Effective Policy Research Articles

The impact of the carbon reduction policy effectiveness on energy companies' ESG performance

As one of the largest sources of carbon emissions, energy companies are motivated to improve their environmental, social, and governance (ESG) performance to attract investment and meet sustainability goals under the constraints of carbon reduction policies. However, it is currently unclear whether and how carbon reduction policies can help energy companies improve their ESG performance. Therefore, this paper comprehensively examines the impact of carbon reduction policies on the ESG performance of energy companies. First, we use the content analysis method to construct a novel index as a proxy of policy influence based on policy text, i.e., the carbon reduction policy effectiveness (CRPE) index. Then, we empirically examine the impact of CRPE on the ESG performance of energy companies using the panel data of Chinese A-share listed energy companies from 2010 to 2022. The empirical study shows that the CRPE can significantly improve the ESG performance of energy companies and remains robust to robustness tests. Mechanism tests show that it is due to the increase in executives with environmental backgrounds and executive compensation. For the three indicators (E, S, and G) of ESG performance, CRPE promotes environmental and social performance but reduces governance performance. Notably, the effect of CRPE on the ESG performance of clean energy companies and state-owned enterprises (SOEs) is more significant. These findings enrich environmental economic theories and provide a reference for energy companies to promote ESG practices and the low-carbon transition, helping to accelerate the process of carbon neutrality.

Identifying the policy configurational conditions for off-site construction development: a case of China

PurposeA series of policies have been formulated to promote off-site construction (OSC) development. However, the effectiveness of these policies has yet to be fully explored. This study aims to explore the practical policy configurational conditions for achieving a high level of OSC development.Design/methodology/approachData on policy configurational conditions and the OSC development level were collected from 28 provinces/municipalities in China using text mining. A mixed-method approach was used to conduct data analysis involving text analysis and qualitative comparative analysis (QCA). Text analysis was used to identify current policies with frequencies as independent variables and obtain the proportion of OSC projects in new construction projects as the dependent variable. QCA is employed to analyze the necessary and sufficient conditions of policy conditions for the high-level development of OSC by exploring the complex causal relationships between policy configurational conditions and the OSC development level.FindingsNine policies are obtained from the current policy framework for promoting OSC development using text analysis: industry supports, land policies, presale policies, reputation rewards, regulation controls, tax incentives, floor area rewards, financial subsidies, and loan subsidies. Four policy configurational conditions are identified that can achieve a high development level of OSC: three incentive-driven policy conditions with industry supports, presale policies, tax incentives, and floor area rewards as the core conditions, and one compulsory-driven policy conditions with land policies, financial supports, and loan supports as the core conditions using fuzzy set QCA. Moreover, our study found that a single policy cannot achieve a high level of OSC development as a necessary condition, and the policy configurational conditions that lead to high and nonhigh levels of OSC development are asymmetrical.Research limitations/implicationsThe study did not test the policy’s dynamic effects on the OSC development. A longitudinal study will be conducted to further identify the impact of policy on OSC implementation.Practical implicationsIt provides policymakers with four practical policy configurational conditions to promote OSC development and guides policymakers to optimize effective policies considering the interaction effects of effective policies such as industry supports, presale policies, tax incentives, and floor area rewards instead of their net effects.Originality/valueIt contributes to the existing literature concerning the effects of policy on emerging technology (i.e. OSC) promotion by elucidating configurative effects rather than net effects. Meanwhile, it enriches the research on the antecedent conditions that affect the implementation of other emerging technologies in the architecture engineering and construction industry.

Assessing the phenomenon of out‐of‐school children in Nigeria: Issues, gaps and recommendations

AbstractSince the 1950s, the Nigerian government has undertaken various reforms and assessments to improve educational planning and delivery. Schemes and legal frameworks, such as Alternative Schools, Universal Basic Education, the Open School Program and the Child Right Act, exemplify efforts to universalise elementary education in the country. Yet, up to 20 million children and youth in Nigeria are currently out of school. Utilising a critical literature review approach, validated by empirical data and correlation analysis, this paper assesses Millennium Development Goal 2 and Sustainable Development Goal 4 to identify the factors that make education inaccessible for children in Nigeria vis‐à‐vis the effectiveness of policies and government interventions. The critical literature review evaluates prior research and data to understand the systemic issues within Nigeria's educational framework. Through this approach, we identify patterns and relationships that underpin the educational crisis, highlighting both successes and persistent gaps. To quantify the relationships between variables, we employed correlation analysis. Our assessment shows a significant positive correlation between unemployment and the rate of out‐of‐school children in the country, indicating that favourable socio‐economic conditions translate to improved access to education. Additionally, geopolitical disparities, insecurity and public spending on education collectively influence educational outcomes in Nigeria. We recommend a reimagining of the out‐of‐school children phenomenon by government agencies, non‐governmental organisations and civil society to focus on household‐level intervention policies that reflect local socio‐economic conditions. This study proposes the initiation of a sovereign annual fiscal audit and expenditure tracker to monitor the flow of funds from patrons or the government to the proposed beneficiaries. Furthermore, we suggest a review of the Universal Basic Education Act of 2004 and recommend that schools are brought even closer to children in crisis‐stricken areas. The findings underscore the pressing need of targeted, context‐specific strategies to address the multifaceted barriers to education in Nigeria. Context and implicationsRationale for this study: Comprehensive critical reviews on the issue of out‐of‐school children (OOSC) in Nigeria are scarce. With an alarming 20 million children not attending primary and secondary schools, a thorough scholarly evaluation of this pressing issue is urgently needed.Why the new findings matter: By highlighting key issues such as government commitment, household economy and insecurity as factors influencing OOSC rates, this study offers actionable recommendations to both the private and public sectors on how to effectively reduce the number of out‐of‐school children in line with the sustainable development goals (particularly, SDG4).Implications for policy makers, researchers and the general public: The findings of this study will assist policy makers (government bodies, schools and interested development partners) in developing strategies to tackle the issue of OOSC in Nigeria. It will help improve the design of policies and techniques to address the barriers to education access. Furthermore, it provides the foundation for future research and sensitises the general public to join hands in the advocacy for educational equity.

Regional frequency analysis of extreme wind in Pakistan using robust estimation methods

The quantile estimates of extreme wind speed are needed for various areas of interest using regional frequency analysis (RFA) and extreme value theory. These calculations are crucial for the coding of wind speed. The data was taken from the NASA official website at a 10-meter distance and measured in meters per second (m/s). RFA of annual maximum wind speed (AMWS) using L-moments is performed utilizing annual maximum wind speed data from sixteen sites (16) in Pakistan’s Khyber Pakhtunkhwa province. There are no sites that are found to be discordant. The wards method is used to construct a homogenous region and make two homogenous regions from 16 sites. The heterogeneity test justifies that both clusters are homogeneous. The most appropriate probability distribution from the Generalized Normal (GNO), Generalized Logistic (GLO), Pearson Type-3 (P3), Generalized Pareto (GPA), and Generalized Extreme Value (GEV) distributions is chosen to calculate regional quantiles. According to the L-moments diagram and Z statistics, the GEV for Cluster- Ι and GLO for Cluster- ΙΙ are the best suggestions from the others. Both clusters’ robustness is measured utilizing relative bias (RB) and relative root mean square error (RRMSE). Overall, GEV distribution is fit for cluster-Ι, and the GLO distribution is fit for cluster-ΙΙ. Utilizing the site mean and median as index parameters, we can also find at-site quantiles from regional quantiles. The study’s quantile estimates can be employed in codified structural designs with policy consequences.

Water pollution: causes, impacts and current efforts to address the issues of water pollution along river Meizimera-kihihi, Kanugu District,Uganda.

Pollution refers to the addition of harmful substances to that level where they cause an effect on the environment, it has three major categories such as water, soil, and air pollution but this report is on water pollution. It occurs when harmful substances contaminate water bodies such as, groundwater, rivers, lakes, and oceans rendering them unfavorable for various purposes for example drinking, recreation, and support to aquatic life. Globally, over 80% of wastewater worldwide is discharged into the water bodies without adequate treatment. In Africa, lack of clean water and sanitation is a significant challenge in many countries, affecting approximately 319 million people. Thus, water pollution is one of the types of pollution that has been threatening the lives of living organisms. Implementing effective policies and strategies can have a profound impact on the environment and local communities. By reducing pollution levels and improving water quality, we can create a healthier environment and decrease the incidence of waterborne diseases, leading to improved health and well-being for residents. The research on water pollution in the River Meizimera Kihihi has important implications for future research, policy and governance, human health, the environment, and communities and society. In conclusion, effective policies can foster community involvement, raise awareness, and promote collective action to address water pollution. By achieving clean water and sanitation (SDG 6), we can contribute to the broader sustainable development goals. This research has important ramifications for future research, policy and governance, human health, the environment, communities, and society. This study investigated the problems of water pollution, its causes, its impact, and the current effort to address the issues along the river of Meizimera-kihihi, Kanugu district, Uganda. Recommendations were made, which included encouraging the adoption of sustainable agricultural practices, industrial processes, and waste management strategies to minimize pollution.

The Effect of Financial Leverage, Profitability and Dividend Policy on Firm Value

This research provides valuable insights into the factors influencing company value within the manufacturing sector, specifically the cement subsector in Indonesia. Financial leverage, profitability, and dividend policy are key variables examined, as they significantly impact a company's financial health and market perception. Financial leverage reflects a company’s reliance on debt financing relative to equity, and the study shows that higher leverage can positively affect company value if managed effectively, thereby increasing returns for shareholders. Profitability, often measured through indicators such as Return on Assets (ROA) or Return on Equity (ROE), also plays a significant role in enhancing company value, as it reflects efficient resource management and attracts investor interest. Additionally, a consistent dividend policy reinforces the company’s reputation and draws investors, contributing positively to company value in the stock market. The findings emphasize that cement subsector companies with balanced leverage, solid profitability, and a consistent dividend policy tend to perform better in terms of company value, providing essential insights for stakeholders in optimizing strategies to maximize company value.

A Study on User Privacy Information Sharing and Boundary Management on Social Media

This article aims to study and analyze issues related to user privacy information sharing and limitation management on social media. It examines the actions users take regarding information sharing in various situations and proposes effective privacy management measures to help users better secure their personal privacy. Based on survey data, the analysis makes two key assumptions: first, there is a negative correlation between users’ reception of privacy management policies and the frequency of experiencing privacy information leaks; second, there is a positive correlation between the reception of privacy management policies and users’ privacy management actions. The analysis reveals several findings: privacy information management practices are generally prevalent among social media users, users face significant challenges in managing privacy information, and most social media users have experienced personal privacy information leaks. These insights are crucial for understanding privacy management actions in social media environments and for developing effective privacy management policies.

Differences in Changes of Mobility Patterns Across the Globe—Evidence From a Natural Experiment

ABSTRACTThe impact of population mobility and transportation choices on the environment is significant. Sustainable mobility policies require an understanding of evolving mobility patterns. This study examines global mobility variations across countries using COVID‐19 Community Mobility Reports. Employing the k‐medoids algorithm and Dynamic Time Warping, we analyzed mobility dynamics. Results reveal diverse changes in population mobility. Around 52 Global North countries exhibit approximately 10% reduction in professional activity‐related traffic post‐COVID‐19. Regarding urban green space mobility, only 29 countries exhibit strong seasonality, with summer traffic in the northern hemisphere peaking at about 150% higher than winter traffic. Three groups of countries are identified concerning public transport mobility: returning to pre‐pandemic levels, experiencing a 25% increase, and nearly doubling from pre‐pandemic levels. This underscores the key determinants for sustainable mobility policy implementation. Fifteen highly developed countries share similar mobility patterns across six areas studied, facilitating the exchange of sustainable mobility solutions and best practices. This research underscores the importance of understanding and addressing evolving mobility patterns for effective environmental policy planning.

Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses

This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. Traditional demographic analysis often overlooks local heterogeneities, leading to broad policies that often fail to address the unique needs of specific regions. Detailed maps are created by integrating geographic data with census data (using R and GIS), enabling policymakers to pinpoint areas with specific demographic challenges and opportunities. This localized approach reveals critical insights, such as regions experiencing rapid population aging, areas with younger population profiles, and zones undergoing demographic transitions. The visualization tool significantly improves the formulation of targeted strategies, enhancing the effectiveness of policies related to healthcare, workforce planning, and social services distribution. Through case studies and comparative analysis, we demonstrate the practical applications and advantages of this method in shaping public policy and strategic planning. This paper contributes to the field of geodemography by introducing and demonstrating a visualization method that enhances the accuracy of demographic analysis, providing policy makers with useful information to better address local demographic challenges and tailor strategies to specific regional needs.

Exploring South Australian households' perceptions towards various food waste policies

Increasing landfill and environmental costs are driving municipalities to search for effective policies to change household food waste disposal, balancing competing attributes such as effectiveness, fairness and feasibility. In order to better understand households' policy perspectives, we conducted an online survey with 1520 South Australians regarding four different food waste policies, namely: 1) frequency-based pricing for bin collection; 2) penalties for bin misuse; 3) changing bin collection timing; and 4) extension and education. A structural equation modelling approach was used to model overall policy preference, based on perceived policy attributes and household socio-demographics. Results highlighted that respondents' rated economic incentives (pricing and penalties) as the most effective in changing food waste behaviour, but rank these policies low in feasibility or acceptability. Conversely, education and information campaigns were rated as the lowest in effectively changing behaviour, but the most acceptable and fairest policy overall. Overall, respondents from households producing less food waste were more favourable towards introducing economic incentive food waste policies.

Public Administration "Changing Paradigms of Public Administration in Facing the Global Health Crisis: Lessons from the Pandemic"

The COVID-19 pandemic has changed the paradigm of public administration in dealing with the global health crisis by emphasizing the importance of multilateralism and cross-border cooperation. The government now plays the role of a facilitator that integrates health and political policies to respond more effectively. The study identifies countries with swift and transparent leadership, such as Vietnam, that are better able to respond to the pandemic, while also exposing global inequalities in low-income countries that need international support. Public administration has a crucial role in designing effective policies, providing resources, and implementing measures such as social distancing, with transparent communication to build public trust. The digitization of public services and evidence-based collaboration between governments and scientists have become important pillars in responding to people's needs. This study uses a descriptive-qualitative approach with case studies and comparative analysis of policies in various countries. The results show that adaptation and innovation in public administration, including increasing digital literacy and community participation, are critical to building health system resilience to future crises. This research is expected to contribute to public administration theory and relevant policy recommendations to face similar challenges in the future.

The Impact of Urban Industrial Structure on Citizen Income: Evidence from China

Technology advancements and the rise of new sectors have caused a steady shift in the urban industrial structure of cities. It is crucial to adopt effective policies to ensure that the industrial structure is conducive to economic development. This study aims to investigate the specific impact of urban industrial structure on residents’ income and how it promotes economic development from the individual level to the city level. Based on data from 5900 prefecture-level cities from 2003 to 2022, the empirical results show the following: (1) Urban industrial structure can significantly benefit both urban and rural residents’ income positively, albeit with a larger marginal effect for urban residents. (2) Enhancing urban industrial structures, rationalizing industrial structures, and upgrading industrial structures can considerably close the economic disparity between urban and rural areas in the corresponding locations. In light of these findings, policymakers should prioritize optimizing urban industrial structures for broader income growth. Balancing industrial reforms between urban and rural areas is crucial for sustainable economic development.

Evaluating Ecosystem Services Incorporation in River Policy: A Multidimensional Framework Applied to China's River Chief System

ABSTRACTThis study develops a comprehensive evaluation framework to assess the incorporation of river ecosystem services (ESs) into policy content, focusing on China's River Chief System (RCS) policy. The framework introduces a quantitative tool that bridges the gap between policy formulation evaluation and policy effect evaluation by integrating a hierarchical indicator system, reference values, and a method for quantifying ES incorporation. Key findings from 32 province‐level RCS policy documents revealed selective incorporation of certain ES indicators, significant mismatches between policy focus and the typical structure of river ESs, and notable regional disparities. Provisioning services (i.e., water supply) and regulating services (i.e., pollution mitigation) are prioritized, while critical regulating services (e.g., flood mitigation and habitat maintenance) and cultural services (e.g., education and science) are underrepresented. Stakeholder and relationship indicators are limited, primarily focusing on managers and spatial relationships, while the value of river ESs is largely ignored. Policy optimization should emphasize expanding the coverage of ESs, incorporating broader stakeholder involvement, and integrating financial incentives. Drawing on international river policies, policymakers could create a more flexible and adaptive river governance structure. While the study offers a quantitative framework for policy evaluation, it acknowledges limitations, including reliance on textual data and potential biases in the reference values. Future research should include stakeholder perspectives and dynamically adjust reference values as new data become available.

Accounting for health equity in policy evaluation: a content analysis of primary research

Abstract Background Public Health researchers increasingly make use of sophisticated study designs and methods to evaluate the effects of policies on health and social outcomes. Natural experiment evaluation (NEE) conceptualises policies as ‘natural’ experiments that occur outside of the control of researchers. Often, NEE employs quasi-experimental methods (QEM) which enable researchers to rigorously evaluate the effect of population-level interventions. As for other health-related research, it is unclear to what extent such public health evaluations can and do consider the (health) equity implications of policies. We sought to investigate how health equity is addressed in NEEs and other policy evaluations that employ QEM. Methods We identified a random sample of primary research as part of a pre-registered scoping review (https://osf.io/3h6cb/). Studies that employed methods labelled as interrupted time series, difference-in-differences, controlled before and after, regression discontinuity, and synthetic control were included. Through content analysis, we examined how health equity was considered in data analysis and discussion sections. Results We analysed 59 studies, of which 25 were stratified for one or more socially-stratifying factors. Results were mainly stratified by sex (n = 15, 25.4%), age (n = 13, 22%), and diverse measures of socioeconomic status (n = 14, 23.7%), i.e. income, employment, education, or other factors. Of these, 21 studies included a discussion of health equity-related results, ranging from a few sentences to a holistic discussion including recommendations for decision-makers. Most commonly, researchers recommended monitoring of policy effects in different sub-populations, and careful policy design that conceptualises complex policy effects, including unintended and unequitable effects. Conclusions Policy evaluations have great potential for informing public health decision-making but health equity aspects were under-examined in these studies. Key messages • Health equity is assessed by evaluating policy effects in relevant sub-populations. Only 25 of 59 studies included results that were stratified for one or more socially stratifying factors. • Studies that were focused on disadvantaged populations commonly included recommendations for policymakers, calling for better policy design and improved monitoring of policy effects.

The Road to Eliminating Energy Poverty: Does Renewable Energy Technology Innovation Work?

Under the constraint of carbon neutrality targets, the issue of energy poverty has garnered increasing concerns. This study aims to measure energy poverty and assess the impact of renewable energy technology innovation in 30 provinces across China. Furthermore, it calculates city-level energy poverty in 274 cities. By examining the influence of renewable energy technology innovation on energy poverty, this study proposes a new approach to accelerate energy transition and promote sustainable development. The regression results, which have undergone rigorous robustness and endogeneity tests, demonstrate that renewable energy technology innovation significantly alleviates energy poverty. Moreover, the treatment effect of policies is determined through the regression control method. Specifically, the cities of Zhangjiakou, Baotou, and Qiqihar are analyzed to provide targeted suggestions for China’s energy development. The treatment effects of both provincial and city-level policies indicate that implementing renewable energy demonstration zones can effectively alleviate energy poverty. JEL Classification: Q48; O31

Barriers to adopting a plant-based diet in various Finnish sociodemographic groups

Abstract Background According to nutrition recommendations, plant-based diets are favorable for both climate and health. However, the adoption of such diets varies between sociodemographic groups. Aims of this study are to examine how large proportions of the population have shifted towards plant-based diets to combat climate change, and to identify perceived barriers to dietary changes by gender, age, urbanization level, education, and household income. Methods The study is based on the Healthy Finland Survey conducted in 2022-2023, including 5390 participants (56% women) aged 20-74 years. Questions related to plant-based diet had pre-defined response options. Results Women reported that they had changed their diets to be more plant-based more often than men (46% vs. 31%). Women and men living in urban areas, having high education, or belonging to the highest income quartile had made changes more often than those in other sociodemographic groups. Women and men reported barriers in shifting to more plant-based diets, such as uncertainty about nutritional value (20% and 24%) and lacking skills to prepare tasty vegetarian food (30% and 28%). Disliking vegetarian foods (23%) or not being interested in the topic (28%) were also frequent issues in men, while women commonly cited the preferences of their close ones as preventing them from making vegetarian food (17%). These perceived barriers also differed between sociodemographic groups. For example, while uncertainty about nutritiousness of plant-based diets was most common in the oldest age group (29%), lack of skills to prepare tasty vegetarian food was most common in the youngest age group (35%). One third of men living in remote rural areas or with basic education reported not being interested in the topic. Conclusions Understanding barriers that prevent people in different sociodemographic groups from changing their diets to more plant-based is critical in tailoring more targeted and effective health promotion and policy. Key messages • Moving towards more plant-based diets to combat climate change and perceived barriers to dietary changes vary by gender, age, urbanization level, education, and household income. • Understanding barriers preventing people in different sociodemographic groups from changing their diets to more plant-based is critical in tailoring targeted and effective health promotion and policy.

Public-Private Partnerships: A model for injury prevention and safety promotion – Benefitting communities and NGOs

Abstract Injuries are a leading cause of death up to 45years, and 12% of all hospital beds in Norway are dedicated to accident-related treatments. Addressing injuries poses a significant public health challenge, and preventing accidents is crucial for saving money and resources. The Norwegian Act of Public Health mandates that municipalities promote the population’s health and well-being, contribute to favourable environmental conditions, and prevent mental and somatic illnesses and injuries. This is echoed in various laws and regulations, providing a supportive framework for injury prevention and safety promotion. However, translating these laws and regulations into effective policies and preventive activities necessitates collaboration across sectors and levels. To meet these demands, a public-private partnership for safety has been established through five-year cooperation agreements between the Ministry of Health, Finance Norway (Association for financial and insurance industry in Norway), and the Norwegian Safety Forum (NSF). As a non-profit organization, NSF is a national advocate for safety, specializing in home and leisure injury prevention, road safety and Safe Community initiatives in Norway. Program Description The collaboration aims to reduce accidents and injuries. The agreement secures basic financing for NSF and serves as a platform for knowledge sharing and competence building across sectors. It facilitates seminars and meetings to promote learning among different professions, benefiting municipalities and the public. The collaboration leverages the Ministry’s resources, insurance companies’ data and knowledge, and NSF’s expertise to develop injury prevention programs through dialogue with communities and organizations. This model brings together private-public and NGO perspectives. It also provides enhanced possibilities for coordination on both national and community level, enhancing data and knowledge availability and strengthening capacity for safety promotion.

Defaunation impacts on the carbon balance of tropical forests.

The urgent need to mitigate and adapt to climate change necessitates a comprehensive understanding of carbon cycling dynamics. Traditionally, global carbon cycle models have focused on vegetation, but recent research suggests that animals can play a significant role in carbon dynamics under some circumstances, potentially enhancing the effectiveness of nature-based solutions to mitigate climate change. However, links between animals, plants, and carbon remain unclear. We explored the complex interactions between defaunation and ecosystem carbon in Earth's most biodiverse and carbon-rich biome, tropical rainforests. Defaunation can change patterns of seed dispersal, granivory, and herbivory in ways that alter tree species composition and, therefore, forest carbon above- and belowground. Most studies we reviewed show that defaunation reduces carbon storage 0-26% in the Neo- and Afrotropics, primarily via population declines in large-seeded, animal-dispersed trees. However, Asian forests are not predicted to experience changes because their high-carbon trees are wind dispersed. Extrapolating these local effects to entire ecosystems implies losses of ∼1.6 Pg CO2 equivalent across the Brazilian Atlantic Forest and 4-9.2 Pg across the Amazon over 100 years and of ∼14.7-26.3 Pg across the Congo basin over 250 years. In addition to being hard to quantify with precision, the effects of defaunation on ecosystem carbon are highly context dependent; outcomes varied based on the balance between antagonist and mutualist species interactions, abiotic conditions, human pressure, and numerous other factors. A combination of experiments, large-scale comparative studies, and mechanistic models could help disentangle the effects of defaunation from other anthropogenic forces in the face of the incredible complexity of tropical forest systems. Overall, our synthesis emphasizes the importance of-and inconsistent results when-integrating animal dynamics into carbon cycle models, which is crucial for developing climate change mitigation strategies and effective policies.

How do industry and other actors undermine tobacco control policies post-adoption? A scoping review

Abstract Background Over recent decades, many countries have strengthened their tobacco control policies. To be effective, full implementation is needed. Tobacco industry interference is widely recognised as a key barrier to tobacco control progress and evidence-based models like the policy dystopia model (PDM) list industry strategies, focusing on those avoiding and undermining policy adoption. While prior research highlighted industry activities post-adoption, these have not been captured systematically. This review aimed to map the efforts of industry, front groups and other actors to undermine the implementation of policies, including marketing, packaging, smokefree and flavour measures. Methods We searched six literature databases, relevant bibliographies and grey literature, and consulted experts. We included articles describing one or more attempts to undermine adopted policies, including marketing, packaging, smokefree and flavour. The PDM served as starting point for coding; additional strategies were identified inductively. Strategies were charted against aims and policies. Results Several aims and strategies were identified which were similar across policies. Following policy adoption efforts to 1) overturn and 2) weaken measures, and 3) delay implementation continued. Legal strategies were utilised and there were attempts to influence stakeholders. In addition, tobacco industry and other actors sought to 4) undermine policy effectiveness by creating confusion, circumventing policies, and noncompliance, and 5) use implementation as an opportunity to enhance industry reputation. Conclusions Interference from tobacco industry and other actors threatens effective tobacco control policy implementation. The public health community must continue to monitor, expose and counter industry conduct after policy adoption. More research is needed to enhance our understanding of how industry interferes in policy implementation, and how this can be pre-empted and countered. Key messages • The interference from tobacco industry and other actors following policy adoption threatens effective tobacco control, and needs to be monitored, exposed and countered by the public health community. • Policymakers and civil servants need to be wary of efforts to undermine tobacco control policies and act to ensure effective policy implementation.

6.G. Scientific session: The importance of using country-specific severity distributions in burden of disease indicators

Abstract One of the most commonly used health gap summary measures in the field of public health is the Disability-adjusted life year (DALY). It has become the key metric for quantifying the burden of disease (BoD) and is used as an information source for setting priorities for health care and health service planning. The DALY metric quantifies gaps between a theoretical population in perfect health and the current health status related to both morbidity and mortality. It is the sum of the number of healthy life years lost due to disability (YLD) and death (YLL). The YLD summarises the loss of healthy life time using the frequency of diseases differentiated by severities or related health states (including sequelae). Depending on each health state, it converts the time spent with diseases into YLD by weighting each year with health limitation with so-called disability weights. This allows the two indicators YLL and YLD to be added to the DALY. Consequently, severity distributions are a means of describing the range of health loss along specific health states, which enables an accurate mapping with disability weights. For most of the diseases, these distributions are usually categorised as mild, moderate, severe, or no health loss (asymptomatic). Conditions with higher severity levels contribute more to the YLD and thus, to the overall disease specific BoD. The severity distributions are highly dependent on utilization at the individual level, but also on available health care services at the society level, which indicates that differences by settings are to be expected. Changes over time in the share of severe cases, for instance, may reflect the effectiveness of health interventions and policies. This underlines the importance of severity distributions, as they also reflect information about the quality of healthcare for those affected. The Global Burden of Disease (GBD) study applies for a significant proportion of their considered diseases uniform severity distributions across countries and broader regions. They acknowledge concerns over applying estimates of severity distributions based on limited data, noting that it is the only available information that they were able to use. As the YLD estimates are often utilized to develop and prioritize health policy interventions, there is a necessity for country-specific estimates that are evidence based and less susceptible to model assumptions. In most cases, the estimation of severity distributions involves complex methodology as data for such assessments are very limited or hardly reliable. In the following workshop, general concepts and country cases from Germany, Scotland, and Belgium will be presented covering a variety of diseases. The examples underline the importance of estimating national and even regional severity distributions when identifying the importance of diseases or comparing the health conditions of populations across time. Key messages • As the Burden of disease indicators are predominantly used to prioritize health interventions and allocate resources, it is crucial to use accurate information in the severity levels of disease. • Severity distributions reflect the health care services and vary across different settings. Utilising country-specific severity distributions when estimating Burden of Disease indicators is essential.