Low‐carbon Reconstruction: A Meta‐Synthesis Approach for the Sustainable Development of a Post‐Disaster Community

Lü, Yi; Xu, Jiuping

doi:10.1002/sres.2302

Cited by 4 publications

(3 citation statements)

References 56 publications

(98 reference statements)

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“…During reconstruction, it's crucial to avoid inefficient practices that increase CO2 emissions, focusing instead on low-carbon rebuilding approaches tailored to local conditions. These results support findings by [13,75].…”

Section: Discussionsupporting

confidence: 92%

A Deep Dive into Indonesia's CO2 Emissions: The Role of Energy Consumption, Economic Growth and Natural Disasters

Idroes,

Hardi,

Noviandy

et al. 2023

Ekon. J. Econ.

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This study examines the influence of non-renewable energy consumption, renewable energy consumption, economic growth, and natural disasters on Indonesia's carbon dioxide (CO2) emissions spanning from 1980 to 2021. The Autoregressive Distributed Lag (ARDL) model is employed, with supplementary robustness checks utilizing Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR). The findings reveal that economic growth, along with non-renewable and renewable energy consumption, significantly affects CO2 emissions in both the short and long term. Robustness checks confirm the positive impact of non-renewable energy consumption and economic growth, while renewable energy consumption has a negative effect on CO2 emissions. Moreover, natural disasters exhibit a positive short-term impact on CO2 emissions. Pairwise Granger causality results further underscore the intricate relationships between the variables. To mitigate climate change and curb CO2 emissions in Indonesia, the study recommends implementing policies that foster sustainable economic development, encourage the adoption of renewable energy, and enhance disaster resilience.

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Section: Discussionsupporting

confidence: 92%

A Deep Dive into Indonesia's CO2 Emissions: The Role of Energy Consumption, Economic Growth and Natural Disasters

Idroes,

Hardi,

Noviandy

et al. 2023

Ekon. J. Econ.

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“…Bio-physical processes (i.e., environmental transformations, such as the so-called 'natural' events that trigger changes) and external shocks (i.e., indirect and sudden events that require effective management) are much less considered in the articles analyzed. Among the few examples, the work by Lu and Xu [77] addressing the low-carbon reconstruction and sustainable development of a local Chinese community after a severe seismic event is an example of a biophysical process. The paper by Luke and Emmanouil [78] working on the coal seam gas boom in an Australian region is an example of external shock.…”

Section: Events and Typologies Of Changementioning

confidence: 99%

Unpacking the Psychosocial Dimension of Decarbonization between Change and Stability: A Systematic Review in the Social Science Literature

2022

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This paper provides a systematic overview of the psychosocial contribution to decarbonization studies and critically discusses current trends. Following the PRISMA protocol, we reviewed 404 articles informing how socio-psychological processes affect decarbonization, and vice versa, and highlighting research gaps and biases. Contrary to criticisms about methodological individualism and reductionism of socio-psychological research on sustainability, the review illustrates that the field is equally attentive to psychosocial processes operating at different levels, including the individual (e.g., attitudes, stress, environmental concerns), community (e.g., collective identity, justice, sense of place), and socio-cultural levels (e.g., social norms, values, memory). However, evidence shows some problematic trends in the literature: (i) A bias toward specific agents and geographies, which overlooks mesoscale actors (e.g., media, unions, NGOs) and developing and eastern countries; (ii) instrumental and normative views of transitions, which coincide with a prevailing focus on cognitive processes and a selective bias toward technologies, policies, places, and natural resources conceived as instrumental to decarbonization. This also emphasizes how biophysical processes, people–nature relationships, and the role of emotions in understanding the psychology of agents and decarbonization processes are almost absent; (iii) a research gaze normatively oriented toward the future, which risks neglecting continuity–discontinuity dynamics and the timing and pace of transitions.

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“…As with other areas of basic and applied science that bridge multiple scientific disciplines and, in some cases, sectors [52][53][54][55][56], this framework recognizes methods that integrate capabilities and knowledge from different domains. It is done to support decision-making and tracking of a complex system in a rational way, in certain respects like multi-objective analysis or fuzzy logic approaches with flexibility that can be applied with artificial intelligence [57][58][59][60][61][62][63].…”

Section: Meta-level Framework For Analysis and Decision-makingmentioning

confidence: 99%

A Meta-Level Framework for Evaluating Resilience in Net-Zero Carbon Power Systems with Extreme Weather Events in the United States

Araújo

Shropshire

2021

Energies

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Important changes are underway in the U.S. power industry in the way that electricity is sourced, transported, and utilized. Disruption from extreme weather events and cybersecurity events is bringing new scrutiny to power-system resilience. Recognizing the complex social and technical aspects that are involved, this article provides a meta-level framework for coherently evaluating and making decisions about power-system resilience. It does so by examining net-zero carbon strategies with quantitative, qualitative, and integrative dimensions across discrete location-specific systems and timescales. The generalizable framework is designed with a flexibility and logic that allows for refinement to accompany stakeholder review processes and highly localized decision-making. To highlight the framework’s applicability across multiple timescales, processes, and types of knowledge, power system outages are reviewed for extreme weather events, including 2021 and 2011 winter storms that impacted Texas, the 2017 Hurricane Maria that affected Puerto Rico, and a heatwave/wildfire event in California in August 2020. By design, the meta-level framework enables utility decision-makers, regulators, insurers, and communities to analyze and track levels of resilience safeguards for a given system. Future directions to advance an integrated science of resilience in net-zero power systems and the use of this framework are also discussed.

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Low‐carbon Reconstruction: A Meta‐Synthesis Approach for the Sustainable Development of a Post‐Disaster Community

Cited by 4 publications

References 56 publications

A Deep Dive into Indonesia's CO2 Emissions: The Role of Energy Consumption, Economic Growth and Natural Disasters

A Deep Dive into Indonesia's CO2 Emissions: The Role of Energy Consumption, Economic Growth and Natural Disasters

Unpacking the Psychosocial Dimension of Decarbonization between Change and Stability: A Systematic Review in the Social Science Literature

A Meta-Level Framework for Evaluating Resilience in Net-Zero Carbon Power Systems with Extreme Weather Events in the United States

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