Change the Mental Model, Change the Behavior: Using Interface Design to Promote Appropriate Energy Consuming Behavior in the Home

Revell, Kirsten M. A.; Stanton, Neville A.

doi:10.1007/978-3-319-41983-1_69

Cited by 3 publications

(2 citation statements)

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“…First, basic household characteristics, including household size, age, gender, and education level, etc., have been proven to have significant impacts on the energy consumption needs and choices of farmers [22][23][24][25][26][27][28], followed by household economic characteristics, particularly household income. For example, some studies found that household income can significantly promote the conversion of household cooking energy [29][30][31][32][33][34][35][36]. The "energy ladder" theory suggests that, as income rises, the consumption of clean energy for household cooking will change along the "energy ladder", moving from biomass to commodity energy [30].…”

Section: Introductionmentioning

confidence: 99%

“…For example, some studies found that household income can significantly promote the conversion of household cooking energy [29][30][31][32][33][34][35][36]. The "energy ladder" theory suggests that, as income rises, the consumption of clean energy for household cooking will change along the "energy ladder", moving from biomass to commodity energy [30]. Other studies suggest that income does not affect the choice of clean energy consumption for household cooking as much as the "energy ladder" model assumes, suggesting that biomass consumption has significant "Giffen" commodity characteristics, i.e., consumption decreases as income increases [31,32].…”

Section: Introductionmentioning

confidence: 99%

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Labor Off-Farm Employment and Farmers’ Cooking Clean Energy Use: Evidence from Rural China

et al. 2022

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(Motivation) With the transfer of labor force and the continuous improvement of household income, the household energy consumption structure is also changing. (Gaps) However, few studies have explored the correlations between labor off-farm employment (LOE) and farmers’ cooking clean energy (CCE) consumption. (Methodologies) Using survey data of 8198 farmers in 27 provinces from China’s labor dynamic survey in 2016, the IV-Probit model was used to analyze the impact of LOE on CCE use, and the mediation effect model was used to examine the specific mechanism of action between them. (Results) The results found that: (1) LOE accounted for about 39%, and farmers’ utilization rate of CCE accounted for 40%. (2) LOE has significantly promoted the use of CCE by farmers, and this action mechanism is mainly realized through three paths, that is, per capita annual cash income, social relationship network, and family population structure. (3) The heterogeneity analysis results showed that the head of the household having a university education or above, the family being located in rural areas and mountainous areas, and LOE will have a greater positive impact on the farmers’ CCE use. (Policy) From the micro perspective of LOE, this study can deepen our understanding of LOE and CCE use decisions, and then provide a reference for the rational allocation of labor resources and farmers’ CCE-related policy formulation.

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