Why are Californian farmers adopting more (and larger) renewable energy operations?

Beckman, Jayson; Xiarchos, Irene M.

doi:10.1016/j.renene.2012.10.057

Cited by 43 publications

(44 citation statements)

References 22 publications

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“…how many solar panels to install vis a vis how many EVs to buy, is left to future research. This choice is supported by past research which has shown that the choice to adopt PV is systematically different from the scale of PV adoption (Beckman and Xiarchos, 2013;Wang et al, 2017). The marginal effect of explanatory variables on adoption probabilities, estimated via probit models in (7), are given in Table 4.…”

Section: Predictors Of Pv and Ev Adoptionsupporting

confidence: 57%

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Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles

et al. 2019

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Photovoltaic (PV) units and electric vehicles (EVs) are two household goods that are the focus of much research, and many policy initiatives attempting to promote a more sustainable, low-carbon energy system. Despite both academic and practical interest in household adoption of PV units and EVs, potential linkages in these household decisions have only just begun to be explored. This paper presents q-complementarity between the goods as one possible form of a linkage between PV and EV purchases that is based on economic utility theory.We posit the goods could be q-complements due to a PV-owning household's ability to offset and shift their electricity load from EV charging to increase the self-consumption of 'home-made' electricity, thereby increasing the positive feelings of environmental efficacy and monetary returns from the PV unit. We use data from 2,541 internet surveys of Austrian residential electricity customers collected in 2018 to explore these hypotheses. Probit models of household EV and PV adoption choice are estimated, including a recursive bivariate probit model of households who plan to purchase an EV in the future, with PV ownership endogenously determined. Controlling for household income, characteristics, environmental attitudes, and neighborhood characteristics, we find that EV and PV adoption are positively correlated, and that current PV unit owners are 18% more likely to plan an EV purchase in the next 5 years compared to non-PV owners. We interpret these results as evidence in support of our hypothesis of q-complementarity between PV units and EVs, and note the potential for added benefits from incentive policies promoting adoption of one good or the other that this linkage suggests.

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Section: Predictors Of Pv and Ev Adoptionsupporting

confidence: 57%

“…However, we abstract from the capacity decision and just focus on the binary choice to adopt. This method is supported by past research that showed adoption and capacity were distinct choices in the case of California farmer's adoption decisions (Beckman and Xiarchos, 2013), and in the case of solar water heaters (Wang et al, 2017).…”

Section: Theoretical Modelmentioning

confidence: 70%

Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles

et al. 2019

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“…Similar benefits have been demonstrated with wind developments on agricultural lands (Holmes and Papay 2011;Beckman and Xiarchos 2013). Depending on solar installation height and spacing, crops that are shade tolerant and low height may become suitable for production in an area, opening new markets for agricultural producers.…”

Section: Benefits To Land-use Activities and Agriculturementioning

confidence: 65%

Overview of Opportunities for Co-Location of Solar Energy Technologies and Vegetation

Macknick

Beatty

Hill

2013

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Large-scale solar facilities have the potential to contribute significantly to national electricity production. Many solar installations are large-scale or utility-scale, with a capacity over 1 MW and connected directly to the electric grid. Large-scale solar facilities offer an opportunity to achieve economies of scale in solar deployment, yet there have been concerns about the amount of land required for solar projects and the impact of solar projects on local habitat. During the site preparation phase for utility-scale solar facilities, developers often grade land and remove all vegetation to minimize installation and operational costs, prevent plants from shading panels, and minimize potential fire or wildlife risks. However, the common site preparation practice of removing vegetation can be avoided in certain circumstances, and there have been successful examples where solar facilities have been co-located with agricultural operations or have native vegetation growing beneath the panels. In this study we outline some of the impacts large-scale solar facilities can have on the local environment, provide examples of installations where impacts have been minimized through co-location with vegetation, characterize the types of colocation, and give an overview of the potential benefits from co-location of solar energy projects and vegetation. The varieties of co-location can be replicated or modified for site-specific use at other solar energy installations around the world. We conclude with opportunities to improve upon our understanding of ways to reduce the environmental impacts of large-scale solar installations. v This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.

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“…prices of inputs, price of electricity, regional policies (funding). Starting with the schemes proposed by Beckman and Xiarchos [8] and Ge et al [9], the determinants identified in the previous contributions can be classified into factors linked to the person in charge of the farm, the factors of the farm and socio-economic factors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are previous works that have proven that the degree of involvement of farms in the generation of renewable energy, in their different types, depends upon a series of determining factors related to farm characteristics, such as size and legal status, personal characteristics of the person in charge of the holding, or its business characteristics [8,9]. However, the incidence of certain determinants at a regional level has not obtained the same attention in literature, despite its relevance [10].…”

Section: Introductionmentioning

confidence: 99%

The Role of Regional Determinants in the Deployment of Renewable Energy in Farms. The Case of Spain

Ruiz-Fuensanta¹,

Gutiérrez-Pedrero²,

Tarancón³

2019

Sustainability

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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.Farmers", the estimated contribution of farms in the production of renewable energy could amount to 25% of total renewable energy generated.Another noteworthy fact is that more than three quarters of the energy consumed in agriculture comes from fossil fuels, a percentage only surpassed by the Transport sector. That is why the agricultural sector plays an important role in the European transition strategy towards an energy system based upon renewable energy. This circumstance is evident in the incentives to diversify farm activity through the production of this type of energy [3][4][5]. For example, the Renewable Energy Plan for Spain 2011-2020 includes various proposals to encourage the use of renewable energies in agricultural holdings, such as photovoltaic, low power wind energy, or geothermal energy for application in greenhouses and the heating of floors. Moreover, in the National Integrated Energy and Climate Plan [6], it is expected that the presence of renewable energy in the agricultural sector will increase from 94 to 278 kilotonnes of oil equivalent (ktep) over the period 2021-2030. There are four main types of sources established in the agricultural sector: Bio, solar, wind and geothermal energy [7]. It is not easy to make a detailed estimate of the mix of renewable energy production specific to the agricultural sector. In this regard, Pedroli & Langeveld [2] estimate energy production from farms in the EU in 2008, for two alternative scenarios in 2020: One consistent with the national renewable energy plans (NREAPs), and another in which the scenario is modified, based on the NREAPs to take into account additional stimulus measures for the deployment of renewable energies designed from the specific characteristics of the farms in each country (NREAPs +). The structures derived from the three cases are shown in Table 1:

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Why are Californian farmers adopting more (and larger) renewable energy operations?

Cited by 43 publications

References 22 publications

Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles

Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles

Overview of Opportunities for Co-Location of Solar Energy Technologies and Vegetation

The Role of Regional Determinants in the Deployment of Renewable Energy in Farms. The Case of Spain

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