BibTex RIS Kaynak Göster

Verimliliği etkileyen faktörlerin analizi: Türkiye'nin 500 büyük sanayi kuruluşu üzerinde bir uygulama

Yıl 2010, Sayı: 3, 7 - 19, 01.04.2010

Öz

Verimlilik genel olarak üretim sürecinden elde edilen çıktı ile bu çıktıyı yaratmak için kullanılan girdi arasındaki ilişki olarak tanımlanmaktadır. Verimlilikteki artış, hem ülkenin refah düzeyi hem de işletmelerin piyasa değerleri açısından önemli bir göstergedir. Dolayısıyla, verimliliği etkileyen faktörlerin belirlenmesi ve kontrol edilmesi yöneticiler için oldukça önemli bir konudur. Bu bağlamda, parametrik olmayan regresyon analizi ile verimliliği etkileyen faktörler araştırılmış ve bu amaçla Türkiye'nin 500 Büyük Sanayi Kuruluşu ele alınmıştır. Analiz sonuçlarına göre aktif karlılığı ve satışların, verimliliği olumlu yönde etkilediği belirlenmiştir. Ayrıca, parametrik olmayan regresyon analizi ile elde edilen sonuçların, parametrik regresyona göre daha iyi olduğu görülmüştür.

Kaynakça

  • [1]Adewuyi, A. O., Olowookere A. E., (2009), ‘Impact of Governance Instruments on the Productivity of Nigerian Listed Firms’, The Icfai University Journal of Corporate Governance, pp. 51–74
  • [2]Akal Zühal, (2002), İşletmelerde Performans Ölçüm ve Denetimi: Çok Yönlü Performans Göstergeleri, Milli Prodüktivite Merkezi Yayınları No:473, 5.Basım, Ankara, [3]Bao, B. H., Bao, B. H., (1989), ‘An Empirical Investigation of the Association Between Productivity and Firm Value’, Journal of Business Finance and Accounting, Vol. 16, pp. 699–717
  • [4]Belkaoui, A. R., (1999), ‘Productivity, Profitability, and Firm Value’, Journal of International Financial Management and Accounting, Vol. 10, pp
  • 188–201
  • [5]Brockmann M., Gasser T., Hermann E., (1993), “Locally Adaptive Bandwidth Choice for Kernel Regression Estimators”, Journal of the American Statistical Association, Vol 88, No.424, pp.1302–1309
  • [6]Cleveland, W.S., Devlin S.J.,(1988), “Locally Weighted Regression: An Approach to Regresion Analysis by Local Fitting ”, Journal of the American Statistical Association, No: 83, pp 596-610
  • [7]Dinardo, John Justin Tobias (2001); “Nonparametric Density and Regression Estimation”, Journal of Economic Perspectives, Volume 15, No:4, pp.11–28
  • [8]Eubank R.L., (1990), Nonparametric Regression And Spline Smoothing, Second Edition
  • [9]Fernandes A. M., (2008), “Firm Productivity in Bangladesh Manufacturing Industries”, World Development, Vol.36, No.10, pp.1725-1744
  • [10]Fox John, (2000), Nonparametric Simple Regression: Smoothing Scatterplots, Sage University Paper Series No: 07–130
  • [11]Hardle Wolfgang (1999), Applied Nonparametric Regression, Cambridge University Pres
  • [12]Hitt L. M., Brynjolfsson E., (1996), “Productivity, Business Profitability and Consumer Surplus:Three Different Measures of Information Technology Value”, Management Information Systems Quarterly, Vol.20, No.2, pp.121-142, [13]Hardle W., Müller M., Sperlich S., Werwatz A., (2004), Nonparametric and Semiparametric Models: An Introduction, Springer Series in Statistics
  • [14]Hardle W., Linton O., (1994), Applied Nonparametric Methods, Cowles Foundation, Discussion Paper 1069 [15]Janz, N., Lööf, H., Peters, B., (2008), ‘Firm Level Innovation and Productivity – Is There a Common Story Across Countries’, Center for European Economic Research, Working Paper Series
  • [16]Kim, E., (2006), ‘The Impact of Family Ownership and Capital Structures on Productivity Performance of Korean Manufacturing Firms: Corporate Governance and the “Chaebol Problem”’, Journal of the Japanese and International Economies, Vol. 20, pp. 209–233
  • [17]Margaritis D., Psillaki M., (2007), “Capital Structure and Firm Efficiency”, Journal of Business Finance & Accounting, 34(9) & (10), 1447–1469
  • [18]Mok, V., Yeung, G., Han, Z., Li, Z., (2007), ‘Leverage, Technical Efficiency and Profitability: An Application of DEA to Foreign Invested Toy Manufacturing Firms in China’, Journal of Contemporary China, Vol. 16, pp
  • 259–274
  • [19]Milli Prodüktivite Merkezi (2009), “Verimlilik Nedir?”, http// www.mpm
  • org.tr/verimlilik, Erişim Tarihi: 20 Mart [20]Miller David (1987), “Analyzing Total Factor Productivity with ROI As a Criterion”, Management Science, Vol.33, No.11, pp.1501–1505
  • [21]Nadaraya E.A., (1964), “On Estimating Regression”, Theory of Probability and Its Applications, 9, 141–142 [22]Neter J., Kutner M.H., Nachtsheim C.J, Wasserman W., (1996), Applied Linear Statistical Models, Fourth Edition, McGraw-Hill
  • [23]Nunes, P. M., Sequeira, T. N., Serrasqueiro, Z., (2007), ‘Firms’ Leverage and Labour Productivity: A Quantile Approach in Portuguese Firms’, Applied Economics, Vol. 39, pp. 1783–1788
  • [24]Prokopenko Joseph ,(1998), Verimlilik Yönetimi Uygulamalı El Kitabı, Çev: Baykal, Olcay. Atalay, Nevda. Fidan, Erdemir, Milli Prodüktivite Merkezi yayınları: 476, Ankara
  • [25]Racine Jeff, (1997), “Consistent Significance Testing for Nonparametric Regression”, Journal of Business&Economic Statistics, Vol. 15, No
  • 3,pp.369–378
  • [26]Racine Jeffrey, (2008), “Nonparametric Econometrics: A Primer” , Foundations and Trends in Econometrics, Vol. 3, No.1, s.47
  • [27]Saibal, G., (2009), ‘Productivity and Financial Structure: Evidence from Indian High-Tech Firms’, Munich Personal RePEc Archieve, MPRA Paper No. 19467
  • [28]Sumanth David, (1985), Productivity Engineering and Management, Mc-Graw Hill Book Company, International Student Edition, USA
  • [29]Saraçoğlu Bedriye, Halit Suiçmez, (2006), “Türkiye İmalat Sanayiinde Verimlilik, Teknolojik Gelişme, Yapısal Özellikler ve 2001 Krizi Sonrası Reel Değişimler (1980–2005) Verimlilik Raporu 2006, Milli Prodüktivite Merkezi, Ankara [30]Tristen Hayfield, Jeffrey Racine (2008), “Nonparametric Econometrics: The np Package”; Journal of Statistical Software, Volume 27, Issue 5, s.10
  • [31]TC Başbakanlık Türkiye İstatistik Kurumu, Haber Bülteni (2009), “Yenilik Araştırması, 2006–2008”, Sayı:233, 31 Aralık
  • [32]Watson G.S., (1964), “Smooth Regression Analysis”, Sankhya Ser. A, 26, 359–372
  • [33]Yatchew Adonis, (1998), “Non-Parametric Regression Techniques in Economics”, Journal of Economic Literature
  • [34]Yaşar, M., Nelson, C., Rejesusu, R., (2006), ‘Productivity and Exporting Status of Manufacturing Firms’, Review of World Economics, Vol. 142, pp
  • 675–694
  • [35]Zhang, A., Zhang, Y., Zhao, R., (2002), ‘Profitability and Productivity of Chinese Industrial Firms: Measurement and Ownership İmplications’, China Economic Review, Vol. 13, pp. 65–88

Analysis of factors affecting productivity: An Application on Turkey's top 500 industrial enterprises

Yıl 2010, Sayı: 3, 7 - 19, 01.04.2010

Öz

Productivity, basically, is defined as relationship between output that obtained from production process and input that used to create output. Increasing in the productivity is very important indicator in terms of both whole country economy and market value of the firms'. Therefore, determining of the factors which affect productivity and controlling of those are crucial issue for the managers. Within this context, using non-parametric regression method, important factors affecting productivity are investigated and Turkey's Top 500 Industrial Enterprises are used to conduct this analysis. According to results of the analysis, profitability and sales are found significant statistically. Also it has been showed that results obtained with non-parametric regression analysis are better than that of parametric regression analysis.

Kaynakça

  • [1]Adewuyi, A. O., Olowookere A. E., (2009), ‘Impact of Governance Instruments on the Productivity of Nigerian Listed Firms’, The Icfai University Journal of Corporate Governance, pp. 51–74
  • [2]Akal Zühal, (2002), İşletmelerde Performans Ölçüm ve Denetimi: Çok Yönlü Performans Göstergeleri, Milli Prodüktivite Merkezi Yayınları No:473, 5.Basım, Ankara, [3]Bao, B. H., Bao, B. H., (1989), ‘An Empirical Investigation of the Association Between Productivity and Firm Value’, Journal of Business Finance and Accounting, Vol. 16, pp. 699–717
  • [4]Belkaoui, A. R., (1999), ‘Productivity, Profitability, and Firm Value’, Journal of International Financial Management and Accounting, Vol. 10, pp
  • 188–201
  • [5]Brockmann M., Gasser T., Hermann E., (1993), “Locally Adaptive Bandwidth Choice for Kernel Regression Estimators”, Journal of the American Statistical Association, Vol 88, No.424, pp.1302–1309
  • [6]Cleveland, W.S., Devlin S.J.,(1988), “Locally Weighted Regression: An Approach to Regresion Analysis by Local Fitting ”, Journal of the American Statistical Association, No: 83, pp 596-610
  • [7]Dinardo, John Justin Tobias (2001); “Nonparametric Density and Regression Estimation”, Journal of Economic Perspectives, Volume 15, No:4, pp.11–28
  • [8]Eubank R.L., (1990), Nonparametric Regression And Spline Smoothing, Second Edition
  • [9]Fernandes A. M., (2008), “Firm Productivity in Bangladesh Manufacturing Industries”, World Development, Vol.36, No.10, pp.1725-1744
  • [10]Fox John, (2000), Nonparametric Simple Regression: Smoothing Scatterplots, Sage University Paper Series No: 07–130
  • [11]Hardle Wolfgang (1999), Applied Nonparametric Regression, Cambridge University Pres
  • [12]Hitt L. M., Brynjolfsson E., (1996), “Productivity, Business Profitability and Consumer Surplus:Three Different Measures of Information Technology Value”, Management Information Systems Quarterly, Vol.20, No.2, pp.121-142, [13]Hardle W., Müller M., Sperlich S., Werwatz A., (2004), Nonparametric and Semiparametric Models: An Introduction, Springer Series in Statistics
  • [14]Hardle W., Linton O., (1994), Applied Nonparametric Methods, Cowles Foundation, Discussion Paper 1069 [15]Janz, N., Lööf, H., Peters, B., (2008), ‘Firm Level Innovation and Productivity – Is There a Common Story Across Countries’, Center for European Economic Research, Working Paper Series
  • [16]Kim, E., (2006), ‘The Impact of Family Ownership and Capital Structures on Productivity Performance of Korean Manufacturing Firms: Corporate Governance and the “Chaebol Problem”’, Journal of the Japanese and International Economies, Vol. 20, pp. 209–233
  • [17]Margaritis D., Psillaki M., (2007), “Capital Structure and Firm Efficiency”, Journal of Business Finance & Accounting, 34(9) & (10), 1447–1469
  • [18]Mok, V., Yeung, G., Han, Z., Li, Z., (2007), ‘Leverage, Technical Efficiency and Profitability: An Application of DEA to Foreign Invested Toy Manufacturing Firms in China’, Journal of Contemporary China, Vol. 16, pp
  • 259–274
  • [19]Milli Prodüktivite Merkezi (2009), “Verimlilik Nedir?”, http// www.mpm
  • org.tr/verimlilik, Erişim Tarihi: 20 Mart [20]Miller David (1987), “Analyzing Total Factor Productivity with ROI As a Criterion”, Management Science, Vol.33, No.11, pp.1501–1505
  • [21]Nadaraya E.A., (1964), “On Estimating Regression”, Theory of Probability and Its Applications, 9, 141–142 [22]Neter J., Kutner M.H., Nachtsheim C.J, Wasserman W., (1996), Applied Linear Statistical Models, Fourth Edition, McGraw-Hill
  • [23]Nunes, P. M., Sequeira, T. N., Serrasqueiro, Z., (2007), ‘Firms’ Leverage and Labour Productivity: A Quantile Approach in Portuguese Firms’, Applied Economics, Vol. 39, pp. 1783–1788
  • [24]Prokopenko Joseph ,(1998), Verimlilik Yönetimi Uygulamalı El Kitabı, Çev: Baykal, Olcay. Atalay, Nevda. Fidan, Erdemir, Milli Prodüktivite Merkezi yayınları: 476, Ankara
  • [25]Racine Jeff, (1997), “Consistent Significance Testing for Nonparametric Regression”, Journal of Business&Economic Statistics, Vol. 15, No
  • 3,pp.369–378
  • [26]Racine Jeffrey, (2008), “Nonparametric Econometrics: A Primer” , Foundations and Trends in Econometrics, Vol. 3, No.1, s.47
  • [27]Saibal, G., (2009), ‘Productivity and Financial Structure: Evidence from Indian High-Tech Firms’, Munich Personal RePEc Archieve, MPRA Paper No. 19467
  • [28]Sumanth David, (1985), Productivity Engineering and Management, Mc-Graw Hill Book Company, International Student Edition, USA
  • [29]Saraçoğlu Bedriye, Halit Suiçmez, (2006), “Türkiye İmalat Sanayiinde Verimlilik, Teknolojik Gelişme, Yapısal Özellikler ve 2001 Krizi Sonrası Reel Değişimler (1980–2005) Verimlilik Raporu 2006, Milli Prodüktivite Merkezi, Ankara [30]Tristen Hayfield, Jeffrey Racine (2008), “Nonparametric Econometrics: The np Package”; Journal of Statistical Software, Volume 27, Issue 5, s.10
  • [31]TC Başbakanlık Türkiye İstatistik Kurumu, Haber Bülteni (2009), “Yenilik Araştırması, 2006–2008”, Sayı:233, 31 Aralık
  • [32]Watson G.S., (1964), “Smooth Regression Analysis”, Sankhya Ser. A, 26, 359–372
  • [33]Yatchew Adonis, (1998), “Non-Parametric Regression Techniques in Economics”, Journal of Economic Literature
  • [34]Yaşar, M., Nelson, C., Rejesusu, R., (2006), ‘Productivity and Exporting Status of Manufacturing Firms’, Review of World Economics, Vol. 142, pp
  • 675–694
  • [35]Zhang, A., Zhang, Y., Zhao, R., (2002), ‘Profitability and Productivity of Chinese Industrial Firms: Measurement and Ownership İmplications’, China Economic Review, Vol. 13, pp. 65–88
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Nuray Tezcan Bu kişi benim

Yayımlanma Tarihi 1 Nisan 2010
Gönderilme Tarihi 16 Ağustos 2014
Yayımlandığı Sayı Yıl 2010 Sayı: 3

Kaynak Göster

APA Tezcan, N. (2010). Verimliliği etkileyen faktörlerin analizi: Türkiye’nin 500 büyük sanayi kuruluşu üzerinde bir uygulama. Verimlilik Dergisi(3), 7-19.

                                                                                                          23139       23140           29293

22408  Verimlilik Dergisi Creative Commons Atıf-GayrıTicari 4.0 Uluslararası Lisansı (CC BY-NC 4.0) ile lisanslanmıştır.