This page has only limited features, please log in for full access.
There is significant regional heterogeneity in terms of relative positioning in relation to the issue of sustainability and, in particular, in relation to the implementation of renewable energy. For this reason, the aim of this work is to analyze whether these differences in attributes for each region are likely to condition the expansion of renewable energy production. In this paper, we focus on wind energy. Therefore, the evolution of the installed capacity of wind energy is studied for a set of Spanish regions over the period between 2004 and 2017. The results obtained confirm that, in effect, there are factors linked to investment and environmental knowledge capable of conditioning the deployment of wind energy at the regional level.
María-Jesús Gutiérrez-Pedrero; María J. Ruiz-Fuensanta; Miguel-Ángel Tarancón. Regional Factors Driving the Deployment of Wind Energy in Spain. Energies 2020, 13, 3590 .
AMA StyleMaría-Jesús Gutiérrez-Pedrero, María J. Ruiz-Fuensanta, Miguel-Ángel Tarancón. Regional Factors Driving the Deployment of Wind Energy in Spain. Energies. 2020; 13 (14):3590.
Chicago/Turabian StyleMaría-Jesús Gutiérrez-Pedrero; María J. Ruiz-Fuensanta; Miguel-Ángel Tarancón. 2020. "Regional Factors Driving the Deployment of Wind Energy in Spain." Energies 13, no. 14: 3590.
One of the key objectives of the European Union is the transition to a total decarbonization of the economy by 2050. Within this strategic framework, the renewable energy development target plays a key role. This renewable energy deployment must be translated into national and European Union realities through specific political decisions. The econometric analysis techniques have the capacity to represent, in a mathematical and objective way, the system of relations comprising the economic, technical, and political factors that contribute to the deployment of renewable energy, and the impact that such an investment in renewable energy has at an economic, environmental, and social level. Therefore, econometric studies have a high potential to support policymakers who have to translate the guidelines of the strategic plan for renewable energy deployment into concrete policies. This article analyzed the capacity of the econometric literature on renewable energy development to provide this support, by means of a bibliometric study carried out on a sample of 153 documents related to 1329 keywords. The results show that, in general, there is a large literature based on econometric methodology to support the different renewable energy guidelines provided by the European Union 2020–2030 climate and energy strategic framework.
Consolación Quintana-Rojo; Fernando-Evaristo Callejas-Albiñana; Miguel-Ángel Tarancón; Isabel Martínez-Rodríguez. Econometric Studies on the Development of Renewable Energy Sources to Support the European Union 2020–2030 Climate and Energy Framework: A Critical Appraisal. Sustainability 2020, 12, 4828 .
AMA StyleConsolación Quintana-Rojo, Fernando-Evaristo Callejas-Albiñana, Miguel-Ángel Tarancón, Isabel Martínez-Rodríguez. Econometric Studies on the Development of Renewable Energy Sources to Support the European Union 2020–2030 Climate and Energy Framework: A Critical Appraisal. Sustainability. 2020; 12 (12):4828.
Chicago/Turabian StyleConsolación Quintana-Rojo; Fernando-Evaristo Callejas-Albiñana; Miguel-Ángel Tarancón; Isabel Martínez-Rodríguez. 2020. "Econometric Studies on the Development of Renewable Energy Sources to Support the European Union 2020–2030 Climate and Energy Framework: A Critical Appraisal." Sustainability 12, no. 12: 4828.
The fight against climate change will require the uptake of renewable energy technologies, including wind. However, as with any technological system, whether such deployment will effectively occur depends on the interactions of many variables, whose levels are subject to uncertainty. Therefore, identifying the set of technical, economic and political relationships that characterise the operation of wind generation systems is both an academic and a policy relevant objective. This article proposes a methodology which integrates an econometric model of simultaneous equations with a mathematical optimisation model in order to assess the feasibility of policies under different wind deployment scenarios considered by policy-makers, given the network of technical, economic and political relationships which define the functioning of a sector in a given country. In addition, this methodology quantifies the relevance of the role that each relationship among the variables of the system plays in order to comply with the targets and identifies the key relationships of the system. The method is illustrated with an application to the case of Spain, and the results stress the relevance of several variables and relationships which characterise the whole system.
Consolación Quintana-Rojo; Fernando E. Callejas Albiñana; Miguel-Ángel Tarancón; Pablo Del Río. Assessing the feasibility of deployment policies in wind energy systems. A sensitivity analysis on a multiequational econometric framework. Energy Economics 2020, 86, 104688 .
AMA StyleConsolación Quintana-Rojo, Fernando E. Callejas Albiñana, Miguel-Ángel Tarancón, Pablo Del Río. Assessing the feasibility of deployment policies in wind energy systems. A sensitivity analysis on a multiequational econometric framework. Energy Economics. 2020; 86 ():104688.
Chicago/Turabian StyleConsolación Quintana-Rojo; Fernando E. Callejas Albiñana; Miguel-Ángel Tarancón; Pablo Del Río. 2020. "Assessing the feasibility of deployment policies in wind energy systems. A sensitivity analysis on a multiequational econometric framework." Energy Economics 86, no. : 104688.
We provide a multilevel logit model based on panel data which allows a capturing of the determinants of investment in their capacity for generating renewable energy in farms. As a novelty, we focus on regional determinants in order to assess the role of the regional dimension in making decisions by farmers about whether or not to invest in renewable energy generation. The relevance of this territorial/regional dimension acquires even greater significance in countries with a high degree of administrative decentralization, as is the case in Spain; where energy legislation gives a central role to regional governments in aspects related to the promotion of renewable energy sources. Multilevel analysis allows us to evaluate together both dimensions: Individual and regional. The results highlight the importance of the R & D investment carried out in regions, as well as the fact that there is an environment that favors the diffusion of renewable energies into the territory. Other variables, such as the level of agricultural income or regional energy intensity, do not seem to have significant relevance in the light of these results.
María J. Ruiz-Fuensanta; María-Jesús Gutiérrez-Pedrero; Miguel-Ángel Tarancón. The Role of Regional Determinants in the Deployment of Renewable Energy in Farms. The Case of Spain. Sustainability 2019, 11, 5937 .
AMA StyleMaría J. Ruiz-Fuensanta, María-Jesús Gutiérrez-Pedrero, Miguel-Ángel Tarancón. The Role of Regional Determinants in the Deployment of Renewable Energy in Farms. The Case of Spain. Sustainability. 2019; 11 (21):5937.
Chicago/Turabian StyleMaría J. Ruiz-Fuensanta; María-Jesús Gutiérrez-Pedrero; Miguel-Ángel Tarancón. 2019. "The Role of Regional Determinants in the Deployment of Renewable Energy in Farms. The Case of Spain." Sustainability 11, no. 21: 5937.
An abundant volume of literature has been devoted to the analysis of the drivers of renewable electricity capacity additions in general and wind energy in particular. Nevertheless, whereas the direct influence of several explanatory variables has been considered, indirect effects, which refer to impacts of explanatory variables on another explanatory variable which, in turn, influence capacity additions, have been neglected. However, those effects need to be taken into account in order to properly grasp the full influence of the explanatory variables in general, and the policy variable in particular, on capacity additions (whether in wind energy generation or other energy systems). The aim of this paper is to identify the drivers of wind energy capacity additions. Based on data over the 1998–2015 period for Spain, a country with a substantial deployed wind capacity, we estimate a three-stage least squares multiecuational econometric model, which allows the analysis of direct and indirect effects as mediated by their influence on intermediate variables. Our results show that, as expected, wind capacity additions are positively and significantly driven by renewable energy support and negatively driven by the material costs of wind energy. Other variables are related to capacity additions in an indirect manner, i.e., through their influence on intermediate variables, i.e., electricity demand and electricity prices. This includes the positive impact of GDP, wind share, capacity load and price of oil. Others have a negative impact (tax share in the electricity price and electricity transport costs). Finally, no statistically significant relationship can be observed for the risk premium, interest rates and the price of gas. Our findings suggest that the success of renewable energy policy instruments might be contingent upon the level of other variables and, particularly, electricity consumption.
Consolación Quintana-Rojo; Fernando E. Callejas-Albiñana; Miguel-Angel Tarancón; Pablo Del Río. Identifying the Drivers of Wind Capacity Additions: The Case of Spain. A Multiequational Approach. Energies 2019, 12, 1944 .
AMA StyleConsolación Quintana-Rojo, Fernando E. Callejas-Albiñana, Miguel-Angel Tarancón, Pablo Del Río. Identifying the Drivers of Wind Capacity Additions: The Case of Spain. A Multiequational Approach. Energies. 2019; 12 (10):1944.
Chicago/Turabian StyleConsolación Quintana-Rojo; Fernando E. Callejas-Albiñana; Miguel-Angel Tarancón; Pablo Del Río. 2019. "Identifying the Drivers of Wind Capacity Additions: The Case of Spain. A Multiequational Approach." Energies 12, no. 10: 1944.
María Jesús Gutiérrez-Pedrero; Miguel Ángel Tarancón; Pablo del Río; Vicent Alcántara. Analysing the drivers of the intensity of electricity consumption of non-residential sectors in Europe. Applied Energy 2018, 211, 743 -754.
AMA StyleMaría Jesús Gutiérrez-Pedrero, Miguel Ángel Tarancón, Pablo del Río, Vicent Alcántara. Analysing the drivers of the intensity of electricity consumption of non-residential sectors in Europe. Applied Energy. 2018; 211 ():743-754.
Chicago/Turabian StyleMaría Jesús Gutiérrez-Pedrero; Miguel Ángel Tarancón; Pablo del Río; Vicent Alcántara. 2018. "Analysing the drivers of the intensity of electricity consumption of non-residential sectors in Europe." Applied Energy 211, no. : 743-754.
Vicent Alcántara; Miguel-Ángel Tarancón; Pablo Del Río. Assessing the technological responsibility of productive structures in electricity consumption. Energy Economics 2013, 40, 457 -467.
AMA StyleVicent Alcántara, Miguel-Ángel Tarancón, Pablo Del Río. Assessing the technological responsibility of productive structures in electricity consumption. Energy Economics. 2013; 40 ():457-467.
Chicago/Turabian StyleVicent Alcántara; Miguel-Ángel Tarancón; Pablo Del Río. 2013. "Assessing the technological responsibility of productive structures in electricity consumption." Energy Economics 40, no. : 457-467.
The aim of this paper is to identify the factors that drive support levels for wind on-shore electricity in the Member States of the European Union (EU) with the help of econometric techniques. The econometric analysis is based on cross-section linear regressions with ordinary least squares. Four alternative specifications of the model have been estimated. The estimates comply with the basic hypotheses of the lineal model, i.e., absence of multicollinearity, accurate functional form, homokedasticity and normality in the distribution of errors. Thus, the estimations are unbiased, efficient and consistent. The results show that countries with higher wind energy generation costs have higher support levels. The higher support levels in countries with higher carbon intensities suggest that wind energy deployment is regarded as effective to mitigate carbon emissions. The type of support scheme also influences support levels, with feed-in tariffs leading to lower levels of support than other instruments. In addition, a general good investment climate in the country makes higher support levels less necessary, stressing the importance of lowering risks in order to reduce support levels and, thus, financial transfers from consumers to producers. Thus, providing stable regulatory frameworks should be a priority of policy-makers. The rest of variables (renewable energy resource potentials, administrative barriers, energy import dependency, interest rates, share of wind energy in total electricity generation as a proxy of lobbying pressures and electricity demand) are not statistically significant in most specifications and some of them do not have the expected sign.
Pablo del Río; Miguel Angel Tarancón; Cristina Peñasco. The determinants of support levels for wind energy in the European Union. An econometric study. Mitigation and Adaptation Strategies for Global Change 2012, 19, 391 -410.
AMA StylePablo del Río, Miguel Angel Tarancón, Cristina Peñasco. The determinants of support levels for wind energy in the European Union. An econometric study. Mitigation and Adaptation Strategies for Global Change. 2012; 19 (4):391-410.
Chicago/Turabian StylePablo del Río; Miguel Angel Tarancón; Cristina Peñasco. 2012. "The determinants of support levels for wind energy in the European Union. An econometric study." Mitigation and Adaptation Strategies for Global Change 19, no. 4: 391-410.
The aim of this paper is to identify the determinants of differences in on-shore wind electricity capacity additions in the EU Member States. An econometric model is developed in which capacity additions are explained according to several variables (wind resource potentials, support levels, electricity generation costs, type of support scheme, administrative barriers, social support for wind electricity, the general investment climate in the country, electricity demand, the share of other low-carbon technologies, country area and whether there have been major or minor changes in the support scheme). The results show that capacity additions are significantly and negatively related to administrative barriers and changes in the support scheme and positively and significantly related to the general investment climate. The other variables are not statistically significant, although they generally have the expected sign. The results suggest that, more than the level of support granted to renewable energy technologies and the wind resource potentials of each country, capacity additions are encouraged by the removal of administrative barriers and by greater regulatory stability, leading to lower investment risks.
Pablo Del Río; Miguel-Ángel Tarancón. Analysing the determinants of on-shore wind capacity additions in the EU: An econometric study. Applied Energy 2012, 95, 12 -21.
AMA StylePablo Del Río, Miguel-Ángel Tarancón. Analysing the determinants of on-shore wind capacity additions in the EU: An econometric study. Applied Energy. 2012; 95 ():12-21.
Chicago/Turabian StylePablo Del Río; Miguel-Ángel Tarancón. 2012. "Analysing the determinants of on-shore wind capacity additions in the EU: An econometric study." Applied Energy 95, no. : 12-21.
Miguel Angel Tarancon; Pablo Del Río. Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques. Energy 2012, 37, 161 -170.
AMA StyleMiguel Angel Tarancon, Pablo Del Río. Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques. Energy. 2012; 37 (1):161-170.
Chicago/Turabian StyleMiguel Angel Tarancon; Pablo Del Río. 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques." Energy 37, no. 1: 161-170.
Pablo del Río; Miguel Ángel Tarancón Morán; Fernando Callejas Albiñana. Analysing the determinants of environmental technology investments. A panel-data study of Spanish industrial sectors. Journal of Cleaner Production 2011, 19, 1170 -1179.
AMA StylePablo del Río, Miguel Ángel Tarancón Morán, Fernando Callejas Albiñana. Analysing the determinants of environmental technology investments. A panel-data study of Spanish industrial sectors. Journal of Cleaner Production. 2011; 19 (11):1170-1179.
Chicago/Turabian StylePablo del Río; Miguel Ángel Tarancón Morán; Fernando Callejas Albiñana. 2011. "Analysing the determinants of environmental technology investments. A panel-data study of Spanish industrial sectors." Journal of Cleaner Production 19, no. 11: 1170-1179.
The aim of this paper is to develop a methodology based on the input–output approach which allows us to identify the structural and technological responsibility of manufacturing sectors in electricity consumption. Sectors with a high structural responsibility are those whose products are strongly demanded by other sectors and this leads to a high electricity consumption/production. Sectors with a high technological responsibility are those whose technologies use inputs which directly or indirectly require much electricity independently of the composition of final demand in the economy. This methodology is applied to the manufacturing sectors in Spain. It is found out that the chemical sector and industries manufacturing metal products have a large structural responsibility, but their technological responsibility is low. In contrast, the mineral (non-metallic) sectors form a cluster of industries with a high technological responsibility.
Miguel Ángel Tarancón; Pablo del Río; Fernando Callejas. Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case. Energy 2011, 36, 46 -52.
AMA StyleMiguel Ángel Tarancón, Pablo del Río, Fernando Callejas. Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case. Energy. 2011; 36 (1):46-52.
Chicago/Turabian StyleMiguel Ángel Tarancón; Pablo del Río; Fernando Callejas. 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case." Energy 36, no. 1: 46-52.
This paper analyses the factors leading to CO2 emissions in the Spanish electricity generation sector in order to propose effective mitigation policies aimed at tackling those emissions. Traditionally, two broad categories of those factors have been considered in the literature: those related to the supply of electricity (technological features of the sector) and those related to the level of economic activity (demand factors). This paper focuses on an additional element, which has usually been neglected, the structural factor, which refers to the set of intersectoral transactions (related to the technologies used in other productive sectors) which connect, in either a direct or an indirect way, the general economic activity with the supply of electricity and, thus, with the emissions of the electricity generation sector. This analysis allows us to identify the so-called “sectors structurally responsible for emissions” (SSER), whose production functions involve transactions which connect the demand for goods and services with the emissions of the electricity generation sector. The methodology is based on an input–output approach and a sensitivity analysis. The paper shows that there are structural rigidities, deeply ingrained within the economic system, which lead to emissions from the electricity generation sector for which this sector cannot be held responsible. These rigidities limit the effectiveness of policies aimed at emissions mitigation in this sector.
Miguel Ángel Tarancón Morán; Pablo Del Río; Fernando Callejas Albiñana. Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case. Energy Policy 2008, 36, 1915 -1926.
AMA StyleMiguel Ángel Tarancón Morán, Pablo Del Río, Fernando Callejas Albiñana. Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case. Energy Policy. 2008; 36 (6):1915-1926.
Chicago/Turabian StyleMiguel Ángel Tarancón Morán; Pablo Del Río; Fernando Callejas Albiñana. 2008. "Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case." Energy Policy 36, no. 6: 1915-1926.
A wide range of approaches are available for classifying coefficients according to their importance to an economy. The ‘tolerable limits’ approach is one that has been extensively written about. Nevertheless, it seems unsuitable for assessing the overall importance of a coefficient to an economy, but instead appears to be rather well suited for determining how much a selling sector depends upon its customers. We therefore suggest two alternative approaches for measuring a sector's importance to an economy. The first is an application of the concept of elasticity based on Sherman and Morrison's (1950) formula. The second approach applies linear programming. We compare these various alternatives using the domestic IO tables of eight European countries.
Miguel Ángel Tarancón; Fernando Callejas; Erik Dietzenbacher; Michael L. Lahr. A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients. Economic Systems Research 2008, 20, 75 -95.
AMA StyleMiguel Ángel Tarancón, Fernando Callejas, Erik Dietzenbacher, Michael L. Lahr. A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients. Economic Systems Research. 2008; 20 (1):75-95.
Chicago/Turabian StyleMiguel Ángel Tarancón; Fernando Callejas; Erik Dietzenbacher; Michael L. Lahr. 2008. "A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients." Economic Systems Research 20, no. 1: 75-95.
Miguel Ángel Tarancón Morán; Pablo Del Río González. Structural factors affecting land-transport CO2 emissions: A European comparison. Transportation Research Part D: Transport and Environment 2007, 12, 239 -253.
AMA StyleMiguel Ángel Tarancón Morán, Pablo Del Río González. Structural factors affecting land-transport CO2 emissions: A European comparison. Transportation Research Part D: Transport and Environment. 2007; 12 (4):239-253.
Chicago/Turabian StyleMiguel Ángel Tarancón Morán; Pablo Del Río González. 2007. "Structural factors affecting land-transport CO2 emissions: A European comparison." Transportation Research Part D: Transport and Environment 12, no. 4: 239-253.
Miguel Ángel Tarancón Morán; Pablo Del Río González. A combined input–output and sensitivity analysis approach to analyse sector linkages and CO2 emissions. Energy Economics 2007, 29, 578 -597.
AMA StyleMiguel Ángel Tarancón Morán, Pablo Del Río González. A combined input–output and sensitivity analysis approach to analyse sector linkages and CO2 emissions. Energy Economics. 2007; 29 (3):578-597.
Chicago/Turabian StyleMiguel Ángel Tarancón Morán; Pablo Del Río González. 2007. "A combined input–output and sensitivity analysis approach to analyse sector linkages and CO2 emissions." Energy Economics 29, no. 3: 578-597.
The high costs involved in the construction of input–output tables (IOTs) using survey methods, makes the development of mathematical projection techniques attractive. An adjustment and projection method of IOTs, based on mathematical programming techniques, is proposed here. The flexibility and ability to include information on elements and aggregates is one of this method's main advantages over alternative adjustment methods. Among the information included in the adjustment, the most relevant is related to the evolution hypothesis of the production structure under stable conditions. This leads to the inclusion of intervals for coefficients. A set of adjusted tables, consistent with their own internal structure, is obtained after an interactive and iterative process that reconciles all information sources. A projection of IOTs in Spain for the period 1995–1998 is undertaken to examine the accuracy of the method.
Miguel Angel Tarancón; Pablo Del Río. Projection of input–output tables by means of mathematical programming based on the hypothesis of stable structural evolution. Economic Systems Research 2005, 17, 1 -23.
AMA StyleMiguel Angel Tarancón, Pablo Del Río. Projection of input–output tables by means of mathematical programming based on the hypothesis of stable structural evolution. Economic Systems Research. 2005; 17 (1):1-23.
Chicago/Turabian StyleMiguel Angel Tarancón; Pablo Del Río. 2005. "Projection of input–output tables by means of mathematical programming based on the hypothesis of stable structural evolution." Economic Systems Research 17, no. 1: 1-23.
This paper provides an econometric analysis of the factors leading to environmental technology adoption in the pulp and paper industry in Spain. Three sets of interrelated factors influencing the widespread adoption of these technologies are considered: factors external to the firm, characteristics of the environmental technology and internal characteristics and conditions of the potential adopters. A multinomial logit model is applied to the pulp and paper sector in Spain to explain the role of those factors in the adoption of different environmental technology types. It is shown that this adoption does not depend on environmental regulation but rather on market and economic variables (i.e., cost savings and the exploitation of a green image).
Pablo Del Rio Gonzalez; Miguel Angel Tarancón Morán. A multinomial logit model of the factors influencing the adoption of environmental technologies in the pulp and paper sector in Spain. International Journal of Environmental Technology and Management 2005, 5, 319 .
AMA StylePablo Del Rio Gonzalez, Miguel Angel Tarancón Morán. A multinomial logit model of the factors influencing the adoption of environmental technologies in the pulp and paper sector in Spain. International Journal of Environmental Technology and Management. 2005; 5 (4):319.
Chicago/Turabian StylePablo Del Rio Gonzalez; Miguel Angel Tarancón Morán. 2005. "A multinomial logit model of the factors influencing the adoption of environmental technologies in the pulp and paper sector in Spain." International Journal of Environmental Technology and Management 5, no. 4: 319.