Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability

Jorgenson, Andrew K.; Alekseyko, Alina; Giedraitis, Vincentas Rolandas

doi:10.1016/j.enpol.2013.11.020

Cited by 144 publications

(107 citation statements)

References 34 publications

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“…In order to maximize comparability of our results with previous work, we utilize Gini coefficients for earnings based on employer surveys, supplemented with Gini coefficients for income based on household surveys from TRANSMONEE (2012) (see Bandelj and Mahutga 2010;Jorgenson, Alekseyko, and Giedraitis 2014;Mahutga and Bandelj 2008). Because the earnings Gini coefficients were obtained from employer surveys, no adjustments for variation in household size were made (income Ginis are adjusted).…”

Section: Dependent Variablementioning

confidence: 99%

Production Networks and Varieties of Institutional Change: The Inequality Upswing in Post-Socialism Revisited

Mahutga

Jorgenson

2016

Social Forces

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In this article, we elucidate two new mechanisms for the rise in earnings inequality during postsocialist transition. First, the integration of transition country firms into globalized production networks (GPNs) should increase inequality independently of foreign direct investment (FDI). Second, because EU integration hastened the transition from Soviet era labor market practices, the distributional effects of private markets and world-economic integration should be larger among acceding countries. A longitudinal analysis of Gini coefficients among 16 transition countries from 1991 to 2009 supports these interventions: GPN integration increases inequality independently of FDI, and both private markets and world-economic integration have stronger effects in EU transition countries. These results are robust to a host of alternative explanations, to varying operationalizations of the labor-market effects of EU integration, and to alternative estimators. Through counterfactual analysis, we show that inequality would have increased less dramatically in the absence of EU integration.

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Section: Dependent Variablementioning

confidence: 99%

Production Networks and Varieties of Institutional Change: The Inequality Upswing in Post-Socialism Revisited

Mahutga

Jorgenson

2016

Social Forces

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“…A review of the energy consumption literature shows that there are a vast number of studies on the energy consumption (Jorgenson et al, 2014;Wang, 2014). Some of them about energy prediction are reported here.…”

Section: Scale Numbermentioning

confidence: 99%

A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumption

Azadeh

Aryaee

Zarrin

et al. 2016

Energy Exploration & Exploitation

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In today's economic environment, performance and efficiency assessment is essential for organizations in order to survive and raise their market share. Energy efficient consumption is a major issue in the energy planning of each country which is a big concern of managers, hence, exploitation of a strong approach for efficiency evaluation and assessment seems necessary in the energy section. In this study, a novel performance assessment model is proposed based on the concept of trust, using two popular fuzzy operators called T-norm and S-norm. The developed model is applied for a real case study of energy consumption efficiency assessment for 36 countries. An adaptive network based fuzzy inference system (ANFIS) is used to measure the efficiencies. Also, to predict efficiency rates of the future time periods, a regression model is applied as a time series model. The obtained results indicate the superiority and applicability of the proposed methodology. To the best of our knowledge, this is the first study that proposes a novel performance measurement approach based on trust context by using fuzzy T-norm and S-norm operators.

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“…The resolution involves equalizing the coefficient of variation for the numerator (in our case, energy use per capita) and coefficient of variation for the denominator (life expectancy) by adding a constant to the numerator, thereby shifting the mean without altering the variance [24,41,43]. For our variables, the coefficient of variation can be equalized to the fourth decimal place by adding 17,737 to energy use per capita.…”

Section: Dependent Variablementioning

confidence: 99%

“…Ecological intensity of well-being departs from this approach by considering the ratio of country-level environmental impacts and some indicator of human well-being-such as life expectancy. For instance, [41] and [42] operationalize ecological intensity of wellbeing by using ecological footprints and life expectancy, [43,44] and [45] employ carbon dioxide emissions per capita and life expectancy, while [24] and [25] rely on the ratio of energy consumption and life expectancy. On the other hand, [46] prefer to use the ratio of ecological footprints and average life satisfaction-an indicator of subjective well-being.…”

Section: Ecological Intensity Of Human Well-beingmentioning

confidence: 99%

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Democratic institutions and the energy intensity of well-being: a cross-national study

Mayer

2017

Energ Sustain Soc

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Background: Energy consumption is necessary for human well-being, yet the growth of energy consumption also contributes to climate change and a range of negative externalities. Thus, a key sustainability challenge is to efficiently use energy consumption to promote human well-being. This manuscript contributes to the growing literature on the ecological intensity of well-being (EIWB) by modeling the relationship between democratic institutions and the energy intensity of well-being. Methods: We use international data to understand how democratic institutions-understood as a combination of elected legislature, elected executives, and democratic competition-impact the energy intensity of well-being. The energy intensity of well-being is an adjusted ratio of energy consumption and life expectancy. We combine randomintercept mixed-effect models with entropy balancing constraints to create covariate balance between democracies and non-democracies. Results: Contrary to our expectations, we find that consistently null results suggesting that democracies do not leverage their energy consumption to improve well-being more effectively than other systems of government. Democracy and its subcomponents do not appear to improve, or reduce, the energy intensity of well-being. Conclusions: Democracy does not appear to improve sustainability, operationalized as the energy intensity of well-being. On the other hand, democracies do not appear to do worse than non-democracies, suggesting democratization can spread without reducing sustainability.

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Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability

Cited by 144 publications

References 34 publications

Production Networks and Varieties of Institutional Change: The Inequality Upswing in Post-Socialism Revisited

Production Networks and Varieties of Institutional Change: The Inequality Upswing in Post-Socialism Revisited

A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumption

Democratic institutions and the energy intensity of well-being: a cross-national study

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