It’s about time: How recent advances in time series analysis techniques can enhance energy and climate research

Thombs, Ryan P.; Huang, Xiaorui; Jorgenson, Andrew K.

doi:10.1016/j.erss.2020.101882

Cited by 7 publications

(5 citation statements)

References 49 publications

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“…This leads to the third problem in implementing smart energy technologies if they are understood as contributing to climate change mitigation and faster decarbonization [ [232] , [233] , [234] ]. However, few ideas exist for how the serious problems of smart energy technologies might be addressed, such as a roadmap for the moral programming of smart technology [ 235 ].…”

Section: Discussion: Smart Advantages Vs Self-monitoring Drawbacksmentioning

confidence: 99%

Smart energy systems beyond the age of COVID-19: Towards a new order of monitoring, disciplining and sanctioning energy behavior?

Radtke

2022

Energy Research & Social Science

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Section: Discussion: Smart Advantages Vs Self-monitoring Drawbacksmentioning

confidence: 99%

Smart energy systems beyond the age of COVID-19: Towards a new order of monitoring, disciplining and sanctioning energy behavior?

Radtke

2022

Energy Research & Social Science

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“…An analysis of the models used in energy efficiency is provided by Refs. [39,40]. The majority of the studies in terms of regional convergence of energy productivity focus on Chinese provinces.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy and Mineral Resources Exploitation in the Delignitization Era: The Case of Greek Peripheries

et al. 2022

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The efficient and sustainable exploitation of energy resources may secure a sustainable economic growth for different regions. However, the peripheries are subject to social, economic, and political constraints, with limited power over energy management. The present work examines regional convergence in exploitation efficiency as synopsized in the GDP generated by energy and minerals in an era of the country’s efforts to shut down the lignite-run power production. With the assistance of panel unit root tests, we confirm non convergence of the variables employed, an expected result given the fact that different energy sources are being used for energy production by each different periphery, generating different economic results. In the second stage the methodology employed is a Bayesian vector auto-regressive model (BVAR) with an informative prior on the steady state. The particular methodology outperforms the conventional VAR methodology due to limited degrees of freedom. The Impulse response analysis and the Variance Decomposition analysis confirmed interlinkages among the regions studied. This result implies that the growth generated by different energy and mineral resources are interconnected. Furthermore, the energy transition taking place in Megalopoli and West Macedonia, where the two greatest lignite industries were located until recently, affects the growth generated by energy and resource exploitation for all the other peripheries, according to our findings. The novelty of the present work stands on the concept to detect interlinkages of energy and resources-based growth for the peripheries in Greece with the assistance of the Bayesian Var. The results of the present work are significant, since our findings suggest to policy makers tools to promote economic growth generated by energy based on alternative energy sources, including the environmentally friendly ones, by taking into consideration the interlinkages established by the existing infrastructure and the conventional energy sources used.

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“…Although sociology relies primarily on cross-sectional and panel data methods to derive inferences between socioecological processes, time-series analysis allows researchers to analyze how processes are related to one another over long periods of time for a single case (Pickup 2014;Thombs, Huang, and Jorgenson 2021). With time-series data, researchers often use dynamic models to derive long-run relationships between variables, which contrasts with static models that estimate only the contemporaneous relationship between them.…”

Section: Long-run Multiplier Bounds Approach To Time-series Analysismentioning

confidence: 99%

The Unsustainable State: Greenhouse Gas Emissions, Inequality, and Human Well-Being in the United States, 1913 to 2017

Kelly

Thombs

Jorgenson

2021

Socius: Sociological Research for a Dynamic World

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A central premise of development strategies is that nations use natural resources, such as fossil fuels, to raise population living standards and enhance well-being. However, research shows that the relationship among human well-being, resource use, and the associated emissions is complex and context specific. To better understand if natural resource use plays a historic role in generating human well-being in the United States, the authors conduct a time-series analysis of greenhouse gas emissions and average life expectancy from 1913 to 2017. The results show that increases in greenhouse gas emissions per capita have an instantaneous, negative effect on life expectancy. The authors also find evidence that income inequality has a long-run negative effect on life expectancy. Additional analyses provide mixed results regarding whether and how the effects of emissions on life expectancy are conditional on income inequality. These findings contradict the assumption that reductions in emissions necessitate trade-offs in human well-being in high-income contexts.

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It’s about time: How recent advances in time series analysis techniques can enhance energy and climate research

Cited by 7 publications

References 49 publications

Smart energy systems beyond the age of COVID-19: Towards a new order of monitoring, disciplining and sanctioning energy behavior?

Smart energy systems beyond the age of COVID-19: Towards a new order of monitoring, disciplining and sanctioning energy behavior?

Energy and Mineral Resources Exploitation in the Delignitization Era: The Case of Greek Peripheries

The Unsustainable State: Greenhouse Gas Emissions, Inequality, and Human Well-Being in the United States, 1913 to 2017

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