Trust gaps in energy transitions: Japan’s National Deliberative Poll after Fukushima

Mah, Daphne Ngar‐yin; Cheung, Darren Man-wai; Lam, Victor Wai Yin; Siu, Alice; Sone, Yasunori; Li, Ka-yan

doi:10.1016/j.eist.2021.03.002

Cited by 6 publications

(3 citation statements)

References 63 publications

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“…Enhancing the trust of HIA participants in HIA policy helps enhance their identification of the policy. Trust is an essential component of effective governance in all major areas of public policy and is crucial for enhancing policy legitimacy [ 57 ]. Thus, when conducting HIA activities, a cross-sectoral collaborative mechanism should be established firstly.…”

Section: Discussionmentioning

confidence: 99%

Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province

Liu,

et al. 2023

Health Res Policy Sys

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Background Health impact assessment (HIA) is a procedure, method and tool for evaluating the potential health impacts of policies, plans and construction projects, as well as the distribution of these impacts on population. Majority of international studies on health impact assessment have focussed on conceptual papers or case evaluations, neglecting participants’ views on policies. Methods A semi-structured interview with 30 health impact assessment experts was employed in this study, and the Nvivo software was utilized to analyse factors that influence policy identification. Subsequently, a multi-stage stratified random sampling method was adopted to survey 655 pilot staff members involved in health impact assessment in Zhejiang Province. Descriptive statistics were used to describe the current status and identify the factors influencing policy identification. In addition, hierarchical linear regression analysis and structural equation modelling were employed to determine the relationship between policy identification and influencing factors. Results Statistically significant differences were found among participants in the level of identification of policies across three dimensions. The policy sentiment dimension had the highest score (4.137 ± 0.664), followed by policy cognition (4.075 ± 0.632) and policy evaluation (3.631 ± 0.797) dimensions. Subject trust had a positive impact on policy cognition (β = 0.503, P < 0.001), policy sentiment (β = 0.504, P < 0.001) and policy evaluation (β = 0.465, P < 0.001). Procedural justice had a positive impact on policy sentiment (β = 0.085, P < 0.01) and policy evaluation (β = 0.084, P < 0.05), but not policy cognition (β = 0.056, P > 0.05). Policy identification is influenced by age and average monthly salary among other factors. Conclusion These results highlight the importance of subjective trust and procedural justice in policy identification of health impact assessment. They provide valuable insights to developing interventions to overcome barriers to the implementation and enhancement of global identification of policies. Going forward, cross-sectoral synergies, enhanced international communication and training to increase participants’ trust in the policy should be optimized to improve health impact assessment. Additional measures should be taken, such as ensuring seamless communication channels, embedding health impact assessment in administrative mechanisms, and establishing strong oversight and grievance mechanisms to improve fairness and transparency in the implementation and results of health impact assessment.

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Section: Discussionmentioning

confidence: 99%

Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province

Liu,

et al. 2023

Health Res Policy Sys

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“…Based on the deliberative policy theory, which emphasizes the crucial role of trust in public participation to enhance the effectiveness of public policies, some researchers have developed a decision-making model rooted in trust elements, highlighting trust's important role in the public decision-making process [42]. Good governance of social media in government can affect public trust in the government [43], and increased public participation in government social media can more effectively demonstrate the efficacy of public service and policy implementation [44].…”

Section: Information Seeking Vs Avoidance On Government Socialmentioning

confidence: 99%

To Access or Not to Access: Influencing Factors for Government Microblogging Information Seeking and Avoidance among Chinese Generation Z

Zheng

2024

Human Behavior and Emerging Technologies

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In recent years, the effective enhancement of information communication effect through governmental social media in has emerged as a universally concerned issue on government governance within the social media era. As Generation Z represents the primary and frequent users of social media, understanding the factors influencing their behaviors regarding information seeking and avoidance on governmental social media platforms is essential (in China, the principal governmental social media platform is government microblogging). Employing the grounded theory methodology, 31 participants of Chinese Generation Z were recruited for the present study, and data were collected using an in-depth interview. The results showed that the factors influencing the information-seeking behavior of Generation Z towards government microblogging mainly include heuristic seeking factors (personal preference, emotional value, and following hot topics), systematic seeking factors (task demand and expert recommendation), and defensive seeking factors (defending stance, authority seeking, and impression management). The factors influencing the information avoidance behavior of Generation Z towards government microblogging mainly include heuristic avoidance factors (clickbait titles, content layout, excessive length, and high redundancy), systematic avoidance factors (selective ignorance and terminological density), and resource-limited avoidance factors (demand scarcity, time scarcity, and vitality scarcity). This study contributes to a more comprehensive understanding of the government microblogging information behavior of Generation Z. Implications for government microblogging governance, strategy recommendations, and indicates directions for future research are discussed.

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“…Several stakeholders, including the community, will have to gain their trust for this to be possible. Mah et al [14] have developed a model for achieving deliberative policy-making based on the element of trust, demonstrating that trust plays a significant role in the application of government policies. It is challenging to achieve citizens' trust in government practice [15,16].…”

Section: Introductionmentioning

confidence: 99%

Do Social Media, Good Governance, and Public Trust Increase Citizens’ e-Government Participation? Dual Approach of PLS-SEM and fsQCA

Hutahaean

Eunike

Silalahi

2023

Human Behavior and Emerging Technologies

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Citizens’ participation in e-government is imperative for the government as it implies citizens’ participation in public policy. Furthermore, how government strategies allocate resources to increase participation in e-government is essential to investigate. Nevertheless, scant literature debates how e-government can facilitate citizen participation as part of the government’s deliberative policy-making process. To fill the gap, this study uses social media, good governance, and trust to predict e-government participation and testing the hypothesis using PLS-SEM and fsQCA on 455 Indonesian participants who have experience with e-government. The results from SEM confirmed that trust in e-government is the principal predictor of achieving citizens’ participation. To achieve citizens’ trust in e-government, the government must consider perceived ease of use and usefulness as critical factors while spreading e-government-related information on social media. At the same time, transparency from the good governance aspect enhances citizens’ trust. The results of fsQCA equip theoretical and practical insights for the government to determine whether citizens have high or low levels of e-government participation. In achieving high e-government participation, trust, information quality, perceived ease of use, and perceived usefulness are necessary. Besides, low participation occurs when information about e-government is absent on social media and do not care about good governance. These findings will assist the government in comprehensively improving public services through social media and good governance.

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Trust gaps in energy transitions: Japan’s National Deliberative Poll after Fukushima

Cited by 6 publications

References 63 publications

Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province

Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province

To Access or Not to Access: Influencing Factors for Government Microblogging Information Seeking and Avoidance among Chinese Generation Z

Do Social Media, Good Governance, and Public Trust Increase Citizens’ e-Government Participation? Dual Approach of PLS-SEM and fsQCA

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