Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Human activities are the primary source of energy consumption and CO2 emissions. Adopting low-carbon behaviors (LCBs) can effectively reduce carbon emissions, which in turn helps alleviate environmental problems. Previous research shows that low-carbon policies can promote LCBs, while an extensive understanding of the effects of multi-types of low-carbon policies on various LCBs needs to be verified. Analyses on influencing factors regarding LCBs are dominated before, and place attachment and low-carbon behavioral intention as the influencing factors of LCBs, their relationship with low-carbon policy and LCBs needs to be clarified. By taking a questionnaire survey of residents of Hangzhou, China, this study presents a conceptual framework capable of analyzing the relationship between three types of low-carbon policies, including information policy, economic policy, and administrative regulations, and two types of LCBs, including low-carbon consumption (LCCB) and travel (LCTB) behavior, considering the mediation effect of place attachment and low-carbon behavioral intention in a single structural equation model. The results illustrate that administrative regulations and information policy have a direct positive impact on LCCB, and information policy has the most significant influence. Economic policy and administrative regulations directly impact LCTB, and administrative regulations have the most significant influence. The influence of administrative regulations on LCTB is more excellent than on LCCB. Information policy indirectly affects two types of LCBs through the chain mediation effect of place attachment and low-carbon behavioral intention. The results should be helpful to low-carbon policymakers seeking to promote LCBs to consider the importance of place attachment and various low-carbon policies. Moreover, they enrich our understanding of the influencing mechanism of LCBs.
Human activities are the primary source of energy consumption and CO2 emissions. Adopting low-carbon behaviors (LCBs) can effectively reduce carbon emissions, which in turn helps alleviate environmental problems. Previous research shows that low-carbon policies can promote LCBs, while an extensive understanding of the effects of multi-types of low-carbon policies on various LCBs needs to be verified. Analyses on influencing factors regarding LCBs are dominated before, and place attachment and low-carbon behavioral intention as the influencing factors of LCBs, their relationship with low-carbon policy and LCBs needs to be clarified. By taking a questionnaire survey of residents of Hangzhou, China, this study presents a conceptual framework capable of analyzing the relationship between three types of low-carbon policies, including information policy, economic policy, and administrative regulations, and two types of LCBs, including low-carbon consumption (LCCB) and travel (LCTB) behavior, considering the mediation effect of place attachment and low-carbon behavioral intention in a single structural equation model. The results illustrate that administrative regulations and information policy have a direct positive impact on LCCB, and information policy has the most significant influence. Economic policy and administrative regulations directly impact LCTB, and administrative regulations have the most significant influence. The influence of administrative regulations on LCTB is more excellent than on LCCB. Information policy indirectly affects two types of LCBs through the chain mediation effect of place attachment and low-carbon behavioral intention. The results should be helpful to low-carbon policymakers seeking to promote LCBs to consider the importance of place attachment and various low-carbon policies. Moreover, they enrich our understanding of the influencing mechanism of LCBs.
There are about 47,000 hotels in the United States that spend an average of $2200 per room on energy annually. Studies found that hotel guests’ energy consumption behavior is one of the key reasons that affects hotel buildings’ energy consumption. However, there has been little research study that provides efficient energy-use reduction interventions based on guests’ energy-related behavior in hotel buildings. To address this research gap, this research study aims to develop an integrated energy-use framework in four steps: (1) integrating four energy-related behavior models (i.e., Motivation-Opportunity-Ability, Norm Activation Model, Theory of Planned Behavior, and Pro-environmental Behavior); (2) developing a set of hypotheses and their relevant measures to examine the relationship between the energy-related behavior models and hotel guests’ energy-use behavior; (3) conducting an energy-use survey to analyze the effect of each determined measure on hotel guests’ energy-use behavior; (4) analyzing the energy behavior data to identify energy-use behavior of hotel guests in hotel buildings; (5) analyzing the energy behavior data to identify energy-use profiles (i.e., Prone, Indifferent, or Resistant to Change) of hotel guests in hotel buildings. In this study, Prone to Change refers to good energy consumption behavior, Indifferent to Change refers to moderate energy consumption behavior, and Resistant to Change refers to bad or dark energy consumption behavior. From the energy-use survey, 370 responses were collected. Then, the 370 responses were analyzed to identify the energy-use profiles of hotel guests. The results from the analysis indicated that 168 out of 370 (45%) respondents have Resistant to Change energy-use profile, 146 out of 370 (40%) respondents have Indifferent to Change energy-use profile, and 56 out of 370 (15%) respondents have Prone to Change energy-use profile. The findings can provide decision-makers in hospitality industry with a better understanding of their guests’ energy-related behavior; and accordingly develop effective interventions to reduce energy consumption in hotel buildings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.