Utilities PolicyPub Date : 2025-08-15DOI: 10.1016/j.jup.2025.102031
Xinyi Liu , Jie Wang
{"title":"Motivating residents to save water based on the model of goal-directed behavior: Evidence from China","authors":"Xinyi Liu , Jie Wang","doi":"10.1016/j.jup.2025.102031","DOIUrl":"10.1016/j.jup.2025.102031","url":null,"abstract":"<div><div>Promoting residents' water-saving behavior (RWB) is critical for sustainable societal development. While scholars acknowledge the significant potential of the concept of motivation and make a clear distinction between it and intention, previous studies have primarily focused on residents' water-saving intentions and overlooked the pre-impact of water-saving motivation on water-saving behavior. To investigate the psychological determinants of RWB, this study applied the Model of Goal-Directed Behavior to examine the interplay among constructs, including motivation, intention, and actual water-saving practices. Adhering to stratified sampling principles, a hybrid sampling approach integrating random and snowball methods was utilized to gather data from 1184 questionnaires. The collected dataset underwent rigorous analysis using structural equation modeling to explore the theoretical relationships. Results reveal that subjective norms, anticipation, and cognition significantly enhance residents’ motivation to conserve water, whereas attitude exhibits no significant effect. Furthermore, motivation serves as a pivotal antecedent of both water-saving intention and behavior. Additionally, past behavior frequency and perceived behavioral control positively moderate the intention-behavior relationship, reinforcing the translation of intention into action. This study advances theoretical understanding of the psychological mechanisms underlying water conservation and offers practical insights for fostering sustainable behaviors across diverse sociocultural settings.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102031"},"PeriodicalIF":4.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-08-15DOI: 10.1016/j.jup.2025.102029
Fábio Retorta , João Mello , Clara Gouveia , Bernardo Silva , José Villar , Matteo Troncia , José Pablo Chaves-Ávila
{"title":"Local flexibility markets based on grid segmentation","authors":"Fábio Retorta , João Mello , Clara Gouveia , Bernardo Silva , José Villar , Matteo Troncia , José Pablo Chaves-Ávila","doi":"10.1016/j.jup.2025.102029","DOIUrl":"10.1016/j.jup.2025.102029","url":null,"abstract":"<div><div>Local flexibility markets are a promising solution to aid system operators in managing the network as it faces the growth of distributed resources and the resulting impacts on voltage control, among other factors. This paper presents and simulates a proposal for an intra-day local flexibility market based on grid segmentation. The design provides a market-based solution for distribution system operators (DSOs) to address near-real-time grid issues. The grid segmentation computes the virtual buses that represent each zone and the sensitivity indices that approximate the impact of activating active power flexibility in the buses within the zone. This approach allows DSOs to manage and publish their flexibility needs per zone and enables aggregators to offer flexibility by optimizing their resource portfolios per zone. The simulation outcomes allow for the assessment of market performance according to the number of zones computed and show that addressing overloading and voltage control through zonal approaches can be cost-effective and counterbalance minor errors compared to node-based approaches.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102029"},"PeriodicalIF":4.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-08-11DOI: 10.1016/j.jup.2025.102022
Tie Shi , Hanyi Chen , Junbing Xu , Xuebin Wang
{"title":"The effect of temperatures on household electricity consumption in northern China: Evidence from smart meters","authors":"Tie Shi , Hanyi Chen , Junbing Xu , Xuebin Wang","doi":"10.1016/j.jup.2025.102022","DOIUrl":"10.1016/j.jup.2025.102022","url":null,"abstract":"<div><div>This paper uses daily household electricity consumption data collected by smart electricity meters to estimate the short-run temperature response in Jiaozuo City, Henan Province. Estimates from the flexible temperature bin model indicate that, on average, residential electricity demand increases by 22.7 % or more at temperatures above 27 °C relative to the reference temperature bin. Holding all else constant, a 1.5 °C increase in average temperature under the CMIP5 scenario would lead to a 5.9 % increase in residential electricity use by mid-century. Our results, although most precise for Henan Province, are nevertheless sufficiently generalizable to northern China.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102022"},"PeriodicalIF":4.4,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-08-05DOI: 10.1016/j.jup.2025.102017
Adithya Bandari, Shubhajit Sadhukhan
{"title":"Variations in domestic water consumption in Hyderabad, India","authors":"Adithya Bandari, Shubhajit Sadhukhan","doi":"10.1016/j.jup.2025.102017","DOIUrl":"10.1016/j.jup.2025.102017","url":null,"abstract":"<div><div>The sixth Sustainable Development Goal (SDG) emphasizes the importance of universal access to water and sanitation, with a particular focus on ensuring an equitable daily water supply. We examine water consumption patterns in Hyderabad, India, with a focus on seasonal and spatial variations in daily per capita water consumption. The study employs one-sample t-tests and Classification and Regression Trees (CART) to investigate water consumption levels. A primary survey of 440 households was conducted in Hyderabad, divided into 31 circles. The perceived water usage data were collected from households to study consumption patterns. The study finds that the Service Level Benchmark (SLB) of 135 liters per capita per day (LPCD) for Indian cities corresponds to annual and winter averages at the household level. Significant variation from 135 LPCD was observed during the summer and rainy seasons in the surveyed households. Household characteristics, building characteristics, water sources, supply characteristics, coping mechanisms, appliances, and consumer behavior impact water consumption in households. The study highlights the need to consider seasonal demands and spatial scales (household, circle, and city levels) for effective water management. The findings indicate that the SLB of 135 LPCD corresponds to the water demands at larger spatial scales, such as the city and the circle. However, it has limited relevance at smaller spatial scales, such as the household level. The study helps to understand how per capita water consumption varies across seasons and spatial scales in an Indian city. The study of these spatial and seasonal consumption variations helps in the effective planning and implementation of water supply projects.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102017"},"PeriodicalIF":4.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-29DOI: 10.1016/j.jup.2025.102011
Mingyu Wu, Xuesong Guo, Yu Zhao
{"title":"Cascading social risks: A cross-spatial vulnerability analysis of atypical power system failures in China","authors":"Mingyu Wu, Xuesong Guo, Yu Zhao","doi":"10.1016/j.jup.2025.102011","DOIUrl":"10.1016/j.jup.2025.102011","url":null,"abstract":"<div><div>Atypical large-scale power failure (ALPF) has become more frequent within a risk society, highlighting the need to mitigate cross-spatial cascading risks in order to reduce losses and ensure public safety. This study develops a Cross-Spatial Vulnerability Model (CSVM) to analyse ALPF risks. It combines cascading risk and vulnerability theory with the bow-tie model, forming the basis of a Bayesian network for three ALPF cases in the China scenario, including summer heat and drought, winter cold waves, and coal price fluctuations. The analysis models complete Bayesian networks from official news, policy texts, and expert opinion sources, with three key findings. First, ALPFs can disproportionately impact economic stability, social stability, public health, and safety, with the probability of severe consequences being non-linearly related to the likelihood of ALPF events. Second, effective risk response to ALPFs requires focused attention on several key scenarios, such as delays in emergency response, outdated grid technologies, and restrictions on residential electricity consumption. Third, engineering and non-engineering measures should be integrated, with priority given to ensuring the proper functioning of social and livelihood systems. Unlike previous studies, we focus on the specificity of ALPF events, with a greater emphasis on a case-driven approach, shifting from the engineering and technical tendencies of previous studies to a comprehensive dimension. More consideration is given to the dynamic nature of risk.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102011"},"PeriodicalIF":4.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-22DOI: 10.1016/j.jup.2025.102013
Artur Santa Catarina, Gisele de Lorena Diniz Chaves
{"title":"Competitiveness of utility-scale solar photovoltaic power generation in Brazil from 2014 to 2022","authors":"Artur Santa Catarina, Gisele de Lorena Diniz Chaves","doi":"10.1016/j.jup.2025.102013","DOIUrl":"10.1016/j.jup.2025.102013","url":null,"abstract":"<div><div>This analysis examines the economic competitiveness of 194 photovoltaic power projects, based on data from energy auctions from 2014 to 2022, to provide an overview of the expected performance of these projects using the Levelized Cost of Energy (LCOE). The aim is to identify relevant trends for the development of renewable energy policies. Despite the evolution in the LCOE, we found that the energy prices are substantially lower than the LCOE, indicating that these projects are, on average, economically infeasible, raising concerns for policymakers.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102013"},"PeriodicalIF":3.8,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-21DOI: 10.1016/j.jup.2025.102012
Sakiru Adebola Solarin
{"title":"Convergence dynamics of urban and rural electricity access rates across African countries","authors":"Sakiru Adebola Solarin","doi":"10.1016/j.jup.2025.102012","DOIUrl":"10.1016/j.jup.2025.102012","url":null,"abstract":"<div><div>The objective of this study is to analyse the convergence of national electricity access rates in 51 African countries from 2000 to 2022. Moreover, we also assessed the convergence of urban and rural electricity access rates in Africa. The results reveal evidence for stochastic convergence of electricity access rates. The results also support the incidence of beta convergence and show that national output, population, and institutional quality facilitate the incidence of beta convergence of the electricity series. Sigma convergence analysis results also suggest the existence of convergence of electricity access rates.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102012"},"PeriodicalIF":3.8,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-21DOI: 10.1016/j.jup.2025.102010
Lorna Grace Okotto , Joseph Okotto-Okotto , Peggy Wanza , Jim Wright
{"title":"The impact of the delegated management model of urban piped service delivery on water quality in Kisumu, Kenya","authors":"Lorna Grace Okotto , Joseph Okotto-Okotto , Peggy Wanza , Jim Wright","doi":"10.1016/j.jup.2025.102010","DOIUrl":"10.1016/j.jup.2025.102010","url":null,"abstract":"<div><div>Delegated management (DMM) is a water service delivery model, whereby micro-operators financially and operationally manage underserved areas of a piped network. This post-hoc evaluation aimed to assess the impact of DMM on water safety. Kiosk and household stored water in DMM and matched control areas were tested for microbiological quality, showing comparable, substantial post-collection contamination. DMM increased household piped connections, reducing the need for household water storage and thereby post-collection contamination. However, DMM kiosk users remain exposed to recontaminated water. DMM remains a viable service delivery model, but other strategies are needed to address post-collection contamination of household stored water.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102010"},"PeriodicalIF":3.8,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-18DOI: 10.1016/j.jup.2025.102006
Leonardo Becchetti , Francesco Salustri
{"title":"Renewable energy communities and the ecological transition: A game theoretic bargaining approach","authors":"Leonardo Becchetti , Francesco Salustri","doi":"10.1016/j.jup.2025.102006","DOIUrl":"10.1016/j.jup.2025.102006","url":null,"abstract":"<div><div>Renewable energy communities (RECs) are considered a key initiative for ecological transition by international institutions and policymakers. In our article, we analyze how RECs enhance cooperation in ecological transition with a game-theoretic approach. Depending on specific conditions, the interaction among RECs members can be modeled through a Prisoner’s Dilemma or a game where cooperation is the only equilibrium. A REC creates incentives for cooperation through three primary revenue sources: cost savings from self-produced and consumed energy, surplus energy sales, and government incentives. We identify the combination of these factors that leads to a cooperative Nash equilibrium, where the dominant strategy for prosumers is to create a REC with passive consumers.</div><div>We further include bargaining in our model to explain how revenues are distributed between prosumers and passive consumers. Our results indicate that profit-sharing dynamics are influenced by factors such as self-consumption subsidies, energy pricing, and energy storage technology. Finally, we identify key policy parameters that influence REC viability, demonstrating that well-calibrated government incentives can significantly enhance participation and cooperation. Our study fills a gap in the literature by offering a formal strategic model that explains both the coordination mechanisms enabling successful REC formation and the bargaining processes that determine revenue distribution.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 102006"},"PeriodicalIF":3.8,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilities PolicyPub Date : 2025-07-14DOI: 10.1016/j.jup.2025.101994
Shaogang Chen, Zizhe Wang
{"title":"Modeling electricity demand in China based on macro and micro-level methods","authors":"Shaogang Chen, Zizhe Wang","doi":"10.1016/j.jup.2025.101994","DOIUrl":"10.1016/j.jup.2025.101994","url":null,"abstract":"<div><div>This study analyzes residential electricity demand in Chengdu from both micro and macro-level perspectives. Household survey data is used at the micro level to estimate demand functions and capture heterogeneity via corresponding random and fixed effect models and quantile regression. At the macro level, the Autoregressive Distributed Lag (ARDL) cointegration method examines the relationships between electricity demand, gross domestic product (GDP), and prices. Results show significant differences in price and income elasticity across households, and economic growth drives energy consumption. Combining macro and micro-level analyses helps better understand demand patterns and supports more effective policy decisions.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"96 ","pages":"Article 101994"},"PeriodicalIF":3.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}