Impact of social comparison on preferences for Demand Side Management in Poland

Gołębiowska, Bernadeta; Bartczak, Anna; Budziński, Wiktor

doi:10.1016/j.enpol.2020.112024

Cited by 15 publications

(3 citation statements)

References 64 publications

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“…Both upstream and midstream farmers have negative willingness to be compensated for the compensation years. This means that the amount of compensation does not increase, and farmers also expect to extend the compensation years to increase the farmers’ income [ 71 ]. In terms of livestock and poultry breeding, the amount of compensation expected by upstream farmers every month is RMB 55.36, which is about 1.5 times that of the midstream.…”

Section: Resultsmentioning

confidence: 99%

Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China

Hui

Jin

et al. 2022

IJERPH

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The concept of watershed ecological compensation is one payment for ecosystem services (PES) program that incentivizes stakeholders undertake environmental conservation activities that improve the provision of ecosystem services. Defining the heterogeneity of farmers’ willingness to participate in watershed ecological compensation is critically important for fully understanding stakeholders’ demands. Accordingly, we designed a choice experiment survey to analyze the heterogeneity of policy preferences and willingness to receive compensation between upstream and midstream farmers in Xin’an River basin, China. Moreover, we simulated the impact of farmers’ social capitals’ heterogeneity with an agent-based model. The results show that there are significant differences in the preferences of agricultural waste recycling rate and agricultural water quality between farmers in the upstream and midstream. The total willingness of farmers in the upstream and midstream to participate in ecological compensation are RMB 149.88 (USD 22.54)/month and RMB 57.40 yuan (USD 8.63)/month, respectively. Social network size has a negative effect on farmers’ willingness to participate the programs. Our findings suggest that the characteristics of farmers’ influence their willingness to participate in the PES program. The results of this research can be used to improve PES management policies in the future, as well as to support sustainable environmental development and rural revitalization.

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Section: Resultsmentioning

confidence: 99%

Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China

Hui

Jin

et al. 2022

IJERPH

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“…Another factor that can be used to bring private consumers to apply demand side measures is the appeal to norms. In this context, aspects such as environmental concern are tested to enable load-shifting (and other energy conservation behaviors) among end users with mixed results on the actual efficacy of such measures (see, e.g., in [27][28][29]). In line with this rather psychological approach, Frederiks et al [30] explained energy consumption behavior with biased perception, consumer heuristics, and other irrational inclinations.…”

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Study of How Household Energy Consumption Is Affected by Co-Owning Different Technological Means to Produce Renewable Energy and the Production Purpose

2021

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The transition from fossil fuel-based to renewable energy sources is one of the main economic and social challenges of the early 21st century. Due to the volatile character of wind and solar power production, matching supply and demand is essential for this transition to be successful. In this context, the willingness of private consumers to use energy flexibly has gained growing attention. Research indicates that a viable driver to motivate consumers to be demand flexible is to make them (co-)owners of renewable energy production facilities. However, existing research has only analyzed this question from an aggregated perspective. This article analyses whether behavioral changes triggered by (co-)ownership in renewables differ according to the type of installation; be it solar, wind, or bioenergy. In addition, the prosumption options self-consumption/self-consumption and sale/sale are considered. To do so, we collected 2074 completed questionnaires on energy consumption that entered an econometric model using propensity score matching to control for estimation biases. We find significant differences in the willingness to consume electricity in a flexible manner for (co-)owners of solar installations. However, only the usage of household appliances proves to be statistically significant (p-value = 0.04). Furthermore, the results show that within the group of (co-)owners of solar installation, the choice between self-consumption and sale of the produced energy has a significant effect on the inclination to become demand flexible (p-value ≤ 0.001; p-value = 0.003).

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“…Q the residual value rate of fixed assets. However, most of the above literature considers DR with a single strategy, they did not consider the uncertainties of DR. Works in [13] show that in a liberalized environment, whether the users are willing to participate in DR depends on a wide range of factors, such as incentive rate, education level, and personal preference. A probabilistic modeling method was proposed in [14] to optimize DR and improve network reliability.…”

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confidence: 99%

A collaborative planning model of IES containing EHs and multi-energy grids under the premise of demand response as well as wind power uncertainty

Feng,

Liu,

Ding

et al. 2024

Preprint

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The proliferation of renewable energy resources brings opportunities as well as new challenges to the planning and operations within integrated energy systems (IES). To make full use of the complementary transformation characteristics between energy sources, while ensuring higher flexibility, reducing wind power curtailment and cost minimization, this paper presents a collaborative planning study of IES with energy hubs (EHs) and multi-energy grids considering demand response (DR) and wind power uncertainty. We introduced Z-number into these uncertainty variables and translated them into quantifiable values. thus reflecting the actual state of this system better. Our optimization model includes EH models which decide the selection and capacity determination of energy conversion and energy storage components. In addition outside the EHs, conventional generator dispatches, and the hardening of electric-gas grid decisions are also included. Finally, the model is verified on an improved Graver-6 bus IES, and numerical results validate that an increased DR and wind power credibility can be conducive to reducing wind curtailment with 45KW and help cost-savings with 4.05%.

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Impact of social comparison on preferences for Demand Side Management in Poland

Cited by 15 publications

References 64 publications

Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China

Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China

An Empirical Study of How Household Energy Consumption Is Affected by Co-Owning Different Technological Means to Produce Renewable Energy and the Production Purpose

A collaborative planning model of IES containing EHs and multi-energy grids under the premise of demand response as well as wind power uncertainty

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