“…While in the USA focus has been on photovoltaic technologies (Cook, 1998;US DOE, 1992), in Europe there have been various studies aiming to show the positive impacts derived from the deployment of other renewable energy technologies. (Ciorba et al, 2004;Kulišić et al, 2007;Madlener and Koller, 2007;Allan et al, 2008). Germany is the leading country in this regard, with several studies which have analysed the whole energy planning system in an integrated framework (Pfaffenberger et al, 2003;Umweltbundesamt, 2004;BMU, 2004;Hillebrand et al, 2006;Lehr et al, 2008).…”
“…While in the USA focus has been on photovoltaic technologies (Cook, 1998;US DOE, 1992), in Europe there have been various studies aiming to show the positive impacts derived from the deployment of other renewable energy technologies. (Ciorba et al, 2004;Kulišić et al, 2007;Madlener and Koller, 2007;Allan et al, 2008). Germany is the leading country in this regard, with several studies which have analysed the whole energy planning system in an integrated framework (Pfaffenberger et al, 2003;Umweltbundesamt, 2004;BMU, 2004;Hillebrand et al, 2006;Lehr et al, 2008).…”
“…Ciorba et al (2004) measured the impact of photovoltaic investment in Morocco in terms of induced production and job creation, using the static I-O methodology. More recently (World Bank, 2011), an application of the JEDI model was used to estimate the impact on GDP, foreign trade and job creation of the development of a local manufacturing industry for CSP components in the MENA region by 2020.…”
Section: D)mentioning
confidence: 99%
“…It is forecast that the Moroccan economy will experience deep change in its internal and external economic linkages in terms of the production structure. In order to capture this evolution dynamics in the simulation system, we start with the classic I-O model framework in its traditional implementation (see Ciorba et al, 2004 andCaldés et al, 2009) but, in order to avoid the constraints of the static point of view of this focus in a long-term simulation, we incorporate some technical variants. The main variant in our model is use of a dynamic evolution in the technical coefficients of I-O and in the labour productivity coefficients, developing a changing structure of these crucial factors during the simulation forecasting time.…”
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ABSTRACTIn this paper we identify the renewable energy source (RES) demand scenarios for Morocco, the needs of RES installed capacity according to those scenarios and the detailed investment plans needed to achieve such installed capacity supply. Then, using a dynamic variant input output model, we simulate the macroeconomic impact of the foreign investment inflows needed to make available these Moroccan RES generation capacity plans in the medium and long term. The use of concentrated solar plants, photovoltaic generation and wind power farms are considered and compared in the simulation.
“…The second category creates an extended IO table from the original IO table using detailed cost and employment data obtained by interviews and statistics. Ciorba et al [19] and Lehr et al [20] used this method to evaluate the impact on the Moroccan and German labor markets, respectively, of the introduction of renewable energy technologies. The current authors [21,22] have previously calculated the life cycle employment intensity of renewable energy technologies using an extended IO table by disaggregating the sectors related to renewable energy from the original Japanese 2005 IO table. The third category applies a so-called hybrid method of bottom-up and IO approaches to life cycle inventory analysis, to which the characteristics of the target technology can be reflected.…”
Input-output (IO) analysis is a useful economic method to evaluate the potential socio-economic and environmental impacts associated both directly and indirectly with energy technologies. Using an IO table, this study establishes a scenario analysis framework to evaluate the socio-economic and environmental impacts arising from future power generation technology mixes. The impact indices selected are employment generation and greenhouse gas emissions. The study adopts a hybrid method for the framework it establishes: a combined bottom-up and IO life cycle inventory analysis approach to reflect the technological differences by power generation technology. Using an IO table for future analysis is limited because the industrial structure is fixed to the IO table benchmark year and it is thus not possible to reflect any potential inter-sector transaction changes that may arise from technological progress. However, the framework is valuable in estimating the future potential impacts that might arise from the current industrial structure and technology level. A case study is conducted using the established framework on the potential impacts of Japan's future grid mix scenarios. The case study considers the differences in lead-times and durable years per power generation technology to ascertain the continuous and temporary jobs and greenhouse gas (GHG) emissions.
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