Survey of the Effect of Agricultural and non-Agricultural Trade on Inflation Rate in Iranian economy
وحیده
انصاری
author
Ebrahim
Ensan
دانشگاه تهران
author
text
article
2015
per
The goal of this study is survey the effect of trade in agricultural and non-agricultural sector, separately, on inflation rate in Iran. To this end, a vector error correction model (VECM) has been estimated using 1360-90 time series data. Results of this study indicate that trade variables have a significant influence on inflation rate in Iran and it is essential to enter them in the models which assess the factors affecting inflation, so that these variables improve the explanatory power of models and reliance on the precision of estimated coefficients. The results of this study show that the ratio of export to agricultural and non-agricultural products has positive long-run effects on inflation whereas the ratio of import to agricultural consumptions has a negative long- run effects on inflation. Also, based on the results, exchange rate has a significant positive long-run effect on inflation whereas growth of liquidity affects the inflation in the short run. Finally, in the present study, it has been suggested that the best strategy for reducing the gap between demand and supply, is to increase production through improving productivity, so, in this manner, inflation growth reduced without any requirement to increase import and reduce export. Also, control of the liquidity and the exchange rate growth has been introduced as the other strategies for reducing inflation.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
1
23
https://www.iranianjae.ir/article_11501_be4e00c39a46e8dbc6d95e7d141c9af7.pdf
The Estimation of Impact of Business Cycles on Total Factor Productivity of Different Economic Sectors in Iran
Mohammad Reza
Zare Mehrjerdi
دانشیار و عضو هیئت علمی گروه اقتصاد کشاورزی دانشگاه شهید باهنر کرمان
author
Mahbubeh
Sheikhpoor
کارشناس اقتصاد کشاورزی دانشگاه شهید باهنر کرمان
author
Somayyeh
Naghavi
دانشجوی دکترای اقتصاد کشاورزی دانشگاه فردوسی مشهد
author
text
article
2015
per
Productivity is one of the factors associated with the development ieads to increased production. Growth of total factor productivity, reduce production costs and increase the competitiveness power of producers in the market.since the business cycles is one of the most important macroeconoic indicators.in this paper, has tried to investiagate impact of business cycles on total factor productivity in different economic sectors (agriculture, mining, industry) using panel data methods and utilizes solow residual model, set of time series during the period 1979-2010. The result show that trade liberalization index, the cost of research and development and exchange rate have positive effect and business cycle variables, inflation rates have a negative effect on on Total Factor Productivity. So with the results of the present study, recommend greater attention to reducing inflation and expanding R & D activities in the country.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
25
41
https://www.iranianjae.ir/article_10973_80fd3e726068c8af74b233d6a361b9be.pdf
The Relationship between Export and Energy Use in Agriculture Sector of Selected Developing Countries
Mohsen
Salehi Komroudi
دانشجوی دکترای اقتصاد کشاورزی دانشگاه تبریز
author
Esmaeil
Pishbahar
دانشیار اقتصاد کشاورزی دانشگاه تبریز
author
Zahra
Jalili
دانشجوی دکترای اقتصاد کشاورزی دانشگاه تبریز
author
text
article
2015
per
Implementing the export expansion policies may have significant impact on energy use in developing countries. Therefore, export expansion policies have increased environmental concerns about greenhouse gas emissions. Given to increase mechanization in agriculture sector, there are these concerns about agricultural export activities, too. In this regard, the present study tries to examine the relationship between export and energy consumption in agriculture sector of 28 developing countries in the period 1987-2007. For this purpose, after confirming the existence of unit root with CADF test and verifying cointegration with the tests of KAO, Pedroni and Westerlund, cointegrating vectors were estimated with the methods of AMG, FMOLS and DOLS. Also, it was used PMG to examine causality relationship between the variables. The results showed to exist positive and significant interaction between export and energy consumption in agriculture sector of developing countries but there is not relationship between two variables in short run.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
43
57
https://www.iranianjae.ir/article_11552_77d550a3592696ff03e5d52b804c509b.pdf
Prioritization of Target Markets of Major Global Exporter’s Raisins (approach to identify of competition potential in these markets)
Amirhosein
Chizari
دانشکده اقتصاد و توسعه کشاورزی
author
Andisheh
Riahi
دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران
author
milad
aminizadeh
دانشجوی کارشناسی ارشد/دانشگاه تهران
author
text
article
2015
per
The current study was conducted to evaluate target markets of Iran raisins. Results indicate that Britain, Germany, Australia, New Zealand, Brazil, Netherlands, Canada, Kazakhstan, UAE, Ukraine, Russia, Peru, Japan, Poland, Colombia, Panama, Iceland, France, Lithuania, Ecuador, Norway, Belarus and Sweden have the highest priority among importing countries of raisins, respectively. Target importer’s market structure is indicative that market structure of all importers have was closed oligopoly that market of 15 countries are associated with dominate of exporters. Iran in markets of East Europe blocks (Russia, Ukraine and Poland) and its largest trading partner (UAE), Turkey in the European developed markets (UK, Germany, Netherlands and France) and Oceania markets (Australia and New Zealand), United States of America developed markets in Europe, Asia and America (Iceland, Norway, Sweden, Japan and Canada) and Panama, Chile also in the markets of South America (Peru, Colombia and Ecuador) and Lithuania have the highest share of exports. Results indicate that, Iran in among major exporters has less stability in the share of exports, export prices and export advantage. With investigate the various factors like the ultimate consumer, geographical advantage and weak competition in target markets, this result was obtained that Iran in Markets of Lithuania, Kazakhstan, Russia, Poland, Ukraine and UAE has the highest priority. Countries of Colombia, Peru, Japan, Ecuador, Norway, Sweden, Panama and Iceland considering the lack of geographical advantage and the presence of other export powers aren't targeted in the short run.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
59
88
https://www.iranianjae.ir/article_12107_a50ac3135b5d237c848e13c499710440.pdf
Earnings management prediction using Neural Network and decision tree Agriculture and textile industries listed companies on the Tehran Stock Exchange
Mahdi
Salehi
استادیارگروه حسابداری دانشگاه فردوسی مشهد
author
Laleh
Farokhipileroud
کارشناس ارشد،رشته حسابداری،دانشگاه پیام نورقشم
author
text
article
2015
per
Today, quantitative methods to predict the most important tools for decision making huge investments in the market and capitalism, have become.Theprediction method is the most importantBlanks.The main objectivethis study accurately predicted earnings management using neural networks and decision tree is compared with linear models.For this purpose, nine variables that affect earnings management and accruals as independent variables, was used as the dependent variable.In this study, both agriculture and the textile industry were reviewed. Methods for linear least squares regression and a feedforward neural network and decision tree data mining techniques were used by to evaluate Cart.The results of this study showed that the neural network approach and linear decision tree methods adopted towards more accurate prediction of earnings management with error level is less obvious. Relationships between the dependent variables with the independent variables can be said,Discretionary accruals prior period earnings management variables (DAI), nondiscretionary accruals Prioror threshold function (THOD) and pay for performance sensitivity (PPS) method, regression, neural networks, Sart is most relevant.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
89
105
https://www.iranianjae.ir/article_12095_de7e071319b75d265f411ea15b9735e6.pdf
The Impact of Climate Variables on Wheat and Corn Yield and Yield Risk in Gazvin Province
Mohammad
Ghahremanzadeh
دانشیار گروه اقتصاد کشاورزی دانشگاه تبریز
author
Mayram
Golbaz
دانش آموخته کارشانسی ارشد مدیریت کشاورزی گروه اقتصاد کشاورزی دانشگاه تبریز
author
باب اله
حیاتی
دانشیار گروه اقتصاد کشاورزی دانشگاه تبریز
author
قادر
دشتی
دانشیار گروه اقتصادکشاورزی دانشگاه تبریز
author
text
article
2015
per
The aim of this study is to investigate the impact of climate variables on wheat and corn yields and yield risks in Qazvin province by utilizing the Just-Pope's stochastic production function. For irrigated wheat, mean yield and risk yield functions estimated by the Cobb-Douglas and Linear- quadratic forms, respectively. Results show that aammonia fertilizer, maximum temperature and wind speed during the growth period have significant effects on irrigated wheat yield and increase the yield risk. Also the rain fed wheat yield and yield risk functions were estimated as Cobb-Douglas and Transcendental form, respectively. The results show that the amount of phosphate fertilizer, seed, rainfall during autumn and spring, the wind speed and maximum temperature during the growth period has significant effects on the yield. In this context, maximum temperature and wind speed raise the dry wheat yield risk. Corn yield and risk function were estimated by the linear-quadratic form. The results indicate that maximum temperature and fertilizer consumption have negative impacts on the corn yield. While the maximum temperature and rainfalls reduce the yield risk. So, we can reduce impacts of Unpredictable parameters on yield and yield risk with exactly planning such as risk management.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
107
126
https://www.iranianjae.ir/article_11197_0fd739e43ed91c096044d4d6a14129b2.pdf
Evaluation of Environmental Damage of Alborz Dam in Mazandaran By using the Choice Experiment Approach
Nazila
Mohtashami
دانشجوی کارشناسی ارشد اقتصاد کشاورزی دانشکده اقتصاد و توسعه کشاورزی- دانشگاه تهران
author
ایرج
صالح
عضو هیئت علمی دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران
author
Mohammad Reza
Nazari
دانشجوی سابق دکتری اقتصاد کشاورزی دانشکده اقتصاد و توسعه کشاورزی-دانشگاه تهران
author
Hamed
Rafiee
استادیار اقتصاد کشاورزی دانشگاه تهران
author
text
article
2015
per
Construction of large dams like the Alborz Dam despite having great economics benefit, has a lot of adverse effects on natural ecosystems and society. In this study, in the context of a benefit analysis-social cost and with quantify the monetary value of environmental damage, the value of environmental damages of Alborz Dam determined by using experience-based choice and modeling it as a multiple logit model (MNL) by using software SHAZAM.10. Also, the indicators of economic evaluation calculated in both "with and without taking into account the environmental costs” in order to show interact and clarify their sensitivity to environmental considerations. The required data were obtained through designing and completing 100 questionnaires in 1391 by interviews with families in the village of Flora and the sampling is also random. The results show that the maximum willingness to pay belongs to promote the conservation of plant species from the current crisis situation to the desired level (101/3 dollars per household in the year). Achieving to the optimum protection of animal species and forest (Respectively 23/6 and 0.516 dollars per household in the year) are in the next row of willingness to pay. Finally the results of ratio of benefit to cost show that calculate the costs of environmental damage at the cost of the dam, detracted its feasibility significantly.
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
127
153
https://www.iranianjae.ir/article_11747_fce635e49956b6074e89ba8df6509cbd.pdf
Abstracts
text
article
2015
per
Agricultural Economics
انجمن اقتصاد کشاورزی ایران
2008-5524
8
v.
4
no.
2015
1
11
https://www.iranianjae.ir/article_12172_6c678225d492be63087551d0536cf146.pdf