A Comparative Analysis of The Efficiency and Total Factor Productivity of Selected Food Processing Companies in Turkey

Yıl 2021, Cilt: 6 Sayı: 16, 383 - 397, 31.10.2021

Saeid HAJIHASSANIASL

https://doi.org/10.25204/iktisad.849815

Öz

The main purpose of the study is the efficiency and productivity analysis of selected firms that operating in the Turkey food processing industry in 2015-2019 period. In the study, two variables, namely the equity of the firms and the number of paid employees, are used as input, while the net sales values of the firms are used as output. Estimates were made in two stages using the Data Envelopment Analysis method and the Malmquist index approach as a method. The technical efficiency results of the firms in the first stage showed that all firms except one firm operate below the optimal scale. The results of the Malmquist index in the second stage of the study showed that the technical efficiency changes of all firms increased in the examined period, and there was an increase in productivity in all firms except for three firms. However, technological development changes in most of the companies decreased in the period under consideration. According to the results, the decrease in technological change was determined as the important factor causing the decrease in productivity of these companies.

Anahtar Kelimeler

Efficiency, Productivity, Malmquist Index, Data Envelopment Analysis, Food Industry

Türkiye'de Seçilmiş Gıda İşleme Firmalarının Etkinlik ve Toplam Faktör Verimliliğinin Karşılaştırmalı Analizi

Öz

Bu çalışmanın temel amacı 2015-2019 dönemi Türkiye gıda işleme sektöründeki firmaların etkinlik ve verimlilik analizidir. Çalışmada girdi olarak firmaların özkaynakları ve ücretli çalışan sayısı olmak üzere iki değişken kullanırken çıktı olarak firmaların net satış rakamları kullanılmıştır. Veri Zarflama Analizi yöntemi ile Malmquist endeksi yaklaşımı kullanarak iki aşamada tahminler yapılmıştır. İlk aşamadaki firmaların teknik etkinlik sonuçları, bir firma dışında diğer bütün firmaların optimal ölçeğin altında faaliyet yaptıklarını göstermiştir. Çalışmanın ikinci aşamasındaki Malmquist endeksi sonuçları ise incelenen dönemde bütün firmaların teknik etkinlik değişmelerinin arttığını ve ayrıca üç firma dışında diğer bütün firmalarda verimlilik artışı olduğunu göstermiştir. Ancak firmaların birçoğunda teknolojik gelişme değişmeleri ele alınan dönemde düşüş göstermiştir. Sonuçlara göre teknolojik değişmesindeki düşüş, bu firmaların verimlilik düşüşüne neden olan önemli etken olarak belirlenmiştir.

Anahtar Kelimeler

Etkinlik, Verimlilik, Malmquist Endeksi, Gida Endüstri, Veri Zarflama Analizi

Kaynakça

• Akın, F. (2012). Gıda ürünleri ve içecek sanayinin ekonomik özellikleri. Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(3), 17-70
• Alirezaee, M. R. (2003). Designing a decision support system to evaluate the performance of a commercial bank's branches. Monetary and Banking Research Institute Publication, Tehran, Iran
• Alirezaee, M.R., and Afsharian, M. (2007). A combination method for measuring TFP growth using DEA models and Tornqvist productivity. Modern Human Sciences, 11(3), 137-156
• Amin, A.M. (2010). An analysis technical efficiency and total factor productivity (TFP) growth of the Indonesian food manufacturing industry. Conference Paper. UUM Malaysia and UIR Pekan Baru, Riau, Indonesia, 1-11
• Bakhtiari, S., Dehghani Zadeh, M. and Hosseini Pour, S.M. (2014). An analysis of labor productivity and efficiency in the cooperative sector: a case study of industrial cooperatives in Yazd province. Management and development process, 27(3), 45-73
• Baliyan, S. K., Kumar, S. and Baliyan, K. (2015). Efficiency and productivity growth of food processing industry in india: a Malmquist index approach. Journal of Economic & Social Development, XI (1), 11-24
• Banker, R.D., Charnes, A., and Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1031-1142
• Barros, C. P., Barroso, N., and Borges, M. R. (2005). Evaluating the efficiency and productivity of insurance companies with a Malmquist index: a case study for Portugal. The Geneva Papers on Risk and Insurance-Issues and Practice, 30, 244-267
• Başer, F. and Akgül, B. (2002). Dahilde işleme rejiminde tarım ve gıda sanayi ürünlerinin yeri. Dış Ticaret Dergisi, 1-2
• Çakır, S. and Perçin, S. (2012). Efficiency measurement in public sugar refineries: DEA- Malmquist TFP application, Anadolu University Journal of Social Sciences, 12(4), 49-64
• Caves, D. W., Christensen, L. R., and Diewert, W. E. (1982). The economic theory of index numbers and the measurement of input, output and productivity. Econometrica, 50(6), 1393-1414
• Charnes, A., Cooper, W. W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444
• Coelli, T.J. (1996). A Guide to DEAP Version 2.1: A data envelopment analysis (computer) program, CEPA Working Papers. No. 8
• Coelli, T., Rao, D.S., O'Donnell, C. and Battese, G.E., (2005). An introduction to efficiency and productivity analysis. Second Edition. Springer
• Debreu, G. (1951). The coefficient of resource utilization. Econometrica, 19(3), 273-292
• Dizkırıcı, A.S. (2014). Measuring the financial performances of the companies listed on Istanbul stock exchange food, beverage index via data envelopment analysis and their comparision according to Malmquist index. The Journal of Accounting and Finance, (63), 151-170
• Emami Maibodi, A. and Izadi, Z. (2008). Measuring the technical efficiency and productivity of Iranian oil refineries. Quarterly Energy Economices Review, 5(17), 31-56.
• Färe, R., Grosskopf, S., Norris, M., and Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66-83
• Farrell, M. (1957), The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-281.
• Fathabadi, M. and Soufi Majidpour, M. (2018). Higher education, technical efficiency and total productivity changes: evidence from Iran's manufacturing industries. Journal of Research and Planning in Higher Education, 24(2), 27-51.
• Ibne Afzal, M.N., Lawrey, R., Anaholy, M.S. and Gope, J. (2018). A comparative analysis of the efficiency and productivity of selected food processing industries in Malaysıa. Malaysian Journal of Sustainable Agriculture, 2(1),19-28
• Istanbul Chamber of Industry, (2020). http://www.iso.org.tr/projeler/arastirmalar/turkiyenin-500-buyuk-sanayi-kurulusu (date of access: 16.12.2020)
• Kohansal M.R. and Mahmoodi, M. (2020). The investigation of effects of exchange rate volatility on export and value added of Iranian food industries (application of structural vector auto-regression model). Majlis & Rahbord, 27(101), 59-94
• Koopmans, T. (1951). Analysis of production as an efficient combination of activities, activity. In T.C. Koopmans, Ed, Activity analysis of production and allowance. Monograph No. 13. John Wiley and Sons, Inc., New York
• Kumbhakar, S.C. (2004). Productivity and efficiency measurement parametric econometric methods. Presented at The XIII International Tor Vergata Conference on Banking and Finance. Transparency, Governance and Markets. Rome, Italy (Dec 1-3, 2004)
• Madau, F.A., Furesi, R. and Pulina, P. (2017). Technical efficiency and total factor productivity changes in European dairy farm sectors. Agricultural and Food Economics, 5(17), 1-14
• Malmquist, S. (1953). Index numbers and indifference surface. Trabajos De Estatistica, 4, 209-242.
• Nishimizu, M., and Page, J. M. (1982). Total factor productivity growth, technological progress and technical efficiency change: dimensions of productivity change in Yugoslavia, 1965-78, The Economic Journal, 92(368), 920-936.
• Nouri, S.H. and Nilipour Tabatabaei S. (2007). Prioritization of agro-based-industries in the Falavarjan township of Isfahan province using Delphi method. Geographical Research Quarterly, 39(61), 161-177
• Pfitzer, M. and Krishnaswamy, R. (2007). The role of the food & beverage sector in expanding economic opportunity. Corporate Social Responsibility Initiative Report No. 20. Cambridge, MA: Kennedy School of Government, Harvard University
• Solow, R.M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312-320
• Sultan, A. and Bhat, A. (2020). Measurement of total factor productivity of agro-food processing firms in Northern India. Journal of Critical Reviews, 7(7), 1734-1750
• Tatlı, H. and Bayrak, R. (2017). Total factor productivity analysis in food sector. International Journal of Advances in Management and Economics, 6(4), 25-34
• Torkamani J. and Zoughipour, A. (2008). Factors affecting export of processed food products in Iran. Agricultural Economics: Iranian Journal of Agricultural Economics (Economics and Agriculture Journal), 2(1), 23-33
• Trienekens, J. and P. Zuurbier (2008). Quality and safety standards in the food industry, developments and challenges. International Journal of Production Economics, 113(1), 107-122
• Verma, S., Kumavat, A. and Biswas, A. (2015). Measurement of technical efficiency using data envelopment analysis: a case of Indian textile industry. 3rd International Conference on Advances in Engineering Sciences & Applied Mathematics (ICAESAM’2015) March 23-24, 2015, London (UK)
• Voulgaris, F. and Lemonakis, C. (2013). Productivity and efficiency in the agri-food production industry: the case of fisheries in Greece. Procedia Technology, 8, 503-507
• Zrelli, H., Alsharif, A. H. and Tlili, I. (2020). Malmquist indexes of productivity change in Tunisian manufacturing industries, Sustainability, 12(4), 1-20.