ENDÜSTRİ 4.0 SÜRECİNDE SERMAYE YOĞUNLUĞU VE AR-GE HARCAMALARININ İMALAT SANAYİ KATMA DEĞERİ ÜZERİNDEKİ ETKİLERİ: PANEL VERİ ANALİZİ
Abstract
Endüstri 4.0 ya da 4. Sanayi Devrimi, dünyanın her yerinden gün
geçtikçe daha fazla tartışılan bir olgudur ve kuşkusuz, durumun tüm yönleriyle ele
alınması gereken bir gerçektir, çünkü bu, devrimlerin son neslidir. Bu açıdan bakıldığında,
bu çalışmada, sanayinin 4.0 üretim faktörleri ile ekonomik gelişmenin /
büyümenin çekirdeğini oluşturan üretim katma değeri arasındaki ilişki,
1996-2015 dönemi boyunca sanayinin 4.0 sürecindeki dokuz önde gelen ülkeyi kapsayan
panel verileri kullanılarak belirlenmiştir. Yatay kesit bağımlılığını dikkate alan
Dumitrescu-Hurlin (2012) panel Granger nedensellik testinin uygulandığı çalışmanın
ampirik sonuçları, seçili ülkelerde sermaye yoğunluğundan imalat sanayi katma değerine
doğru tek yönlü, AR-GE harcamalarının GSYİH içindeki payı ile imalat sanayi katma
değeri arasında ise çift yönlü nedensel ilişkilerin olduğunu göstermektedir. Ayrıca,
ampirik bulgular, sanayi 4.0 sürecinin girdi değişkenlerinden olan sermaye yoğunluğu
ve Ar-Ge harcamalarının, imalat sanayi katma değerini önemli ölçüde artırdığını
göstermiştir.
References
- Alçın, S.; Endüstri 4.0 ve İnsan Kaynakları, Popüler Yönetim Dergisi, 2016,Sayı 63Balan, Feyza. (2015). Testing the Demographic Economic Paradox for Newly Industrialized Countries A Panel Data Analysis. Economic Insights- Trends and Challanges, 67(2), 1-10 Breusch, T., Pagan, A. (1980). The Lagrange multiplier test and its application to model specifications in econometrics. Rev. Econ. Stud. 47 (1), 239–253.Drath R., Horch Alexander, “Industrie 4.0: Hit or Hype”, IEEE Industrial Electronics Magazine , Cİlt: 8, Sayı: 2, 2014.Dumitrescu, Elena-Ivona and Hurlin, Christophe. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.Ener Meliha, Kiliç Cüneyt, Balan Feyza, Kurt Ünzüle (2017). Entrepreneurship, Political and Financial Stability And Their Impact On Economic Growth: A Panel Data Analysis For Selected EU Countries. 13th International Conference on Knowledge, Economy Management Proceedings Fırat, S., U., Fırat, O., Z.; Sanayi 4.0 Üzerine Karşılaştırmalı Bir İnceleme: Kavramlar, Küresel Gelişmeler ve Türkiye, Toprak İşveren Dergisi, Sayı:114, 2017 .Hadri, K., and Kurozumi, E. (2012). A Simple Panel Stationarity Test in the Presence of Serial Correlation and a Common Factor, Economics Letters, 115, 31–34http://www.endustri40.com/endustri-tarihine-kisa-bir-yolculuk/ (01.03.2018)https://www.i-scoop.eu/industry-4-0/ (01.03.2018)https://www.plex.com/blogs/industry-4-0-advancements-in-manufacturing-technology.html (01.03.2018)Kiliç Cüneyt, Arıca Balan Feyza (2014). Economic Freedom Inflation Rate And Their Impact On Economic Growth A Panel Data Analysis. Romanian Journal of Economic Forecasting, 17(1):160-176. O'Connell, P. (1998), “The Overvaluation of Purchasing Power Parity”, Journal of International Economics, 44, 1-19.Öztürk, E., Koç, K. H.; Endüstri 4.0 ve Mobilya Endüstrisi, 4.Uluslararası Mobilya ve Dekorasyon Kongresi, Düzce / Türkiye, Ekim 2017.Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with multifactor error structure, Econometrica, 74, 967-1012.Pesaran, M.H., (2007), “A simple panel unit root test in the presence of cross section dependence”, Journal of Applied Econometrics, 22, 265-312.PwC, 2016 Global Industry 4.0 Survey, Nisan 2016.Torun Mustafa, Kiliç Cüneyt, Balan Feyza (2017). The Effects of Political Risk and GDP on Oil Product Imports: A Panel Analysis for Selected Oil-Dependent Countries. International Congress of Energy Economy and Security (ENSCON) World Bank, http://data.worldbank.org/indicator, (01.03.2018).
IMPACT OF CAPITAL INTENSITY AND R&D SPENDING ON MANUFACTURING INDUSTRY VALUE ADDED IN INDUSTRY 4.0 PROCESS: PANEL DATA ANALYSIS
Abstract
Industry 4.0 or 4th Industrial Revolution is a
phenomenon, which is being discussed more day by day all around the world, and
it is undoubtedly a fact to be taken into consideration with all aspects of the
situation because it is the latest generation of the revolutions. From this
perspective, in this paper, the relationship between drivers of production of
industry 4.0 and manufacturing value added that is the core of economic
development/growth is determined using panel data covering the nine leading countries
in the industry 4.0 process over the period 1996-2015. Empirical results of this
study was applied by the Dumitrescu-Hurlin (2012) panel Granger causality test,
which takes into account cross-sectional dependence indicate one-way causality
from capital intensity to manufacturing value added, two-way causality between
R&D expenditures as a share of GDP and manufacturing value added in the
selected country group. In addition, empirical findings showed that greater
capital intensity and R&D expenditures of GDP, which are the input
variables of industry 4.0 process significantly increase manufacturing value
added, which is the one of the output variables of the process.
References
- Alçın, S.; Endüstri 4.0 ve İnsan Kaynakları, Popüler Yönetim Dergisi, 2016,Sayı 63Balan, Feyza. (2015). Testing the Demographic Economic Paradox for Newly Industrialized Countries A Panel Data Analysis. Economic Insights- Trends and Challanges, 67(2), 1-10 Breusch, T., Pagan, A. (1980). The Lagrange multiplier test and its application to model specifications in econometrics. Rev. Econ. Stud. 47 (1), 239–253.Drath R., Horch Alexander, “Industrie 4.0: Hit or Hype”, IEEE Industrial Electronics Magazine , Cİlt: 8, Sayı: 2, 2014.Dumitrescu, Elena-Ivona and Hurlin, Christophe. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.Ener Meliha, Kiliç Cüneyt, Balan Feyza, Kurt Ünzüle (2017). Entrepreneurship, Political and Financial Stability And Their Impact On Economic Growth: A Panel Data Analysis For Selected EU Countries. 13th International Conference on Knowledge, Economy Management Proceedings Fırat, S., U., Fırat, O., Z.; Sanayi 4.0 Üzerine Karşılaştırmalı Bir İnceleme: Kavramlar, Küresel Gelişmeler ve Türkiye, Toprak İşveren Dergisi, Sayı:114, 2017 .Hadri, K., and Kurozumi, E. (2012). A Simple Panel Stationarity Test in the Presence of Serial Correlation and a Common Factor, Economics Letters, 115, 31–34http://www.endustri40.com/endustri-tarihine-kisa-bir-yolculuk/ (01.03.2018)https://www.i-scoop.eu/industry-4-0/ (01.03.2018)https://www.plex.com/blogs/industry-4-0-advancements-in-manufacturing-technology.html (01.03.2018)Kiliç Cüneyt, Arıca Balan Feyza (2014). Economic Freedom Inflation Rate And Their Impact On Economic Growth A Panel Data Analysis. Romanian Journal of Economic Forecasting, 17(1):160-176. O'Connell, P. (1998), “The Overvaluation of Purchasing Power Parity”, Journal of International Economics, 44, 1-19.Öztürk, E., Koç, K. H.; Endüstri 4.0 ve Mobilya Endüstrisi, 4.Uluslararası Mobilya ve Dekorasyon Kongresi, Düzce / Türkiye, Ekim 2017.Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with multifactor error structure, Econometrica, 74, 967-1012.Pesaran, M.H., (2007), “A simple panel unit root test in the presence of cross section dependence”, Journal of Applied Econometrics, 22, 265-312.PwC, 2016 Global Industry 4.0 Survey, Nisan 2016.Torun Mustafa, Kiliç Cüneyt, Balan Feyza (2017). The Effects of Political Risk and GDP on Oil Product Imports: A Panel Analysis for Selected Oil-Dependent Countries. International Congress of Energy Economy and Security (ENSCON) World Bank, http://data.worldbank.org/indicator, (01.03.2018).
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | March 31, 2018 |
| Published in Issue | Year 2018 |