Labour Demand in Germany by Industrial Sector, Occupational Field and Qualification Until 2025 – Model Calculations Using the Iab/Inforge Model

Maier, Tobias; Mönnig, Anke; Zika, Gerd

doi:10.1080/09535314.2014.997678

Cited by 32 publications

(22 citation statements)

References 12 publications

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“…The INFORGE model forecasts from time series. Technological changes are accounted by endogenously determining the intermediate coefficients based on relative prices and trends (Maier et al, 2015). In addition, the projections are sensitive to historical data, and uncertainties are carried forward year on year.…”

Section: Introductionmentioning

confidence: 99%

Hire fast, fire slow: the employment benefits of energy transitions

Füllemann

Moreau

Vielle

et al. 2019

Economic Systems Research

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The transition towards decarbonized and efficient energy systems has broad socioeconomic implications. We estimate the potential impacts on employment from efforts in energy efficiency in industry, transport and buildings as well as substituting local renewable energy sources for fossil fuels. Both energy supply and demand are accounted for. We use a hybrid approach that combines national energy transition scenarios with input-output tables, adjusted for new energy and non-energy activities. We conclude that the transition has a net positive impact on employment as illustrated by the case of Switzerland. The local and decentralized nature of energy efficiency and renewables retains a greater share of value-added domestically than does a supply chain of fossil fuels. Moreover, we find that more jobs are created in demand-side activities, such as building renovation, than in renewable energy generation. Positive impacts on jobs from spillover effects in all non-energy activities are also found.

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Section: Introductionmentioning

confidence: 99%

Hire fast, fire slow: the employment benefits of energy transitions

Füllemann

Moreau

Vielle

et al. 2019

Economic Systems Research

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“…PANTA RHEI (Lutz et al 2005;Lehr et al 2008;Meyer et al 2012) is an environmentally extended version of the econometric simulation and forecasting model INFORGE (Ahlert et al 2009;Meyer et al 2007). A detailed description of the economic part of the model is presented in Maier et al (2013Maier et al ( , 2015. For more details of the extended model, see Lutz (2011).…”

Section: Model Panta Rheimentioning

confidence: 99%

European Energy and Climate Security

Bardazzi¹,

Pazienza²,

Tonini³

2016

Lecture Notes in Energy

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study of energy: from science and engineering to the analysis of energy policy. The series' scope includes but is not limited to, renewable and green energy, nuclear, fossil fuels and carbon capture, energy systems, energy storage and harvesting, batteries and fuel cells, power systems, energy efficiency, energy in buildings, energy policy, as well as energy-related topics in economics, management and transportation. Books published in LNE are original and timely and bridge between advanced textbooks and the forefront of research. Readers of LNE include postgraduate students and non-specialist researchers wishing to gain an accessible introduction to a field of research as well as professionals and researchers with a need for an up-to-date reference book on a well-defined topic. The series publishes single and multi-authored volumes as well as advanced textbooks.More information about this series at

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“…Macroeconomic effects of an increase in renewable power generation [5]. [6]. For more details of the extended model, see [7].…”

Section: Economic Impacts Of Rpgt Deployment: National Perspectivementioning

confidence: 99%

Economic Impacts of Renewable Power Generation Technologies and the Role of Endogenous Technological Change

Lutz¹,

Flaute²,

Lehr³

et al. 2015

OJAppS

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This paper brings together the debate on economic impacts of renewable energy (RE) deployment and the discussion on modelling endogenous technological change on the global markets for the different renewable power generation technologies. Economic impacts of RE deployment are still mostly discussed on national level, where different effects have been identified. Recent research for Germany shows positive effects on the macro level and different distributional impacts. High investment in solar photovoltaics (PV) from 2010 to 2012 and induced increases in the RE surcharge are the main drivers. At the same time, cost reductions for wind and solar PV take place on global markets, with global learning curves explaining the cost reductions very well. This calls for better including the international dimension into the modelling. The complex feedback loops between global cost curves and national policies, which react to global learning with some time lags, are not yet integrated into complex economic models. These models have to capture different RE technologies, different industries, either delivering the RE technologies or strongly depending on electricity prices, which are influenced by national support policies and macroeconomic development. As a first step to better understand the role of international markets, assumptions on RE exports based on global scenarios can be used. Results show the importance of global markets at least for the German RE industries. If the international dimension is taken into account, mainly positive economic impacts of further RE deployment can be observed.

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Labour Demand in Germany by Industrial Sector, Occupational Field and Qualification Until 2025 – Model Calculations Using the Iab/Inforge Model

Cited by 32 publications

References 12 publications

Hire fast, fire slow: the employment benefits of energy transitions

Hire fast, fire slow: the employment benefits of energy transitions

European Energy and Climate Security

Economic Impacts of Renewable Power Generation Technologies and the Role of Endogenous Technological Change

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