Which farmers adopt solar energy? A regression analysis to explain adoption decisions over time
暂无分享,去创建一个
[1] Nathan Tetteh,et al. Determinants of Rooftop Solar PV adoption among Urban Households in Ghana , 2022, Renewable Energy Focus.
[2] J. K. Nayak,et al. A Meta-Analysis of TPB Model in Predicting Green Energy Behavior: The Moderating Role of Cross-Cultural Factors , 2022, Journal of International Consumer Marketing.
[3] C. Yamu,et al. Regionalization of a national integrated energy system model: A case study of the northern Netherlands , 2022, Applied Energy.
[4] T. Bruckner,et al. A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance , 2021, Energy Research & Social Science.
[5] Oz Sahin,et al. Residential solar photovoltaic adoption behaviour: End-to-end review of theories, methods and approaches , 2021, Renewable Energy.
[6] P. van Beukering,et al. Determinants of energy efficiency in the Dutch dairy sector: dilemmas for sustainability , 2021 .
[7] Jieqiong Wang,et al. Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China , 2021 .
[8] Lu Wang,et al. Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China , 2021 .
[9] T. Filatova,et al. Growing community energy initiatives from the bottom up: Simulating the role of behavioural attitudes and leadership in the Netherlands , 2020, Energy Research & Social Science.
[10] Shahzad Alvi,et al. How does one motivate climate mitigation? Examining energy conservation, climate change, and personal perceptions in Bangladesh and Pakistan , 2020 .
[11] A. Palm. Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics , 2020 .
[12] Boqiang Lin,et al. Slow diffusion of renewable energy technologies in China: An empirical analysis from the perspective of innovation system , 2020 .
[13] Patrick Baur. When farmers are pulled in too many directions: comparing institutional drivers of food safety and environmental sustainability in California agriculture , 2020, Agriculture and Human Values.
[14] F. Verheij,et al. Effect afbouw salderingsregeling op de terugverdientijd van investeringen in zonnepanelen , 2020 .
[15] P. van Beukering,et al. A new approach to explain farmers’ adoption of climate change mitigation measures , 2019, Climatic Change.
[16] Bo Xing,et al. Quantifying the rebound effects of residential solar panel adoption , 2019, Journal of Environmental Economics and Management.
[17] H. Boudet,et al. Public perceptions of and responses to new energy technologies , 2019, Nature Energy.
[18] Omkar Aphale,et al. A clean energy assessment of early adopters in electric vehicle and solar photovoltaic technology: Geospatial, political and socio-demographic trends in New York , 2019, Journal of Cleaner Production.
[19] Fan Yang,et al. An empirical analysis of county-level residential PV adoption in California , 2019, Technological Forecasting and Social Change.
[20] Jiafan Yu,et al. DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States , 2018, Joule.
[21] Noriatsu Matsui,et al. Do determinants of adopting solar home systems differ between households and micro-enterprises? Evidence from rural Bangladesh , 2018, Renewable Energy.
[22] Masoud Yazdanpanah,et al. Cleaner and greener livestock production: Appraising producers' perceptions regarding renewable energy in Iran , 2018, Journal of Cleaner Production.
[23] Lucia Baur,et al. Diffusion of photovoltaic technology in Germany: A sustainable success or an illusion driven by guaranteed feed-in tariffs? , 2018 .
[24] M. Pasqualetti,et al. Dual use of agricultural land: Introducing ‘agrivoltaics’ in Phoenix Metropolitan Statistical Area, USA , 2018 .
[25] Anna Bergek,et al. Motives to adopt renewable electricity technologies: Evidence from Sweden , 2017 .
[26] Jinlin Xue,et al. Photovoltaic agriculture - New opportunity for photovoltaic applications in China , 2017 .
[27] Md. Abdul Hai,et al. Results of intention-behaviour gap for solar energy in regular residential buildings in Finland , 2017 .
[28] Kimberly S. Wolske,et al. Explaining interest in adopting residential solar photovoltaic systems in the United States: Toward an integration of behavioral theories , 2017 .
[29] Sebastian Seebauer,et al. Money, not morale: The impact of desires and beliefs on private investment in photovoltaic citizen participation initiatives , 2017 .
[30] Samdruk Dharshing. Household dynamics of technology adoption: A spatial econometric analysis of residential solar photovoltaic (PV) systems in Germany , 2017 .
[31] Laurie Buys,et al. Influence of demographic variables on uptake of domestic solar photovoltaic technology , 2017 .
[32] P. Sheeran,et al. The Intention–Behavior Gap , 2016 .
[33] Peter Wolfs,et al. A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures , 2016 .
[34] Christian Breyer,et al. On the role of solar photovoltaics in global energy transition scenarios , 2016 .
[35] Johannes Rode,et al. Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany , 2016 .
[36] A. Palm. Local factors driving the diffusion of solar photovoltaics in Sweden: A case study of five municipalities in an early market , 2016 .
[37] Xiaoyu Liu,et al. More than two decades of climate change alarm: Farmers knowledge, attitudes and perceptions , 2015 .
[38] A. Hidalgo,et al. Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany , 2015 .
[39] Ulf J. J. Hahnel,et al. Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers , 2015 .
[40] Véronique Vasseur,et al. The adoption of PV in the Netherlands: A statistical analysis of adoption factors , 2015 .
[41] T. Stoerk,et al. From intention to action: Can nudges help consumers to choose renewable energy? , 2014 .
[42] Chelsea Schelly. Residential solar electricity adoption: What motivates, and what matters? A case study of early adopters , 2014 .
[43] Antonio Hidalgo,et al. Diffusion of eco-innovations: A review , 2014 .
[44] Xingwu Wang,et al. Farmers' willingness to convert traditional houses to solar houses in rural areas: A survey of 465 households in Chongqing, China , 2013 .
[45] Alfred Posch,et al. Photovoltaics in agriculture: A case study on decision making of farmers , 2013 .
[46] T. Lemaire,et al. Photovoltaic energy policy: Financial estimation and performance comparison of the public support in five representative countries , 2012 .
[47] L. Steg,et al. Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework , 2012 .
[48] I. Ajzen. The theory of planned behaviour: Reactions and reflections , 2011, Psychology & health.
[49] J. Nolan,et al. “An Inconvenient Truth” Increases Knowledge, Concern, and Willingness to Reduce Greenhouse Gases , 2010 .
[50] G. Whitwell,et al. Why Ethical Consumers Don’t Walk Their Talk: Towards a Framework for Understanding the Gap Between the Ethical Purchase Intentions and Actual Buying Behaviour of Ethically Minded Consumers , 2010 .
[51] P. Stern. New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior , 2000 .
[52] Robert M. Groves,et al. UNDERSTANDING THE DECISION TO PARTICIPATE IN A SURVEY , 1992 .
[53] I. Ajzen. The theory of planned behavior , 1991 .