نشریه پژوهش های اقتصاد صنعتی
پیاپی 16 (تابستان 1400)

Increasing the attraction of foreign direct investment (FDI) can motivate countries’ economic growth via channels of covering the savings-investment gap, and transferring advanced technologies, transferring technical knowledge, and transferring managerial skills, and new production methods. Therefore, identifying the determinants of attracting FDI and the appropriate proceeding for attracting FDI and eliminating its barriers in different countries, especially in developing countries, are very necessary. In this regard, the present study has investigated the effect of the total factor productivity on the attraction of FDI in the economic blocs including D8, BRICS, and G7 over the period of 1990-2018. For this purpose, the research model has been estimated separately for each of the selected economic blocs in three modes by using panel data and the generalized method of moments (GMM). The results of estimation showed that the effect of the total factor productivity on attracting FDI in all three selected economic blocs was positive and significant. However, the D8 estimated coefficient was the largest one. Also, the estimated results showed that the effects of the model’s control variables (population, real exchange rate, openness degree, and real interest rates) on attracting FDI in all three selected economic blocs were positive and significant.

In this paper, using the Hall-Roger model, the market In this paper, using the Hall-Roger model, the market structure of the base metals industry has been studied. The main purpose of this study was to measure the profit-price margin. For this purpose, data of 4 active base metals industries with a four-digit ISIC code over the period 2004-2017 were used. The results showed that in all four industries the price was more than the marginal cost and the price-cost gap in the entire industry was estimated at about 0.39. Also, the precious base metals and other non-ferrous metals industries had the highest Lerner index (0.76) and high market power, and the non-ferrous metals casting industry had the lowest Lerner index (0.137) and markup (1.16). In addition, the results show that in half of the base metals industry, the concentration ratio of the top four firms was more than 40% and in the other half it was less than that.

The main purpose of this study is to evaluate the market structure and comparative advantage dominated in Iran’s export medicinal plants and its main trading partners by using the non-parametric concentration and comparative advantage. For this purpose, the data of selected medicinal plants at the level of HS code over the period 2018-2011 extracted from the database, and statistical information of FAO and Trade Map have been used. The results indicated that Iran had a comparative advantage of the export of studied medicinal plants, but it had not the necessary stability. Moreover, in this field, the market structure is non-competitive. According to the results of the global export market concentration indices for fennel, anise, coriander, cumin, and cedar (code 0909) were the most concentrated markets in the mentioned years. Therefore, due to Iran having the potential to expand and develop the export of these products, for making active it some implement such as; market Decentralization, processing and improving packaging tailored to consumer tastes in global markets, and government’s economic and political support for exporters, are recommended.

Part 8 of provision 45 of The Act on   Implementation of General Policies of article 44 of Iran's Constitution is dedicated to prohibition of abuse of a dominant market position. Reviewing the legislative experience and international judiciary procedure as well as examining the Competition Council's verdicts in dealing with complaints, highlights the need for extensive reform of current competition rules. In this regard, it is better to give appropriate powers to the Competition Council on the issue of punishing violators of regulations (especially regarding the abuse of the dominant market position). In addition, in amending the law, other legal innovations such as exceptions or exemptions, time lapse, measures of temporary order and schedule of obligations in order to create the necessary deterrence and effective and desirable performance of the competitive authority are undeniable.

Implementing the energy storage improves power load response, and network reliability, as well as reduces the need to build new power capacity in the electricity Using the energy storage improves responsiveness power into load, increases network reliability, and reduces the need to build new power capacity in the electricity industry. Regarding the economic- environmental benefits of using energy storage in the electricity industry, the main objective of this research is to investigate the application of electrical network’s energy storage with the aim of minimizing losses, environmental pollution, and system fuel costs. In this regard, three scenarios have been designed under the multi-objective particle swarm optimization (PSO) algorithm, which in scenario number 1, network consumption load is provided only by diesel generators. In scenario number 2, the renewable energy sources of wind and solar are added to the network, and in scenario number 3 further diesel generator and wind turbine and solar panels, energy storages are added to the network, and the PSO algorithm for optimal placement of the storage devices is performed. The results show that the most efficient result for the designed purposes can be achieved by solving the model under scenario number 3. Accordingly, the amount of network losses, fuel costs, and pollution in motion from the first scenario (base scenario) to the third scenario shows a decrease of 432 kW, 13.7 thousand dollars, and 75 kg, respectively. These results can help to optimum usage of energy storage devices in order to improve sustainability and network security, losses decreasing, and pollution decreasing in the electricity industry.

Oil as the main source of energy and engine of economic growth, is an essential input in the production process, that its consumption has increased significantly along with the modernization of the economy. The subject of the present study is the asymmetric analysis of oil price in Iran. In this regard, the effect of oil price on economic growth in two models, considering oil revenue and without it, has been estimated using the nonlinear autoregression distributed lag method (NARDL). The results of the study for the period 2018-2000 indicate that the effect of oil price on economic growth, containing oil revenue was asymmetric but without oil revenue was symmetric.