The Effects of High Technology Export and Per Capita Income on Carbon Emission: an Investigation on G20 Countries

• Autorzy: Nazife Ozge Beser , Semanur Soyyigit
• Języki publikacji: EN

Abstrakty

EN

We aim to investigate the impact of per capita income and high technology product export on CO2 emissions in G20 countries (except Russia) from 1992 to 2014 via panel data analysis. We applied random coefficient panel regression method to capture the heterogeneity of the G20 countries. The findings indicate that per capita income has stronger impact on CO2 emission level in developing countries whereas high technology export has stronger impact on CO2 emission level in developed countries. We interpret this result in the way that developing countries increase their CO2 emissions through increased income and consumption whereas developed countries do so via production and export. (original abstract)

Słowa kluczowe

EN

Gas emissions; Gross domestic product (GDP); High-tech

PL

Emisja gazów; Produkt krajowy brutto (PKB); Nowe technologie

• Czasopismo: Business and Economic Horizons
• Rocznik: 2019
• Numer: vol. 15, iss. 4
• Strony: 542--559

Twórcy

autor

Nazife Ozge Beser

• Agri Ibrahim Cecen University, Turkey

autor

Semanur Soyyigit

• Erzincan Binali Yildirim University, Turkey

Bibliografia

• Acaravcı, A., & Ozturk, I. (2010). On the relationship between energy consumption, CO2 emissions and economic growth in Europe. Energy, 35, 5412-5420.
• Akbulut, Bekar, S. (2018). The relationship between CO2 emission and economic growth in Turkey: 1977-2014. UİİİD-IJEAS, 2018, 193-206.
• Alam, M. I. (2003). Manufactured exports, capital good imports, and economic growth: Experience of Mexico and Brazil. International Economic Journal, 17(4), 85-105.
• Apergis, N., & Mehdi, J. (2015). Does renewable energy consumption and health expenditure decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries, MPRA, 1-23.
• Arı, A., & Zeren, F. (2011). CO2 emission and economic growth: A panel data analysis. University of Celal Bayar Bussiness and Economics Faculty Journal, 18(2), 37-47.
• Cetintas, H., Bicil, I. M., & Turkoz, K. (2016). Türkiye'de CO2 salınımları enerji tüketimi ve ekonomik büyüme ilişkisi [CO2 emissions and energy consumption in relation to economic growth in Turkey]. Finans Politik and Ekonomik Yorumlar Cilt: 53(619), 57-67.
• Cınar, S. (2011). Gelir ve CO2 emisyonu ilişkisi: Panel birim kök ve eş bütünleşme testi [Revenue and CO2 emission relationship: Panel unit root and cointegration test]. Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 30(2), 71-83.
• Ergun, S., & Atay Polat, M. (2017). G7 ülkelerinde CO2 emisyonu, elektrik tüketimi ve büyüme ilişkisi. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, April 2017, 5(2).
• Falk, M. (2009). High-tech exports and economic growth in industrialized countries. Applied Economics Letters, 16(10), 1025-1028.
• Gocer, I. (2013). Ar-Ge harcamalarının yüksek teknolojili ürün ihracatı, dış ticaret dengesi ve ekonomik büyüme üzerindeki etkileri. Maliye Dergisi, (165), 215-240.
• Gokmen, Y., & Turen, U. (2013). The determinants of high technology exports volume: A panel data analysis of EU-15 countries. International Journal of Management, Economics and Social Sciences 2(3), 217-232.
• Gulmez, A. (2015). OECD Ülkelerinde ekonomik büyüme ve hava kirliliği ilişkisi: Panel veri analizi [Economic growth and air pollution relationship in OECD countries: Panel data analysis]. Kastamonu Üniversitesi iktisadi ve idari Bilimler Fakültesi Dergisi Eylül 9(3), 18-30.
• Hamit-Haggar, M. (2012). Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective. Energy Economics, 34, 358-364.
• Hsiao, C., & Pesaran, M. H. (2004). Random coefficient panel data models. IZA Discussion Paper, No. 1236.
• Instituto Nacional De Estadistica. https://www.ine.es/en/daco/daco43/notaiat_en.pdf (05.08.2019).
• Jalil, A., & Mahmud, S. F. (2009). Environment Kuznets curve for CO2 emissions: A cointegration analysis for China. Energy Policy, 37(12), 5167-5172.
• Kabaklarlı, E., Duran, M. S., & Telli Ucler, Y. (2018). High-technology exports and economic growth: Panel data analysis for selected OECD countries. Forum Scientiae Oeconomia, 6(2).
• Keskingoz, H., & Karamelikli, H. (2015). Dış ticaret-enerji tüketimi ve ekonomik büyümenin CO2 emisyonu üzerine etkisi [Foreign trade-energy consumption and the effect of economic growth on CO2 emissions]. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9, 7-17.
• Kılavuz, E., & Topcu Altay, B. (2012). Export and economic growth in the case of the manufacturing industry: Panel data analysis of developing countries. International Journal of Economics and Financial Issues. 2(2), 201-215.
• Kızılkaya, O., Sofuoglu, E., & Ay, A. (2017). Yüksek teknolojili ürün ihracatı üzerinde doğrudan yabancı sermaye yatırımları ve dışa açıklığın etkisi: Gelişmekte olan ülkelerde panel veri analizi [Foreign direct investment and the impact of openness on high-tech product exports: Panel data analysis in developing countries]. Doğuş Üniversitesi Dergisi, 18(1), 63-78.
• Liu, S., Xia, X. H., & Chen, X. Y. (2018). Assessing urban carbon emission efficiency in China: Based on the global data envelopment analysis. Energy Procedia 2018, 152, 762-767.
• OECD. (2011). ISIC Rev.3 Technology intensity definition. OECD Directorate for Science, https://www.oecd.org/sti/ind/48350231.pdf (05.08.2019).
• Ozel, H. (2012). Küreselleşme sürecinde ticari ve finansal açıklığın ekonomik büyüme üzerine etkisi: Türkiye örneği [The effects of globalization in trade and financial openness on economic growth: in Turkey]. Yönetim Bilimleri Dergisi, 10(19), 1-30.
• Ozturk, İ., & Acaravcı, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey: Renewable and sustainable. Energy Reviews, 14, 3220-3225.
• Pan, C., Chang, T., & Wolde-Rufael, Y. (2015). Military spending and economic growth in the Middle East countries: Bootstrap panel causality test, Defence and Peace Economics, 26(24), 443-456.
• Pao, H. T., & Tsai, C. M. (2011). Multivariate Granger causality between CO2 emissions, energy consumption, FDI and GDP: Evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy, 36, 685-693.
• Parida, P. C., & Sahoo, P. (2007). Export-led growth in South Asia: A panel cointegration analysis. International Economic Journal, 21(2), 155-175.
• Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CWPE, 0435.
• Poi, B. P. (2003). From the help desk: Swamy's random-coefficient model. The Stata Journal, 3(3), 302-308.
• Saatci, M., & Dumrul, Y. (2011). Çevre kirliliği ve ekonomik büyüme ilişkisi: Çevresel Kuznets eğrisinin Türkiye ekonomisi için yapısal kırılmalı eş-bütünleşme yöntemiyle tahmini [Environmental pollution and economic growth relationship: Environmental Kuznets curve of the estimated co-integration method for structural break with Turkey's economy]. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Ocak-Haziran, 2011(37), 65-86.
• Sancar Ozkok, C., & Atay Polat, M. (2018). CO2 emisyonu, enerji tüketimi ve ekonomik büyüme arasındaki nedensellik ilişkisi: G7 ülkeleri üzerine ekonometrik bir analiz [The causal relationship between CO2 emissions, energy consumption and economic growth: an econometric analysis on G7 countries]. UİİİD-IJEAS, 2018(21), 33-46.
• Sarısoy, S., & Yıldız, F. (2013). Karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Gelişmiş ve gelişmekte olan ülkeler için panel veri analizi [Carbon dioxide emission and economic growth relationship: Panel data analysis for developed and developing countries]. Sosyal Bilimler Metinleri, 2, 1-22.
• Seyoum, B. (2004). The role of factor conditions in high-technology exports: An empirical examination. The Journal of High Technology Management Research, 15, 145-162.
• Shahbaz, M., Lean, H. H., & Shabbir, M. S. (2012). Environmental Kuznets curve hypothesis in Pakistan: Cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16, 2947-2953.
• Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311-323.
• Taylor, M. P., & Sarno, L. (1998). The behavior of real exchange rates during the post-Bretton Woods period. Journal of International Economics, 46, 281-312.
• Telatar, O. M., Deger, M. K., & Doganay, M. A. (2016). Teknoloji yoğunluklu ürün ihracatının ekonomik büyümeye etkisi: Türkiye örneği (1996:Q1-2015:Q3) [The impact on economic growth of the technology intensity exports: in Turkey]. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 30(4), 921-934.
• Topal, M., Ecevit, E. et al. (2010). Çoklu doğrusal bağlantı durumunda ridge ve temel bileşenler regresyon analiz yöntemlerinin kullanımı [The use of ridge and basic components regression analysis in case of multiple linear connections]. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 41(1), 53-57.
• Topallı, N. (2016). CO2 emisyonu ve ekonomik büyüme arasındaki ilişki: Hindistan, Çin, Brezilya ve Güney Afrika için panel veri analizi [Relationship between CO2 emissions and economic growth: Panel data analysis for India, China, Brazil and South Africa]. Çankırı Karatekin Üniversitesi İİBF Dergisi, 6(1), 427-447.
• Ustabaş, A., & O. Ersin (2016). The effects of R&D and high technology exports on economic growth: A comparative cointegration analysis for Turkey and South Korea. International Conference on Eurasian Economies, Kaposvar, 44-55.
• Wang, Y., Zhao, T., Wang, J. A., Guo, F., Kan, X., & Yuan, R. (2019). Spatial analysis on carbon emission abatement capacity at provincial level in China from 1997 to 2014: An empirical study based on SDM Model. Atmos. Pollut. Res. 2019, 10, 97-104.
• Worz, J. (2004). Skill intensity in foreign trade and economic growth. Tinbergen Institute Discussion Paper, 04(059/2), 1-31.
• Yerdelen, Tatoglu, F. (2013). İleri panel veri analizi stata uygulamalı [Advanced panel data analysis stata applied], 2. Baskı, Beta, İstanbul.
• Yıldız, U. (2017). BRICS ülkeleri ve Türkiye'de yüksek teknoloji ihracatı ve ekonomik büyüme ilişkisinin panel veri analizi [BRICS countries and panel data analysis of high-tech exports and economic growth in Turkey relations]. Dumlupınar Üniversitesi Sosyal Bilimler Üniversitesi Dergisi, (53), 26-34.
• Zeng, L., Lu, H., Liu, Y., Zhou, Y., & Hu, H. (2019). Analysis of regional differences and influencing factors on China's carbon emission efficiency in 2005-2015. Energies, 2019, 12, 3081.

Identyfikatory

DOI

10.5281/zenodo.3970504