Environmental rebound effect of energy efficiency improvements in Colombian households

Vélez-Henao, Johan-Andrés; García‐Mazo, Claudia‐María; Freire‐González, Jaume; Vivanco, David Font

doi:10.1016/j.enpol.2020.111697

Cited by 35 publications

(23 citation statements)

References 40 publications

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“…There is however a clear bias toward Europe (69% of the total) and the United States (16%) in regional case studies, with only 15% of studies focusing on other regions. Studies focusing on developing economies, where rebound estimates are thought to be largest (Chakravarty et al., 2013; Roy, 2000), are lacking, especially for Africa and Latin America, with only a few cases considered (e.g., Dufournaud et al., 1994; Lesme et al., 2021; Semboja, 1994; Vélez‐Henao et al., 2020). Long‐term analyses dealing with transformational effects are also lacking, even though transformational effects can be appraised using theories of technical change, as is done in the pioneering work of Sandén and Karlstrom (2007).…”

Section: Discussion: Current Knowledge Gaps and Research Agendamentioning

confidence: 99%

Rebound effect and sustainability science: A review

Vivanco

Galvin

Santarius

et al. 2022

J of Industrial Ecology

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Rebound effects have been historically studied through narrow framings which may overlook the complexity of sustainability challenges, sometimes leading to badly informed conclusions and policy recommendations. Here we present a critical literature review of rebound effects in the context of sustainability science in order to (1) map existing rebound research which goes beyond mainstream approaches, (2) unveil and classify current knowledge gaps in relation to sustainability science, (3) outline a research agenda, and (4) provide a knowledge base to support the design of effective policies toward sustainable development. We analyzed the literature in accordance with seven criteria for sustainable assessment: boundary orientedness, comprehensiveness, integratedness, stakeholder involvement, scalability, strategicness, and transparency. Our review identified three main issues: (1) the failure to address the multidimensionality of rebound effects, whereby both negative and positive outcomes may arise simultaneously, (2) the shift toward absolute rebound metrics which enables the contextualization of its effect with respect to science and policy goals, and (3) a general lack of attention to behavioral effects. We conclude that addressing these issues will help rebound research gain explanatory power and relevance for key decision‐makers. We envision that with better alignment with sustainability science, future rebound research could help elucidate trade‐offs in policies, including why certain strategies such as those based on the circular economy might fall short of expectations, and why achieving key goals and targets such as the sustainable development goals is so challenging. This knowledge is crucial for promoting a prioritization of actions and a concrete transition toward sustainability.

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Section: Discussion: Current Knowledge Gaps and Research Agendamentioning

confidence: 99%

Rebound effect and sustainability science: A review

Vivanco

Galvin

Santarius

et al. 2022

J of Industrial Ecology

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show abstract

“…More precisely, in an attempt to diversify the energy system, the Colombian government adopted a policy promoting the use of wind, solar, and other sources of renewable power. The empirical analysis by Velez-Henao et al (2020) shows the environmental rebound effect offsetting the potential environmental saving. In a similar context, Bahinipati and Viswanathan (2019a) observe that large-scale adoption of irrigation-efficient technologies may not reduce groundwater extraction in water-stressed regions in Gujarat, India.…”

Section: Limits Of Supply-side Interventions: Beyond Technological Fixesmentioning

confidence: 99%

“…In a slightly different setting, studies have noted how the increasing share of renewable sources may have complex effects on the price of electricity, which could in turn increase the overall household demand for energy, leading to a reduction in potential environmental savings. Velez-Henao et al (2020) refer to this as the environmental rebound effect. More precisely, in an attempt to diversify the energy system, the Colombian government adopted a policy promoting the use of wind, solar, and other sources of renewable power.…”

Section: Limits Of Supply-side Interventions: Beyond Technological Fixesmentioning

confidence: 99%

Technological Innovations, Behavioural Interventions, and Household Energy Conservation

2022

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The threats associated with climate change and the worsening ecological crisis have led to a growing interest in energy-conservation policies. Policymakers across the globe have been scrambling to find cost-effective and sustainable methods to meet the world’s growing energy demands. Traditional policies have so far largely focused on supply-side interventions aimed at encouraging energy efficiency via green innovation and new technologies. However, as several studies have indicated, supply-side policies alone are unlikely to be adequate to achieve the ambitious changes required to make our future sustainable. This review article draws on recent studies in behavioural economics to emphasize the need to reorient public policy towards altering consumer end-uses through behavioural interventions. In an attempt to draw out important lessons for public policy, the article reviews this emerging strand of literature and underlines the complex factors that influence energy consumption in a household.

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“…A study by Jin [ 31 ], based on the electricity consumption data of 3500 households in South Korea, gave empirical calculations showing that the energy rebound effect was about 30%. Vélez-Henao et al [ 32 ] believed that every 1% drop in energy prices in Colombia would increase the rebound effect by 38.56%. Adha et al [ 33 ] found that the short-term and long-term rebound effects in Indonesia were 87.2% and −45.5%, respectively, indicating that technological improvements can improve energy efficiency in the long-term.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China

Liu

et al. 2022

IJERPH

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Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the impact of artificial intelligence on the energy efficiency of manufacturing enterprises. The results show that: (1) artificial intelligence, as measured by the use of industrial robots, has significantly improved the energy efficiency of manufacturing enterprises. This conclusion is still robust after introducing data on industrial robots in the United States over the same time period as the instrumental variable for the endogeneity test. (2) The mechanism test shows that artificial intelligence mainly promotes the improvement in energy efficiency by promoting technological progress; the impact of artificial intelligence on the technological efficiency of enterprises is not significant. (3) Heterogeneity analysis shows that the age of the manufacturing enterprises inhibits a promoting effect of artificial intelligence on energy efficiency; manufacturing enterprises’ performance can enhance the promoting effect of artificial intelligence on energy efficiency, but this promoting effect can only be shown when the enterprise performance is positive. The paper clarifies both the impact of artificial intelligence on the energy efficiency of manufacturing enterprises and its mechanism of action; this will help provide a reference for future decision-making designed to improve manufacturing enterprises’ energy efficiency.

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Environmental rebound effect of energy efficiency improvements in Colombian households

Cited by 35 publications

References 40 publications

Rebound effect and sustainability science: A review

Rebound effect and sustainability science: A review

Technological Innovations, Behavioural Interventions, and Household Energy Conservation

Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China

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