Estimation of Tea supply and demand elasticities in Iran (Application of threshold regression model)

Subject Areas : Agricultural Economics Research

Ali Akbar Baghestany ¹ , Habibeh Sherafatmand ²

1 - Assistant Professor, Agricultural Planning, Economic and Rural Development Research Institute (APERDRI). Tehran- Islamic Republic of Iran. Address: Karimkhan-e-Zand Blvd, South Shahid Azodi(Aban) Ave., Roudsar St. No.5. Tehran - Iran
2 - PHD in agricultural economic.

Received: 2018-08-28 Accepted : 2021-06-13 Published : 2021-10-23

Keywords: Elasticity, threshold regression model, two regime, tea demand, Nerlove model,

Abstract :

Introduction:Tea is one of strategic products in north of Iran with a history of 120 years. However, Per capita consumption of tea in Iran from 1977 to 2016 reached from 2.1 kg to 5.1 kg. Increasing consumption lead to accurate estimation of tea demand and supply and would help to adopt effective policies.
Materials and Methods: annual prices and demand data is used for estimation Threshold regression model. The supply elasticities are calculated by original Nerlovian partial adjustment framework.
Findings: The Hansen test showed that per capita income had two regimes (one threshold) in this study. The level of income threshold is about 20 million rials. This study, with the estimation of nonlinear structure in tea demand, showed that, income elasticity for both high and low income level is positive and significant
Conclusion:For low-income groups, tea is an inelastic and essential commodity that tends to become more elastic as income increases. Income elasticity of demand is positive and significant for both high and low income groups. The results showed that the possibility of increasing production by increasing the cultivation area is limited.

References:

1. Akbari, Ahmadi Javidi M., Ziaeei M.B., & Barakati SM. (2017). Estimating Food
   Demand in Sistan and Baluchestan Using Two Systems of NNDS and QUAIDS. Journal of Agricultural Economics Research, 9(2): 93-115.

https://www.sid.ir/fa/journal/ViewPaper.aspx?id=295375

2. Alimohamadi, Z. (2015). Demand of Iranian urban households for selected foodstuffs using an implicit direct collectible demand model. Master Thesis, Faculty of Agriculture, University of Tabriz.


3. Akbari A., Ziaei M.B., & Mohammad Ghahremanzadeh M. (2013). Welfare Impacts of Soaring Food Prices on Iranian Urban .Households: Evidence from survey data. International Journal of Business and Development Studies, 5(1): 23-39.


4. Baltagi B.H., & Levin D. (1986). Estimating dynamics demand for cigarrete using
   panel data, the effects of bootlegging taxation and advertising reconsidered. Rev.
      Stat, 68(1): 55-148. http://links.jstor.org/sici?sici=0034-6535%2819860 ... O%3B2-Q&origin=repec


5. Baltagi B.H., Xiong W., & Griffen J.M. (2000). To pool or not to pool: homogeneous versus heterogeneous estimators applied to cigarette demand. The Review of Economics and Statistics, 82(1): 117-126.

http://www.mitpressjournals.org/doi/pdf/10.1162/003465300558551.

6. Das N.C. (2006). Export demand function for Bangladesh's tea. Bangladesh J.
   Agric,15:1-18.

DOI: 10.22004/ag.econ.200185.

7. Farajzadeh Z., & Esmaeili A. (2016). The welfare effect of rising imported food
       prices in Iran. Iranian journal of economic studies, 5(2):189-208.


8. FAO Report. (2011). A demand analysis for the tea market. Committee on commodity


9. Huang B.N., & Yang C.W. (2006). Demand for cigarettes revisited: an application of
   the threshold regression model. Journal of Agricultural Economics, 34: 81-86.

https://doi.org/10.1111/j.1574-0862.2006.00105.x.

10. Falah Alipoor S., & Karbasi A.R. (2007). Estimation of Tea Group Demand Function
    for Iranian Urban Households Using Linear Expenditure System Model. 6th Iranian  Agricultural Economics Conference.

https://civilica.com/doc/46957/

11. Lababi Mir Ghavami M., Nasabian Sh., & Yazdani S. (2016). Factors affecting the
    supply of tea in Iran. Case study of Guilan province. Quarterly Journal of Economic
        Modeling, 2(10):115-130.


12. Layani Gh., & Bakhshoodeh M. (2016). Study of changes in poverty levels and
    determining the vulnerability of rural households due to rising global food prices in Iran. Quarterly Journal of Economic Research (Sustainable Growth and
        Development), 16(3): 1-27.


13. Mir Hosseini Moghadam A., & Sanjari M. (2017). The flourishing of the country's tea
    industry is a symbol of the realization of a resilient economy. Presented in the
        country's tea organization. irantea.org.


14. Ministry of Agriculture-Jahad. (2017). Report for tea industry in Iran


15. Shah Abadi A., & Esmaeil Beigi M. (2012). Determinants of supply and demand of
    rice market rice in Iran. Journal of Agricultural Economics Researches, 4(1): 139-160.


16. Shahikitash M.N., & Mohamadzadeh A. (2014). Measuring the elasticity of
    conjectural changes in the structure of multilateral monopolies based on the Iwata approach. Study of the Iranian food and beverage industry. Journal of Economics and Agricultural Development, 28(3): 272-281.


17. Yazdani S., & Mazhari M. (1995). Investigating the factors affecting the supply of sugar beet in Khorasan province. Iranian Journal of Agricultural Sciences, 26(3): 1-27.


18. Zibaei M. & Mazaheri Z. (2009). Government size and economic growth in Iran with emphasis on agricultural sector growth: a threshold regression model. Journal of economics and agriculture development, 23(1): 11- 20.

http://eco.iaufb.ac.ir/article_555547.html