TECHNICAL EFFECIENCY OF TEA PROCESSING UNITS IN IRAN
This study used Data Envelopment Analysis (DEA) to measure the technical efficiency of tea processing units in Rudsar County, northern Iran. The required data sets were collected in 2014 by filling out questionnaires and interviewing with the managers of tea processing units. As an innovation, satisfaction level of the main buyer of the produced tea was considered as output in DEA model. Based on the results of CCR input-oriented model, 19% of tea processing units with efficiency score of 1 were identified as efficient units and 81% of units had inefficient performance. The minimum technical efficiency score is equal to 0.479 and the average technical efficiency in these units is equal to 0.727. The results of correlation analysis showed that there was a direct and significant correlation between the time of rolling and the withering temperature with the technical performance of tea processing units.
2. Azar, A., Moetameni, A. (2004). Measuring firms’ productivity using Data Envelope Analysis (DEA). Journal of Education and Learning, 11, 41-54.
3. Azimi, R., Allahyari, M.S., Damalas, C.A., Kavoosi-Kalashami, M., (2017). Technical performance of Plant Clinics as providers of crop protection services: The case of Guilan Province, Iran. Crop Protection, 101, 12-18.
4. Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429- 444.
5. Cheraghi, D., Gholipour, S. (2008). Investigating the effect of economic policies on tea market adjustment in Iran. Journal of Commerce Studies, 37, 27-42.
6. Coelli, T.J. (2008). A guide to DEAP version 2.1. Center for Efficiency and productivity Analysis (CEPA), Working papers 96/08.
7. Emami Meybodi, A. (2005). The principles of efficiency and productivity measurement. Commerce Studies and Researches Institute Press, Tehran, Iran.
8. Hadipour Zimsar, S., Firouzi, S., Allahyari, M.S. (2018). Enhancers of the energy efficiency in tea processing industry. Energy Equipment and Systems, 6(2), 201-209.
9. Hasanpour, M. (1998). Tea Cultivation and Technology. University of Guilan’s Press.
10. Presidential Strategic Planning and Control Office, (2015). Report on the Iran’s tea industry.
11. Gholizadeh, M.H., Abbasi, R., Ebrahimpour Azbari, M., Mahdavi, R. (2008). Measurement and analysis of effective factors on the productivity of Iranian tea industry. Agricultural Economics and Development, 67, 19-39.
12. Jahanshahlo, G., Hossienzadeh Lotf, F., Nikmaram, H. (2007). Data envelope analysis and its applications, Asar Nafs Press, Tehran, Iran.
13. Mahdavi, R. and Abbasi, R. (2005). Measuring and analyzing the productivity of tea industry in Guilan Province, Iran, Guilan Province Management and Planning Organization Press.
14. Mehrgan, M.R. 2004. Quantitative models for evaluating organizations performance, University of Tehran Press, Tehran, Iran.
15. Qin, N.J., Zhou, H. (1992). Energy consumption and conservation in tea processing in China. Renewable Energy, 2(1), 1-5.
16. Saberi, S., Almasi, M., Minaei, S., Bakhoda, H., Salarian, M.B. (2012). Investigating wastes in tea processing units of Tonekabon county. National Conference on Sustainable Development, 10 March 2012, Tehran, Iran.
17. Sepehrdoust, H., Dastjerdi, H. (2013). Investigating the technical efficiency of agriculture subsectors using the window analysis method. Journal of Agricultural Science and Sustainable Production, 41, 131-141.
18. Taulo, J.L., Sebitosi, A.B. (2013). Improving energy efficiency in Malawian tea industries using an integrated multi-objective optimization method combining IDA, DEA and evolutionary algorithms. Industrial and commercial use of energy conference (ICUE), 20-21 August 2013, Cape Town, South Africa.
19. Tsaur, R.C., Chen, I.F., Chan, Y.S. (2017). TFT-LCD industry performance analysis and evaluation using GRA and DEA models. International Journal of Production Research, 55(15), 4378-4391.
20. Wadonda, C.E. (1998). Technical efficiency in manufacturing industries in Malawi using deterministic production frontier, University of Malawi and Wadonda Consult, Working Paper No. WC/05/981998.