با همکاری انجمن اقتصاد کشاورزی ایران

نوع مقاله : مقالات پژوهشی

نویسندگان

1 آراد اسلامی واحد علوم و تحقیقات تهران

2 دانشگاه آزاد اسلامی واحد علوم و تحقیقات

چکیده

پرورش دام سبک یکی از مهم‌ترین منابع تأمین گوشت قرمز می‌باشد. در کشور ما نرخ رشد سالیانه تولید دام سبک در سال 1393 نسبت به سال 1383، 4/6 کاهش یافته است. از طرف دیگر قیمت نهاده های مورد نیاز برای تولید دام سبک دارای نوساناتی است که بر تصمیم تولیدکنندگان جهت افزایش تولید، تأثیر زیادی دارد. این مطالعه با هدف بررسی اثر نوسانات قیمت نهاده ها بر عرضه‌ی دام سبک در سطح استانی انجام شده است. جامعه آماری این پژوهش استان های عرضه کننده دام سبک در سطح کشور می‌باشد که سه استان آذربایجان‌شرقی، اصفهان و قم از میان آن ها بر اساس میزان سهم در عرضه انتخاب شده‌ است. تحلیل نوسان قیمت ها و ریسک قیمتی بر اساس فرآیند GARCH و واکنش عرضه دام سبک با استفاده از الگوی فضای حالت انجام شده ‌است. نتایج این پژوهش نشان می‌دهد که در استان‌های آذربایجان شرقی، اصفهان و قم متغیر قیمت انتظاری دام سبک بر میزان عرضه دام سبک تأثیر مثبت و معنی‌دار داشته، در حالی که واریانس قیمتی دام سبک بر میزان عرضه آن تأثیر منفی و معنی‌دار دارد. همچنین، متغیر قیمت انتظاری نهاده‌‌های لازم برای عرضه دام سبک و واریانس آن تأثیر منفی و معنی‌دار بر میزان عرضه آن دارد. نوسانات فصلی مربوط به فصول تابستان، پاییز و زمستان در استان آذربایجان‌شرقی تأثیر منفی و معنی‌دار بر عرضه دام سبک داشته است. نوسانات فصلی مربوط به فصول تابستان و پاییز در استان اصفهان تأثیر منفی و معنی‌دار بر عرضه دام سبک داشته، در حالی‌که نوسانات فصلی مربوط به زمستان تأثیر مثبت و معنی دار بر عرضه دام سبک داشته ‌است. متغیرهای موهومی مربوط به فصول تابستان و پاییز در استان قم تأثیر منفی و معنی‌دار و فصل زمستان تأثیر مثبت و معنی‌دار بر عرضه دام سبک داشته اند. با بررسی نوسانات سیکلی و روند در هر سه استان مشخص می شود که در میزان عرضه دام سبک نوسانات سیکلی و روند معنی‌دار و مثبت با ضرایب تصادفی در هر سال وجود داشته است. عرضه دام سبک نسبت به تغییرات قیمت نهاده‌ ها و دام سبک کم کشش است و تأثیر ریسک قیمتی دام سبک بزرگتر از ریسک قیمتی نهاده‌‌‌ها می‌‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Input Price Fluctuations and Light livestock Supply (Application of State-Space Model)

نویسندگان [English]

  • E. Sadeghi 1
  • R. Moghaddasi 2

1 Faculty of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Agricultural Economics Department, Faculty of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran

چکیده [English]

Introduction: Light livestock is one of the main resources of the red meat supply. In our country, annual growth rate of light livestock production is decreased by 6.4 percent in 1383 -93. In the other words, the required input price of light livestock producing have fluctuations that have much effect on producer decisions quality. Therefore, more attention to light livestock nurturing and factors that are effective on the rate of its supply is understood more than before. So, the article goals include effective factors considering on light livestock supply rate. About the studied subject, many studies have been proformed locally and globally, that include Adam (5) in South Africa, Fisher and Wall in Canada and Australia, Jezghani and Moghaddasi(7), Azizi(3) in Iran.
Material and Methods: Research seasonal data includes years 1381-91 and for three provinces of East Azerbaijan, Isfahan & Qom. Price fluctuation is investigated by GARCH models. These models are concentrated on homogenous variance contradiction (stable variance) and instead heterogeneous variance should be encountered as a problem, it is tried the heterogeneous variance is used in modeling. So, a prediction is estimated for every error period variance. The supply function has estimated in an article, is using the method of the state space model which permit seasonal, trend & unobservable cycle elements change during time randomly. The state space model is returned to standard regression model in the unobservable elements absence. The used method for the article for seasonal elements is time fixed seasonal variations.
Data analysis: The research indicates that there is inputs prices and light livestock price. Barley price with past season lag, alfalfa price in one and two past season and the light livestock price with past season lag become significant and all GARCH coefficients in every three mentioned variant is less than one percent and significant. According to the effect of independent variants on light livestock supply in province of East Azerbaijan, it is determined that light livestock expected price has positive and significant effect, inputs expected price has negative and significant effect on light livestock supply, variance coefficient of light livestock price has negative and significant effect on light livestock supply, barely input price variance has negative and significant effect on light livestock supply. By considering the effect of independent variants on light livestock supply in Isfahan province , it is determined that expected price of light livestock has positive and a significant effect on light livestock supply, expected price of input on supply rate has negative and significant effect, variance coefficient of light livestock price has negative and significant effect on light livestock supply rates. Barely price variance has a negative and significant effect on light livestock supply. By considering the effect of independent variants on the rate of light cattle supply in Qom province, it is determined that light livestock expected price has positive and significant effect on light livestock supply rates, input expected price has negative and a significant effect on supply rate, variance coefficient of light livestock price has negative and significant effect on light livestock supply rate, barely an input price variance has negative and significant effect on light livestock supply. Summer, autumn and winter seasonal fluctuations, in a province of east Azerbaijan has a negative and significant effect on light livestock supply. Summer and autumn seasonal fluctuations in Isfahan and Qom had negative and significant effect on light livestock supply while winter seasonal fluctuation had a positive and significant effect on light livestock supply. The trend has a positive and significant effect on light livestock supply rate in three provinces. In the other words, trend fluctuation has a positive effect on supply rate. In three provinces, light livestock supply rate has positive and significant cyclic fluctuations with random coefficient in every year.
Results: In the provinces of East Azerbaijan, Isfahan, Qom, light livestock expected price has a positive and significant effect on its supply rate. While light livestock price variance has a negative and significant effect on its supply rate. Inputs expect price of and its variance has a negative and significant effect on its supply rate. Cyclic and trend fluctuations have a positive and significant effect on the flight cattle supply rate. Light livestock supply is less elastic than the ratio of inputs price and light livestock price change. The effect of light livestock price risk is greater than the inputs price risk.

کلیدواژه‌ها [English]

  • GARCH process
  • Light livestock
  • State Space
  • Supply response
1- Adam M.S. and Darroch M. A. 1997. Impact on South Africa meat demand of possible free trade agreement with the European Union. Agrekon Journal, 36(4): 533-541
2- Azizi J. 2007. Analysis of the meat supply function in Iran by using multiple markets. Journal of Research and Development of livestock and Aquaculture, 76(4):9-19. (In Persian with English abstract)
3- Bakhshudeh M. 2004. Estimated seasonal fluctuations in prices of potatoes and onions. Journal of Agricultural Sciences, 35(2):511-516. (In Persian)
4- Cheraghi D. and Gholipoor S. 2010. Overview of the red meat challenges in Iran. Journal of Business Reviews, 41(2):89-110. (In Persian)
5- Fisher B. and Wall C. 1990. Supply response in Australian sheep industry: A profit function approach. Australian Journal of Agricultural Economics, 34(2): 147-166
6- Jezghani F. and Moghadasi R. 2010. Dairy supply response under stochastic trend and seasonality: A structural time series analysis in Iran. American-Eurasian Journal of Agricultural & Environmental Sciences, 7(1):38-42
7- Holt M. and Moschini G. 1992. Alternative measures of risk in commodity supply models: an analysis of sow farrowing decisions in the United States. Journal of Agricultural and Resource Economics, 17(1): 1-12
8- Livestock Support Company in Country. 2014. Statistics of livestock and poultry inputs price Available at http://www.iranslal.com (visited 5 January 2014)
9- Lopez R .1984. Estimating substitution and expansion effects using a profit function framework. American Journal of Agricultural Economics, 66(3):358-367
10- Rude J. and Surry Y. 2014. Canadian hog supply response: A provincial level analysis. Canadian Journal of Agricultural Economics,62(2):149-169
11- Soleimani E. Rajaei A. and Safayi H. 2009. Status of livestock and poultry in Iran. Agricultural Commission, Iranian parliament Research Center. Iran.
12- Statistical Center of Iran. 2014. Statistics of Slaughter in slaughterhouse country. Available at http:// www.amar.org.ir(visited 5 January 2014)
13- Statistical Center of Iran. 2014. Statistics of population in country. Available at http:// www.amar.org.ir(visited 5 January 2014)
14- Statistics and information technology office of agricultural ministry. 2014. agricultural statistics Available at amar.maj.ir (visited 10 January 2014)
CAPTCHA Image