• Other language title
    برآورد تابع تقاضاي آب در بخش زراعي وتحليل روابط متقابل و متقارن ميان نهاده آب و ساير نهادهها دشت قزوين
  • Title of article

    Estimation of Irrigation Water Demand Function, Analyzing its Cross and Symmetrical Relations with other Inputs (Qazvin Plain

  • Author/Authors

    Avazdahandeh, S Department of Agricultural Economics - Faculty of Agriculture - Tarbiat Modares University - Tehran - Islamic Republic of Iran , Khalilian, S Department of Agricultural Economics - Faculty of Agriculture - Tarbiat Modares University - Tehran - Islamic Republic of Iran , Vakilpoor, M.H Department of Agricultural Economics - Faculty of Agriculture - Tarbiat Modares University - Tehran - Islamic Republic of Iran , Najafi Alamdarlo, H Department of Agricultural Economics - Faculty of Agriculture - Tarbiat Modares University - Tehran - Islamic Republic of Iran

  • Pages
    12
  • From page
    1
  • To page
    12
  • Abstract
    Water is the most important input used in agriculture. Due to the scarce water resources and dry and semi-arid climatic conditions of Iran, water demand management has special importance in the whole economy, including the agricultural sector, because this sector has the largest share in water consumption. The purpose of this study was to estimate the water demand function and to analyze the cross and symmetrical relationships between water and other inputs. For this purpose, the Ordinary, Allen, and Morishima's substitution elasticity were calculated, and the substitution and complementary relationship between water and other inputs were determined. These elasticities determine the amount and sign of cross relationship of water. In order to achieve the objectives of research, the translog cost function, along with the input share equations were estimated using iterative seemingly unrelated regressions. The information was related to crops and period (2007-2015) in Qazvin. The results showed that water was a low-elasticity input and its value was -0.75. Also, the cross elasticity with pesticide, labor, machinery and land was calculated as 0.71, 0.99, 0.93, and 0.89, respectively, which implied the substitution relationship. Investigating symmetry of elasticities also implies the asymmetry of Ordinary and Morishima elasticities and symmetry of Allen's elasticity with other inputs. In this regard, the cross elasticity of inputs of pesticide, labor, machinery, land and water were calculated as 0.28, 0.86, 0.91, and 0.90, respectively, indicating the asymmetry of this elasticity. Differences between levels of cross elasticities depend on the cost share of the two inputs and the sign of estimated coefficient.
  • Farsi abstract
    آب از ﻣﻬﻤﺘﺮﯾﻦ و ﺿﺮوريﺗﺮﯾﻦ ﻧﻬﺎدهﻫﺎي ﻣﻮرد اﺳﺘﻔﺎده در ﺑﺨﺶ ﮐﺸﺎورزي ﻣﯽﺑﺎﺷﺪ. ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻣﺤﺪودﯾﺖ ﻣﻨﺎﺑﻊ آﺑﯽ و ﺷﺮاﯾﻂ اﻗﻠﯿﻤﯽ ﺧﺸﮏ و ﻧﯿﻤﻪ ﺧﺸﮏ ﮐﺸﻮر، ﻣﺪﯾﺮﯾﺖ ﺗﻘﺎﺿﺎي آب در ﮐﻞ اﻗﺘﺼﺎد و از ﺟﻤﻠﻪ ﺑﺨﺶ ﮐﺸﺎورزي ﮐﻪ ﺑﯿﺸﺘﺮﯾﻦ ﺳﻬﻢ را در ﻣﺼﺮف آب دارد، از اﻫﻤﯿﺖ وﯾﮋهاي ﺑﺮﺧﻮردار اﺳﺖ. ﻫﺪف اﯾﻦ ﻣﻄﺎﻟﻌﻪ ﺑﺮآورد ﺗﺎﺑﻊ ﺗﻘﺎﺿﺎي آب و ﺗﺤﻠﯿﻞ رواﺑﻂ ﻣﺘﻘﺎﺑﻞ و ﻣﺘﻘﺎرن ﻣﯿﺎن ﻧﻬﺎده آب و ﺳﺎﯾﺮ ﻧﻬﺎدهﻫﺎﺳﺖ ﮐﻪ ﺑﻪ اﯾﻦ ﻣﻨﻈﻮر ﮐﺸﺶﻫﺎي ﻣﺘﻘﺎﻃﻊ ﻣﻌﻤﻮﻟﯽ، آﻟﻦ و ﻣﻮرﯾﺸﯿﻤﺎ ﻣﺤﺎﺳﺒﻪ و راﺑﻄﻪ ﺟﺎﻧﺸﯿﻨﯽ ﯾﺎ ﻣﮑﻤﻠﯽ ﻧﻬﺎده آب و ﻣﯿﺰان اﯾﻦ راﺑﻄﻪ ﺑﺎ ﺳﺎﯾﺮ ﻧﻬﺎدهه ﺗﻌﯿﯿﻦ ﺷﺪ. ﺟﻬﺖ ﺗﺄﻣﯿﻦ اﻫﺪاف ﺗﺤﻘﯿﻖ ﺗﺎﺑﻊ ﻫﺰﯾﻨﻪ ﺗﺮاﻧﺴﻠﻮگ ﺑﻪ ﻫﻤﺮاه ﻣﻌﺎدﻻت ﺳﻬﻢ ﻫﺰﯾﻨﻪ ﻧﻬﺎدهﻫﺎ، ﺑﺎ اﺳﺘﻔﺎده از روش رﮔﺮﺳﯿﻮنﻫﺎي ﺑﻪ ﻇﺎﻫﺮ ﻧﺎﻣﺮﺗﺒﻂ ﺗﮑﺮاري ﺑﺮآورد ﮔﺮدﯾﺪ. اﻃﻼﻋﺎت ﻣﻮرد ﻧﯿﺎز ﻣﺮﺑﻮط ﺑﻪ ﻣﺤﺼﻮﻻت زراﻋﯽ دﺷﺖ ﻗﺰوﯾﻦ و دوره زﻣﺎﻧﯽ )1394- 1386( ﻣﯽﺑﺎﺷﺪ. ﻧﺘﺎﯾﺞ ﺗﺤﻘﯿﻖ ﻧﺸﺎن داد ﮐﻪ در ﻃﻮل دوره ﻣﻮرد ﺑﺮرﺳﯽ آب ﮐﺎﻻﯾﯽ ﮐﻢ ﮐﺸﺶ ﻣﯽﺑﺎﺷﺪ و ﻣﯿﺰان آن 0/75- ﻣﺤﺎﺳﺒﻪ ﺷﺪ، ﻫﻤﭽﻨﯿﻦ ﮐﺸﺶ ﻣﺘﻘﺎﻃﻊ ﻣﻮرﯾﺸﯿﻤﺎي اﯾﻦ ﻧﻬﺎده ﺑﺎ ﻧﻬﺎدهﻫﺎي ﺳﻢ، ﻧﯿﺮوي ﮐﺎر، ﻣﺎﺷﯿﻦآﻻت و زﻣﯿﻦ ﺑﻪ ﺗﺮﺗﯿﺐ0,71، 0,93 ،0,99و 0,89 ﻣﺤﺎﺳﺒﻪ ﮔﺮدﯾﺪ ﮐﻪ دﻻﻟﺖ ﺑﺮ راﺑﻄﻪ ﺟﺎﻧﺸﯿﻨﯽ ﻧﻬﺎده آب ﺑﺎ ﺳﺎﯾﺮ ﻧﻬﺎدهﻫﺎ دارد. ﺑﺮرﺳﯽ ﺗﻘﺎرن ﮐﺸﺶﻫﺎ ﻧﯿﺰ دﻻﻟﺖ ﺑﺮ ﻋﺪم ﺗﻘﺎرن ﮐﺸﺶ ﻣﻌﻤﻮﻟﯽ و ﮐﺸﺶ ﻣﻮرﯾﺸﯿﻤﺎ و ﺗﻘﺎرن ﮐﺸﺶ آﻟﻦ ﻧﻬﺎده آب ﺑﺎ دﯾﮕﺮ ﻧﻬﺎدهﻫﺎ ﺑﻮد. در اﯾﻦ راﺳﺘﺎ ﮐﺸﺶ ﻣﺘﻘﺎﻃﻊ ﻣﻮرﯾﺸﯿﻤﺎي ﻧﻬﺎدهﻫﺎي ﺳﻢ، ﻧﯿﺮوي ﮐﺎر، ﻣﺎﺷﯿﻦآﻻت و زﻣﯿﻦ ﺑﺎ ﻧﻬﺎده آب، ﺑﻪ ﺗﺮﺗﯿﺐ 0,91 ،0,86 ،0,28 و 0,90ﺣﺎﺻﻞ ﺷﺪ ﮐﻪ ﻧﺸﺎندﻫﻨﺪه ﻣﺘﻘﺎرن ﻧﺒﻮدن اﯾﻦ ﮐﺸﺶ ﺑﻮد ﮐﻪ ﻣﯿﺰان ﺗﻔﺎوت ﮐﺸﺶﻫﺎ ﺑﺴﺘﮕﯽ ﺑﻪ ﺗﻔﺎوت در ﺳﻬﻢ ﻫﺰﯾﻨﻪ دو ﻧﻬﺎده ﻣﻮرد ﺑﺮرﺳﯽ دارد.
  • Keywords
    Substitution Elasticity , Iterative seemingly unrelated regressions
  • Journal title
    Journal of Agricultural Science and Technology (JAST)
  • Serial Year
    2020
  • Record number

    2524256