scholarly journals Household Waste Separation Intentions in Mongolia: Persuasive Communication Leads to Perceived Convenience and Behavioral Control

2021 ◽  
Vol 13 (20) ◽  
pp. 11346
Author(s):  
Yeneneh Tamirat Negash ◽  
Abdiqani Hassan ◽  
Bayarjargal Batbaatar ◽  
Pei-Kuan Lin
Keyword(s):  
Hierarchical Structure ◽  
Environmental Attitudes ◽  
Behavioral Control ◽  
Policy Implications ◽  
Persuasive Communication ◽  
Household Waste ◽  
Fuzzy Decision Making ◽  
Municipal Solid Waste Management ◽  
Fuzzy Delphi ◽  
Waste Separation

This study contributes by developing a set of household waste separation (HWS) attributes to address waste mishandling and to enhance waste separation intentions in households. In Mongolia, a lack of waste separation at the household level needs to be addressed to improve municipal solid waste management systems. However, prior studies have not established attributes in a hierarchical structure, nor do they understand their cause-effect interrelationships. First, the fuzzy Delphi method (FDM) was used to screen out the unnecessary attributes in qualitative information. The fuzzy decision-making trial and evaluation laboratory (FDEMATEL) was then applied to understand the hierarchical structure of the attributes and their cause-effect interrelationships. The study identifies a valid set of attributes consisting of five aspects and 17 criteria under uncertainties. A hierarchical framework consisting of environmental attitudes, social norms, perceived behavioral control, perceived convenience, and persuasive communication is provided. The findings reveal that persuasive communication and environmental attitudes are causal group aspects. Furthermore, persuasive communication has a strong causal impact and higher importance in improving HWS intentions, and it leads to perceived convenience and behavioral control. For policymakers, credibility of information, knowledge and information, awareness of consequences, willingness to sort, and perceived policy effectiveness are the key causal criteria for enhancing HWS intentions. Theoretical and practical policy implications are discussed.

scholarly journals Waste Separation Intention of China’s Urban Residents and its Influencing Factors

2020 ◽  
Keyword(s):  
Influencing Factors ◽  
Positive Impact ◽  
Behavioral Control ◽  
Situational Factors ◽  
Household Waste ◽  
Ecological Environment ◽  
Urban Residents ◽  
Perceived Behavioral Control ◽  
Urban Household ◽  
Waste Separation

<p>Urban household waste causes serious pollution of the urban ecological environment. Waste separation and processing is an effective approach to reduce the ecological environment damage caused by household waste. From the perspective of the source of urban household waste separation, this paper investigates the influencing factors of the willingness of urban residents to separate household waste based on the theory of planned behavior. Through regression analysis, it was found that: Firstly, waste separation attitude, waste separation cognition, subjective norm, perceived behavioral control, and situational factors have significant positive impacts on the willingness of urban residents to separate waste, and the degrees of these impacts show a decreasing order; Secondly, the willingness to separate waste has a significant positive impact on the implementation of urban residents’ actions to separate waste.</p>

scholarly journals Factors influencing on residents’ household waste separation behavioral intention: Evidence from Ho Chi Minh City, Vietnam

2021 ◽  
Vol 11 (1) ◽  
pp. 122-135
Author(s):  
Tran Pham Khanh Toan
Keyword(s):  
Behavioral Intention ◽  
Negative Impact ◽  
Behavioral Control ◽  
Household Waste ◽  
Ho Chi Minh City ◽  
Perceived Behavioral Control ◽  
Factors Influencing ◽  
Pilot Programs ◽  
Control Knowledge ◽  
Waste Separation

Household solid waste has become a serious problem in Ho Chi Minh City, Vietnam over the last 10 years, resulting in significant side effects on the environment. Although various programs of waste separation at source have been deployed, they have stopped at the level of the pilot - programs and have generally not been replicable. Based on the theory of planned behavior (TPB), this study was examined the key factors influencing waste separation behavioral intention of residents in Ho Chi Minh City (HCMC), Vietnam’s economic center. By using SPSS 20.0 software for the sample size of 487 residents, the regression models are used to process and explain data. The research detects six factors, namely Attitude towards waste separation; Social norms; Perceived behavioral control; Knowledge about waste separation; Laws and regulations; Propaganda that significantly directly affected residents ‘behavioral intention, Knowledge about waste separation being the strongest construct significantly to predict individuals’ intention. Of the six above-listed constructs, only Perceived behavioral control had a negative impact on residents’ waste separation behavioral intention. The findings from this research may help policy-makers have a better understanding of residents’ waste separation behavioral intention.

Individuals' waste separation practice in a relationship with social bonds: a case study of Hanoi, Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thi Kim Nhung Nguyen
Keyword(s):  
Social Bonds ◽  
Small Sample Size ◽  
Influential Factors ◽  
Small Sample ◽  
Household Waste ◽  
Mixed Method Research ◽  
Structured Interviews ◽  
Content Type ◽  
Sociological Approach ◽  
Waste Separation

PurposeThe paper aims to ascertain whether residents in Nguyen Du ward still sort their waste at source following the end of the 3R project that ended in 2009. Additionally, this paper aims to explore the relationship between waste separation practices and social bonds.Design/methodology/approachThe Travis Hirschi theory of social control was applied, together with the mixed method research design which included a structured questionnaire survey. Twelve semi-structured interviews were also conducted with residents and the data processed by SPSS software, using Chi-Square test, Independent-Samples t-test and Pearson's correlation analysis.FindingsA proportion of respondents has continued practicing waste separation since the 3R project ended. The study also indicated that the greater the involvement in family and neighborhood activities the more the participants were likely to practice waste separation.Research limitations/implicationsThe small sample size limits the extent to which the most influential factors can be determined and therefore the degree to which the findings can be generalized.Practical implicationsThe study includes implications for rerunning the waste separation programs for households as together with community campaigns to improve individuals' attachment and commitment and thus their participation in pro-environmental behaviors.Originality/valueTo the author’s knowledge, this is the first study to take a sociological approach to investigate factors affecting household waste separation, which has attracted little attention in previous studies. Useful information is also provided to local authorities for a policy-making process to implement effective domestic waste policies.

scholarly journals Low-Cost Strategies to Improve Municipal Solid Waste Management in Developing Countries: Experimental Evidence from Nepal

2022 ◽  
Author(s):  
Mani Nepal ◽  
Apsara Karki Nepal ◽  
Madan S. Khadayat ◽  
Rajesh K. Rai ◽  
Priya Shyamsundar ◽  
...  
Keyword(s):  
Developing Countries ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Disposal ◽  
Low Cost ◽  
Household Waste ◽  
Municipal Solid Waste Management ◽  
Behavioural Interventions ◽  
Waste Segregation

AbstractMany cities in developing countries lack adequate drainage and waste management infrastructure. Consequently, city residents face economic and health impacts from flooding and waterlogging, which are aggravated by solid waste infiltrating and blocking drains. City governments have recourse to two strategies to address these problems: a) ‘hard’ infrastructure-related interventions through investment in the expansion of drainage and waste transportation networks; and/or, b) ‘soft’, low-cost behavioural interventions that encourage city residents to change waste disposal practices. This research examines whether behavioural interventions, such as information and awareness raising alongside provision of inexpensive street waste bins, can improve waste management in the city. We undertook a cluster randomized controlled trial study in Bharatpur, Nepal, where one group of households was treated with a soft, low-cost intervention (information and street waste bins) while the control group of households did not receive the intervention. We econometrically compared baseline indicators – perceived neighbourhood cleanliness, household waste disposal methods, and at-source waste segregation – from a pre-intervention survey with data from two rounds of post-intervention surveys. Results from analysing household panel data indicate that the intervention increased neighbourhood cleanliness and motivated the treated households to dispose their waste properly through waste collectors. The intervention, however, did not increase household waste segregation at source, which is possibly because of municipal waste collectors mixing segregated and non-segregated waste during collection. At-source segregation, a pre-requisite for efficiently managing municipal solid waste, may improve if municipalities arrange to collect and manage degradable and non-degradable waste separately.

Causality seafood processing circular supply chain capabilities in qualitative data analytics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ming-Lang Tseng ◽  
Thi Phuong Thuy Tran ◽  
Kuo-Jui Wu ◽  
Bing Xue ◽  
Xiaobo Chen
Keyword(s):  
Supply Chain ◽  
Hierarchical Structure ◽  
Data Analytics ◽  
Qualitative Data ◽  
Action Planning ◽  
Management Control ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Seafood Processing ◽  
Circular Design

PurposeThis study establishes a set of seafood processing circular supply chain capabilities (CSCCs) in Vietnam using qualitative data analytics. This study specifies the interrelationships and hierarchical structure comprising six aspects and 24 criteria for the seafood processing circular supply chain in Vietnam.Design/methodology/approachFuzzy Delphi method is used to confirm the validity. Fuzzy set theory is used to deal with the complexity and uncertainties from the qualitative information. The decision-making trial and evaluation laboratory method is used to examine the interrelationships among attributes. The analytical network process segregates (or displays) the capabilities in a hierarchical structure.FindingsThe results show that management control and technological capability dominate in circular design, circular sourcing, circular production and resource recovery. In practices, the strategic planning, action planning, information technology and technological facilities are important to seafood processing industry.Originality/valueThe CSCCs are pivotal in establishing a concrete foundation for the execution of circular supply chain management, with the aim of optimizing resource utilization and eliminating waste; however, prior studies have lacked a focus on the capability associated interrelationships and hierarchical structure in qualitative data analytics.

scholarly journals Comprehensive Performance Assessment on Various Battery Energy Storage Systems

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2841 ◽  
Author(s):  
Haoran Zhao ◽  
Sen Guo ◽  
Huiru Zhao
Keyword(s):  
Energy Storage ◽  
Renewable Resources ◽  
Electricity Generation ◽  
Comprehensive Evaluation ◽  
Indicator System ◽  
Comprehensive Assessment ◽  
Policy Implications ◽  
Photovoltaic Energy ◽  
Delphi Approach ◽  
Fuzzy Delphi

With the increasing development of renewable resources-based electricity generation and the construction of wind-photovoltaic-energy storage combination exemplary projects, the intermittent and fluctuating nature of renewable resources exert great challenges for the power grid to supply electricity reliably and stably. An energy storage system (ESS) is deemed to be the most valid solution to deal with these challenges. Considering the various types of ESSs, it is necessary to develop a comprehensive assessment framework for selecting appropriate energy storage techniques in establishing exemplary projects combining renewable resources-based electricity generation and an ESS. This paper proposes a multi-criteria decision making (MCDM) model combining a fuzzy-Delphi approach to establish the comprehensive assessment indicator system, the entropy weight determination method, and the best-worst method (BWM) to calculate weights of all sub-criteria, and a Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) comprehensive evaluation model to choose the optimal battery ESS. In accordance with the comprehensive evaluation results, the Li-ion battery is the optimal battery ESS to apply to wind-photovoltaic-energy storage combination exemplary projects. Based on the discussion on the comprehensive evaluation results, policy implications are suggested to improve the applicability of battery ESSs and provide some references for decision makers in related fields.

scholarly journals Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model

2019 ◽  
Vol 11 (6) ◽  
pp. 1754 ◽  
Author(s):  
Jun Dong ◽  
Dongran Liu ◽  
Dongxue Wang ◽  
Qi Zhang
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Sustainable Development ◽  
Influencing Factors ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Actual Problem ◽  
Five Dimensions ◽  
Fuzzy Delphi

With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.

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