total factor productivity of production؛
Farrokh Norozi; Masoud Nonejad; Mehrzad Ebrahimi; Jalil Khodaparast Shirazi
Abstract
Today most developed and developing countries emphasize on the importance of productivity as one of the necessities of economic development and competitiveness in the world. Because todays, competition is taking various dimensions and striving for higher productivity is one of the important factor of ...
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Today most developed and developing countries emphasize on the importance of productivity as one of the necessities of economic development and competitiveness in the world. Because todays, competition is taking various dimensions and striving for higher productivity is one of the important factor of these competitions. On this basis, identifying the factors of affecting productivity growth in the Iran economy is essential for economic growth and development. Therefore, this study intends to first identify the factors affecting productivity growth by using feature selection logic, basis on Non-Dominated Sorting Genetic Algorithm (NSGA-II) then estimate the selective model using Artificial Neural Networks (ANN) for the period (1991-2016) and finally using the Garsen index to measure the sensitivity analysis of factors affecting productivity growth. Based on the results of the feature selection among the twenty variables, foreign investment, health investment, rail lines, innovation index and exchange rate (five variables) were removed from the model. Based on the results of ANN model with Tansig activation function with 3 neurons, it has a prediction power of 0.993 and minimum error of model 0.0019. Also, according to the Garsen index, human capital (15%), government size (11%), openness, research and development and economic corruption control (8%) had the highest impact on productivity growth and monetary development (1.48%) the rule of law (2.27%) and physical capital (3.2%) had the least impact on productivity growth.
Yeganeh Mousavi Jahromi; Mohammad Reza Razavi; Farhad Khodadad Kashi; Seied Hossien Eizadi
Volume 7, Issue 28 , September 2017, , Pages 33-50
Abstract
Iran’s tax system includes many forms of tax incentives, like as regionally targeted tax incentives. According to direct tax act, article 132, that includes this kind of incentive, declared taxable income of manufacturing and mining activities in less developed regions are totally (100%) exempt ...
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Iran’s tax system includes many forms of tax incentives, like as regionally targeted tax incentives. According to direct tax act, article 132, that includes this kind of incentive, declared taxable income of manufacturing and mining activities in less developed regions are totally (100%) exempt from corporate income tax for ten years. The aim of this study is to estimate the impact of tax exemptions of article 132 on employment of Iran’s less developed counties for the period from 1996 to 2008. In the present paper, a two- stage method is used. In the first stage, a proper control group is selected for each treated county by using Synthetic Control Method (SCM) and Genetic algorithm, and the impact of tax incentives article 132 on employment in Iran’s less developed regions is estimated via Difference in Difference (DID) Method, in the second stage. Results indicate that tax exemptions in mentioned Article have no impact on employment of Iran’s less developed counties.
