The influence of partisan news on climate mitigation support: An investigation into the mediating role of perceived risk and efficacy.

Perceptions of efficacy play a central role in motivating people to engage in climate actions. However, there has been little investigation into how different climate efficacy beliefs are formed and how they may be associated with support for climate mitigation policies. This study, based on the motivated control framework, examines how risk perceptions may differentially be associated with four types of efficacy constructs (self-efficacy, personal outcome expectancy, collective efficacy, and collective outcome efficacy). It also places the motivated control framework in the context of the partisan information sphere and examines how exposure to partisan news may influence mitigation policy support through the mediators of risk perceptions and the efficacy constructs. Results suggest that liberal- and conservative-leaning news exposure, respectively, associate with higher and lower supports for policies. Overall, risk perception was a significant mediator, and the mediating function of efficacy varied depending on the specific construct being examined. For liberal news use, increased risk perceptions had a positive association with policy support through self-efficacy and collective outcome expectancy but also had an unexpected negative association with policy support through personal outcome expectancy and collective efficacy. For conservative news use, decreased risk perceptions resulted in further decreased beliefs of self-efficacy and collective outcome expectancy, resulting in lower levels of support for climate policies. We also find that political ideology is a significant moderator for the mediation model. Implications for climate change communication are discussed.

Strategies, challenges, and outcomes of heat stress resilience in sub-Saharan African community-based cattle feedlots: a systematic review.

In sub-Saharan Africa, cattle feedlots face a significant challenge in dealing with heat stress. However, there is a lack of inclusive strategies for resilience in these situations. The aim of this systematic review is to investigate the strategies, challenges, and outcomes related to heat stress resilience in community-based cattle feedlots in sub-Saharan Africa. The PRISMA approach, which is a method for reporting systematic reviews and meta-analyses, was used to identify, screen, and analyze 30 peer-reviewed articles published over the last 20 years from Google Scholar and Scopus. The review found that key strategies to mitigate heat stress include providing shade through natural and artificial means, ensuring constant access to cool, clean water using water spraying systems and cooling ponds, and implementing nutritional adjustments such as high-energy feeds and electrolyte supplements. Additionally, genetic selection for heat-tolerant breeds and management practices like adjusting feeding times and improving ventilation were found to be effective in dealing with heat stress. In particular, local germplasm and genetic traits of cattle in sub-Saharan Africa play a crucial role in heat stress resilience. Indigenous breeds, which have adapted to the region's harsh climate over centuries, exhibit traits such as higher heat tolerance, better water-use efficiency, and improved feed conversion rates under heat stress conditions. This genetic resilience can be enhanced through targeted breeding programs aimed at amplifying these beneficial traits. Implementing these strategies resulted in improved cattle health and productivity, as evidenced by enhanced weight gain, better reproductive performance, and lower mortality rates. The socio-economic benefits of these strategies included reduced economic losses and increased farmer incomes, which in turn contributed to improved community health and nutrition. However, the review also identified significant challenges, including financial constraints, limited access to knowledge and training, and cultural resistance. To address these barriers, the review recommends increased investment in affordable cooling technologies, farmer education, and community-based initiatives. Additionally, leveraging the genetic strengths of local cattle breeds should be prioritized to maximize the effectiveness of heat stress resilience strategies.

Addressing pollution challenges for enterprises under diverse extreme climate conditions: artificial intelligence-driven experience and policy support of top Chinese enterprises.

Introduction: This study investigates the experiences of leading Chinese companies in environmental conservation under varying extreme climate conditions, focusing on the role of artificial intelligence (AI) and governmental assistance. Methods: A survey was conducted involving 200 participants to assess recognition and endorsement of AI's role in environmental protection and to explore the adoption of AI technologies by firms for enhancing environmental management practices. Results: The survey revealed widespread recognition of Tencent's green initiatives and strong support for AI's role in environmental protection. Many firms are considering adopting AI technologies to optimize energy management, deploy intelligent HVAC systems, and improve the operations of data centers and smart lighting systems. Discussion: The findings highlight a strong belief in AI's potential to advance environmental protection efforts, with a call for increased governmental support to foster this development. The study underscores the importance of a partnership between businesses and governments to leverage AI for environmental sustainability, contributing significantly to conservation efforts.

Knowledge of and policy support for the SDGs: An inverted U-shaped relationship.

This study aims to examine the relationship between knowledge of the SDGs and public policy support for the SDGs. By categorizing knowledge into objective and subjective knowledge, we examine the impact of these two types of knowledge on public support. And we further explores the moderating role of public trust in international/environmental organizations and the mediating role of individuals' perceptions of SDGs' relevance. By conducting an online survey in China (n=3089), we analyze the dataset using (generalized) logistic regression model and mediation analysis. This study finds that 1) both individuals' objective and subjective knowledge of SDGs are significantly associated with policy support for SDGs, an inverted U-shaped relationship is identified for objective knowledge, while subjective knowledge and policy support are positively correlated; 2) for publics who trust international/environmental organizations, their support for the SDGs will be boosted by their increased level of knowledge; 3) individuals' perceptions of SDGs' relevance to their personal life mediates the relationship between individual's knowledge of SDGs and policy support for the SDGs. This study applies several sampling and modelling techniques for robustness check. This study extends our understanding of the relationship between knowledge and policy support in the context of the SDGs.

Support for Policies and Strategies to Promote Healthy Food Retail In-Store and Online: Perspectives From a National Sample of Supplemental Nutrition Assistance Program Participants.

OBJECTIVE: Gather perspectives on healthy retail policies and strategies from a national sample of Supplemental Nutrition Assistance Program (SNAP) participants. DESIGN: Anonymous web-based survey fielded in English and Spanish. The survey measured support for healthy retail policies and strategies. SETTING: National Qualtrics panel fielded on September 30 and October 19, 2022. PARTICIPANTS: A total of 1,559 adult SNAP participants (in the last 12 months) participated in the Qualtrics SNAP survey panel. VARIABLES MEASURED: Overall support for retail policies and strategies was calculated using response frequencies and proportions. ANALYSIS: Cross-tabulations and chi-square tests of independence assessed differences in policy support by online shopping behavior and nutrition security status. Significance was determined at P < 0.05. RESULTS: Most SNAP participants were broadly supportive of policies and strategies to improve the healthy food retail environment. More restrictive policies were less popular than policies that expanded consumer choice. Support also varied by online shopping status and nutrition security status. CONCLUSIONS AND IMPLICATIONS: Policies and strategies that improve the healthy food retail environment are popular among a national sample of SNAP participants. Policy discussions must understand SNAP participants' perspectives regarding changes to the retail environment that may impact their ability to access healthy foods.

Biomass Ppower generation: A pathway to carbon neutrality.

In light of the pressing need to reduce carbon emissions, the biomass power generation industry has gained significant attention and has increasingly become a crucial focus in China. However, there are still considerable gaps in the historical background, status, and prospects of biomass power generation. Herein, the historical and current status of biomass power generation in China are systematically reviewed, with a particular emphasis on supportive policies, environmental impacts, and future projections. By 2022, the newly installed capacity for biomass power generation reached 3.34 MW with a total installed capacity of 41 MW. The power produced from biomass power generation is 182.4 billion kWh in China. The total installed capacity and generated power in 2022 were 1652 and 1139 folds higher than in 2006 when the first biomass generation plant was established. However, disparities in the distribution of biomass resources and power generation were observed. Key drivers of the industry development include tax, finance, and subsidy policies. Under the implementation of the 14th Five-Year Plan for renewable energy development and the goal of carbon neutrality, biomass power generation may achieve great success through more targeted policy support and advanced technologies that reduce air pollutant emissions. If combined with Bioenergy with Carbon Capture and Storage (BECCS) technology, biomass power generation will make its contribution to carbon neutrality in China.

Thinking about default enrollment lowers vaccination intentions and public support in G7 countries.

Policymakers often face a conundrum between being transparent about policies and ensuring that those policies are effective. This challenge is particularly relevant for behavioral nudges, which are not usually disclosed. Rather than avoiding transparency, we suggest that policymakers encourage citizens to reflect on nudges to help them understand their own views and align those views with their behaviors. Using data from an online survey experiment with 24,303 respondents in G7 countries, we examine the impact of reflection on a hypothetical default nudge policy for COVID-19 booster appointments. Contrary to expectations, participants say they would be less likely to get the booster when automatically enrolled compared with a control condition. Similarly, encouraging citizens to think about the status quo (baseline) policy also reduces intentions for boosters. These interventions have no effect on approval of the policy. Further, encouraging people to think about automatic enrollment decreases approval of the policy and further decreases their intentions to get vaccinated. These findings suggest that reflection on a nudge can increase backlash from a nudge and also elicit policy disapproval, thereby aligning policy support with behavioral intentions.

Perceptions of a reduced nicotine policy and predictors of policy support: A nationally representative U.S. survey.

BACKGROUND: The U.S. Food and Drug Administration is considering a policy to reduce nicotine in cigarettes to non-addictive levels. Although current evidence supports the public-health benefits of a reduced-nicotine policy, almost half of people who smoke (∼ 40%) do not support the policy. This study estimates the factors most strongly associated with support or opposition toward the policy, including tobacco use status, perceived effects of a reduced nicotine policy, trust in the FDA, and psychological distress. The study aims to inform messaging campaigns and policy makers. METHODS: Data were collected in 2021 with nationally representative samples of U.S. adults (n = 1763). After receiving information about the reduced nicotine policy, participants indicated their beliefs and support for or opposition to the policy, along with other individual difference characteristics. Univariate population parameters and multinomial logistic regression coefficients were estimated. RESULTS: In adjusted models, people who formerly or never smoked were less likely to oppose the policy compared to those who currently smoke; people with higher psychological distress and those who believe the policy will promote switching to e-cigarettes were more likely to oppose the policy. In addition, people were more likely to support the policy if they believed it would make quitting easier or that the FDA is trustworthy. CONCLUSIONS: Educational campaigns about reduced nicotine policy should expect higher impact by targeting prevalent perceptions and those more strongly associated with policy sentiment. In anticipation of the policy rollout, there may be a critical window to shape public opinion.

Income inequality effect of government investment behavior: Comparisons based on different investment areas, different regions and different groups in China.

The research focuses on and analyses the effect of government investment on income distribution by evaluating the effects of public spending on income variation in various fields, in various regions, and at different income levels in the Chinese economy. The study found that government investment in different fields substantially decreases income inequality. Increasing housing security, medical, agriculture, forestry and other expenditures has a significant impact on improving the income inequality between rural and urban inhabitants; the impact of government investment in the western, central, and eastern regions on the reduction of income variation is decreasing successively, with emphasis on government investment in the western and central regions. The effects of government investment on the decline of the income distribution are twofold: first, it influences the amount of low- and middle-income groups; second, it has an impact on the reduction of high-income organizations; however, the impact on the income equality of high-income and low-income organizations is not considerable. In investment, the study demonstrates that income inequality can be reduced without negatively affecting the financial status of higher-income individuals. It is significant to value providing adequate housing security for low-income populations as a critical policy implication. This study, utilizing novel indicators, contributes to the current body of research on the impact of fiscal policy in addressing income inequality in China.

The role of collectivism, liberty, COVID fatigue, and fatalism in public support for the zero-COVID policy and relaxing restrictions in China.

BACKGROUND: China was the last country in the world to relax COVID-19 restrictions. A successful public health policy requires public support. This analysis examined the factors associated with Chinese support for zero-COVID and relaxing COVID-19 restrictions in China. METHOD: Two online surveys were conducted among Chinese participants in mainland China on June 10-13 (N = 460) and December 2, 2022 (N = 450). These two samples were similar based on the participants' demographics. RESULTS: The results revealed that the perceived health consequences of a COVID-19 policy, perceived norms of approving a COVID-19 policy, and hope positively predicted the participants' support for the COVID-19 policy. The results further showed that collectivism and fatalism positively predicted support for zero-COVID and negatively predicted support for relaxing restrictions. COVID fatigue was negatively associated with support for zero-COVID and positively associated with support for relaxing restrictions. Liberty positively predicted support for relaxing restrictions in June and negatively predicted zero-COVID in December 2023. It did not positively or negatively predict support for the policy adopted by the government. CONCLUSION: Collectivism, liberty, COVID fatigue, and fatalistic beliefs are important considerations connected to public support for a COVID-19 policy. The role of liberty was more nuanced and depended on the survey's time and whether the government adopted the policy.

Level and factors of support for the Living with the Virus policy in a Chinese adult general population: a mediation analysis via positive and negative attitudes toward the policy.

Background: This study investigated the public's support for the Living with the Virus (LWV) policy, its associated factors, and related mediations at a time when more countries were considering adopting the LWV policy amid the COVID-19 pandemic. Methods: A random, population-based telephone survey was conducted among 500 Chinese adults in Hong Kong during March/April 2022. Results: 39.6% of the participants were supportive/strongly supportive of the LWV policy. Perceived efficacy of the control measures was negatively associated with the support and was partially mediated via the perception that the policy would greatly improve the economy/daily life of the policy. Perceived physical harms of the Omicron variant was negatively associated with the support and was fully mediated via perceived negative impacts of the policy. 26.2%/54.6% believed that the policy would improve the economy/daily life greatly; about 40% perceived negative impacts on deaths and the medical system due to the policy. COVID-19 ever infection did not significantly moderate the studied associations. Conclusion: The public was split regarding the support for the LWV policy and whether it would cause better economy/daily life, unnecessary deaths, and the collapse of the medical system. Health communication is needed in shifting toward the LWV policy.

How the EU Soil Observatory contributes to a stronger soil erosion community.

New policy developments have emerged in relation to soil conservation after 2020. The Common Agricultural Policy (CAP) 2023-2027, the proposal for a Soil Monitoring Law and the mission 'A Soil Deal for Europe' have shaped a new policy framework at EU level, which requires updated assessments on soil erosion and land degradation. The EU Soil Observatory (EUSO) successfully organised a scientific workshop on 'Soil erosion for the EU' in June 2022. The event has seen the participation of more than 330 people from 63 countries, addressing important topics such as (i) management practices, (ii) large scale modelling, (iii) the importance of sediments in nutrient cycle, (vi) the role of landslides and (v) laying the foundations for early career scientists. As a follow up, among the 120 abstracts submitted in the workshop, we received fifteen manuscripts, out of which nine were selected for publication in the present special issue. In this editorial, we summarize the major challenges that the soil erosion research community faces in relation to supporting the increasing role of soils in the EU Green Deal.

Impact of Cooperative Innovation on the Technological Innovation Performance of High-Tech Firms: A Dual Moderating Effect Model of Big Data Capabilities and Policy Support.

The mechanism of cooperative innovation (CI) for high-tech firms aims to improve their technological innovation performance. It is the effective integration of the internal and external innovation resources of these firms, along with the simultaneous reduction in the uncertainty of technological innovation and the maintenance of the comparative advantage of the firms in the competition. This study used 322 high-tech firms as our sample, which were located in 33 national innovation demonstration bases identified by the Chinese government. We implemented a multiple linear regression to test the impact of CI conducted by these high-tech firms at the level of their technological innovation performance. In addition, the study further examined the moderating effect of two boundary conditions-big data capabilities and policy support (PS)-on the main hypotheses. Our study found that high-tech firms carrying out CI can effectively improve their technological innovation performance, with big data capabilities and PS significantly enhancing the degree of this influence. The study reveals the intrinsic mechanism of the impact of CI on the technological innovation performance of high-tech firms, which, to a certain extent, expands the application context of CI and enriches the research perspective on the impact of CI on the innovation performance of firms. At the same time, the findings provide insight for how high-tech firms in the digital era can make reasonable use of data empowerment in the process of CI to achieve improved technological innovation performance.

Is conservative opposition to climate change threat-based? Articulating an integrated threat model of climate change attitudes.

Throughout the literature, there are assertions that those endorsing conservative ideologies reject the science and solutions of climate change due to perceived threat. That is, they fear that accepting climate change means accepting problems with a favoured socioeconomic system and supporting action on climate change threatens to disrupt these systems. We draw together lines of research and reasoning on this topic to outline three key predictions this perspective makes about the drivers of conservative denial of climate change and opposition to climate policy. The first is that an asymmetry exists in climate-related threat perceptions, whereby greater endorsement of conservative ideology predicts lower perceived threat from climate change and greater perceived threat from climate reform. Second, climate-related threat perceptions are multifaceted, such that threats to economic and cultural well-being can be experienced, at personal or collective levels. Third, the asymmetry in threat perceptions explains conservatives' lower support for pro-climate reforms. We then specify a new integrated threat model of climate change attitudes, review the current evidence for and against each prediction in this model and outline ways to interrogate these theoretical predictions with empirical research. Doing so will advance understanding of the underpinnings of ideological disagreement on climate change.

The public's knowledge about child sexual abuse influences its perceptions of prevention and associated policies.

BACKGROUND: Child sexual abuse (CSA) prevention requires efforts from all members of society. OBJECTIVE: The current study aimed to examine factors associated with (1) perceptions of CSA as unpreventable and (2) support for policies to prevent CSA and to punish people who perpetrated CSA. We focused on the roles of knowledge and misperceptions about child sexual abuse. PARTICIPANTS AND SETTING: We collected survey data online from a large (N = 5068), nationally representative sample of adults in the United States. RESULTS: Analyses revealed factors promoting perceptions of CSA as unpreventable. Support for or against policies that aim to prevent CSA or to punish perpetrators of CSA were associated with individual factors such as older age (B = 0.08, -0.13), Republican political affiliation (B = 0.10, 0.07), and misperceptions about CSA (B = 0.15, 0.06). CONCLUSIONS: Findings highlight malleable factors that could be targeted to collectivize calls for CSA prevention and to promote support for effective policies to prevent CSA. In particular, ensuring accurate knowledge about CSA, and collective responsibility and government efficacy specific to CSA prevention, were identified as helping shape views of CSA as preventable.

Hopium or empowering hope? A meta-analysis of hope and climate engagement.

Researchers are increasingly examining whether hope can motivate action on climate change, or conversely, whether it might demotivate such action. We present a meta-analysis (k = 46) of quantitative studies examining the relationships between measures and manipulations of hope with climate engagement. On average, measured hope was associated with greater climate engagement (r = 0.18); however, this effect differed based on the target of hope. Hope regarding the possibility of respondents taking action was particularly strongly associated with greater engagement (r = 0.40), while in contrast, hope grounded in climate change not being a problem was associated with less engagement (r = -0.40). Hope in response to climate change generally, and domain-general hope, were only weakly associated with greater engagement (rs = 0.13, 0.20). On average, hope manipulations fostered increased engagement, though the increase was small (Cohen's d = 0.08). Subgroup analyses suggested two promising types of hope manipulations warranting future research: personal efficacy (k = 2, d = 0.18) and in-depth (k = 2, d = 0.49). In contrast, messages suggesting societal efficacy (i.e., providing a sense of possibility that climate change could be addressed) did not significantly or substantially boost (nor discourage) engagement (d = 0.05), and status quo-framed messages (i.e., messages highlighting that environmental conditions could stay the same if climate action is taken) had a marginally significant negative effect on engagement (d = -0.18). After excluding a single outlier, the extent to which manipulations increased hope were not correlated with increases in climate engagement, suggesting the possibility that hope might be incidental to the success of some manipulations rather than a necessary component for promoting engagement. Overall, our meta-analysis does not suggest that increasing hope decreases climate engagement, with the possible exceptions of denial hope and status quo framed messages. Conversely, however, results provide partial yet inconclusive evidence for the hypothesis that increasing hope increases climate engagement. Given the existing published literature, we argue that future researchers should consider study designs that align with theoretical perspectives on how hope promotes climate engagement (e.g., longitudinal designs) and also consider directly assessing populations of interest (e.g., climate activists).

Tobacco-control policy support among people from low socioeconomic positions in Massachusetts.

People from low socioeconomic positions (SEP) are at a higher risk of smoking, face greater barriers to smoking cessation, and have lower access to health information. To improve tobacco-related health outcomes, policies requiring altering labeling on cigarette packs could be implemented. However, public support is needed to influence the policymaking process. We assessed factors associated with supporting tobacco-control communication policies. We analyzed data from Project CLEAR, a study conducted in Massachusetts. The analytic sample included participants who answered questions on their support for three policies: 1) graphic health warnings (GHWs), 2) Quitline number, and 3) smoking cessation information on cigarette packs (n = 357). Binomial logistic regression modeling was conducted by policy. Independent variables included demographic characteristics and smoking status. We found that younger vs. older individuals (aOR = 0.41, 95 %CI:0.23-0.72), males vs. females (aOR = 0.58, 95 %CI:0.35-0.96), and people who smoke vs. those who don't smoke (aOR = 0.41, 95 %CI:0.24-0.70) were less likely to support a law requiring GHWs. Participants with a low vs. higher level of education (aOR = 0.55, 95 %CI:0.32-0.95) were less likely to support a law requiring a Quitline number. Younger (18-39) vs. older individuals (aOR = 0.53, 95 %CI:0.29-0.94), males vs. females (aOR = 0.57, 95 %CI:0.34-0.96), and participants with a low vs. higher level of education (aOR = 0.56, 95 %CI:0.32-0.98) were less likely to support a law requiring cessation information on cigarette packs. Findings suggest that targeted theory-based public health and communication strategies should be developed to increase awareness and support towards policies that would help reduce cigarette smoking among people from low SEP to eliminate tobacco-related health inequities in the US.

Preferences for policy measures to regulate urban vehicle access for climate change mitigation.

In cognisance of the urgent need to decarbonise the transport sector to limit its impact on climate change and to internalise other negative transport externalities, regulating vehicle access in urban areas is essential. However, urban areas often struggle to implement these regulations due to concerns relating to social acceptability, heterogeneity of citizen preferences, lack of information on preferred measure attributes, and other factors that can boost the acceptance of urban vehicle access regulations. This study explores the acceptability and willingness to support Urban Vehicle Access Regulations (UVAR) in Budapest, Hungary to reduce transportation emissions and promote sustainable urban mobility. Using a structured questionnaire, which includes a choice-based conjoint exercise, the study finds that 42% of respondents were willing to support a car-free policy measure. Results were analysed to elicit preferences for specific UVAR measure attributes, identify population subgroups, and assess factors influencing willingness to support UVAR implementation. Access fee and proportion of revenue earmarked for transport development were the most important attributes to respondents. The study also identified three distinct subgroups of respondents with differing preferences, which could be characterised based on access to passenger cars, age, and employment status. The findings suggest that for effective UVAR, access fees for non-compliant vehicles should be excluded from measure designs, and the attribute preference approach highlights the importance of considering the heterogeneity of residents' preferences in UVAR measure planning. Supplementary Information: The online version contains supplementary material available at 10.1186/s12302-023-00745-0.

Insights into parents' and teachers' support for policies promoting increased plant-based eating in schools.

Global environmental and public health challenges related to current food systems call for large-scale shifts towards increasingly plant-based diets, especially in Western meat-centric societies. School meal systems can play a role in these changes due to their widespread prevalence and multi-sectoral impact. However, there is a lack of evidence about how adults involved in the school meals system perceive school-based pro-environmental food policies, which limits the ability to align those policies with the needs and expectations of the school community. This study aimed to address this knowledge gap by exploring parents' (n = 104) and teachers' (n = 252) support for policies to promote increased plant-based eating in public schools in a highly meat-centric EU country (Portugal). Overall, teachers seemed to be slightly more supportive of such policies and displayed more favorable (injunctive and dynamic) norms toward plant-based eating, more negative appraisals of meals with meat (i.e., perceived healthiness, naturalness, and sustainability), and lower attachment to meat consumption. Furthermore, injunctive norms in favor of plant-based meals were linked with higher support for measures promoting plant-based meals in schools, in both samples (parents, teachers). Lower meat attachment and favorable perceived meal attributes (e.g., perceptions about plant-based and fish meals) were associated with teachers' support for measures promoting plant-based meals in schools. These findings suggest that future efforts and research with parents and teachers to enable less meat-centric and more flexitarian food practices in schools should consider social and motivation variables relevant to plant-forward transitions.

The impact of continuous use intention of cooperative members on new agricultural technologies.

The widespread application of new agricultural technologies promotes an increase in agricultural production and income and in the optimization and adjustment of the industrial structure. However, there are problems such as low promotion efficiency, an insufficient transformation of achievements, and a mismatch of supply and demand in the process of promotion. Based on the research context of farmer cooperatives in China, this study explores the factors influencing the continuous use intention of cooperative members toward new agricultural technologies and builds a research structure based on the unified theory of acceptance and use of technology (UTAUT) model, which includes performance expectations, effort expectations, cooperative social impact, and policy support. A total of 401 valid questionnaires were collected, and the data were analyzed in three stages using descriptive statistics, a measurement validation model, and a structural equation model, using a survey questionnaire and by inviting members of farmer cooperatives within China to participate in an online survey through a web-based electronic questionnaire. The results of the study found that policy support plays a dominant role in the intention of cooperative members of farmers to use new agricultural technologies consistently, and cooperative social impact plays a facilitating role, while factors such as performance expectation and effort expectation also have a significantly positive effect on the intention to use consistently.