جستجوی مقالات مرتبط با کلیدواژه « date » در نشریات گروه « اقتصاد کشاورزی »

Agricultural sector is the most influential sector in developing countries like Iran. Regarding climatic conditions and natural resources of Iran, there are High productive capability and therefore the export of many agricultural products that it requires extensive trade relations with other countries. Dates is one of the most important agricultural export product in Iran, which with the advent of export powers in recent years, its position has lost in the Europe Union market as one of the high-income markets. So, the aim of study is assessing effective factors on Iran’s Dates to Europe Union. In order to achieve this aim is used gravity model by PPML and LSDV methods. For estimating model, data is used in period of 2004-13. Our analysis establishes four important results. First, PPML estimator had more consistent results in comparison with LSDV estimator in assessing effective factors on export of Iran’s Dates to EU. Second, Traditional variables such as GDP per capita, credit, openness and access to high seas respectively with coefficient 0.980, 0.489, 0.331 and 2.880 have a significantly positive impact and Distance (-1.609) has a significantly negative impact on export of Iran’s Dates. Third, global crisis has a significantly negative impact on export of Iran to EU. Fourth, EU’s re-exporter also has a significantly positive impact on export of Iran’s Dates, which they will become a serious threat to Iran in global market in the long term.

the purpose of this study is investigation of the factors affecting price volatility for Iran's date. In order to investigate the factors affecting price volatility export of Iran's date has been used approach (ARDL) for 1949-2014. Among all of the variables, years of sanction and number of main target countries are significant at level of 5 percent and share of main target country is significant at the level of 10 percent. With increasing one percent in the number of main target countries, Iran's export prices will be increased in about 0.742 percent. Variable of share in main target country has negative effect on Iran's export prices. Diversity of Iran's export markets with reducing reliance of Iran's export to the main target country and more uniform distribution of export share among other target countries, creates the fewer price volatility of Iran's date export. So paying attention to the diversification of the target markets of date export with the aim of reducing Iran's price volatility in world markets will be necessary.

Bam region is one of the main regions for Mazafati Date production in Iran. Because of limitation of Date production inputs in Bam region application of optimum production management in input utilization is necessary. The main objective of this study is to estimate the technical, scale, allocative and economic efficiencies. The efficiencies were estimated using data envelopment analysis (DEA) technique. The statistical population of this study consisted of 1240 Dates producerd of Bam county that 142 of them were chosen as statistical sample by applying Stratified Random Sampling and Cochran formula. The data were collected by questionnaire that designed with open question and its face and content validity was approved by a panel of experts. Research results revealed that mean technical, scale, allocative and economic efficiency scores of the sample orchards were 61.15, 66.2, 46.14 and 28.22 percent, respectively. Findings revealed that the farmers were inefficient in the use of all the resources; and all producing inputs are uses higher than optimum consumed amount and the most discrepancy of consumption respectively are in animal fertilizer, chemical fertilizer, machinery use and water use. An econometric analysis based on Tobit Regression models indicated that age of farm operator, years of schooling, number of contacts with extension agents and orchard capital were had significant impact on of technical efficiency.

Development of date palm fruit processing and by-products industries has a great importance in employment and poverty alleviation, reducing wastes, increasing food security, increasing productivity, added-value, and export, development and exchange of technologies and sustainable development of rural areas. This study has been conducted for investigation of state and capabilities of Khuzestan date industry via SWOT matrix based. The results led to the identification of 13 opportunities and 10 threats from external factors and 4 key strengths and 10 key weaknesses from internal factors matrix. The state coordinate of Khuzestan date industry found to be 2.58 and 1.83 for external and internal factors respectively, which in turn placed the industry in the conservative strategy space. Two factors of "access to domestic and foreign new technologies", and "availability of low cost labor" with balanced score of 0.284 were recognized as the key driving forces, while "Lack of information and advertising in the local and international scenes to introduce Iranian dates as a luxury and high nutritional value fruit" and “Lack of Brand and leader companies" with balanced score of 0.172 were the key hampering factors. Five top priority strategies were identified using Quantitative Strategic Planning Matrix in order of importance as follows: "increasing the market share of date products in domestic and foreign markets by extending marketing and advertising", "Improvement and modernization of food processing plants in accordance with related standards", "Improving quality of products by using novel internal and external technologies", "establishment of a consortium between firms in order to participate in special features" and "increasing production volume". Balanced score for these strategies were 4.93, 4.63, 4.54, 4.2 and 4.19 respectively.

The present state and date, sweet orange, mandarin, grapefruit, olive, pomegranate, fig and kiwi production in Iran was investigated in 2010-2011. Based on the statistics published by Ministry of Agricultural Jihad, important fruit producing provincesand a few cities in each province were determined andusing a questionnaire, pertinent information was collated from these centers. Provinces selected were Boushehr, Chaharmahal-Bakhtiari, Fars, Golestan, Isfahan, Kerman, Kermanshah, Kohgiluieh and Boyerahmad, Khuzistan, Lorestan, Markazi, Mazandaran, North Khorasan, Qazvin, Qom, Guilan, Razavi Khorasan, Semnanm, Sistan and Baluchestan, South Khorasan, Tehran, Zanjan, and Yazd.The analysis of data showed that average yield per hectare were 4900 kg for date, 14000 kg sweet orange, 12800 kg for mandarin, 12270 kg for grapefruit, 15200 kg for olive, 10860 kg for pomegranate, 5900 kg for fig and 22500 kg for kiwi. In this investigation all measured characters were analysed and discussed. Also, suggestions were made for improving quality and quantity of these crops.

Iran is one of the largest producer and exporter of products such as dates, pistachios and raisins in the world, and also is in a good position in the world market of these products. This study examines the short- run and long - run effects of exchange rate on export prices of Iran’s Dates, using autoregressive distributed lags method. Relevant data were extracted from the data of the Central Bank and the World Food Organization and analyzed by Microfit and Eviews softwares. The results indicated that, Short-term changes in exchange rates and the value of exports in the current and prior periods has a negative impact on export prices and world prices and domestic prices has a positive effect on export prices. Therefore, monetary policy can prevent sudden fluctuations in the exchange rate, it seems good. Also, in long-term changes in exchange rates, is a one of the most important factors affecting export prices of dates. So it is suggested that monetary policy by the central bank in such a way that prevent sudden fluctuations in the exchange rate.

This paper aims to determine the short and long-term changes in exchange rate uncertainty on exports of Iranian date during the period of 1980-2011. To calculate the exchange rate uncertainty generalized autoregressive conditional heteroskedasticity (GARCH) was used. Then، to examine the relationship between exchange rate uncertainty and date export، the Auto Regressive Distributed Lag (ARDL) was applied. The results of this study indicate that; exchange rate uncertainty has significant negative effect on date exports in the short and long-term. Also، income of importing countries and domestic production has positive effects on exports of date. But export price of date has negative impact on the exports of date. Thus، pursuing policies to stabilize foreign exchange market could cause to increase date export.