Elasticity Estimation for Nested Production Functions with Generalized Productivity

Frieling, Julius; Madlener, Reinhard

doi:10.2139/ssrn.2759380

Cited by 2 publications

(1 citation statement)

References 98 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Preferences and final goods production are described by CES functions. Intergenerational inequality aversion is set to its conventional value of 2 and the elasticity of factor substitution is 0.5 which is the midrange of values reported in Kander and Stern (2014) and Frieling and Madlener (2016). Population starts at its current value of 7 billion and flattens out at 11 billion people consistent with recent UN projections (UN, 2015).…”

Section: S Tmentioning

confidence: 87%

Climate policies under climate model uncertainty: Max-min and min-max regret

Rezai

Ploeg

2017

Energy Economics

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Temperature responses and optimal climate policies depend crucially on the choice of a particular climate model. To illustrate, the temperature responses to given emission reduction paths implied by the climate modules of the well-known integrated assessments models DICE, FUND and PAGE are described and compared. A dummy temperature module based on the climate denialists' view is added. Using a simple welfare-maximising growth model of the global economy, the sensitivity of the optimal carbon price, renewable energy subsidy and energy transition to each of these climate models is discussed. The paper then derives max-min, max-max and min-max regret policies to deal with this particular form of climate (model) uncertainty and with climate scepticism. The max-min or min-max regret climate policies rely on a non-sceptic view of global warming and lead to a substantial and moderate amount of caution, respectively. The max-max leads to no climate policies in line with the view of climate sceptics. Terms of use: Documents inJEL-Codes: H210, Q510, Q540.

show abstract

Section: S Tmentioning

confidence: 87%

Climate policies under climate model uncertainty: Max-min and min-max regret

Rezai

Ploeg

2017

Energy Economics

View full text Add to dashboard Cite

show abstract

The Rebound Effect and its Representation in Energy and Climate Models

Montero

Löschel²,

Madlener

2018

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractIn this paper, we review the state-of-the-art and common practice of energy and climate modeling visa-vis the rebound literature, in particular regarding how macroeconomic energy and climate models quantify and include energy and greenhouse gas rebound effects. First, we focus on rebound effects in models of costless energy efficiency improvement that hold other attributes constant (zero-cost breakthrough), and an energy efficiency policy that may be bundled with other product changes that affect energy use (policy-induced efficiency improvement) (Gillingham et al. 2015). Second, we examine macroeconomic studies focusing on energy efficiency both in industry and in private households. Third, we go through a general theoretical revision from micro-to macroeconomic levels (the aggregation level) to include a review of the so-called meso-level studies (focused on the analysis of the production side). From 118 recent studies along the aggregation level, out of which 25 compute rebound calculations, we find that the average energy rebound effect is 58% with a standard deviation of 58%, and when we include green house gas rebound calculations, the magnitude is of the order of 43% with a standard deviation of 55%. Finally, we argue that the rebound effect is a phenomenon that requires a sound understanding of the complex interactions from different dimensions (e.g. aggregation level, heterogeneity, climate, energy conservation and economic growth), and we provide some ideas and motivations for future research. JEL ClassificationE13, Q410, Q430, Q48, Q540, R13

show abstract

Elasticity Estimation for Nested Production Functions with Generalized Productivity

Cited by 2 publications

References 98 publications

Climate policies under climate model uncertainty: Max-min and min-max regret

Climate policies under climate model uncertainty: Max-min and min-max regret

The Rebound Effect and its Representation in Energy and Climate Models

Contact Info

Product

Resources

About