| Srl | Item |
| 1 |
ID:
121322
|
|
|
|
|
| Publication |
2013.
|
| Summary/Abstract |
State and local governments in the U.S. are actively promoting renewable energy and energy efficiency to seek economic development opportunities and create green jobs. This study evaluates the employment effects of state and local clean energy and climate policies in U.S. metropolitan areas (MSAs) in 2006. The regression analysis shows that both state and local clean energy policies have positive and statistically significant impacts on green jobs at the metropolitan level. The results from Two Stage Probit Least Squares (2SPLS) indicate that every additional state clean energy policy tool adopted is associated with 1% more green jobs in the MSA. On average, MSAs with ICLEI membership maintain 9.3% more green jobs than MSAs without ICLEI membership, Ceteris paribus.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
150400
|
|
|
|
|
| Summary/Abstract |
In support of its ambitious target to reduce CO2 emissions the Scottish Government is aiming to have the equivalent of 100% of Scottish electricity consumption generated from renewable sources by 2020. This is, at least in part, motivated by an expectation of subsequent employment growth in low carbon and renewable energy technologies; however there is no official data source to track employment in these areas. This has led to a variety of definitions, methodologies and alternative estimates being produced. Building on a recent study (Bishop and Brand, 2013) we develop a “hybrid” approach which combines the detail of “bottom-up” surveys with “top-down” trend data to produce estimates on employment in Low Carbon Environmental Goods and Services (LCEGS). We demonstrate this methodology to produce estimates for such employment in Scotland between 2004 and 2012. Our approach shows how survey and official sources can combine to produce a more timely measure of employment in LCEGS activities, assisting policymakers in tracking, consistently, developments. Applying our approach, we find that over this period employment in LCEGS in Scotland grew, but that this was more volatile than aggregate employment, and in particular that employment in this sector was particularly badly hit during the great recession.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
ID:
177384
|
|
|
|
|
| Summary/Abstract |
The supply of electricity from renewable energy sources (RESs) represent one of the key measures to reduce environmental impacts on the basis of the new decarbonization target set by the European Union. However, the expected benefits do not refer only to the decrease in fossil fuel demand and the reduction of environmental impacts. Among the social impacts, employment increase represents one of the most important benefits, especially in a period of crisis economy. This paper aimed to investigate the potential of investments in the energy sector in Italy through the application of the Input-Output analysis. The assessment outcomes were tested investigating the PNIEC (Piano Nazionale Integrato per l’Energia e il Clima) provided by the Ministry of Economic Development in 2020. Specifically, the power systems that PNIEC planned to install until 2040 were analyzed, focusing on wind, photovoltaic, hydroelectric and geothermal infrastructures. The results showed that RESs investments can have a strong positive impact on the Italian economy both directly and indirectly. Sensitivity analyses highlighted that the import share of primary components of RESs strongly influences occupational performance, particularly for PV systems.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
ID:
094254
|
|
|
|
|
| Publication |
2010.
|
| Summary/Abstract |
An analytical job creation model for the US power sector from 2009 to 2030 is presented. The model synthesizes data from 15 job studies covering renewable energy (RE), energy efficiency (EE), carbon capture and storage (CCS) and nuclear power. The paper employs a consistent methodology of normalizing job data to average employment per unit energy produced over plant lifetime. Job losses in the coal and natural gas industry are modeled to project net employment impacts. Benefits and drawbacks of the methodology are assessed and the resulting model is used for job projections under various renewable portfolio standards (RPS), EE, and low carbon energy scenarios We find that all non-fossil fuel technologies (renewable energy, EE, low carbon) create more jobs per unit energy than coal and natural gas. Aggressive EE measures combined with a 30% RPS target in 2030 can generate over 4 million full-time-equivalent job-years by 2030 while increasing nuclear power to 25% and CCS to 10% of overall generation in 2030 can yield an additional 500,000 job-years.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|