Which farmers adopt solar energy? A regression analysis to explain adoption decisions over time

Moerkerken, Albert; Duijndam, Sem; Blasch, Julia; Beukering, P.J.H. van; Well, Erik van

doi:10.1016/j.ref.2023.04.001

Cited by 7 publications

(4 citation statements)

References 48 publications

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“…Alderete Peralta et al, 2022;Balta-Ozkan et al, 2015;Collier et al, 2023;Snape, 2016), but there are also studies investigating inter alia China (Zhao et al, 2017), Australia (Lan et al, 2020;Li et al, 2023;Zander, 2021), Switzerland (Baranzini et al, 2018;Thormeyer et al, 2020), Japan (Zhang et al, 2011), Sweden (Mundaca and Samahita, 2020;Palm, 2017Palm, , 2016Palm and Lantz, 2020), and Belgium (Groote and Verboven, 2019). Further, there are various strands of literature in this field, of which research on regional spillovers and spatial dependencies in technology diffusion (e.g., Copiello and Grillenzoni, 2017;Curtius et al, 2018), as well as on the sociodemographic and economic characteristics of PV adopters (e.g., Dharshing, 2017;Moerkerken et al, 2023;Zhang et al, 2023b) are most important to our study.…”

Section: Literature Reviewmentioning

confidence: 99%

Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany

Stein,

Sieger,

Weber

2023

SSRN Journal

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Section: Literature Reviewmentioning

confidence: 99%

Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany

Stein,

Sieger,

Weber

2023

SSRN Journal

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“…In addition, the assessment of solar energy adoption in agricultural practices has been explored. This analysis involved gathering local perceptions and samples of GHI to evaluate the significance of solar energy in achieving higher returns [34]. Moreover, the analysis of urban morphology indicators for on-site solar energy assessment has been conducted.…”

Section: Introductionmentioning

confidence: 99%

Regressive and Spatio-Temporal Accessibility of Variability in Solar Energy on a Short Scale Measurement in the Southern and Mid Region of Mozambique

Mucomole,

Silva,

Magaia

2024

Energies

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Solar energy reaching a horizontal surface can possess fluctuations that impact electricity generation at a solar plant. Despite this, energy access remains inadequate, particularly in rural areas, with an estimated 82% deficiency. This drives us to assess the regressive and spatial-temporal accessibility of solar energy in the southern and mid regions of Mozambique. This evaluation aims to determine the actual availability of energy for electrification purposes. Data on global horizontal irradiation from approximately 8 stations across all provinces in the specified regions, collected between 2012 and 2014 at intervals of 1 and 10 min, were analyzed using regression and correlation methods along with a specialized algorithm for classifying days based on clear sky index terms. The statistical analysis identified days with significant potential for energy accessibility, exceeding 50% of the average. The findings suggest a correlation coefficient of approximately 0.30 for energy and non-linear regression with clear sky index coefficients around 0.80. The method employed demonstrated accuracy when compared to theoretical simulations of the clear sky index in the region, indicating its potential applicability in other regions of interest.

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“…Measured as the average of six statements following the Abbreviated Place Attachment Scale(Boley et al, 2021). The six statements are: You are very attached to your neighborhood Your neighborhood is very special to you You identify strongly with your neighborhood Your neighborhood is the best place for what you like to do No other place can compare to your neighborhood You would not substitute any other area for the activities you do in your neighborhoodAnswer options of all statements range between (0) Totally disagree to(10) Totally agree.Risk preferencesHow do you see yourself? Are you generally a person who is fully prepared to take risks or do you try to avoid taking risks?…”

mentioning

confidence: 99%

“…Please answer on a scale from 0 to 10, where 0 means 'not at all willing to take risks' and 10 means 'very willing to take risks'. Answer options range from (0) Not at all willing to take risks to(10) Very willing to take risks.…”

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confidence: 99%

Floods of movement

Duijndam

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Climate change and associated sea-level rise are expected to increase flood risk in many regions, impacting millions of people by impairing human safety and causing damage to agriculture, properties, and critical infrastructure. Migration to safer areas is one way for people to adapt to flood risk and presents an enormous policy challenge given the number of people affected. The main goal of this Thesis is to conduct novel empirical research to better understand the factors driving migration in different contexts. These empirical insights are critical for anticipatory policymaking and management of flood-induced migration, for improving migration forecasting, and for guiding vulnerability and resilience in the face of climate change. The first research chapter of this dissertation presents a systematic literature review that examines the existing (quantitative) empirical literature on how migration behavior is shaped by flood risk and other sea-level rise-related hazards. It reveals that existing empirical research finds mixed effects for the influence of flooding on migration. Floods sometimes decrease migration in lower-income contexts, possibly due to the financial resource depletion that they cause. The chapter also outlines a comprehensive research agenda for future research on the topic. A main limitation of existing empirical studies on flood risk and migration is that they focus on the influence of past flood events. Although learning from the past gives us important insights, the dynamics of migration and its drivers are likely to change considerably under increased flood risk from climate change and sea-level rise. Consequently, we miss a solid empirical understanding of migration under increased flood risk. To address this research gap and fulfill the main goal of this dissertation, the second, third, and fourth research chapters of this dissertation present empirical research on drivers of migration under increased flood risk, each contributing in their own way to key research gaps in the literature. In the research presented in these chapters, originally collected household survey data are analyzed from close to 5,000 respondents from six different countries with varying socio-economic contexts worldwide (Vietnam, The Netherlands, Argentina, France, Mozambique and the United States). Some universal findings on migration under increased flood risk are found in these chapters. First, migration intentions are lower in the lower/middle-income countries studied than in higher-income countries. Second, in all six researched case studies, migration intentions increased considerably under scenarios of increased flood risk. Third, the large majority of respondents, more than 90% in all studied countries, report that they would migrate internally within country borders instead of internationally. Fourth, the implementation of in-situ adaptation measures, another sensible approach for households to protect themselves against increased flood risk, is generally (strongly) associated with lower migration intentions. The three chapters also provide specific findings. Chapter 2 studies migration under increased flood risk in a context of vulnerable coastal livelihoods in Vietnam showing that social capital as well as past experiences during flooding such as evacuation and receiving aid are strong predictors of migration intentions. Chapter 3 compares drivers of migration and in-situ adaptation in a context of unique extreme flood experience in the Netherlands, showing that in-situ adaptation is mostly related to cognitive factors whereas migration is driven by flood-related emotions. Personal flood experience drives both behaviors. Finally, Chapter 4 provides a unique comparative study on migration under increased flood risk, researching determinants of migration under different flood risk scenarios in Argentina, France, Mozambique, and the United States. Our results have important implications for policy. Besides others, this Thesis discusses how policymakers should anticipate and plan for increased migration from flood risk, consider supporting in-situ flood adaptation to reduce migration needs, and incorporate that migration behavior is context-specific.

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Which farmers adopt solar energy? A regression analysis to explain adoption decisions over time

Cited by 7 publications

References 48 publications

Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany

Disentangling Small-Scale Solar Photovoltaic Adoption: A Spatial Analysis of Decision Factors and Localized Interactions in Germany

Regressive and Spatio-Temporal Accessibility of Variability in Solar Energy on a Short Scale Measurement in the Southern and Mid Region of Mozambique

Floods of movement

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