in employee compensation in economy.The three sectors, including "Chemicals, Rubber and Plastics", "Transport and Communications", and "Machinery" had the most positive effects from export restructuring. The increment of compensation of employees in these sectors was 1999.00, 1323.00 and 365.19 Billion Rials, respectively.

This paper aims to analyze the long-run effects of Iran's tariffs reduction on the value added in agricultural, industrial and service sectors. The study is conducted in the framework of accession to the WTO and by applying the Dynamic Computable General Equilibrium (DCGE) model. To this end, the model is first calibrated using the data base of the 2011 Social Accounting Matrix (SAM). Next, the model is simulated as a rival scenario on the basis of the market access commitments of 22 developing countries acceded to the WTO. Under the Business as Usual (BaU) scenario, the economy, without joining the WTO, is supposed to be developed at the rate of the population growth (2 percent) annually. The results indicate a substantial reduction of the value added in industrial and services sectors following accession to the WTO, but there is a moderate growth in the value added of the agricultural sector after a decade of slow reduction. By the third decade after accession to the WTO, the value added in the industrial and service sectors under the rival scenario will be respectively 80 and 55 percent less than the value added under the BaU scenario. The average value-added growth of agricultural, industrial and service sectors under the rival scenario are found to be 0/5, -3/4 and -0/7 respectively.