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Considering multifaceted nature of "information", it has been introduced into different terminologies by the different researchers during the last three decades. In this article, we attempt to examine empirically the measurement of a sub-set of "information", namely “Primary information sectors (PIS)”, which requires the following factors: definition and conceptualization, methodology, Process of estimation, and data requirements. Based on the 99 sectors of input-output table derived from a 2002 version as well as the availability of the results from the 2002 manufacturing Census of the country; the size, importance, and scope of the PIS of Iran have been worked out. The results indicate that the shares of PIS in gross output, value added and final demand are 8, 10.2, and 8.6 percent respectively. However, these percents are relatively less than those shares found in the selected developed and developing countries over the 1960s, 1970s, 1980s, and 1990s.

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The 2006 census reveals that more than 50% of employed population in Iran is not involved in the production of food, clothing, housing and other tangible goods. Apart from the serious reservation of industrialization in Iran, this can be considered as one of the indications of a new phase shift known as “service economy”. To analyze such a post-industrialization economy, it requires new concepts and classifications which, to our knowledge, have been ignored by researchers mainly in Iran. The main objective of this paper is to measure and identify the domain of the fourth sector and its structural analysis in the framework of input-output and semi-social accounting matrix models. Using 2001 input-output data, the overall results show that the fourth sector appears to be oriented as a consumption goods sector compared to the other sectors. Consequently, the consumption-induced effect ploys a significant role in rising production, income and employment.

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The lack of statistics has hampered attempts to estimate fixed capital for the agricultural sub-sectors of Iran. Giving a non anonymous agreement on the depreciation rate of capital in machineries and constructions, an indirect method of estimation is employed using capital consumption statistics in different sub-sectors of input-output tables. In this study, capital stock is estimated in agricultural sub-sectors of Iran using the perpetual inventory method. According to the results of this paper, the capital stock in 2006 is estimated to be 53374.9 billion rials in cropping and horticulture, 24334.6 billion rials in animal husbandry, 4982 billion rials in forestry and rangelands and 16374.2 billion rials in fishery sub-sectors at constant 1997 prices, respectively. The findings based on the five year development plans of the country revealed that over the third development plan, the total agricultural capital stock, both in machinery and equipment and constructions, experienced the highest growth while during the second development plan, the machinery and equipment capital stock experienced the lowest growth. Moreover, during the first development plan and over the eight year war, the construction capital stock experienced the lowest growth.

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Manufacturing sector has an outstanding potential in production, employment, value added and income. This sector also procures machinery and equipment for other sectors .Since a large part of the government investments are allocated to the manufacturing sector; it needs special consideration for the optimum allocation of the limited resources. In this study we have surveyed various strategies covering import substitution, export promotion, basic export and balanced and unbalanced growth. With regard to Iran’s situation and characteristics such as resources, specialties, infrastructure, the unbalanced growth pattern is recommended. The input-output backward and forward linkages have been investigated via the input-output table. Different techniques have been used such as principal component, factor analysis and numerical taxonomy.

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The purpose of this study is to find the key Iranian sectors in terms of output and employment. This research is done based on the Input-Output table of the year 2001 and Extraction Method. In this regard the economic activities are aggregated into 36 sectors. The results show that Forward and Backward output linkages were significant in five sectors namely agriculture, construction, wholesale and retail services, transport and other services. Forward linkages were strong in six sectors including oil and natural gas, mines and chemicals and petrochemicals, nonmetallic minerals, basic metals, water, gas and electricity as a group. On the other hand, backward linkages were very strong in four sectors such as food industries, transport equipment and machinery, education and health services and public services. Estimating the direct and indirect employment generation shows that agriculture, construction, wholesale and retail services, food industry, transport, education and health services and transport equipment are the main employment generating sectors. Spearman Rank Correlation Coefficient is also used to find out if there is any correlation between high ranking activities in output and employment. The results also indicate that there is a high rank correlation between backward output linkages and employment generation but week forward output linkages and employment generations. This shows that those activities which serve other activities in domestic market through its backward linkages are more important in output and employment generation. The weak rank correlation between output and employment generation indicate that these activities are highly depending on domestic demand but do not have much linkage with other sectors in the domestic economy, perhaps due to their dependence on imports for their inputs. Total average rank correlation between key sectors in output and employment generation shows a very weak correlation between the two, indicating that the sectors generating high linkages in output are also the same activities creating linkage in employment. The research findings reveal that how an oil producing country, using its oil revenues for imports and leading the expansion of wholesale and retail activities, transport services and public services in education health and other bureaucratic administration services, undermines the development of its manufacturing industries which are labeled as “engine of development”.

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The statistical data of Tehran Province shows that the ratios of output and employment of service sector to total provincial output and employment are 57 and 63 percent in 2001, respectively. The aim of this article is to quantitatively explain the structure of service –based economy of province, using Input-Output Model and intersectional linkages by Eigen Vector method. So, the main question in this research is that can the usage of Eigen vector method rather than traditional methods like Chenery-Watanabe and Rasmussen methods evaluate more precisely the importance of provincial economic sectors on the basis of intermediate viability in the production process?     For this purpose, first the Input-Output Table of “Tehran Province” for 2001 was estimated by AFLQ method, and then the importance of provincial economic sectors was measured in terms of forward and backward linkages by Chenery-Watanabe, Rasmussen and Eigen vector methods.     The results show that Eigen Vector Method can explain the importance of economic sectors of province on the basis of intermediate viability in the production process, in such a way that four key sectors are of dominant shares in industrial activities which their average share of demand out of total output is 45.5 percent, but ratios for 71 economic and service sectors are 76 percent and 84 percent, respectively. In general, results show that the nature of service sector in Tehran province is different from the services in modern economies. The main reason is that the service sector in Tehran is the consuming rather than producing sector.

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The value-added tax (VAT) system has been implemented in more than half of countries in the globe during recent decades. This tax, which is collected from firms’ value-added in various phases of production and distribution, has several advantages such as low tax rate, reduced tax evasion, neutrality against economic variables, and it is a reliable source of earning for government. Those countries that have not pursued VAT or those who implement it with delay are of concerns including after-tax inflationary effects.    The main goal of current research is to investigate the inflationary effects of VAT implementation in Iran’s economy. In this regard, a price model was used to analyze the inflationary effects of a VAT -with 3% tax rate and special rates for particular goods- on different economic sectors in 2010. In addition, VAT effects on tax performance evaluation indicators were considered and the amount of increases in government sustainable revenue was determined by an Input-Output (I-O) Table.    

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The aim of the present study is to compare the regional differences of the intermediate factors productivity in production of various economic sectors.  For this purpose, first the regional input-output tables of all provinces of Iran have been extracted based on the Adjusted Flegg Location Quotient (AFLQ). Then, the intermediate factors productivity of all provinces has been calculated and compared with those of Tehran province. According to the results, “manufacture of food products, beverages and tobacco products”, “constructions”, and “manufacture of textiles, wearing, and leather” sectors have the lowest regional differences in the intermediate factors productivity, respectively. Also, “mining”, “activities of real estate agents, brokers, and renting and business”, and “electricity, gas, and water” sectors have the highest regional differences of the intermediate factors productivity, respectively.

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In this paper, modeling and design of a trajectory tracking control system for a novel multi-rotor UAV (Unmanned Aerial Vehicle) is developed. The UAV is similar to a quadrotor with an extra no feedback propeller which is added to center of vehicle. The additional rotor improves the ability of lifting heavier payloads, and anti-crosswind capability for quadrotor. For validation, the dynamic model is obtained via both Newton Euler and Lagrange approaches. The dynamical model is under actuated, nonlinear, and has strongly coupled terms. Therefore, an appropriate control system is necessary to achieve desired performance. The proposed nonlinear controller of this paper is an input-output feedback linearization companioned with an optimal LQR controller for the linearized system. The controller involves high-order derivative terms and turns out to be quite sensitive to un-modeled dynamics. Therefore, precise model of UAV is derived by considering actuator’s dynamics. To compensate the actuator’s dynamic and moreover, to avoid complexity in the controller, a second control loop is utilized. The obtained simulation results confirm that the proposed control system has a promising performance in terms of stabilization and position tracking even in presence of external disturbances.

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As one of the most important products of Iran, pistachio has a significant share in non-oil revenues. Its annual foreign exchange earnings are over 800 million dollars. However, production of this nut in the country’s major production centers is faced with many problems regarding the efficiency and productivity of the inputs. This study was performed by using two-stage cluster sampling method. The results showed that with the increase in energy carriers’ prices, the farmers of the region would tend to use the optimal amounts of inputs in the long term, thus, reducing energy consumption from 46,016.72 to 31,092 MJ ha^-1. Also, the present values of energy productivity, its efficiency, and specific energy of, respectively, 0.03, 0.42, and 35.05 MJ kg^-1 would be optimized to 0.07, 1.10 and 13.47 MJ kg^-1. Besides, it was revealed that the net energy, which was negative under the existing condition (-26,532 MJ), would increase to 3,160 MJ following the increase in the price of energy carriers. Above all, the non-renewable energy consumption would be reduced from 39,743 to 26,457 MJ. Of course, to achieve the mentioned results, government support of farmers in the short term is necessary in order to facilitate and expedite the change in technology.

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The possible costs and benefits of trade liberalization generate essential problems for the developing countries and make free trade dubious. A major problem for developing countries is to create jobs in sectors supported indirectly by imposing import tariffs. This study aims to investigate the potential effects of the tariffs’ elimination of agricultural imports on the job creation of this sector and other sectors using 2011 input-output table.  For the whole economy, the results show that private sector experiences 5.5% and 9.81% reductions in direct and indirect employment, respectively. On the other hand, public sector faces with 2.63% and 4.59% reductions in direct and indirect employment, respectively. According to findings, the reduction in direct employment is bigger than that of indirect employment. 

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Sometimes, economic restructuring can cause the significant conservation of energy. However, any restructuring has specific costs, which may eliminate the benefits of reducing energy consumption. This article aims to measure the implicit exports of energy carriers’ subsidies. To this end, the consumption of energy carriers in Iran is briefly investigated. The implicit exports of energy subsidies are calculated using the input-output table in 2011 (prepared by Statistical Center of Iran) over the period 2008-2016. To do this, the net exports of energy content of goods and services are determined by the price gap approach based on the consumption basket at 2004 prices.  The results show that the production costs in the industrial sector has been influenced by welfare effects resulting from targeted subsidies and rising energy carriers’ prices, and a large portion of energy carriers' subsidies has been implicitly exported.  Indeed, energy subsidy as an exporting good has served as a source of income for the rich. Thus, one of the roles of energy subsidy in Iran is to provide foreign exchange, which makes it possible to import all kinds of goods and services to the country.

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One of the basic functions of input-output analysis is to identify the economic structure of regions and countries. This research seeks to identify the key sectors of Iran's provinces and to compare them with national key sectors. The data is extracted from the national input-output table and regional accounts of the Statistical Center of Iran in 2011. The results show that based on the "total gross backward and forward linkages" criterion, there are 17 and 20 key sectors, respectively, with and without considering the "dispersion of the linkages", at national level. With same criterion, every province has at least one and two key sectors, respectively. However, some key sectors of provinces are not listed as national key sectors, and are not included in the central planning. On the contrary, a number of national key sectors are not categorized as key sectors in the provincial level. In addition, due to the larger usage of national resources in key sectors, the provinces with more common key sectors with national economy have higher GDP per capita. Thus, it seems due to inconsistency between some regional economic structure with national one, considering the provincial key sectors in national economic planning leads to optimal use of national resources through increasing the GDP per capita and decreasing the interregional disparities.

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To prevent gasoline smuggling to abroad and its excessive consumption in the country, the price of gasoline increased and gasoline was quoted in 2019. This policy has affected the consumption expenditures of different income groups of households. To compensate the expenditures increment, the government pays subsidies to some income groups of households. This paper investigates the effects of this policy on the consumption expenditures of different income deciles in urban and rural areas and compares them with gasoline subsidies. To this end, a developed version of implicit subsidy elimination model is employed. The input-output table of Iran for the year 2016 is used as database of the research. The results of the research indicate that the subsidy of the government will cover the consumption expenditure increment due to its gasoline price policy for all target income groups. However, this policy fails to compensate the increment of the consumption expenditure in the case in which the labour force and capital owners adjust their endowments and the exchange rate is changed with respect to domestic price inflation. 

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Introduction:
In order to evaluate the socioeconomic development, various criteria are used to evaluate the livelihood, welfare, and social changes of human life. The economic progress is one of the important dimensions of development. The social dimension of development, which leads to the creation of justice for different members of a society, is another important aspect of development, and the realization of this goal requires planning. Land planning, which seeks to pay attention to regional potentials and differences, is a step in this direction. Ignoring these capabilities will lead to resources waste, intensifying regional dualities and negative consequences. For this purpose, the aim of the current research is to identify the key sectors of the economy of Yazd province based on the multi-regional input-output table. The innovation of the current research is to investigate all the economic activities of Yazd province and national economy and to identify the key parts of the two regions.

Methodology:
In the current research, we seek to identify and evaluate the key economic sectors of Yazd province and national economy using traditional methods, elasticity of final demand, data envelopment analysis (DEA) and finally a multi-ranked index using multi regional input-output table. In this article, the Central Bank's 2016 input-output table was used, which was the most up-to-date official statistical data table approved and available at the time of the research. Also, the regional input-output table of 2015 Yazd province and national economy has been extracted from the updated input output table of Central Bank and regional accounts of the same year by using specific Flegg location quotient (SFLQ) method. The input-output table of the Central Bank, according to the production and economic structure of the two regions, and using the ISIC classification method, has been aggregated into 20 sectors.

Results and Discussion:
The results of the present research show that in the traditional method, in total, the section "Manufacturing metal factory products except machinery and equipment" and three sections "Manufacturing paper and paper products and printing", "Manufacturing products from rubber and plastic" and "Manufacturing metals" "Basic" are respectively known as the key sectors of Yazd province and other national economies. In the final demand elasticity method of Yazd province, the sections "Manufacture of motor vehicles and other transportation equipment", "Manufacture of clothing, processing and dyeing of fur, tanning and polishing of leather and other leather products" and "Manufacture of unclassified machinery and equipment in Other" and for the rest of the national economy, the sectors "Manufacturing textiles", "Manufacturing basic metals" and "Manufacturing non-metallic mineral products" are ranked first to third. In the third method, known as data envelopment analysis method, in Yazd province, the "Manufacturing of motor vehicles and other transportation equipment" sector and in other national economies, the "Manufacturing of paper, paper products and printing" sector are known as key sectors.
In a general summary using a Multi Ranking Index (MRI), in Yazd province, "Textile manufacturing", "Clothing manufacturing, fur processing and dyeing, tanning and polishing of leather and other leather products", "Wood manufacturing and wooden products", "Coke manufacturing, Products from the refining of petroleum and nuclear fuels and the manufacture of chemical materials and products", "Manufacture of basic metals", "Manufacture of machinery and equipment not elsewhere classified", "Manufacture of motor vehicles and other transport equipment", "Manufacture of furniture and articles Not Elsewhere Classified", "Water, Electricity and Gas", "Construction", "Transportation" and at the level of other national economy sectors "Clothing manufacturing, processing and dyeing of fur, tanning and polishing of leather and other leather products" , "Making wood and wooden products", "Making paper, paper products and printing", "Making rubber and plastic products", "Making basic metals", "Manufacturing, repairing and installing subsidized, electronic and optical products, manufacturing, repairing and installation of electrical equipment”, “Manufacture of furniture and articles not elsewhere classified” are identified as key sectors.

Conclusion:
The findings of the present research indicate that the use of different criteria can show a different picture of the economic performance of the sectors. Using traditional methods, key sectors are industry-oriented. In the final demand elasticity method, the priority of the sectors is determined based on the importance of each sector, and in the data envelopment analysis method, the results are estimated based on the efficiency value of each sector. These results show the importance of paying attention to choose the right method in the evaluation of key sectors. Although the key sectors determined using different methods are different, the common point of all three methods is that the key sectors of Yazd province are industry-oriented. Therefore, according to the criteria used in the three methods, it can be seen that the province is well industrialized and the role of industry in the economic structure of the province is dominant.
 

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Aim and Introduction
In the conventional Input-Output model, all final demand components including household consumption, government expenditures, capital accumulation and exports are considered as exogenous variables. The basic limitation of the open Input-Output model is ignorance the relationship between the production sector and the household. In this way, if there is an increase in demand for the products of some industries, such an event will directly lead to an increase in the production level of these industries in the first place. On the other hand, the increase in production in turn leads to an increase in the level of production in related industries through previous connections. The increase in income resulting from higher levels of household economic activities leads to an increase in household consumption and as a result stimulates more activities in the production sector. Based on this, the production sector and the households are related to each other through the income-consumption relationship.In order to estimate the income-consumption relationship, household consumption should be included as an endogenous variable in the Input-Output model, while in the conventional (open) Input-Output model, household consumption is considered as an exogenous variable. To solve this limitation, Miyazawa (1976) presented a new Input-Output model in which he considered household consumption as an endogenous variable. Miyazawa's model is known in the relevant literature as a semi-closed Input-Output model with endogenous consumption. Despite this, Miyazawa's model, similar to Keynes' consumption theory, considers household consumption solely as a function of current income, while according to other theories of consumption behavior, household consumption depends on other factors such as past consumption levels and income. It also depends on the expectation. Accordingly, in this research, the semi-closed Input-Output model with semi-endogenous consumption, introduced by Chen et al (2016), was used because this new model adapts the Input-Output model to other consumption theories and corrects the failure of the previous model. In this framework, household consumption is divided into two endogenous and exogenous parts, so that the endogenous component is influenced by current income and the exogenous component is influenced by other factors affecting consumption. In fact, it is only endogenous consumption that enters the mediation matrix.
Methodology
In this research, the results of the new semi-closed Input-Output model with semi-endogenous consumption (Chen et al (2016) model) and the semi-closed Input-Output model with completely endogenous consumption (Miyazawa (1976) model) were compared. In this regard, first, endogenous consumption coefficients for 12 product groups were estimated using the Kalman filter model, and then, the estimated endogenous consumption coefficient of each category of goods was compared to the endogenous consumption coefficient of the data sections by means of the interface matrix. The receipt was converted.
In order to compare the performance of the two models of Miyazawa (1976) and the model of Chen et al (2016), the effect of government capital formation on the value added of different sectors was evaluated using the two mentioned models.
Findings
Failure to consider other factors affecting consumption will lead to upward deviation in GDP estimation. In this way, it can be concluded that the semi-endogenous model solves the insufficiency of the completely endogenous model and its results are closer to reality.
Discussion and Conclusion

the gross domestic product was obtained based on fully endogenous and semi-endogenous models (9601201) and (9329172), respectively. These findings show that Miyazawa model considers all household consumption as a function of current income, and also due to the lack of consideration of other factors affecting consumption such as expected income, consumption level. Also, in Chen et al.'s model, the calculated added value is smaller compared to Miyazawa's model, because by analyzing and separating exogenous consumption from total consumption, only endogenous consumption entered the table of intermediary exchanges.
 

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Aims and Introduction:
Limited resources and facilities require prioritizing their allocation. For this reason, determining the sectors in which investment stimulates the economy and causes more economic growth has always been the focus of economic planners. Investigating the contribution of different sectors of the economy in job creation is very important for better allocation of limited resources. The priority of investment will be given to a sector that has the highest employment generation capacity and the production level of the entire economy.

Methodology:
In this article, on the one hand, three methods of analyzing the key sectors of the economy in terms of creating employment were compared. On the other hand, by calculating the normalized backward and forward links of different sectors of the economy and using Spearman's rank correlation coefficient, the results of three methods were examined.
Finally, the most suitable method to introduce the important sectors of the economy to simultaneously improve production and employment was identified.
Results and Discussion:
By comparing the results of the analyzes of two traditional methods and the hypothetical removal of Meller and Marfan, it can be seen that the other services and professional, scientific and technical activities with an increase of one unit (one billion Rials) of investment have the highest direct and indirect employment generation capacity. In addition, mining activity with an increase of one unit (one billion Rials) of investment has the lowest direct and indirect employment generation capacity.
 Also, in both primary tables, the fields of agriculture, forestry and fishing have been ranked fourth in terms of importance in creating employment.
Meanwhile, the industrial production sector (construction) has changed from the 13th rank in the traditional method to the 3rd rank in the hypothetical removal method of Meller and Marfan.
In Meller and Marfan's hypothetical elimination method, by considering production, the defect of the traditional employment generation method was largely eliminated.
In the third method, unlike the first two methods, industrial production activity is the most important sector of the economy.
In fact, this sector accounts for about 34% of the total lost indirect job opportunities. Also, according to the revised method, the agricultural sector ranked second among 19 fields of activity and is much more important than the two sectors of other services and professional activities, which were introduced as the most important sectors of the economy (from the point of view of employment creation) according to the first two methods. The calculation of normalized links showed that the industrial production sector (construction) with normalized coefficients of more than 20 had the greatest effect and influence from the production of other sectors. After the industrial production sector, transportation and storage sectors; agriculture, forestry and fishing; and the building have the most links (forward and backward) with other parts, respectively.
Conclusion:
Spearman's rank correlation coefficient, between the normalized links of production and the 3 described methods, showed that based on the results of the 2015 Input-Output table of Statistical Center of Iran, only the modified method of hypothetical elimination can correctly determine the important sectors of the economy from the two perspectives of production and employment.
 

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Since the 1960s and the reduction in the share of agricultural sector in GDP in different countries, based on extensive forward and backward linkages of the agricultural sector, the concept of agribusiness has been introduced to explain the valuable contribution of agriculture to the national economy. This paper estimates the share of agribusiness in gross domestic product using input-output tables for 1986, 1991, 2001, and 2016. The results showed that the contribution of agribusinesses to GDP was about 2.5 times that of agricultural production (the average share of agribusinesses in 1986-2016 was about 23%, while the corresponding figure for agricultural value added was 9.25%). In a similar trend to developing and developed countries, the share of agribusinesses in GDP had decreased from 27.2 to 17% in 1986-2016. However, the examination of the components of agribusinesses in Iran compared to other countries shows significant differences, which can be attributed to Iran's arid and semi-arid climate, low rate of capital formation, low productivity of production factors, as well as lack of participation in regional and global chains due to long-term sanctions imposed on the economy.