Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province

By Lei Zhang, Yang Wu. 2012

137 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China (2018, background): “[58] Mlogit model Gender, age, occupation, education, house income, and location Attributeoriented Varying willingness to pay for green electricity across customers with different demographic variables Benítez et al.”
Reviewing Usage, Potentials, and Limitations of Renewable Energy Sources (2020, background): “In China, according to Zhang and Wu [52], most of the responders are willing to pay for green electricity, and the mean payment ranged from 7.”
Green Returns to Education: Does Schooling Contribute to Pro-Environmental Behaviours? Evidence from Thailand (2017, background): “…association between education and willingness to pay higher taxes or prices for environmental protection, emissions reduction policy and renewable energy (Bigerna and Polinori 2014; Franzen and Vogl 2013; Ivanova and Tranter 2008; Kotchen et al. 2013; Zhang and Wu 2012; Zorić and Hrovatin 2012).”
Consumers’ Willingness to Pay for Renewable Energy: A Meta-Regression Analysis (2015, background): “…Australia International Journal of Renewable Energy Research 3 25 Kim et al. 2012 South Korea Renewable and Sustainable Energy Reviews 3 26 Zhang and Wu 2012 China Energy Policy 1 27 Kaenzig et al. 2013 Germany Energy Policy 2 28 Kontogianni et al. 2013 Greece Energy Policy 4 29 Kosenius…”