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Individual and Collective Approaches of Students who are Members of Social Clubs at University to Mitigate Climate Change Impacts

Year 2024, Issue: 17, 25 - 41

Musab Süleyman Köçer

https://doi.org/10.21733/ibad.1466730

Abstract

İklim değişikliği, günümüzün en önemli küresel sorunlarından biri olarak karşımıza çıkmaktadır. Bu sorunun çözümü için bireysel ve toplumsal düzeyde farkındalık ve sorumluluk alma ihtiyacı oldukça fazladır. Sosyal kulüp üyeleri üzerinde gerçekleştirilen bu araştırmanın amacı, iklim değişikliğinin önlenmesine yönelik umut düzeylerinin sosyodemografik özellikler, kulüp faktörleri ve sorumluluk alma değişkenine göre incelenmesidir. Araştırmada nicel araştırma yöntemlerinden ilişkisel tarama modeli kullanılmıştır. Araştırma verileri 2023-2024 eğitim-öğretim döneminde Ardahan Üniversitesi’nde öğrenim gören öğrencilerden anket aracılığıyla toplanmıştır. Elde edilen veriler SPSS 27 ve AMOS 24 istatistik paket programları kullanılarak analiz edilmiştir. Bu kapsamda verilerin normal dağılım göstermesi sebebiyle Bağımsız Örneklemler T Testi, Tek Yönlü Varyans Analizi (ANOVA), Pearson Korelasyon ve Basit Doğrusal Regresyon Analizi gibi parametrik testler uygulanmıştır. Analiz sonuçları incelendiğinde örneklem grubunun ölçek puan ortalamalarının yüksek olduğu; öğrenim düzeyleri ve kulüp türlerine göre umut düzeyleri açısından gruplar arası anlamlı farklılığın olduğu; sorumluluk alma değişkeninin ise umut düzeyinde %26,7’lik bir etkiye sahip olduğu görülmektedir. Böylelikle sorumluluk düzeyindeki bir birimlik artış, iklim değişikliğinin önlenmesine yönelik umut düzeyinde 0,301 birimlik bir artışa sebep olmaktadır. Bu bağlamda, kulüp üyelerinin sorumluluk bilincini artırmaya yönelik teşvik edici çalışmalar yapılarak iklim değişikliğini önleme konusundaki yaklaşımları güçlendirilebilir.

Keywords

İklim iklim değişikliği öğrenci kulübü umut sorumluluk

Ethical Statement

Araştırmanın gerçekleştirilebilmesi için Ardahan Üniversitesi Bilimsel Araştırma ve Yayın Etik Kurulu’ndan 22.01.2024 tarihinde etik kurul izni alınmıştır (Sayı: E-67796128-819-2400002344).

References

  • Akerlof, K., Maibach, E. W., Fitzgerald, D., Cedeno, A. Y., & Neuman, A. (2013). Do people "personally experience" global warmingand if so howand does it matter? Global Environmental Change, 23(1), 81-91. https://doi.org/10.1016/j.gloenvcha.2012.07.006
  • Ali, A., & Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management, 16(2), 183-194. https://doi.org/10.1016/j.crm.2016.12.001
  • Ardahan Üniversitesi. (2023). Öğrenci kulüp ve toplulukları kuruluş ve işleyiş yönergesi. Ardahan Üniversitesi Sağlık Kültür Spor Daire Başkanlığı.
  • Aslan, R., Köçer, M. S., & Mızrak, S. (2023). Worry about climate change of outdoor recreation participants: A case study in Türkiye. Weather, Climate, and Society, 15(3), 801–812. https://doi.org/10.1175/WCAS-D-23-0039.1
  • Besnili Memiş, O. (2019). Kadınların iklim değişikliği ile ilgili algılarının belirlenmesi. Journal of Academic Value Studies, 5(4). https://ideas.repec.org/a/atj/journl/v5y2019i4p700-718.html
  • Brügger, A., Morton, T. A., & Dessai, S. (2015). Hand in hand: Public endorsement of climate change mitigation and adaptation. PloS One, 10(4), e0124843. https://doi.org/10.1371/journal.pone.0124843
  • Bury, S. M., Wenzel, M., & Woodyatt, L. (2020). Against the odds: Hope as an antecedent of support for climate change action. The British Journal of Social Psychology, 59(2), 289-310. https://doi.org/10.1111/bjso.12343
  • Büyüköztürk, Ş. (2014). Veri analizi el kitabı. Pegem Publishing.
  • Chen, M.F. (2020). Moral extension of the protection motivation theory model to predict climate change mitigation behavioral intentions in Taiwan. Environmental Science and Pollution Research International, 27(12), 13714-13725. https://doi.org/10.1007/s11356-020-07963-6
  • Clayton, S., & Karazsia, B. T. (2020). Development and validation of a measure of climate change anxiety. Journal of Environmental Psychology, 69(2), 101434. https://doi.org/10.1016/j.jenvp.2020.101434
  • Creswell, J. W. (2017). Research design qualitative, quantitative, and mixed method approaches. Sage Publications.
  • Dunlap, R. E., van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). New trends in measuring environmental attitudes: Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues, 56(3), 425-442. https://doi.org/10.1111/0022-4537.00176
  • Ettinger, J., Walton, P., Painter, J., & DiBlasi, T. (2021). Climate of hope or doom and gloom? Testing the climate change hope vs. fear communications debate through online videos. Climatic Change, 164(1-2), 8. https://doi.org/10.1007/s10584-021-02975-8
  • Geiger, N., Swim, J. K., Gasper, K., Fraser, J., & Flinner, K. (2021). How do I feel when I think about taking action? Hope and boredom, not anxiety and helplessness, predict intentions to take climate action. Journal of Environmental Psychology, 76(2), 101649. https://doi.org/10.1016/j.jenvp.2021.101649
  • George, D. ve Mallery, M. (2010). SPSS for windows step by step: a simple guide and reference, (10a ed.). Pearson. Gezer, M., & İlhan, M. (2020). İklim değişikliğinin önlenmesine yönelik umut ölçeği: Türkçeye uyarlama çalışması. Mediterranean Journal of Educational Research, 14(34), 337–356. https://doi.org/10.29329/mjer.2020.322.16
  • Gürbüz, S., & Şahin, F. (2014). Sosyal bilimlerde araştırma yöntemleri: felsefe, yöntem, analiz (2nd ed.). Seçkin Publishing. Hooper, D., Coughlan, J. & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53 –60.
  • Howe, D., Brandon, M., Hinings, D., & Schofield, G. (2012). Attachment theory, child maltreatment and family support: A practice and assessment model. Macmillan Press.https://www.torrossa.com/gs/resourceproxy?an=5017614&publisher=fz7200#page=92
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1–55. IPCC (2022). Mediterranean region. Cambridge, UK and New York, USA. https://doi.org/10.1017/9781009325844.021
  • IPCC (2023). Synthesis report. Contribution of working groups I, II and III to the sixth assessment report of the Intergovernmental Panel on Climate Change: Climate Change 2023. Switzerland, Geneva. https://doi.org/10.59327/IPCC/AR6-9789291691647
  • Kaddo, J. R. (2016). Climate change: Causes, effects and solutions. A with Honors Projects. Spring Publishing. http://spark.parkland.edu/ah/164
  • Karasar, N. (2014). Bilimsel araştırma yöntemleri (26. bs.). Nobel Publishing.
  • Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
  • Köçer, M. S., & Aslan, R. (2023). Gönüllü arama kurtarma ekiplerinin orman yangınlarındaki tahliye deneyimleri: 2021 Akdeniz orman yangınları. Afet ve Risk Dergisi, 6(3), 829–851. https://doi.org/10.35341/afet.1236021
  • Kurnaz, M. L. (2023). İklim değişikliği ve uyum süreçlerinde Türkiye. Resilience, 7(1), 199–208. https://doi.org/10.32569/resilience.1312684
  • Li, C., & Monroe, M. C. (2018). Development and validation of the climate change hope scale for high school students. Environment and Behavior, 50(4), 454-479. https://doi.org/10.1177/0013916517708325
  • Mikhaylov, A., Moiseev, N., Aleshin, K., & Burkhardt, T. (2020). Global climate change and greenhouse effect. Entrepreneurship and Sustainability Issues, 7(4), 2897-2913. https://doi.org/10.9770/jesi.2020.7.4(21)
  • Ngo, C. C., Poortvliet, P. M., & Feindt, P. H. (2020). Drivers of flood and climate change risk perceptions and intention to adapt: an explorative survey in coastal and delta Vietnam. Journal of Risk Research, 23(4), 424-446. https://doi.org/10.1080/13669877.2019.1591484
  • O'Connor, R. E., Bard, R. J., & Fisher, A. (1999). Risk Perceptions, general environmental belief sand willingness to address climate change. Risk Analysis, 19(3), 461-471. https://doi.org/10.1111/j.1539-6924.1999.tb00421.x
  • Onwuegbuzie, A. J., & Collins, K. M. (2007). A typology of mixed methods sampling designs in social science research. Qualitative report, 12(2), 281-316. http://www.nova.edu/ssss/QR/QR12- 2/onwuegbuzie2.pdf
  • Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi (5. ed.). Kaan Kitabevi.
  • Pagano, M., Gauvreau, K., & Mattie, H. (2022). Principles of biostatistics (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9780429340512
  • Pituch, K. A. ve Stevens, J. P. (2016). Applied multivariate statistics for the social sciences, (6. ed.). Routledge. http://spark.parkland.edu/ah/164
  • Rigdon, E. E. (1996). CFI versus RMSEA: A compari- son of two fit indexes for structural equation mo- deling. structural equation modeling: A Multidisciplinary Journal, 3(4), 369–379.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online, 8(2), 23-74.
  • Schipper, E. L. F. (2007). Climate change adaptation and development: Exploring the linkages. Tyndall centre for climate change research working paper, 107, 13.
  • Smith, N., & Leiserowitz, A. (2012). The rise of global warming skepticism: Exploring affective image associations in the United States over time. Risk Analysis: An Official Publication of the Society for Risk Analysis, 32(6), 1021-1032. https://doi.org/10.1111/j.1539-6924.2012.01801.x
  • Stevens, J. P. (2009). Applied multivariate statistics for the social sciences, (5. ed.). Routledge.
  • Sundblad, E.-L., Biel, A., & Gärling, T. (2007). Cognitive and affective risk judgments related to climate change. Journal of Environmental Psychology, 27(2), 97-106. https://doi.org/10.1016/j.jenvp.2007.01.003
  • Thompson, B. (2004). Exploratory and confirmatory factor analysis understanding concepts and applications. APA.
  • Turan, İ., Duysak, A., & Kuğuoğlu, İ. H. (2017). Üniversite öğrenci topluluklarının toplumsallaşmada yeri ve önemi. Recep Tayyip Erdoğan Üniversitesi Sosyal Bilimler Dergisi, 3(6), 203-217.
  • UN (1992). United Nations Framework Convention on Climate Change. https://unfccc.int/resource/docs/convkp/conveng.pdf
  • Van der Linden, S. (2015). The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model. Journal of Environmental Psychology, 41(1), 112-124. https://doi.org/10.1016/j.jenvp.2014.11.012
  • Van der Linden, S. (2017). Determinants and measurement of climate change risk perception, worry, and concern. The Oxford Encyclopedia of Climate Change Communication. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228620.013.318
  • Van Valkengoed, A. M., Steg, L., & Perlaviciute, G. (2021). Development and validation of a climate change perceptions scale. Journal of Environmental Psychology, 76(3), 101652. https://doi.org/10.1016/j.jenvp.2021.101652
  • WMO (2023). The United Nations Terminology Database.
  • Wolf, J., & Moser, S. C. (2011). Individual understandings, perceptionsand engagement with climate change: insights from in-depth studies across the world. WIREs Climate Change, 2(4), 547-569. https://doi.org/10.1002/wcc.120
  • Wolf, J., Brown, K., & Conway, D. (2009). Ecological citizenship and climate change: perceptions and practice. Environmental Politics, 18(4), 503-521. https://doi.org/10.1080/09644010903007377
  • World Bank (2023). Türkiye country climate and development report. https://www.csgb.gov.tr/media/92451/turkiye-ccdr-full-report.pdf

Individual and Collective Approaches of Students who are Members of Social Clubs at University to Mitigate Climate Change Impacts

Year 2024, Issue: 17, 25 - 41

Musab Süleyman Köçer

https://doi.org/10.21733/ibad.1466730

Abstract

Climate change is one of the most important global problems of our time. For the solution of this problem, the need for awareness and taking responsibility at individual and social level is quite high. The aim of this study, which was conducted on social club members, is to examine the level of hope for the prevention of climate change according to sociodemographic characteristics, club factors and taking responsibility variable. Relational survey model, one of the quantitative research methods, was used in the study. The research data were collected from the students studying at Ardahan University in the 2023-2024 academic year through a questionnaire. The data obtained were analyzed using SPSS 27 and AMOS 24 statistical package programs. In this context, parametric tests such as Independent Samples T Test, One- Way Analysis of Variance (ANOVA), Pearson Correlation and Simple Linear Regression Analysis were applied due to the normal distribution of the data. When the results of the analysis are examined, it is seen that the mean scale scores of the sample group are high; there is a significant difference between the groups in terms of hope levels according to their education levels and club types; and the variable of taking responsibility has an effect of 26.7% on the level of hope. Thus, a one-unit increase in the level of responsibility causes a 0.301-unit increase in the level of hope for preventing climate change. In this context, club members' approaches to preventing climate change can be strengthened by conducting incentive studies to increase their sense of responsibility.

Keywords

Climate climate change student club hope

References

  • Akerlof, K., Maibach, E. W., Fitzgerald, D., Cedeno, A. Y., & Neuman, A. (2013). Do people "personally experience" global warmingand if so howand does it matter? Global Environmental Change, 23(1), 81-91. https://doi.org/10.1016/j.gloenvcha.2012.07.006
  • Ali, A., & Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management, 16(2), 183-194. https://doi.org/10.1016/j.crm.2016.12.001
  • Ardahan Üniversitesi. (2023). Öğrenci kulüp ve toplulukları kuruluş ve işleyiş yönergesi. Ardahan Üniversitesi Sağlık Kültür Spor Daire Başkanlığı.
  • Aslan, R., Köçer, M. S., & Mızrak, S. (2023). Worry about climate change of outdoor recreation participants: A case study in Türkiye. Weather, Climate, and Society, 15(3), 801–812. https://doi.org/10.1175/WCAS-D-23-0039.1
  • Besnili Memiş, O. (2019). Kadınların iklim değişikliği ile ilgili algılarının belirlenmesi. Journal of Academic Value Studies, 5(4). https://ideas.repec.org/a/atj/journl/v5y2019i4p700-718.html
  • Brügger, A., Morton, T. A., & Dessai, S. (2015). Hand in hand: Public endorsement of climate change mitigation and adaptation. PloS One, 10(4), e0124843. https://doi.org/10.1371/journal.pone.0124843
  • Bury, S. M., Wenzel, M., & Woodyatt, L. (2020). Against the odds: Hope as an antecedent of support for climate change action. The British Journal of Social Psychology, 59(2), 289-310. https://doi.org/10.1111/bjso.12343
  • Büyüköztürk, Ş. (2014). Veri analizi el kitabı. Pegem Publishing.
  • Chen, M.F. (2020). Moral extension of the protection motivation theory model to predict climate change mitigation behavioral intentions in Taiwan. Environmental Science and Pollution Research International, 27(12), 13714-13725. https://doi.org/10.1007/s11356-020-07963-6
  • Clayton, S., & Karazsia, B. T. (2020). Development and validation of a measure of climate change anxiety. Journal of Environmental Psychology, 69(2), 101434. https://doi.org/10.1016/j.jenvp.2020.101434
  • Creswell, J. W. (2017). Research design qualitative, quantitative, and mixed method approaches. Sage Publications.
  • Dunlap, R. E., van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). New trends in measuring environmental attitudes: Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues, 56(3), 425-442. https://doi.org/10.1111/0022-4537.00176
  • Ettinger, J., Walton, P., Painter, J., & DiBlasi, T. (2021). Climate of hope or doom and gloom? Testing the climate change hope vs. fear communications debate through online videos. Climatic Change, 164(1-2), 8. https://doi.org/10.1007/s10584-021-02975-8
  • Geiger, N., Swim, J. K., Gasper, K., Fraser, J., & Flinner, K. (2021). How do I feel when I think about taking action? Hope and boredom, not anxiety and helplessness, predict intentions to take climate action. Journal of Environmental Psychology, 76(2), 101649. https://doi.org/10.1016/j.jenvp.2021.101649
  • George, D. ve Mallery, M. (2010). SPSS for windows step by step: a simple guide and reference, (10a ed.). Pearson. Gezer, M., & İlhan, M. (2020). İklim değişikliğinin önlenmesine yönelik umut ölçeği: Türkçeye uyarlama çalışması. Mediterranean Journal of Educational Research, 14(34), 337–356. https://doi.org/10.29329/mjer.2020.322.16
  • Gürbüz, S., & Şahin, F. (2014). Sosyal bilimlerde araştırma yöntemleri: felsefe, yöntem, analiz (2nd ed.). Seçkin Publishing. Hooper, D., Coughlan, J. & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53 –60.
  • Howe, D., Brandon, M., Hinings, D., & Schofield, G. (2012). Attachment theory, child maltreatment and family support: A practice and assessment model. Macmillan Press.https://www.torrossa.com/gs/resourceproxy?an=5017614&publisher=fz7200#page=92
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1–55. IPCC (2022). Mediterranean region. Cambridge, UK and New York, USA. https://doi.org/10.1017/9781009325844.021
  • IPCC (2023). Synthesis report. Contribution of working groups I, II and III to the sixth assessment report of the Intergovernmental Panel on Climate Change: Climate Change 2023. Switzerland, Geneva. https://doi.org/10.59327/IPCC/AR6-9789291691647
  • Kaddo, J. R. (2016). Climate change: Causes, effects and solutions. A with Honors Projects. Spring Publishing. http://spark.parkland.edu/ah/164
  • Karasar, N. (2014). Bilimsel araştırma yöntemleri (26. bs.). Nobel Publishing.
  • Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
  • Köçer, M. S., & Aslan, R. (2023). Gönüllü arama kurtarma ekiplerinin orman yangınlarındaki tahliye deneyimleri: 2021 Akdeniz orman yangınları. Afet ve Risk Dergisi, 6(3), 829–851. https://doi.org/10.35341/afet.1236021
  • Kurnaz, M. L. (2023). İklim değişikliği ve uyum süreçlerinde Türkiye. Resilience, 7(1), 199–208. https://doi.org/10.32569/resilience.1312684
  • Li, C., & Monroe, M. C. (2018). Development and validation of the climate change hope scale for high school students. Environment and Behavior, 50(4), 454-479. https://doi.org/10.1177/0013916517708325
  • Mikhaylov, A., Moiseev, N., Aleshin, K., & Burkhardt, T. (2020). Global climate change and greenhouse effect. Entrepreneurship and Sustainability Issues, 7(4), 2897-2913. https://doi.org/10.9770/jesi.2020.7.4(21)
  • Ngo, C. C., Poortvliet, P. M., & Feindt, P. H. (2020). Drivers of flood and climate change risk perceptions and intention to adapt: an explorative survey in coastal and delta Vietnam. Journal of Risk Research, 23(4), 424-446. https://doi.org/10.1080/13669877.2019.1591484
  • O'Connor, R. E., Bard, R. J., & Fisher, A. (1999). Risk Perceptions, general environmental belief sand willingness to address climate change. Risk Analysis, 19(3), 461-471. https://doi.org/10.1111/j.1539-6924.1999.tb00421.x
  • Onwuegbuzie, A. J., & Collins, K. M. (2007). A typology of mixed methods sampling designs in social science research. Qualitative report, 12(2), 281-316. http://www.nova.edu/ssss/QR/QR12- 2/onwuegbuzie2.pdf
  • Özdamar, K. (2004). Paket programlar ile istatistiksel veri analizi (5. ed.). Kaan Kitabevi.
  • Pagano, M., Gauvreau, K., & Mattie, H. (2022). Principles of biostatistics (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9780429340512
  • Pituch, K. A. ve Stevens, J. P. (2016). Applied multivariate statistics for the social sciences, (6. ed.). Routledge. http://spark.parkland.edu/ah/164
  • Rigdon, E. E. (1996). CFI versus RMSEA: A compari- son of two fit indexes for structural equation mo- deling. structural equation modeling: A Multidisciplinary Journal, 3(4), 369–379.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online, 8(2), 23-74.
  • Schipper, E. L. F. (2007). Climate change adaptation and development: Exploring the linkages. Tyndall centre for climate change research working paper, 107, 13.
  • Smith, N., & Leiserowitz, A. (2012). The rise of global warming skepticism: Exploring affective image associations in the United States over time. Risk Analysis: An Official Publication of the Society for Risk Analysis, 32(6), 1021-1032. https://doi.org/10.1111/j.1539-6924.2012.01801.x
  • Stevens, J. P. (2009). Applied multivariate statistics for the social sciences, (5. ed.). Routledge.
  • Sundblad, E.-L., Biel, A., & Gärling, T. (2007). Cognitive and affective risk judgments related to climate change. Journal of Environmental Psychology, 27(2), 97-106. https://doi.org/10.1016/j.jenvp.2007.01.003
  • Thompson, B. (2004). Exploratory and confirmatory factor analysis understanding concepts and applications. APA.
  • Turan, İ., Duysak, A., & Kuğuoğlu, İ. H. (2017). Üniversite öğrenci topluluklarının toplumsallaşmada yeri ve önemi. Recep Tayyip Erdoğan Üniversitesi Sosyal Bilimler Dergisi, 3(6), 203-217.
  • UN (1992). United Nations Framework Convention on Climate Change. https://unfccc.int/resource/docs/convkp/conveng.pdf
  • Van der Linden, S. (2015). The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model. Journal of Environmental Psychology, 41(1), 112-124. https://doi.org/10.1016/j.jenvp.2014.11.012
  • Van der Linden, S. (2017). Determinants and measurement of climate change risk perception, worry, and concern. The Oxford Encyclopedia of Climate Change Communication. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228620.013.318
  • Van Valkengoed, A. M., Steg, L., & Perlaviciute, G. (2021). Development and validation of a climate change perceptions scale. Journal of Environmental Psychology, 76(3), 101652. https://doi.org/10.1016/j.jenvp.2021.101652
  • WMO (2023). The United Nations Terminology Database.
  • Wolf, J., & Moser, S. C. (2011). Individual understandings, perceptionsand engagement with climate change: insights from in-depth studies across the world. WIREs Climate Change, 2(4), 547-569. https://doi.org/10.1002/wcc.120
  • Wolf, J., Brown, K., & Conway, D. (2009). Ecological citizenship and climate change: perceptions and practice. Environmental Politics, 18(4), 503-521. https://doi.org/10.1080/09644010903007377
  • World Bank (2023). Türkiye country climate and development report. https://www.csgb.gov.tr/media/92451/turkiye-ccdr-full-report.pdf
There are 48 citations in total.

Details

Primary Language English
Subjects Environmental Sociology
Journal Section Original Articles
Authors

Musab Süleyman Köçer 0000-0001-9286-5519

Early Pub Date May 19, 2024
Publication Date
Submission Date April 8, 2024
Acceptance Date May 6, 2024
Published in Issue Year 2024 Issue: 17

Cite

APA Köçer, M. S. (2024). Individual and Collective Approaches of Students who are Members of Social Clubs at University to Mitigate Climate Change Impacts. IBAD Sosyal Bilimler Dergisi(17), 25-41. https://doi.org/10.21733/ibad.1466730
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