Time-use emissions in Türkiye: An exploration by employment status and gender
Year 2025,
Volume: 52 Issue: 1, 153 - 179, 30.06.2025
Betül Öztürk Gündoğdu
,
Eren Gürer
Abstract
We combine EXIOBASE3, Household Budget Surveys, and Time-Use Surveys to examine time-use emissions in Türkiye. Our main finding is that essential personal time activities—particularly basic eating and drinking—account for a much larger share of emissions in Türkiye than in wealthier economies, even though they occupy a comparable share of daily time, highlighting unique challenges and policy areas for emission reduction in a developing country context. We also identify other key time-use activities driving emissions across employment and gender groups. Policy implications are discussed.
Ethical Statement
Not applicable.
Supporting Institution
TÜBİTAK
Thanks
We gratefully acknowledge the support of TÜBİTAK through Project No. 224K475. We would also like to thank Ebru Voyvoda and Onur Yeni as well as the participants of 2nd Efil Conference on Economics and Society for valuable comments and discussions.
References
-
References
AALL, C. (2011), “Energy use and leisure consumption in Norway: an analysis and reduction strategy”, Journal of Sustainable Tourism, 19(6), 729-745.
-
ANDERSSON, J. J. (2019), “Carbon taxes and CO2 emissions: Sweden as a case study”, American Economic Journal: Economic Policy, 11(4), 1-30.
-
ANDERSSON, J. J. and ATKINSON, G. (2024), “The Distributional Effects of a Carbon Tax on Gasoline: The Role of Income Inequality”, Working Paper.
-
BEAUCHEMIN, K. A., JANZEN, H. H., LITTLE, S. M., MCALLISTER, T. A. and MCGINN, S. M. (2011), “Mitigation of greenhouse gas emissions from beef production in western Canada–Evaluation using farm-based life cycle assessment”, Animal Feed Science and Technology, 166, 663-677.
-
BRENČIČ, V. and YOUNG, D. (2009), “Time-saving innovations, time allocation, and energy use: Evidence from Canadian households”, Ecological Economics, 68, 2859-2867.
-
COLMER, J., MARTIN, R., MUULS, M. and WAGNER, U. J. (2020), “Does pricing carbon mitigate climate change? Firm-level evidence from the European Union Emission Trading Scheme”, CRC TR 224, Discussion Paper No. 232.
-
DE LAURETIS, S., GHERSI, F. and CAYLA, J. (2017), “Energy consumption and activity patterns: An analysis extended to total time and energy use for French households”, Applied Energy, 206, 634-648.
-
DORBAND, I. I., JAKOB, M., KALKUHL and M., STECKEL, J. C. (2019), “Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis”, World Development, 115, 246-257.
-
DRUCKMAN, A. and JACKSON, T. (2009), “The carbon footprint of UK households 1990–2004: A socio-economically disaggregated, quasi-multi-regional input–output model”, Ecological Economics, 68, 2066-2077.
-
DRUCKMAN, A., BUCK, I., HAYWARD, B. and JACKSON, T. (2012), “Time, gender and carbon: A study of the carbon implications of British adults’ use of time”, Ecological Economics, 84, 153-163.
-
ERDIL, E., ERUYGUR, O. and KASNAKOĞLU, Z. (2006), “Time Use in Rural Areas: A Case Study in Turkey”, ERC Working Papers, Economic Research Center, Middle East Technical University, Working Paper No. 06/02.
-
EUROPEAN ENVIRONMENT AGENCY (EEA) (2021), “Exploring the social challenges of low-carbon energy policies in Europe”, https://www.eea.europa.eu/en/analysis/publications/exploring-the-social-challenges-of (Accessed: 15 April 2025).
-
GEMICIOĞLU, S. and AKKOÇ, U. (2019), “Türkiye’de Boş Zaman Talebi ve Belirleyicileri”, Journal of Economy Culture and Society, 59, 45-62.
-
GIROD, B. and DE HAAN, P. (2009), “GHG reduction potential of changes in consumption patterns and higher quality levels: Evidence from Swiss household consumption survey”, Energy Policy, 37(12), 5650-5661.
-
GÜRER, E., SATIOĞLU B., VOYVODA. E. and YELDAN, A. E. (2024), “Beyond The Quest for A Technological Holy Grail: Patterns of Income Inequality and The Household Carbon Footprint in Türkiye”, New Perspectives on Turkey, forthcoming.
-
GÜRSOY, S., YEĞNIDEMIR, E. and TUNA, O. (2016), “İstanbul Trafik Otoritmi”, [Istanbul Traffic Density]., https://www.beykoz.edu.tr/content/editor/5fdc53e7d127d_otoritimistanbul2016-1.pdf (Accessed: 4 August 2024)
-
ILKKARACAN, I., KIM, K., MASTERSON, T., MEMIŞ, E. and ZACHARIAS, A. (2021), “The impact of investing in social care on employment generation, time-, income-poverty by gender: A macro-micro policy simulation for Turkey”, World Development, 144, 105476.
-
INTERNATIONAL ORGANISATION OF VINE AND WINE (OIV) (n.d.), “Country Statistics”, https://www.oiv.int/what-we-do/country-report?oiv (Accessed: 4 August 2024).
-
IVANOVA, D. and WOOD, R. (2020), “The unequal distribution of household carbon footprints in Europe and its link to sustainability”, Global Sustainability, 3, e18.
-
JALAS, M. (2002), “A time use perspective on the materials intensity of consumption”, Ecological Economics, 41, 109-123.
-
JALAS, M. (2005), “The Everyday Life Context of Increasing Energy Demands: Time Use Survey Data in a Decomposition Analysis”, Journal of Industrial Ecology, 9, 129-145.
-
JALAS, M. and JUNTUNEN, J. K. (2015), “Energy intensive lifestyles: Time use, the activity patterns of consumers, and related energy demands in Finland”, Ecological Economics, 113, 51-59.
-
JIANG, Y., MOTOSE, R. and IHARA, T. (2022), “Estimating the carbon footprint of household activities in Japan from the time-use perspective”, Environmental Science and Pollution Research, 30, 22343-22374.
-
KIZILIRMAK, A. and KÖSE, T. (2019), “Determinants of Leisure Time Use in Turkey”, Gazi İktisat ve İşletme Dergisi, 5(1), 60-72.
-
KONGAR, E. and MEMIŞ, E. (2017), “Gendered Patterns of Time Use over the Life Cycle: Evidence from Turkey”, Levy Economics Institute of Bard College, Working Paper No. 884., http://dx.doi.org/10.2139/ssrn.2924805 (Accessed: 23 April 2025).
-
LLONCH, P., HASKELL, M. J., DEWHURST, R. J. and TURNER, S. P. (2017), “Current available strategies to mitigate greenhouse gas emissions in livestock systems: an animal welfare perspective”, Animal, 11(2), 274-284.
-
MURPHY, P., CROSSON, P., O'BRIEN, D. and SCHULTE, R. P. O. (2013), “The Carbon Navigator: a decision support tool to reduce greenhouse gas emissions from livestock production systems”, Animal, 7(s2), 427-436.
-
MI, Z., ZHENG, J., MENG, J., ZHENG, H., LI, X., COFFMAN, D., WOLTJER, J., WANG, S. and GUAN, D. (2019), “Carbon emissions of cities from a consumption-based perspective”, Applied Energy, 235, 509-518.
-
ÖNEŞ, U., MEMIŞ, E. and KIZILIRMAK, B. (2013), “Poverty and intra-household distribution of work time in Turkey: Analysis and some policy implications”, Women’s Studies International Forum, 41, 55-64.
-
REPUBLIC OF TÜRKİYE MINISTRY OF AGRICULTURE AND FORESTRY AGRICULTURAL ECONOMIC AND POLICY DEVELOPMENT INSTITUTE (TEPGE) (2018), “Durum ve Tahmin, Kırmızı Et” [Situation and Forecast, Red Meat], https://arastirma.tarimorman.gov.tr/tepge/Belgeler/Yay%C4%B1n%20Ar%C5%9Fivi/2017-2022%20Yay%C4%B1n%20Ar%C5%9Fivi/Yay%C4%B1nno302.pdf (Accessed: 4 August 2024).
-
SCHIPPER, L., BARTLETT, S., HAWK, D. and VINE, E. (1989), “Linking Life-Styles and Energy Use: A Matter of Time?”, Annual Review of Environment and Resources, 14, 273-320.
-
SMETSCHKA, B., WIEDENHOFER, D., EGGER, C., HASELSTEINER, E., MORAN, D. and GAUBE, V. (2019), “Time matters: The carbon footprint of everyday activities in Austria”, Ecological Economics, 164, 106357.
-
STADLER, K., WOOD, R., BULAVSKAYA, T., CARL-JOHAN, S., MOANA, S., SARAH, S., USUBIAGA, A., ACOSTA-FERNÁNDEZ, J., KUENEN, J., BRUCKNER, M., GILJUM, S., LUTTER, S., MERCIAI, S., JANNICK, H. S., MICHAELA, C. T., CHRISTOPH, P., THOMAS, K., EISENMENGER, N., KARL-HEINZ, E., ARJAN, K. and ARNOLD, T. (2021), “EXIOBASE 3 (3.8.2) [Data Set]”, Zenodo, https://doi.org/10.5281/zenodo.5589597 (Accessed: 29 March 2024).
-
SOLOMON, S., QIN, D., MANNING, M., MARQUIS, M., AVERYT, K., TIGNOR, M. M. B., MILLER and H. L. J., CHEN, Z. (2007), “Climate change 2007: The physical science basis”, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, http://www.ipcc.ch/report/ar4/wg1/ (Accessed: 29 March 2024).
-
SRI, P., BANERJEE, R. (2023), “Characteristics, temporal trends, and driving factors of household carbon inequality in India”, Sustainable Production and Consumption, 35, 668-683.
-
THEINE, H., HUMER, S., MOSER, M. and SCHNETZER, M. (2022), “Emissions inequality: Disparities in income, expenditure, and the carbon footprint in Austria”, Ecological Economics, 197, 107435.
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT) (2016), “Dış Ticaret İstatistikleri, Aralık 2015”, [Foreign Trade Statistics, December 2015]., https://data.tuik.gov.tr/Bulten/Index?p=Dis-Ticaret-Istatistikleri-Aralik-2015-21797 (Accessed: 4 August 2024)
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT), “Household Budget Survey 2015” [Data Set].
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT), “Time Use Survey Micro Dataset 2014‑2015” [Data Set].
-
WORLD BANK (n.d.), “GDP per capita (current US$)”, https://data.worldbank.org/indicator/NY.GDP.PCAP.CD (Accessed: 4 August 2024).
-
WANG, Q., LIANG, Q., WANG, B. and ZHONG, F. (2016), “Impact of household expenditures on CO2 emissions in China: Income-determined or life-style driven?”, Natural Hazards, 84, 353-379.
-
YU, B., ZHANG, J. and WEI, Y. (2019), “Time use and carbon dioxide emissions accounting: An empirical analysis from China”, Journal of Cleaner Production, 215, 582-599.
Türkiye’de zaman kullanımı kaynaklı emisyonlar: İstihdam durumu ve cinsiyete göre bir inceleme
Year 2025,
Volume: 52 Issue: 1, 153 - 179, 30.06.2025
Betül Öztürk Gündoğdu
,
Eren Gürer
Abstract
Bu çalışmada, EXIOBASE3, Hanehalkı Bütçe Anketleri ve Zaman Kullanım Anketleri birleştirilerek Türkiye’de zaman kullanımı kaynaklı emisyonlar incelenmektedir. Temel bulgumuz, zorunlu kişisel zaman kullanım faaliyetlerinin—özellikle temel yeme ve içme faaliyetlerinin—günlük zamanın benzer bir kısmını kaplamasına rağmen, Türkiye’de daha zengin ülkelere kıyasla emisyonların çok daha büyük bir bölümünü oluşturduğudur. Bu durum, Türkiye gibi gelişmekte olan ülkelerde karbon emisyonlarının azaltılmasına yönelik politikalarda karşılaşılabilecek özgün zorluklara ve müdahale alanlarına dair önemli ipuçları sunmaktadır. Ayrıca, istihdam durumu ve cinsiyet gruplarına göre emisyonları artıran diğer temel zaman kullanım faaliyetleri de belirlenmiştir. Çalışmada ilgili politika önerileri tartışılmaktadır.
References
-
References
AALL, C. (2011), “Energy use and leisure consumption in Norway: an analysis and reduction strategy”, Journal of Sustainable Tourism, 19(6), 729-745.
-
ANDERSSON, J. J. (2019), “Carbon taxes and CO2 emissions: Sweden as a case study”, American Economic Journal: Economic Policy, 11(4), 1-30.
-
ANDERSSON, J. J. and ATKINSON, G. (2024), “The Distributional Effects of a Carbon Tax on Gasoline: The Role of Income Inequality”, Working Paper.
-
BEAUCHEMIN, K. A., JANZEN, H. H., LITTLE, S. M., MCALLISTER, T. A. and MCGINN, S. M. (2011), “Mitigation of greenhouse gas emissions from beef production in western Canada–Evaluation using farm-based life cycle assessment”, Animal Feed Science and Technology, 166, 663-677.
-
BRENČIČ, V. and YOUNG, D. (2009), “Time-saving innovations, time allocation, and energy use: Evidence from Canadian households”, Ecological Economics, 68, 2859-2867.
-
COLMER, J., MARTIN, R., MUULS, M. and WAGNER, U. J. (2020), “Does pricing carbon mitigate climate change? Firm-level evidence from the European Union Emission Trading Scheme”, CRC TR 224, Discussion Paper No. 232.
-
DE LAURETIS, S., GHERSI, F. and CAYLA, J. (2017), “Energy consumption and activity patterns: An analysis extended to total time and energy use for French households”, Applied Energy, 206, 634-648.
-
DORBAND, I. I., JAKOB, M., KALKUHL and M., STECKEL, J. C. (2019), “Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis”, World Development, 115, 246-257.
-
DRUCKMAN, A. and JACKSON, T. (2009), “The carbon footprint of UK households 1990–2004: A socio-economically disaggregated, quasi-multi-regional input–output model”, Ecological Economics, 68, 2066-2077.
-
DRUCKMAN, A., BUCK, I., HAYWARD, B. and JACKSON, T. (2012), “Time, gender and carbon: A study of the carbon implications of British adults’ use of time”, Ecological Economics, 84, 153-163.
-
ERDIL, E., ERUYGUR, O. and KASNAKOĞLU, Z. (2006), “Time Use in Rural Areas: A Case Study in Turkey”, ERC Working Papers, Economic Research Center, Middle East Technical University, Working Paper No. 06/02.
-
EUROPEAN ENVIRONMENT AGENCY (EEA) (2021), “Exploring the social challenges of low-carbon energy policies in Europe”, https://www.eea.europa.eu/en/analysis/publications/exploring-the-social-challenges-of (Accessed: 15 April 2025).
-
GEMICIOĞLU, S. and AKKOÇ, U. (2019), “Türkiye’de Boş Zaman Talebi ve Belirleyicileri”, Journal of Economy Culture and Society, 59, 45-62.
-
GIROD, B. and DE HAAN, P. (2009), “GHG reduction potential of changes in consumption patterns and higher quality levels: Evidence from Swiss household consumption survey”, Energy Policy, 37(12), 5650-5661.
-
GÜRER, E., SATIOĞLU B., VOYVODA. E. and YELDAN, A. E. (2024), “Beyond The Quest for A Technological Holy Grail: Patterns of Income Inequality and The Household Carbon Footprint in Türkiye”, New Perspectives on Turkey, forthcoming.
-
GÜRSOY, S., YEĞNIDEMIR, E. and TUNA, O. (2016), “İstanbul Trafik Otoritmi”, [Istanbul Traffic Density]., https://www.beykoz.edu.tr/content/editor/5fdc53e7d127d_otoritimistanbul2016-1.pdf (Accessed: 4 August 2024)
-
ILKKARACAN, I., KIM, K., MASTERSON, T., MEMIŞ, E. and ZACHARIAS, A. (2021), “The impact of investing in social care on employment generation, time-, income-poverty by gender: A macro-micro policy simulation for Turkey”, World Development, 144, 105476.
-
INTERNATIONAL ORGANISATION OF VINE AND WINE (OIV) (n.d.), “Country Statistics”, https://www.oiv.int/what-we-do/country-report?oiv (Accessed: 4 August 2024).
-
IVANOVA, D. and WOOD, R. (2020), “The unequal distribution of household carbon footprints in Europe and its link to sustainability”, Global Sustainability, 3, e18.
-
JALAS, M. (2002), “A time use perspective on the materials intensity of consumption”, Ecological Economics, 41, 109-123.
-
JALAS, M. (2005), “The Everyday Life Context of Increasing Energy Demands: Time Use Survey Data in a Decomposition Analysis”, Journal of Industrial Ecology, 9, 129-145.
-
JALAS, M. and JUNTUNEN, J. K. (2015), “Energy intensive lifestyles: Time use, the activity patterns of consumers, and related energy demands in Finland”, Ecological Economics, 113, 51-59.
-
JIANG, Y., MOTOSE, R. and IHARA, T. (2022), “Estimating the carbon footprint of household activities in Japan from the time-use perspective”, Environmental Science and Pollution Research, 30, 22343-22374.
-
KIZILIRMAK, A. and KÖSE, T. (2019), “Determinants of Leisure Time Use in Turkey”, Gazi İktisat ve İşletme Dergisi, 5(1), 60-72.
-
KONGAR, E. and MEMIŞ, E. (2017), “Gendered Patterns of Time Use over the Life Cycle: Evidence from Turkey”, Levy Economics Institute of Bard College, Working Paper No. 884., http://dx.doi.org/10.2139/ssrn.2924805 (Accessed: 23 April 2025).
-
LLONCH, P., HASKELL, M. J., DEWHURST, R. J. and TURNER, S. P. (2017), “Current available strategies to mitigate greenhouse gas emissions in livestock systems: an animal welfare perspective”, Animal, 11(2), 274-284.
-
MURPHY, P., CROSSON, P., O'BRIEN, D. and SCHULTE, R. P. O. (2013), “The Carbon Navigator: a decision support tool to reduce greenhouse gas emissions from livestock production systems”, Animal, 7(s2), 427-436.
-
MI, Z., ZHENG, J., MENG, J., ZHENG, H., LI, X., COFFMAN, D., WOLTJER, J., WANG, S. and GUAN, D. (2019), “Carbon emissions of cities from a consumption-based perspective”, Applied Energy, 235, 509-518.
-
ÖNEŞ, U., MEMIŞ, E. and KIZILIRMAK, B. (2013), “Poverty and intra-household distribution of work time in Turkey: Analysis and some policy implications”, Women’s Studies International Forum, 41, 55-64.
-
REPUBLIC OF TÜRKİYE MINISTRY OF AGRICULTURE AND FORESTRY AGRICULTURAL ECONOMIC AND POLICY DEVELOPMENT INSTITUTE (TEPGE) (2018), “Durum ve Tahmin, Kırmızı Et” [Situation and Forecast, Red Meat], https://arastirma.tarimorman.gov.tr/tepge/Belgeler/Yay%C4%B1n%20Ar%C5%9Fivi/2017-2022%20Yay%C4%B1n%20Ar%C5%9Fivi/Yay%C4%B1nno302.pdf (Accessed: 4 August 2024).
-
SCHIPPER, L., BARTLETT, S., HAWK, D. and VINE, E. (1989), “Linking Life-Styles and Energy Use: A Matter of Time?”, Annual Review of Environment and Resources, 14, 273-320.
-
SMETSCHKA, B., WIEDENHOFER, D., EGGER, C., HASELSTEINER, E., MORAN, D. and GAUBE, V. (2019), “Time matters: The carbon footprint of everyday activities in Austria”, Ecological Economics, 164, 106357.
-
STADLER, K., WOOD, R., BULAVSKAYA, T., CARL-JOHAN, S., MOANA, S., SARAH, S., USUBIAGA, A., ACOSTA-FERNÁNDEZ, J., KUENEN, J., BRUCKNER, M., GILJUM, S., LUTTER, S., MERCIAI, S., JANNICK, H. S., MICHAELA, C. T., CHRISTOPH, P., THOMAS, K., EISENMENGER, N., KARL-HEINZ, E., ARJAN, K. and ARNOLD, T. (2021), “EXIOBASE 3 (3.8.2) [Data Set]”, Zenodo, https://doi.org/10.5281/zenodo.5589597 (Accessed: 29 March 2024).
-
SOLOMON, S., QIN, D., MANNING, M., MARQUIS, M., AVERYT, K., TIGNOR, M. M. B., MILLER and H. L. J., CHEN, Z. (2007), “Climate change 2007: The physical science basis”, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, http://www.ipcc.ch/report/ar4/wg1/ (Accessed: 29 March 2024).
-
SRI, P., BANERJEE, R. (2023), “Characteristics, temporal trends, and driving factors of household carbon inequality in India”, Sustainable Production and Consumption, 35, 668-683.
-
THEINE, H., HUMER, S., MOSER, M. and SCHNETZER, M. (2022), “Emissions inequality: Disparities in income, expenditure, and the carbon footprint in Austria”, Ecological Economics, 197, 107435.
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT) (2016), “Dış Ticaret İstatistikleri, Aralık 2015”, [Foreign Trade Statistics, December 2015]., https://data.tuik.gov.tr/Bulten/Index?p=Dis-Ticaret-Istatistikleri-Aralik-2015-21797 (Accessed: 4 August 2024)
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT), “Household Budget Survey 2015” [Data Set].
-
TURKISH STATISTICAL INSTITUTE (TURKSTAT), “Time Use Survey Micro Dataset 2014‑2015” [Data Set].
-
WORLD BANK (n.d.), “GDP per capita (current US$)”, https://data.worldbank.org/indicator/NY.GDP.PCAP.CD (Accessed: 4 August 2024).
-
WANG, Q., LIANG, Q., WANG, B. and ZHONG, F. (2016), “Impact of household expenditures on CO2 emissions in China: Income-determined or life-style driven?”, Natural Hazards, 84, 353-379.
-
YU, B., ZHANG, J. and WEI, Y. (2019), “Time use and carbon dioxide emissions accounting: An empirical analysis from China”, Journal of Cleaner Production, 215, 582-599.