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Department: search.filters.department.Department of International RelationsSubject: search.filters.subject.Environmental studies

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Now showing 1 - 4 of 4
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    A RoBERTa approach for automated processing of sustainability reports
    (Mdpi, 2022) Tasdemir, Beyza; Yilmaz, Cenk Arda; Demiralp, Goekcan; Atay, Mert; Angin, Pelin; Dikmener, Gokhan; Department of International Relations; Angın, Merih; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; 308500
    There is a strong need and demand from the United Nations, public institutions, and the private sector for classifying government publications, policy briefs, academic literature, and corporate social responsibility reports according to their relevance to the Sustainable Development Goals (SDGs). It is well understood that the SDGs play a major role in the strategic objectives of various entities. However, linking projects and activities to the SDGs has not always been straightforward or possible with existing methodologies. Natural language processing (NLP) techniques offer a new avenue to identify linkages for SDGs from text data. This research examines various machine learning approaches optimized for NLP-based text classification tasks for their success in classifying reports according to their relevance to the SDGs. Extensive experiments have been performed with the recently released Open Source SDG (OSDG) Community Dataset, which contains texts with their related SDG label as validated by community volunteers. Results demonstrate that especially fine-tuned RoBERTa achieves very high performance in the attempted task, which is promising for automated processing of large collections of sustainability reports for detection of relevance to SDGs.
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    Economic development, environmental justice, and pro-environmental behavior
    (Routledge Journals, Taylor & Francis Ltd, 2015) Kentmen-Cin, Cigdem; Department of International Relations; Çarkoğlu, Ali; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; 125588
    Are a country's environmental attitudes linked to its level of economic development? In recent decades, rapid industrialization and the use of cheaper but older production technologies have reduced environmental quality in less developed countries (LDCs). Moreover, these countries have been disproportionally affected by global pollution in that they suffer the effects while having emitted less than industrialized countries. To what extent are people in LDCs ready to make sacrifices to improve environmental conditions? International Social Survey Program 2010 data reveal that people in LDCs are less supportive of international agreements forcing their country to take necessary environmental measures than are citizens in the developed world. Moreover, they are more likely to think that wealthier countries should make more effort to protect the environment, and are less willing to make personal economic sacrifices or change their consumption behavior to accommodate environmental concerns. These results hold even after controlling for post-materialist values, political ideology, personal income, and several other demographic variables.
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    Environmental concerns in Turkey: a comparative perspective
    (I B Tauris & Co Ltd, 2017) Department of International Relations; Çarkoğlu, Ali; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; 125588
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    PublicationOpen Access
    How COVID-19 financially hit urban refugees: evidence from mixed-method research with citizens and Syrian refugees in Turkey
    (Wiley, 2021) Kirişçioğlu, Eda; Department of International Relations; Elçi, Ezgi; Faculty Member; Department of International Relations; College of Administrative Sciences and Economics; Graduate School of Social Sciences and Humanities; 238439; N/A
    Peering through a lens of disasters and inequalities, this article measures the financial impacts of Covid-19 on citizens and refugee communities in Turkey during a relatively early phase of the global pandemic. Our data comes from an online survey (N = 1749) conducted simultaneously with Turkish citizens and Syrian refugees living in Turkey, followed by in-depth online interviews with Syrian refugees. Our findings indicate that the initial Covid-19 measures had a higher financial impact on Syrians than on citizens when controlled for employment, wealth, and education, among other variables. In line with the literature, our research confirms that disasters' socio-economic effects disproportionally burden minority communities. We additionally discuss how Covid-19 measures have significantly accelerated effects on refugees compared to the local population, mainly due to the structural and policy context within which forcibly displaced Syrians have been received in Turkey.