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  1. Article ; Online: Factor in gender to beat the heat in impoverished settlements.

    Bardhan, Ronita / Debnath, Ramit / Mukherjee, Bhramar

    Nature

    2023  Volume 620, Issue 7975, Page(s) 727

    MeSH term(s) Female ; Humans ; Male ; Extreme Heat/adverse effects ; Health Inequities ; Sex Characteristics ; Sex Factors
    Language English
    Publishing date 2023-08-22
    Publishing country England
    Document type Letter
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-023-02632-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 26: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 9: Show issues
    Zs.MO 244: Show issues

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  2. Article ; Online: Identifying American climate change free riders and motivating sustainable behavior.

    Magistro, Beatrice / Abramson, Cecilia / Ebanks, Daniel / Debnath, Ramit / Alvarez, R Michael

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 6575

    Abstract: Free riders, who benefit from collective efforts to mitigate climate change but do not actively contribute, play a key role in shaping behavioral climate action. Using a sample of 2096 registered American voters, we explore the discrepancy between two ... ...

    Abstract Free riders, who benefit from collective efforts to mitigate climate change but do not actively contribute, play a key role in shaping behavioral climate action. Using a sample of 2096 registered American voters, we explore the discrepancy between two groups of free riders: cynics, who recognize the significance of environmental issues but do not adopt sustainable behaviors, and doubters, who neither recognize the significance nor engage in such actions. Through statistical analyses, we show these two groups are different. Doubters are predominantly male, younger, with lower income and education, exhibit stronger conspiracy beliefs, lower altruism, and limited environmental knowledge, are more likely to have voted for Trump and lean towards conservative ideology. Cynics are younger, religious, higher in socioeconomic status, environmentally informed, liberal-leaning, and less likely to support Trump. Our research provides insights on who could be most effectively persuaded to make climate-sensitive lifestyle changes and provides recommendations to prompt involvement in individual sustainability behaviors. Our findings suggest that for doubters, incentivizing sustainability through positive incentives, such as financial rewards, may be particularly effective. Conversely, for cynics, we argue that engaging them in more community-driven and social influence initiatives could effectively translate their passive beliefs into active participation.
    MeSH term(s) Male ; Humans ; United States ; Female ; Altruism ; Motivation ; Income ; Social Class ; Climate Change
    Language English
    Publishing date 2024-03-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57042-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Disruptive innovation for inclusive renewable policy in sub-Saharan Africa: A social shaping of technology analysis of appliance uptake in Rwanda

    Muza, Olivia / Debnath, Ramit

    Renewable energy. 2021 May, v. 168

    2021  

    Abstract: Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances ... ...

    Abstract Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances provides a critical lens of understanding the involved socio-technical drivers behind these constraints. This study employs an SST lens to investigate appliance uptake drivers in 14,580 households in Rwanda, such that these drivers can aid in policy design for green growth at the grassroots level. The methodology includes an epistemological review of non-income drivers of appliance uptake. Empirical analysis using a binary logistic regression, based on which disruptive innovation pathways were derived for fostering green growth. Results showed that appliance uptake was highly gendered and skewed across the Ubudehe (social welfare) categories. ICT-devices like mobile phones and radios had a higher likelihood of ownership than welfare appliances like refrigerator and laundry machines. Fans and cookers also demonstrated a greater probability of ownership. Disruptive innovation pathways were derived from leveraging the ICT-driven wave of appliance ownership, creation of service sectors through off-grid renewable solutions and promoting cleaner fuel-switching of cooking energy at the household level. Further policy implications were drawn to support the creation of consumption identities for green growth.
    Keywords empirical research ; energy ; issues and policy ; laundry ; ownership ; refrigerators ; regression analysis ; renewable energy sources ; social welfare ; Rwanda
    Language English
    Dates of publication 2021-05
    Size p. 896-912.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2001449-1
    ISSN 1879-0682 ; 0960-1481
    ISSN (online) 1879-0682
    ISSN 0960-1481
    DOI 10.1016/j.renene.2020.12.091
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Harnessing human and machine intelligence for planetary-level climate action.

    Debnath, Ramit / Creutzig, Felix / Sovacool, Benjamin K / Shuckburgh, Emily

    npj climate action

    2023  Volume 2, Issue 1, Page(s) 20

    Abstract: The ongoing global race for bigger and better artificial intelligence (AI) systems is expected to have a profound societal and environmental impact by altering job markets, disrupting business models, and enabling new governance and societal welfare ... ...

    Abstract The ongoing global race for bigger and better artificial intelligence (AI) systems is expected to have a profound societal and environmental impact by altering job markets, disrupting business models, and enabling new governance and societal welfare structures that can affect global consensus for climate action pathways. However, the current AI systems are trained on biased datasets that could destabilize political agencies impacting climate change mitigation and adaptation decisions and compromise social stability, potentially leading to societal tipping events. Thus, the appropriate design of a less biased AI system that reflects both direct and indirect effects on societies and planetary challenges is a question of paramount importance. In this paper, we tackle the question of data-centric knowledge generation for climate action in ways that minimize biased AI. We argue for the need to co-align a less biased AI with an epistemic web on planetary health challenges for more trustworthy decision-making. A human-in-the-loop AI can be designed to align with three goals. First, it can contribute to a planetary epistemic web that supports climate action. Second, it can directly enable mitigation and adaptation interventions through knowledge of social tipping elements. Finally, it can reduce the data injustices associated with AI pretraining datasets.
    Language English
    Publishing date 2023-08-17
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2731-9814
    ISSN (online) 2731-9814
    DOI 10.1038/s44168-023-00056-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A review of challenges from increasing renewable generation in the Indian Power Sector: Way forward for Electricity (Amendment) Bill 2020

    Debnath, Ramit / Mittal, Vibhor / Jindal, Abhinav

    Energy & environment. 2022 Feb., v. 33, no. 1

    2022  

    Abstract: About 70% of India’s current energy mix comprises of coal, and the increase in generation from renewable (RE) sources is affecting the health of the power system. We investigated this effect through the lens of asset utilisation, cost and the social ... ...

    Abstract About 70% of India’s current energy mix comprises of coal, and the increase in generation from renewable (RE) sources is affecting the health of the power system. We investigated this effect through the lens of asset utilisation, cost and the social disruption caused by accelerating RE into the Indian Power System. Our review-driven analysis revealed that increasing RE generation is pushing the coal plants to operate in low-loading conditions, causing heightened wear and tear of the plant as they are not suitable for flexible operation. The novel analysis of social disruption due to market parity between RE and coal-based generation presented a holistic view of the political economy of Indian Power System. We found that transition from coal to RE may have extended socio-political ramifications that can potentially disrupt the national economy at an unprecedented scale. Policy implications outlined by our study for the draft Electricity (Amendment) Bill 2020 include scoping a socio-technical framework which supports just energy transition through better financial support mechanisms for flexible operation of coal plants. Focusing on clean-up over shut-down of coal plants and facilitating investments in battery storage technologies and cross-border electricity trade as RE and conventional fuel reach market parity.
    Keywords assets ; batteries ; coal ; electricity ; energy ; environment ; funding ; issues and policy ; markets ; politics ; trade ; India
    Language English
    Dates of publication 2022-02
    Size p. 3-40.
    Publishing place SAGE Publications
    Document type Article
    ZDB-ID 1033480-4
    ISSN 2048-4070 ; 0958-305X
    ISSN (online) 2048-4070
    ISSN 0958-305X
    DOI 10.1177/0958305X20986246
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 5965: Show issues

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  6. Article ; Online: India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling.

    Debnath, Ramit / Bardhan, Ronita

    PloS one

    2020  Volume 15, Issue 9, Page(s) e0238972

    Abstract: India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive policies ... ...

    Abstract India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive policies to fight coronavirus across its policy sectors. Primary data was collected from the Press Information Bureau (PIB) in the form press releases of government plans, policies, programme initiatives and achievements. A text corpus of 260,852 words was created from 396 documents from the PIB. An unsupervised machine-based topic modelling using Latent Dirichlet Allocation (LDA) algorithm was performed on the text corpus. It was done to extract high probability topics in the policy sectors. The interpretation of the extracted topics was made through a nudge theoretic lens to derive the critical policy heuristics of the government. Results showed that most interventions were targeted to generate endogenous nudge by using external triggers. Notably, the nudges from the Prime Minister of India was critical in creating herd effect on lockdown and social distancing norms across the nation. A similar effect was also observed around the public health (e.g., masks in public spaces; Yoga and Ayurveda for immunity), transport (e.g., old trains converted to isolation wards), micro, small and medium enterprises (e.g., rapid production of PPE and masks), science and technology sector (e.g., diagnostic kits, robots and nano-technology), home affairs (e.g., surveillance and lockdown), urban (e.g. drones, GIS-tools) and education (e.g., online learning). A conclusion was drawn on leveraging these heuristics are crucial for lockdown easement planning.
    MeSH term(s) COVID-19 ; Communicable Disease Control/organization & administration ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Humans ; India ; Machine Learning ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Public Policy
    Keywords covid19
    Language English
    Publishing date 2020-09-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0238972
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  7. Article: Disruptive innovation for inclusive renewable policy in sub-Saharan Africa: A social shaping of technology analysis of appliance uptake in Rwanda.

    Muza, Olivia / Debnath, Ramit

    Renewable energy

    2020  Volume 168, Page(s) 896–912

    Abstract: Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances ... ...

    Abstract Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances provides a critical lens of understanding the involved socio-technical drivers behind these constraints. This study employs an SST lens to investigate appliance uptake drivers in 14,580 households in Rwanda, such that these drivers can aid in policy design for green growth at the grassroots level. The methodology includes an epistemological review of non-income drivers of appliance uptake. Empirical analysis using a binary logistic regression, based on which disruptive innovation pathways were derived for fostering green growth. Results showed that appliance uptake was highly gendered and skewed across the Ubudehe (social welfare) categories. ICT-devices like mobile phones and radios had a higher likelihood of ownership than welfare appliances like refrigerator and laundry machines. Fans and cookers also demonstrated a greater probability of ownership. Disruptive innovation pathways were derived from leveraging the ICT-driven wave of appliance ownership, creation of service sectors through off-grid renewable solutions and promoting cleaner fuel-switching of cooking energy at the household level. Further policy implications were drawn to support the creation of consumption identities for green growth.
    Language English
    Publishing date 2020-10-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001449-1
    ISSN 1879-0682 ; 0960-1481
    ISSN (online) 1879-0682
    ISSN 0960-1481
    DOI 10.1016/j.renene.2020.12.091
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Financing renewable energy: policy insights from Brazil and Nigeria.

    Isah, Abdulrasheed / Dioha, Michael O / Debnath, Ramit / Abraham-Dukuma, Magnus C / Butu, Hemen Mark

    Energy, sustainability and society

    2023  Volume 13, Issue 1, Page(s) 2

    Abstract: Background: Achieving climate targets will require a rapid transition to clean energy. However, renewable energy (RE) firms face financial, policy, and economic barriers to mobilizing sufficient investment in low-carbon technologies, especially in low- ... ...

    Abstract Background: Achieving climate targets will require a rapid transition to clean energy. However, renewable energy (RE) firms face financial, policy, and economic barriers to mobilizing sufficient investment in low-carbon technologies, especially in low- and middle-income countries. Here, we analyze the challenges and successes of financing the energy transition in Nigeria and Brazil using three empirically grounded levers: financing environments, channels, and instruments.
    Results: While Brazil has leveraged innovative policy instruments to mobilize large-scale investment in RE, policy uncertainty and weak financing mechanisms have hindered RE investments in Nigeria. Specifically, Brazil's energy transition has been driven by catalytic finance from the Brazilian Development Bank (BNDES). In contrast, bilateral agencies and multilateral development banks (MDBs) have been the largest financiers of renewables in Nigeria. Policy instruments and public-private partnerships need to be redesigned to attract finance and scale market opportunities for RE project developers in Nigeria.
    Conclusions: We conclude that robust policy frameworks, a dynamic public bank, strategic deployment of blended finance, and diversification of financing instruments would be essential to accelerate RE investment in Nigeria. Considering the crucial role of donors and MDBs in Nigeria, we propose a multi-stakeholder model to consolidate climate finance and facilitate the country's energy transition.
    Language English
    Publishing date 2023-01-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2641015-1
    ISSN 2192-0567
    ISSN 2192-0567
    DOI 10.1186/s13705-022-00379-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Facilitating system-level behavioural climate action using computational social science.

    Debnath, Ramit / van der Linden, Sander / Alvarez, R Michael / Sovacool, Benjamin K

    Nature human behaviour

    2023  Volume 7, Issue 2, Page(s) 155–156

    MeSH term(s) Humans ; Social Sciences ; Climate
    Language English
    Publishing date 2023-01-25
    Publishing country England
    Document type Letter ; Research Support, Non-U.S. Gov't
    ISSN 2397-3374
    ISSN (online) 2397-3374
    DOI 10.1038/s41562-023-01527-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Do fossil fuel firms reframe online climate and sustainability communication? A data-driven analysis.

    Debnath, Ramit / Ebanks, Danny / Mohaddes, Kamiar / Roulet, Thomas / Alvarez, R Michael

    npj climate action

    2023  Volume 2, Issue 1, Page(s) 47

    Abstract: Identifying drivers of climate misinformation on social media is crucial to climate action. Misinformation comes in various forms; however, subtler strategies, such as emphasizing favorable interpretations of events or data or reframing conversations to ... ...

    Abstract Identifying drivers of climate misinformation on social media is crucial to climate action. Misinformation comes in various forms; however, subtler strategies, such as emphasizing favorable interpretations of events or data or reframing conversations to fit preferred narratives, have received little attention. This data-driven paper examines online climate and sustainability communication behavior over 7 years (2014-2021) across three influential stakeholder groups consisting of eight fossil fuel firms (industry), 14 non-governmental organizations (NGOs), and eight inter-governmental organizations (IGOs). We examine historical Twitter interaction data (
    Language English
    Publishing date 2023-12-18
    Publishing country England
    Document type Journal Article
    ISSN 2731-9814
    ISSN (online) 2731-9814
    DOI 10.1038/s44168-023-00086-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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