TY  - JOUR
T1  - Tarımsal Toplam Faktör Verimliliği ve Ekonomik Büyümenin Çevre Kalitesi Üzerindeki Etkisi: Tarımda Başarılı Olan Ülkeler Örneği
TT  - The Impact of Agricultural Total Factor Productivity and Economic Growth on Environmental Quality: The Case of Agriculturally Successful Countries
AU  - Dinçer, Selin
AU  - Akın, Fatih
PY  - 2025
DA  - October
Y2  - 2025
DO  - 10.18016/ksutarimdoga.vi.1661043
JF  - Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi
JO  - KSU J. Agric Nat.
PB  - Kahramanmaraş Sütçü İmam Üniversitesi
WT  - DergiPark
SN  - 2619-9149
SP  - 1531
EP  - 1544
VL  - 28
IS  - 6
LA  - tr
AB  - Tarımsal verimlilik su, toprak, emek, sermaye gibi tarım sektöründe kullanılan kaynakların verimliliğini sağlayarak tarımsal üretimin artmasını desteklemektedir. Ayrıca verimli tarım teknikleri kullanılarak arazi genişlemesi ve ormansızlaşma gibi çevresel sorunların önüne de geçilebilmektedir. Fakat literatür incelendiğinde tarımsal verimliliğin çevre kalitesi üzerindeki etkisi konusunda fikir birliğine varılamadığı görülmektedir. Diğer taraftan ekonomik büyümenin çevre üzerinde meydana getirdiği etkinin incelenmesi oldukça önemlidir. Ülkelerin büyüme ve kalkınma hedefleri doğrultusunda gerçekleştirdiği ekonomik faaliyetler çevre kalitesini etkilemektedir. Bu doğrultuda çalışmada, 1990-2022 döneminde tarımda başarılı olan 12 ülkede (Çin, ABD, Rusya, Fransa, Almanya, Kanada, Avustralya, Hindistan, Brezilya, Endonezya, Arjantin ve Türkiye) Tarımsal Toplam Faktör Verimliliği (T-TFV) ve ekonomik büyümenin çevre kalitesi üzerindeki etkisi Artırılmış Ortalama Grup (AMG) yöntemi ve Dumitrescu & Hurlin nedensellik analizi ile incelenmektedir. Çevre kalitesini temsilen karbon emisyonu değişkeni kullanılmıştır. Bulgular Çin, ABD, Rusya, Fransa, Kanada, Endonezya ve Avustralya’da T-TFV artışının çevre kalitesini artırdığını göstermektedir. Yani, Borlaug hipotezi bu ülkelerde geçerlidir. Hindistan, Brezilya, Arjantin ve Türkiye’de T-TFV artışı çevre kalitesini azaltmaktadır. Yani, Jevons Paradoksu bu ülkelerde geçerlidir. Ayrıca, çalışmada Almanya hariç diğer tüm ülkelerde ekonomik büyüme arttıkça çevre kalitesi azalmaktadır. Yenilenebilir enerji tüketimi Çin, ABD, Brezilya, Avustralya ve Türkiye’de çevre kalitesini artırmaktadır. Dumitrescu & Hurlin nedensellik analizi bulguları ise T-TFV ile karbon emisyonu ve yenilenebilir enerji tüketimi arasında çift yönlü nedenselik ilişkisi olduğunu göstermektedir. Bulgular, T-TFV, ekonomik büyüme ve yenilenebilir enerji tüketiminin çevre kalitesi üzerinde önemli rol oynadığını ortaya koymaktadır.
KW  - Tarımsal Toplam Faktör Verimliliği
KW  - Ekonomik Büyüme
KW  - Karbon Emisyonu
KW  - Tarımda Başarılı Olan Ülkeler
N2  - Agricultural productivity supports the increase in agricultural production by ensuring the efficiency of resources used in the agricultural sector, such as water, soil, labour, and capital. In addition, environmental problems such as land expansion and deforestation can be prevented by using efficient agricultural techniques. However, when the literature is analyzed, it is seen that there is no consensus on the impact of agricultural productivity on environmental quality. On the other hand, it is very important to examine the impact of economic growth on the environment. The economic activities of countries that are in line with their growth and development targets affect environmental quality. In this direction, in this study, in the period 1990-2022, in 12 countries (China, USA, Russia, France, Germany, Canada, Australia, India, Brazil, Indonesia, Argentina, and Türkiye) that are successful in agriculture, The impact of agricultural Total Factor Productivity (T-TFP) and economic growth on environmental quality is analyzed by the Augmented Mean Group (AMG) method and Dumitrescu & Hurlin causality analysis. The carbon emission variable is used to represent environmental quality. The findings show that an increase in T-TFP increases environmental quality in China, the USA, Russia, France, Canada, Indonesia, and Australia; that is, the Borlaug hypothesis is valid in these countries. In India, Brazil, Argentina, and Türkiye, the increase in T-TFP decreases the environmental quality; that is, Jevons' Paradox is valid in these countries. Moreover, in the study, environmental quality decreases as economic growth increases in all countries except Germany. Renewable energy consumption increases environmental quality in China, the USA, Brazil, Australia, and Türkiye. Dumitrescu & Hurlin’s causality analysis findings show that there is a bidirectional causality relationship between T-TFP, carbon emissions, and renewable energy consumption. The findings reveal that T-TFP, economic growth, and renewable energy consumption are important in environmental quality.
CR  - Abrol, I. P. (2000). Agriculture in India. Centre for Advancement of Sustainable Agriculture. http://164.100.161.239/reports/sereport/ser/vision2025/agricul.pdf (Erişim Tarihi: 7 Aralık 2024).
CR  - Agrolearner (2024). 12 Biggest Farming Countries in the World, https://agrolearner.com/biggest-farming-countries-in-the-world/ (Erişim Tarihi: 01 Aralık 2024).
CR  - Ahmed, K. & Long, W. (2012). Environmental Kuznets Curve and Pakistan: An Empirical Analysis. Economics and Finance,1, 4–13. https://doi.org/10.1016/S2212-5671(12)00003-2
CR  - Alcott, B. (2005). Jevons' Paradox. Ecological Economics, 54(1), 9-21. https://doi.org/10.1016/j.ecolecon.2005.03.020
CR  - Alhassan, H. (2021). The Effect of Agricultural Total Factor Productivity on Environmental Degradation in Sub-Saharan Africa. Scientific African, 12, e00740. https://doi.org/10.1016/j.sciaf.2021.e00740
CR  - Anwar, A., Sarwar, S., Amin, W., & Arshed, N. (2019). Agricultural Practices and Quality of Environment: Evidence for Gobal Perspective. Environmental Science and Pollution Research, 26, 15617-15630. https://doi.org/10.1007/s11356-019-04957-x
CR  - Aydınbaş, G. (2024). Tarımsal Verimlilik ile İlişkili Faktörlerin Tespiti: BRICS-T Ülkeleri Örneği. Turkish Journal of Agricultural and Natural Sciences, 11(2), 524-535. https://doi.org/10.30910/turkjans.1401633
CR  - Borlaug, N. (2007). Feeding a Hungry World. Science, 318(5849), 359-359. https://doi.org/10.1126/science.1151062
CR  - Breusch, T. S. & Pagan, A. R. (1980). The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253. https://doi.org/10.2307/2297111
CR  - Burney, J. A., Davis, S. J., & Lobell, D. B. (2010). Greenhouse Gas Mitigation by Agricultural Intensification. Proceedings of the National Academy of Sciences, 107(26), 12052-2057. https://doi.org/10.1073/ pnas.0914216107
CR  - Canadell, J. G., Le Quéré, C., Raupach, M. R., Field, C. B., Buitenhuis, E. T., Ciais, P., Conway, T. J., Gillett, N. P., Haughton, R. A. & Marland, G. (2007). Contributions to Accelerating Atmospheric CO2 Growth from Economic Activity, Carbon Intensity, and Efficiency of Natural Sinks. Proceedings of the National Academy of Sciences, 104(47), 18866-18870. https://doi.org/10.1073/pnas.0702737104
CR  - Ceddia, M. G., Sedlacek, S., Bardsley, N. O., & Gomezy Paloma, S. J. G. E. C. (2013). Sustainable Agricultural Intensification or Jevons Paradox? The Role of Public Governance in Tropical South America. Global Environmental Change, 23(5), 1052-1063. https://doi.org/10.1016/j.gloenvcha.2013.07.005
CR  - Çetin, M., Saygın, S., & Demir, H. (2020). Tarım Sektörünün Çevre Kirliliği Üzerindeki Etkisi: Türkiye Ekonomisi İçin Bir Eşbütünleşme ve Nedensellik Analizi. Tekirdağ Ziraat Fakültesi Dergisi, 17(3), 329-345. https://doi.org/10.33462/jotaf.678764
CR  - Deng, H., Jin, Y., Pray, C., Hu, R., Xia, E., & Meng, H. (2021). Impact of Public Research and Development and Extension on Agricultural Productivity in China from 1990 to 2013. China Economic Review, 70, 101699. https://doi.org/10.1016/j.chieco.2021.101699
CR  - Dumitrescu, E. I. & Hurlin, C. (2012). Testing for Granger Non-Causality in Heterogeneous Panels. Economic Modelling, 29(4), 1450-1460. https://doi.org/10.1016/j.econmod.2012.02.014
CR  - Eberhardt, M. & Bond, S. (2009). Cross-Section Dependence in Nonstationary Panel Models: A Novel Estimator. MPRA Paper No. 17692. https://mpra.ub.uni-muenchen.de/17692/
CR  - Economic Research Service (USDA) (2024). International Agricultural Productivity. https://www.ers.usda.gov/data-products/international-agricultural-productivity (Erişim Tarihi: 01 Aralık 2024).
CR  - Esso, L. J., & Keho, Y. (2016). Energy Consumption, Economic Growth and Carbon Emissions: Cointegration and Causality Evidence from Selected African countries. Energy, 114, 492-497. https://doi.org/10.1016/ j.energy.2016.08.010
CR  - Eştürk, Ö., Aydın, F. F., & Levent, C. (2023). Tarım ve Sanayi Sektörlerinin Çevre Kirliliği Üzerindeki Etkisi: Seçilmiş OECD Üyesi Ülkelerde Ekonometrik Bir Uygulama. Ardahan Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(2), 109-116. https://doi.org/10.58588/aru-jfeas.1379450
CR  - Fuglie, K. (2015). Accounting for Growth in Global Agriculture. Bio-Based and Applied Economics, 4(3), 201-234. https://doi.org/10.13128/BAE-17151
CR  - Gardner, B. L. (2002). American Agriculture in the Twentieth Century: How it Flourished and What it Cost. Harvard University Press. https://www.hup.harvard.edu/books/9780674019898
CR  - Geeksforgeeks (2024). Top 10 Agricultural Producing Countries in the World, https://www.geeksforgeeks.org/ agricultural-producing-countries-in-the-world/ (Erişim Tarihi: 01 Aralık 2024).
CR  - Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica: Journal of the Econometric Society, 37, 424-438. https://doi.org/10.2307/1912791
CR  - Grossman, G.M. & Krueger, A.B. (1991). Environmental Impacts of a North American Free Trade Agreement (No. w3914). National Bureau of Economic Research. https://ideas.repec.org/p/nbr/nberwo/3914.html
CR  - Hofstra, N.& Vermeulen, L.C. (2016). Impacts of Population Growth, Urbanisation and Sanitation Changes on Global Human Cryptosporidium Emissions to Surface Water. Health 219(7), 599-605. 
https://doi.org/10.1016/j.ijheh.2016.06.005
CR  - International Energy Agency. (2024). Renewable Energy Consumption Per Capita (kWh). https://www.iea.org  (Erişim Tarihi: 01 Aralık 2024).
CR  - Jalil, A. & Mahmud, S. F. (2009). Environment Kuznets Curve for CO2 Emissions:A Cointegration Analysis for China, Energy Policy, 37, 5167–5172. https://doi.org/10.1016/j.enpol.2009.07.044
CR  - Jebli, B. M., & Youssef, B. S. (2017). Renewable Energy Consumption and Agriculture: Evidence for Cointegration and Granger Causality for Tunisian Economy. International Journal of Sustainable Development & World Ecology, 24(2), 149-158. https://mpra.ub.uni-muenchen.de/68018/
CR  - Jethva, H., Torres, O., Field, R. D., Lyapustin, A., Gautam, R., & Kayetha, V. (2019). Connecting Crop Productivity, Residue Fires, and Air Quality over Nrthern India. Scientific Reports, 9(1), 16594. 
https://doi.org/10.1038/s41598-019-52799-x
CR  - Karaer, F., & Gürlük, S. (2003). Gelişmekte Olan Ülkelerde Tarım-Çevre-Ekonomi Etkileşimi. Doğuş Üniversitesi Dergisi, 4(2), 197-206. https://dergipark.org.tr/tr/pub/doujournal/issue/66649/1042855
CR  - Khan, A. N., Ghauri, B. M., Jilani, R., & Rahman, S. (2011). Climate Change: Emissions and Sinks of Greenhouse Gases in Pakistan. Pakistan Space and Upper Atmosphere Research Commission (SUPARCO), 293, 146-159. https://pecongress.org.pk/wp-content/uploads/2024/06/11-Climate-Change-Emissions-and-Sinks-of-Greenhouse-Gases-in-P.pdf
CR  - Kılavuz, E., & Erdem, İ. (2019). Dünyada Tarım 4.0 Uygulamaları ve Türk Tarımının Dönüşümü. Social Sciences, 14(4), 133-157. http://dx.doi.org/10.12739/NWSA.2019.14.4.3C0189
CR  - Kukal, M. S., & Irmak, S. (2020). Impact of Irrigation on Interannual Variability in United States Agricultural Productivity. Agricultural Water Management, 234, 106141. https://doi.org/10.1016/j.agwat.2020.106141
CR  - Lobell, D. B., Baldos, U. L. C., & Hertel, T. W. (2013). Climate Adaptation as Mitigation: The Case of Agricultural Investments. Environmental Research Letters, 8(1), 015012. http://iopscience.iop.org/1748-9326/8/1/015012
CR  - Ma, L., Zhang, Y., Chen, S., Yu, L., & Zhu, Y. (2022). Environmental Effects and Their Causes of Agricultural Production: Evidence from the Farming Regions of China. Ecological Indicators, 144, 109549. https://doi.org/10.1016/j.ecolind.2022.109549
CR  - Nin-Pratt, A., Yu, B., & Fan, S. (2010). Comparisons of Agricultural Productivity Growth in China and India. Journal of Productivity Analysis, 33, 209-223. https://doi.org/10.1007/s11123-009-0156-4
CR  - Osadume, R., & University, E. O. (2021). Impact of Economic Growth on Carbon Emissions in Selected West African Countries, 1980–2019. Journal of Money and Business, 1(1), 8-23. https://doi.org/10.1108/JMB-03-2021-0002
CR  - Özbay, Ü. (2023). Türkiye’de Sanayileşme, CO2 Emisyonu, Ekonomik Büyüme ve Tarımsal Üretim İlişkisi: Ampirik Bir Uygulama. Tarım Ekonomisi Dergisi, 29(2), 79-91. https://doi.org/10.24181/tarekoder.1311715
CR  - Özkurt, İ. C. (2024). İklim Değişikliğinin Türkiye’de Tarımsal Üretime Etkisi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(Ek Sayı 1 (Suppl 1), 263-275. https://doi.org/10.18016/ ksutarimdoga.vi.1394627
CR  - Pesaran, M. H. & Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
CR  - Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Faculty of Economics, 1240(1),13-49. https://doi.org/10.17863/CAM.5113
CR  - Pesaran, M. H. (2007). A Simple Panel Unit Root Test in the Presence of Cross-Section Dependence. Journal of Applied Econometrics, 22, 265-312. https://doi.org/10.1002/jae.951
CR  - Pesaran, M. H., Ullah, A. & Yamagata, T. (2008). A Bias-Adjusted LM Test of Error Cross Section Independence. The Econometrics Journal, 11(1), 105-127. https://doi.org/10.1111/j.1368-423X.2007.00227.x
CR  - Rada, N., Liefert, W., & Liefert, O. (2020). Evaluating Agricultural Productivity and Policy in Russia. Journal of Agricultural Economics, 71(1), 96-117. https://doi.org/10.1111/1477-9552.12338
CR  - Reese, S., & Westerlund, J. (2016). Panicca: Panic on Cross-Section Averages. Journal of Applied Econometrics, 31(6), 961-981. https://www.jstor.org/stable/26609658
CR  - Rudel, T. K., Schneider, L., Uriarte, M., Turner, B. L., DeFries, R., Lawrence, D., Geoghegan, J., Hecht, S. Ickowitz, A., Lambin, E. F., Birkenholtz, T., Baptista, S. & Grau, R. (2009). Agricultural Intensification and Changes in Cultivated Areas 1970–2005. Proceedings of the National Academy of Sciences, 106(49), 20675-20680. https://doi.org/10.1073/pnas.0812540106
CR  - Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002). Agricultural Sustainability and Intensive Production Oractices. Nature, 418(6898), 671-677. https://doi.org/10.1038/nature01014
CR  - Turgut, E., & Gökten, Y. S. (2023). Jevons Paradoksu Hala Geçerli mi? Yükselen Piyasa Ekonomileri Örneği. Verimlilik Dergisi, 57(1), 85-102. https://doi.org/10.51551/verimlilik.1068682
CR  - Waheed, R., Chang, D., Sarwar, S., & Chen, W. (2018). Forest, Agriculture, Renewable Energy, and CO2 Emission. Journal of Cleaner Production, 172, 4231-4238. https://doi.org/10.1016/j.jclepro.2017.10.287
CR  - Wang, S. L., Heisey, P., Schimmelpfennig, D., & Ball, E. (2015). US Agricultural Productivity Growth: The Past, Challenges, and the Future. Amber Waves: The Economics of Food, Farming. Natural Resources, and Rural America,8,1-15. 
https://www.researchgate.net/publication/283054405_US_Agricultural_Productivity_Growth_the_Past_Challenges_and_the_Future
CR  - Westerlund, J. & Edgerton, D. L. (2007). A Panel Bootstrap Cointegration Test. Economics Letters, 97(3), 185-190. https://doi.org/10.1016/j.econlet.2007.03.003
CR  - World Bank (2024). CO2 Emissions (Metric Tons Per Capita). https://data.worldbank.org (Erişim Tarihi: 01 Aralık 2024).
CR  - World Bank. (2024). Gross Domestic Product Per Capita (Constant 2015 US$). https://data.worldbank.org  (Erişim Tarihi: 01 Aralık 2024).
CR  - Xu, J., Wang, Y., Zhao, X., Etuah, S., Liu, Z., & Zhu, H. (2023). Can Agricultural Trade Improve Total Factor Productivity? Empirical Evidence from G20 Countries. Frontiers in Sustainable Food Systems, 7, 1100038. https://doi.org/10.3389/fsufs.2023.1100038
CR  - Yu, Z., Lin, Q., & Huang, C. (2022). Re-measurement of Agriculture Green Total Factor Productivity in China from a Carbon Sink Perspective. Agriculture, 12(12), 2025. https://doi.org/10.3390/agriculture12122025
UR  - https://doi.org/10.18016/ksutarimdoga.vi.1661043
L1  - https://dergipark.org.tr/tr/download/article-file/4705042
ER  -