جستجوی مقالات مرتبط با کلیدواژه « تحلیل مسیر ساختاری » در نشریات گروه « اقتصاد »

This study measures the impact of foreign tourism revenue on sectoral output growth and identifying its channels of economic impacts. For this purpose output multipliers and structural path analysis approaches in the social accounting matrix framework are employed. The most advantage of the structural path analysis is that provides a detailed technique of decomposing output multipliers and identifying a full network of path of economic influence from the origin sector to its ultimate destination. For this purpose main data bases are: the 2011 SAM of Parliament Research Center of Iran and the foreign inbound tourism revenue in 2017 in the absence of tourism satellite accounts in Iran.Results show foreign tourism revenue (28.2 thousands billion rials) has led to increased output of all economic sectors (62.1thousands billion rials), and total output multiplier is 2.31 unit, in which other services, wholesale and retail, and hotel sectors have received 13.71, 13.66, and 12.66 percent of the total output effects, respectively. The decomposition of output multiplier and structural path analysis results revealed that food, restaurant, road, rail and air transportation have the most direct paths and vice versa for the other related tourism sectors. Moreover, wholesale and retail, agriculture, road transportation, and other services play a significant role in influencing foreign tourists' incomes on the Iranian economy.

The implementation of any economic policy that has expansionary effects requires relatively stable economic conditions. Under such conditions it is expected that potential predictable effects of such policy implementation on welfare of households, especially low income households could be evaluated. The economic context of poverty in the Iranian economy and the ineffectiveness of supportive institutions in particular circumstances make the effects of economic policies on low-income households widespread. In some cases, these effects are so broad that policy-makers are forced to leave or select the opposite course of that policy. Under these conditions, analyzes that illustrate the effectiveness path of policy help the policy-maker to have a clearer picture of the probable consequences of a policy. The main aim of this article is to analyze quantitatively the effects of the recent subsidy targeting policy on the welfare index (cost of living index) in different deciles of urban and rural households using social accounting matrix (SAM) approach. For this purpose two updated social accounting matrices for the years 2009 and 2011 have been used. Both matrices include 40 economic sectors. Comparing the cost of living index, we find that welfare vulnerability of households has decreased in general, however the magnitude of welfare reduction differs between rural and urban households among income deciles. Our findings reveal that the cost of living index of rural households is more than the corresponding urban households. The vulnerability in the natural gas distribution sector has tripled in urban areas in 2011and in rural areas it is nearly four times higher than 2009 level. We also find that every 100-unit increase in cost of electricity will potentially increase welfare index of urban and rural household by 34 and 46 units, respectively. From the distribution viewpoint, the welfare loss is lower for high-income deciles. In addition, our findings show that the degree of vulnerability in middle income groups in majority of sectors is less than the other income groups. The structural path of changes shows that subsidy targeting has created wide complexity and entanglement in the path of the effectiveness of fuel price changes on price indices, especially on the household living cost index. Accordingly, before implementing subsidy targeting scheme, the increase in fuel prices was influencing the household cost index in five ways, while after targeting the increase in fuel prices affected it through the twenty different paths.

The aim of this paper is to identify the sectors having the most backward and forward linkage to the other economic sectors in East Azerbaijan. The research methodology is based on input-output, the backward and forward linkages and structural path analysis. the results represent that machinery, chemical products, rubber and plastic, and agriculture, horticulture and forestry sectors have the most important direct and indirect backward linkages, but the sectors like food products, wood products, furniture and paper and petroleum products have the most important direct and indirect forward linkages and the multiplier of these interactions have been analyzed with the path analysis approach and indirect paths of demand increase are differentiated from the direct paths of supply increase.

Tax and Taxation play a critical role in economics and has two distinct functions:(1) It is an income source for government; and (2) It is a lever to acquire social justice in societies. The purpose of this paper is to analyze the quantitative effects of taxation on Production Price Index (PPI) and economic sectors relative Advantage. For this purpose, Social Accounting Matrix (SAM) and Structural Path Analysis (SPA) are practically used. We have applied two distinct approaches in this paper: Multiplier Model that help us to get general results; and SPA and Multiplier Decomposition that explain general results in details.To put these approach in action IRI (1375) SAM is used. Results show that, in one hand, production price index in related agriculture and services sector affect the taxation increasingly, and in other hand, an increasing in service and agriculture sectors impact the price index in other economic sectors.

In this paper we analyze quantitatively the interrelationship between three major sectors of the Iranian economy, viz. agriculture, industry and services. We apply two approaches of Social Accounting Matrix (SAM), Namely; conventional multiplier and decomposed multiplier based on structural path analysis. The former illustrates the global effect of one account on the other without revealing the complexities of the socio-economic production processes. The latter depicts different paths as well as loops, circuits and network that have been generated in each path, thereby providing a wide scope to socio–economic analysis. In our study, we have used the Iran's 1996 SAM. The overall results suggest that in order to increase production, mere economic policies are not sufficient and therefore, supplementary socio –economic policies are required.