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This paper describes and defends the counter-hegemonic methods applied to the investigation of a high-profile national policy for Early Education and Care (ECCE) in Ireland. The policy, the Access and Inclusion Model (AIM) seeks to ensure the full inclusion and meaningful participation of children with disabilities in mainstream, state funded ECCE. It makes a significant contribution to data and debate on how research about inclusion can become inclusion in the context of policy evaluation. The design of the policy evaluation included surveys, in depth interviews and qualitative case studies of pre-schools and children supported by AIM which were deliberately designed to be counter-hegemonic through the recruitment of practitioners as co-researchers (as expert representatives within a feminised workforce), and the use of a participative method of elicitation that sough the perspectives and lived experiences of inclusion among fourteen children supported by AIM. This method was multi-modal mapping. With a focus on these counter-hegemonic elements, the paper poses questions about how the approach was counterhegemonic in terms of its theoretical underpinning, practical approach, and outcomes. Thematic analysis of the data collected by practitioner researchers for the child case studies showed that the approach did achieve counter-hegemony through the achievement of redistribution, representation, and recognition in both the enactment of the research, and in the reporting of children's lived experience in the study as a whole. However, the extent of counter-hegemony achieved was limited when practitioner researchers were unable to deploy the multi-modal mapping method because of limited time, or because the child was not a speaker of English or was as yet, non-speaking. In a context where policy makers have a preference for positivist and rationalist approaches to evaluating the impact of policies, we assert that research about policies for inclusion, should be enacted as inclusion and social justice through the deliberate deployment of participatory and counter-hegemonic methods. We also assert that multi-modal mapping holds particular promise for researching the lived experience of inclusion and participation from the perspective of children and argue that more work needs to be done on developing these methods so that they are effective with all children, including those who are non-speaking. Finally, we posit that Fraser's triune model of social justice can be applied as a benchmark for designing and evaluating counter-hegemonic modii and outcomes. [ABSTRACT FROM AUTHOR]

The marine economic development demonstration zone (MEDDZ) is the regional marine functional policy that assumes the significant tasks of innovation in the system and mechanism of the marine economy, optimization of the marine industrial structures, and the construction of marine ecological civilization. This paper constructs a panel database of 11 coastal provinces in China from 2006 to 2019, takes the Zhejiang Marine Economy Development Demonstration Zone Plan officially approved by the State Council of China in 2011 as a quasi-natural experiment, applies the synthetic control method (SCM) to evaluate the effect of implementation of the MEDDZ policy on marine industrial structure optimization in Zhejiang. The results show that: (1) The MEDDZ policy significantly promotes the structure optimization of the marine industry in Zhejiang and the existence of the policy lag phenomenon. (2) Based on the results of the robustness tests, we find that the fitted path of policy effects is better when the time of MEDDZ implementation is adjusted to 2012. (3) Government financial support and marine cargo capacity play a role in implementing the MEDDZ policy, positively affecting and optimizing the coastal marine industry's structure. Therefore, we make some suggestions from the perspectives of strengthening the policy implementation process, focusing on the policy lag phenomenon, and broadening funding sources, thus enriching theoretical research on policies in the field of the marine industry and providing practical references for the development of other coastal demonstration zones. [ABSTRACT FROM AUTHOR]

Collaborative reduction of carbon and air pollutants can more efficiently achieve green technological change, industrial low-carbon transition, and high-quality economic and social development. As a typical environmental policy in China, the pilot carbon Emission Trading Scheme (ETS) has obvious advantages in achieving the collaborative reduction of carbon and air pollutants. Therefore, an evaluation of China's pilot carbon ETS from the perspective of collaborative reduction of carbon and air pollutants is performed in this paper. Compared with previous studies, first, this study innovatively uses the coupled coordination degree (CCD) model to measure the collaborative reduction level of carbon and air pollutants under different scenarios based on the panel data of China's 30 provincial-level regions during 2004–2018. Second, this study uses the DID method to evaluate the impact of China's pilot carbon ETS on the collaborative reduction of carbon and air pollutants and conducts some robustness checks and regional heterogeneity regressions. Third, this study uses the synthetic control method (SCM) further to examine the policy outcomes of the pilot carbon ETS. Scenario analysis shows that attaching importance to reducing air pollution will improve the collaborative reduction effect of carbon and air pollutants. Furthermore, the implementation of China's pilot carbon ETS exerts an effect of roughly 24.7% on reducing carbon, roughly 10.1% on reducing air pollutants, and roughly 22.0% on the collaborative reduction of carbon and air pollutants, ceteris paribus. Regional heterogeneity analysis shows that the impacts of the pilot carbon ETS are significant in all regions, except that the impact on reducing air pollutants in the central region is not significant. In addition, results from SCM indicate that the impacts of the pilot carbon ETS on the collaborative reduction of carbon and air pollutants are significantly efficient in Beijing, Tianjin, Shanghai, Hubei, and Chongqing, while not much efficient in Guangdong and Fujian. The main policy implications include strengthening the top-level design of the ETS in the collaborative reduction of carbon and air pollutants, attaching importance to the governance of air pollution, making the regional governance more targeted, and improving energy efficiency. [ABSTRACT FROM AUTHOR]

Copyright of Sociology & Technoscience / Sociología y Tecnociencia is the property of Universidad de Valladolid, Escuela Universitaria de Educacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This chapter begins with an overview of recent developments that have encouraged and facilitated greater use of research syntheses, including Meta-Analysis, to guide public policy and practice in education, workforce development, and social services. It discusses the role of Meta-Analysis for improving knowledge of the effectiveness of programs, policies, and practices and the applicability and generalizability of that knowledge to conditions other than those represented by the study samples and settings. The chapter concludes with recommendations for improving the potential of Meta-Analysis to accelerate knowledge development through changing how we design, conduct, and report findings of individual studies to maximize their usefulness in Meta-Analysis as well as how we produce and report Meta-Analysis findings. The paper includes references to resources supporting the recommendations. [ABSTRACT FROM AUTHOR]

Ecological civilization construction is an important dimension to achieve high-quality economic development. This paper evaluates the eco-efficiency improvement effect of China's ecological civilization pilot zone policy utilizing the synthetic control method (SCM) differences-in-differences method (DID) and examines the influence mechanism of ecological civilization pilot zones on eco-efficiency in the light of the environmental pollution penalty, green technological innovation, and environmental publicity and education. The study results indicate that the construction of the ecological civilization pilot zone policy has substantially boosted eco-efficiency in the pilot areas, with the strongest boosting effect on eco-efficiency in Fujian province, followed by Guizhou province, and not significantly on eco-efficiency in Jiangxi province. Further, this paper also reveals that the construction of ecological civilization pilot zones has effectively contributed to eco-efficiency through channels such as strengthening the environmental pollution penalty, stimulating green technological innovation, and broadening environmental publicity and education. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals, adopted by all United Nations Member States, emphasize sustainable cities and communities, aiming to strengthen development planning and foster positive links between urban and rural areas by 2030. As the newly leading platform for urbanization development, characteristic towns ('Tese Xiaozhen' in Chinese) contribute to the target of sustainable urbanisation, wherein town policies are especially important for leading the sound development of characteristic towns. However, the effect of these characteristic towns policies remains uncertain. Additionally, most related studies have utilized qualitative methodologies in policy evaluation, which may be inadequate to guide actual practice. Thus, in order to accurately acknowledge the effect of characteristic towns policies, a policy evaluation framework is established in this paper, utilising the multiple streams theory, text mining and the Policy Modelling Consistency Index model (PMC-Index model). Then, taking 225 policy documents promulgated in China from 2015 to 2022 as the research objects, policy evaluation indicators were selected by combining the multiple streams theory to improve the PMC-Index model and a text mining method. Thereafter, an empirical analysis was conducted to evaluate the consistency of 10 characteristic towns policies chosen. The results indicate that the mean value of the PMC indexes of the 10 examined policies is 7.13 in the total of 9 points, which means that the general performance of the characteristic town policies is satisfactory, yet the low scores in terms of effectiveness, content, and guarantee. In the end, some recommendations and suggestions are proposed for clarifying administrative attributes, optimizing the integration of urban and rural resources, and adjusting the policy hierarchy to a bottom-up approach. This study not only provides a policy evaluation framework to comprehensively understand the consistency of global urbanization policies but also offers a beneficial reference for promote urban–rural sustainable development. [ABSTRACT FROM AUTHOR]

Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings' distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted. [ABSTRACT FROM AUTHOR]

This paper studies a central issue in modern reinforcement learning, the sample efficiency, and makes progress toward solving an idealistic scenario that assumes access to a generative model or a simulator. Despite a large number of prior works tackling this problem, a complete picture of the trade-offs between sample complexity and statistical accuracy has yet to be determined. In particular, all prior results suffer from a severe sample size barrier in the sense that their claimed statistical guarantees hold only when the sample size exceeds some enormous threshold. The current paper overcomes this barrier and fully settles this problem; more specifically, we establish the minimax optimality of the model-based approach for any given target accuracy level. To the best of our knowledge, this work delivers the first minimax-optimal guarantees that accommodate the entire range of sample sizes (beyond which finding a meaningful policy is information theoretically infeasible). This paper is concerned with the sample efficiency of reinforcement learning, assuming access to a generative model (or simulator). We first consider γ-discounted infinite-horizon Markov decision processes (MDPs) with state space S and action space A. Despite a number of prior works tackling this problem, a complete picture of the trade-offs between sample complexity and statistical accuracy has yet to be determined. In particular, all prior results suffer from a severe sample size barrier in the sense that their claimed statistical guarantees hold only when the sample size exceeds at least | S ‖ A | (1 − γ) 2 . The current paper overcomes this barrier by certifying the minimax optimality of two algorithms—a perturbed model-based algorithm and a conservative model-based algorithm—as soon as the sample size exceeds the order of | S ‖ A | 1 − γ (modulo some log factor). Moving beyond infinite-horizon MDPs, we further study time-inhomogeneous finite-horizon MDPs and prove that a plain model-based planning algorithm suffices to achieve minimax-optimal sample complexity given any target accuracy level. To the best of our knowledge, this work delivers the first minimax-optimal guarantees that accommodate the entire range of sample sizes (beyond which finding a meaningful policy is information theoretically infeasible). Funding: Y. Wei is supported in part by the Google Research Scholar Award and the National Science Foundation [Grants CCF-2106778, DMS-2147546, and DMS-2143215]. Y. Chi is supported in part by the Office of Naval Research [Grants N00014-18-1-2142 and N00014-19-1-2404] and the National Science Foundation [Grants CCF-1806154, CCF-2007911, and CCF-2106778]. Y. Chen is supported in part by the Alfred P. Sloan Foundation [research fellowship], Google [research scholar award], the Air Force Office of Scientific Research [Grants FA9550-19-1-0030 and FA9550-22-1-0198], the Office of Naval Research [Grant N00014-22-1-2354], and the National Science Foundation [Grants CCF-2221009, CCF-1907661, DMS-2014279, IIS-2218713, and IIS-2218773]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/opre.2023.2451. [ABSTRACT FROM AUTHOR]

The aim was to analyse and improve the Primary Health Care (PHC) response to domestic violence against women (DVAW) by developing, implementing and evaluating an intervention. A pilot study evaluating the before and after of intervention implementation, using mixed methods and carried out in three phases – formative, intervention and evaluation – between August 2017 and March 2019 in two Basic Health Units (UBS) in the city of São Paulo. In this paper, we present the details and evaluation of the intervention, carried out six to twelve months after its implementation. The intervention was developed based on the findings of the formative phase and in line with the health policy that establishes the Violence Prevention Nucleus (NPV) and consisted of stablishing a care pathway; general training for all workers and specific training for the NPV; drawing up educational material and monthly case discussions over 6 months. The evaluation showed acceptability among the workers, increased identification and repertoire for caring for cases of DVAW, strengthening internal referral and the intersectoral network. We identified obstacles to the full implementation and sustainability of the intervention. [ABSTRACT FROM AUTHOR]

Kinship structures among Two-Spirit, lesbian, gay, bisexual, transgender, queer, and intersex (2SLGBTQI+) individuals differ from conventional nuclear families. Heteronormative models of family and cohabitation impact housing options, resulting in the marginalization of queer households in Canada. This paper examines systemic factors in federal, provincial, and municipal policies, focusing on two specific policies: Multigenerational Home Renovation Tax Credit and Expanding Housing Options in Neighbourhoods, which limit housing provision for 2SLGBTQI+ individuals. Using Toronto as a case study, it evaluates how these policies affect the household needs of 2SLGBTQI+ adults based on queer kinship and identifies opportunities for change. [ABSTRACT FROM AUTHOR]

This paper estimates the dynamic effect of vaccination on mortality from COVID-19 using weekly data from 26 European Union countries during 2021. Our analysis relies on the double machine learning method to control for multiple confounders, including nonpharmaceutical interventions, climate variables, mobility factors, variants of concern, country- and week-specific shocks. In our baseline specification, we show that a 10 percentage point increase in cumulative doses per hundred inhabitants averts 5.08 COVID-19 deaths per million inhabitants at the eight-week horizon and 26.41 deaths in the eight-week time window considered. The average reduction in mortality in this window is close to 50%. Further estimates reveal that the effect of doses administered to adults aged 18–59 does not statistically differ from that of doses received by people aged 60 and over. Finally, vaccine-specific estimates document that mRNA-1273 (Moderna) and Vaxzevria (AstraZeneca) are more cost-effective in saving lives than Comirnaty (Pfizer), while we are unable to demonstrate any effect of Ad26.COV2.S (Johnson & Johnson). [ABSTRACT FROM AUTHOR]

The effectiveness of carbon price in emissions trading schemes (ETS) is an important issue in China in the context of its ambitious climate change goals. This paper adopts a staggered difference-in-differences model to estimate whether China's ETS reduced CO2 emissions while maintaining economic growth even under low carbon prices. The results indicate that despite the low carbon prices, the ETS effectively reduced CO2 emissions without undermining the economy. Specifically, an increase of $1 in the carbon price reduced CO2 emissions by 1.69% and increased the per capita GDP by $286. The carbon price primarily achieved emission reduction and promoted economic development through channels, such as technological innovation, foreign direct investment, energy mix, and industrial structure. Carbon leakage to neighboring regions was not evident. Heterogeneity analysis showed that the environmental effects of the carbon price were more pronounced in regions with higher levels of economic development and CO2 emissions. Conversely, the economic effects of the carbon price were more pronounced in regions with lower levels of economic development and CO2 emissions. The carbon price achieved significant economic effects in regions that solely adopted the free allocation mode of emission allowances, while regions that used a combination of free allocation and auctioning experienced substantial emission reduction effects. Despite low carbon prices, China's ETS effectively reduced CO2 emissions without compromising economic growth. This finding provides new empirical evidence for the effectiveness of carbon price as well as decision support for the future promotion of ETS. Technological innovation, FDI, energy mix, and industrial structure are crucial channels through which the carbon price achieves emission reduction and promotes economic development. The absence of carbon leakage to neighboring regions suggests that ETS is an internally effective mechanism for emission control. Heterogeneity analysis showed that regional characteristics and allowance allocation modes can influence the effectiveness of carbon price, thus emphasizing the importance of targeted policy design and appropriate allocation methods. [ABSTRACT FROM AUTHOR]

We report on a recent innovation for one Departmental Select Committee. While government policy commitments are well publicised, little attention is paid to the quality of commitments made or to assessing progress against those commitments. In 2020, the Health and Social Care Select Committee commissioned an Expert Panel to conduct independent, in-depth evaluations of government progress on selected policy commitments. The first evaluations in 2021/22 assessed commitments in maternity, mental health and cancer services, and workforce and it was the first time a government department has been systematically graded against its own commitments. This is an important new method of scrutiny with the potential to complement and enhance the work of Select Committee inquiries. This paper reviews the development of select committees highlighting issues relating to their operation and, in particular, assessment of evidence. We describe the innovation of the Expert Panel and its role in reviewing policy commitments and discuss implications for parliamentary scrutiny, leadership and improvements to health service. [ABSTRACT FROM AUTHOR]

Economic high-quality and low-carbon development stand as strategic priorities for urban advancement within the context of dual carbon goals. Administrative territorial adjustments have emerged as a robust instrument in China's urbanization drive over recent decades. Nevertheless, scant attention has been given to its impact on urban low-carbon development. This paper employs a multi-period DID model to investigate the effect of the "City-County Merger" policy (CCMP) on urban carbon emissions, while also exploring potential channels and heterogeneity characteristics. The findings of this study are unequivocal: the implementation of the CCMP has proven to be a potent strategy in effectively curbing urban carbon emissions. This conclusion remains robust after a series of robustness tests. Furthermore, the study identifies certain channels that play a pivotal role in moderating the nexus between the CCMP and urban carbon emissions, including enhancing government intervention, optimizing urban energy structure, and improving urban (green) technology innovation. The heterogeneity analysis shows that CCMP yields heightened effectiveness in small and medium-sized cities, non-resource-based cities, and cities in the eastern and western regions. This study serves to provide nuanced insights, offering both theoretical underpinnings and pragmatic recommendations to propel the effective implementation of the CCMP. [ABSTRACT FROM AUTHOR]

Normative welfare economics commonly assumes that individuals' preferences can be reliably inferred from their choices and relies on preference satisfaction as the normative standard for welfare. In recent years, several authors have criticized welfare economists' reliance on preference satisfaction as the normative standard for welfare and have advocated grounding normative welfare economics on opportunities rather than preferences. In this paper, I argue that although preference-based approaches to normative welfare economics face significant conceptual and practical challenges, opportunity-based approaches fail to provide a more reliable and informative foundation for normative welfare economics than preference-based approaches. I then identify and rebut various influential calls to ground normative welfare economics on opportunities rather than preferences to support my qualified defence of preference-based approaches. [ABSTRACT FROM AUTHOR]

This paper evaluates the risk of zombification of the French economy during the COVID-19 pandemic crisis, as a result of the unconditional financial support provided to firms by public authorities, to limit the impact of lockdown measures. We develop a simple theoretical framework based on a partial-equilibrium model to simulate the liquidity and solvency stress faced by a large panel of French firms and assess the impact of government support. Simulation results suggest that those policies helped healthy but illiquid firms to withstand the shock caused by the pandemic. Moreover, the analysis finds no evidence of a "zombification effect", as less productive companies did not disproportionately benefit from government support. [ABSTRACT FROM AUTHOR]

The importance of small- and medium-sized enterprises (SMEs) from economic, social, and environmental point of views and the crucial role of energy efficiency are widely recognized. However, the development of effective policies and their analysis are still challenging topics, for which research is relatively scarce. The main reasons for this are the high heterogeneity of SMEs, their low energy impact compared with energy-intensive enterprises, the lack of quantitative in-formation on the energy consumption of SMEs, and the low awareness of SMEs on energy topics. The structural paradigm change in the energy markets has underlined the importance of EE in SMEs. Several studies have been devoted to analyzing EE policies, using different methods and targets, not necessarily with a focus on SMEs or quantitative figures. This study presents a scoping review aimed at mapping the scientific literature on this topic, assessing its volume, nature, characteristics, type of evidence available, key concepts, and possible gaps. The existing contributions were systematized on three assessment levels regarding the EE policies for SMEs: general framework for their classification; comprehensive analysis of contributions providing qualitative information; in-depth analysis of evaluation studies including quantitative information. This study highlights the need for a good balance between economic and supportive mechanisms and the crucial role of energy audits. The analyzed contributions show that despite SMEs' efforts to develop EE policies, there are still important barriers to be addressed. Moreover, there is an important lack of quantitative analyses, which are necessary for the development a harmonized policy evaluation approach. Based on a synthesis of the review findings, key learnings for the better design, implementation, and evaluation of EE policies for SMEs are provided. [ABSTRACT FROM AUTHOR]

AbstractIn recent decades, there has been a global policy shift away from supply-side housing assistance towards demand-side cash subsidies. However, there has been insufficient empirical evidence on whether cash transfer has a critical advantage over the direct supply of subsidised housing in alleviating low-income renters’ immediate housing difficulties. This paper examines and compares the effects of supply- and demand-side housing subsidies on multidimensional housing problems among the lowest-income households in South Korea using longitudinal survey data. Our difference-in-differences analyses combined with propensity score matching demonstrate that public rental housing improves the recipients’ housing quality while it exacerbates housing cost burden and overcrowding. Meanwhile, the cash subsidy failed to enhance the recipients’ housing quality or lessen their housing cost burden, but it aggravated overcrowding. The study showed that different types of housing subsidies have different immediate housing outcomes, suggesting that the rationale for the ongoing global policy redirection towards demand-side subsidies needs to be reconsidered in the local context. [ABSTRACT FROM AUTHOR]

This paper investigates how the overall impact of the European Cohesion Policy depends on the composition of the regional investment in Hard (infrastructure) and Soft (business and technical support) projects. The study employs a generalized propensity score (GPS) analysis in a multidimensional treatment context. In particular, the two dimensions considered are given by the Hard and Soft investments. The GPS estimation is based on a set of relevant idiosyncratic features of the regions. The second step estimates a dose–response function in a two‐dimensional setting. The results confirm the existence of nonlinearities in the effect of different amounts of funds, but more importantly, show a degree of complementarity between Hard and Soft investment and that for policymakers, it is crucial to exploit such features to achieve more significant impact. The EU's more developed regions could have achieved a doubled GDP p.c. growth rate by pursuing a policy mix where Hard investments are reduced in favor of Soft investments. This improvement is comparable to the one obtained by at least doubling the available resources. The findings add to the evidence collected on the impact of the Cohesion Policy, suggesting a shift of the debate from the quantity to the quality of the expenditure pursued under the umbrella of territorial policies. [ABSTRACT FROM AUTHOR]

Context: The capacity of a landscape to maintain multifunctionality through ongoing pressures relates to its sustainability and is affected by land use policy and environmental changes. In coastal zones, limited empirical evidence exists regarding the impact of macro-level policy changes on local landscapes and their resulting temporal and spatial responses. Objectives: This paper investigates the impact of national and provincial policies on local landscape patterns in China’s Zhejiang coastal zone, encompassing human expansion and ecological restoration in terms of landscape sustainability. Methods: A cluster-based landscape pattern mining is conducted from 1990 to 2020 using Google Earth Engine, which is coupled with a historical policy classification analysis. Results: Coastal zone policies evolved in three stages: development-oriented (1990–2010), conservation turning (2010–2017), and land-sea coordination (2017-present). Consequently, significant temporal and spatial differences in local landscape changes are observed. Artificial surface expansion aligned with these stages, especially in Hangzhou Bay, Xiangshan Bay, and Sanmen Bay. Expansion responded more swiftly to development-stimulating policies, exhibiting longer-lasting effects. Conservation policies faced delays due to conflicting interests, varied implementation entities, unsynchronized cycles, and a lack of coordinated conservation priorities across terrestrial and marine domains. Conclusions: This study provides insights into the processes and patterns of human expansion and ecological restoration in coastal zones, offering implications for coastal policies and landscape sustainability. It facilitates an evaluation of the effectiveness of coastal zone policy implementation and suggests differentiated sustainable transformation plans. Moreover, it underscores the need to strengthen coordination between sea and land development for effective coastal zone management and sustainability. [ABSTRACT FROM AUTHOR]

Copyright of Informacion Comercial Espanola Revista de Economia is the property of S.G.E.E.I.P.C., Secretaria de Estado de Comercio, Ministerio de Industria, Comercio y Turismo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since General Secretary Xi Jinping pledged the "30·60" targets to the world, the importance of pollution reduction and carbon reduction has become increasingly prominent. The previous focus on the pollution reduction effects of emission trading systems, while overlooking their carbon reduction impacts, as well as the limitations of research methods and scope, is no longer suitable for the needs of the new era. Therefore, this paper constructs a CGE model to study the synergistic effects, simulating the synergistic emission reduction effects of sulfur dioxide emission trading policies, and comes to the following conclusions: After the implementation of the sulfur dioxide emission trading mechanism, under different sulfur price scenarios, the synergistic reduction amounts of SO 2 and CO 2 vary greatly. As the sulfur price increases, the reduction amount becomes larger. In the five sulfur price scenarios set in this paper, the maximum reduction of SO 2 can reach about 111,400 tons, and the maximum for CO 2 is about 399 million tons. The CO 2 reduction rate is approximately 1.0767 times that of SO 2. This indicates that the sulfur dioxide emission trading policy is a very effective path for synergistic pollution and carbon reduction, with good reduction effects. In addition, sulfur dioxide emission trading will reduce the consumption of fossil energy, decrease industry output, raise product prices, cause GDP loss, and lead to reduced social welfare to varying degrees. [ABSTRACT FROM AUTHOR]

This paper describes and defends the counter-hegemonic methods applied to the investigation of a high-profile national policy for Early Education and Care (ECCE) in Ireland. The policy, the Access and Inclusion Model (AIM) seeks to ensure the full inclusion and meaningful participation of children with disabilities in mainstream, state funded ECCE. It makes a significant contribution to data and debate on how research about inclusion can become inclusion in the context of policy evaluation. The design of the policy evaluation included surveys, in depth interviews and qualitative case studies of pre-schools and children supported by AIM which were deliberately designed to be counter-hegemonic through the recruitment of practitioners as co-researchers (as expert representatives within a feminised workforce), and the use of a participative method of elicitation that sough the perspectives and lived experiences of inclusion among fourteen children supported by AIM. This method was multi-modal mapping. With a focus on these counter-hegemonic elements, the paper poses questions about how the approach was counterhegemonic in terms of its theoretical underpinning, practical approach, and outcomes. Thematic analysis of the data collected by practitioner researchers for the child case studies showed that the approach did achieve counter-hegemony through the achievement of redistribution, representation, and recognition in both the enactment of the research, and in the reporting of children’s lived experience in the study as a whole. However, the extent of counter-hegemony achieved was limited when practitioner researchers were unable to deploy the multi-modal mapping method because of limited time, or because the child was not a speaker of English or was as yet, non-speaking. In a context where policy makers have a preference for positivist and rationalist approaches to evaluating the impact of policies, we assert that research about policies for inclusion, should be enacted as inclusion and social justice through the deliberate deployment of participatory and counter-hegemonic methods. We also assert that multi-modal mapping holds particular promise for researching the lived experience of inclusion and participation from the perspective of children and argue that more work needs to be done on developing these methods so that they are effective with all children, including those who are non-speaking. Finally, we posit that Fraser’s triune model of social justice can be applied as a benchmark for designing and evaluating counter-hegemonic modii and outcomes.

Typical quantitative evaluations of public policies treat policies as a binary condition, without further attention to how policies are implemented. However, policy implementation plays an important role in how the policy impacts behavioral and health outcomes. The field of policy-focused implementation science is beginning to consider how policy implementation may be conceptualized in quantitative analyses (e.g., as a mediator or moderator), but less work has considered how to measure policy implementation for inclusion in quantitative work. To help address this gap, we discuss four design considerations for researchers interested in developing or identifying measures of policy implementation using three independent NIH-funded research projects studying e-cigarette, food, and mental health policies. Mini case studies of these considerations were developed via group discussions; we used the implementation research logic model to structure our discussions. Design considerations include (1) clearly specifying the implementation logic of the policy under study, (2) developing an interdisciplinary team consisting of policy practitioners and researchers with expertise in quantitative methods, public policy and law, implementation science, and subject matter knowledge, (3) using mixed methods to identify, measure, and analyze relevant policy implementation determinants and processes, and (4) building flexibility into project timelines to manage delays and challenges due to the real-world nature of policy. By applying these considerations in their own work, researchers can better identify or develop measures of policy implementation that fit their needs. The experiences of the three projects highlighted in this paper reinforce the need for high-quality and transferrable measures of policy implementation, an area where collaboration between implementation scientists and policy experts could be particularly fruitful. These measurement practices provide a foundation for the field to build on as attention to incorporating measures of policy implementation into quantitative evaluations grows and will help ensure that researchers are developing a more complete understanding of how policies impact health outcomes.

This paper presents a micro-econometric framework to analyse choice data from participatory value evaluation (PVE) surveys. In a PVE survey respondents receive, similar to stated choice surveys, information on the social impacts of public sector projects before choosing the best policy portfolio according to their preferences. Respondents' choices are limited by governmental and private budget constraints. The PVE data format is characterised by a mixture of discrete and continuous choice data. Building on recent literature of Kuhn–Tucker models, particularly the MDCEV model, a range of methodological and econometric contributions are provided facilitating model estimation and policy evaluation. We derive a set of closed form choice probabilities explaining the choice for the optimal portfolio with public projects, private consumption levels and whether to spend the public budget in full or not. The proposed policy evaluation framework is centred around the notion of social welfare maximisation. The parameter estimates are used to derive the optimal public sector budget and the corresponding portfolio maximising social welfare, but also to rank the set of feasible portfolios given a restricted budget, including sensitivity analyses. The proposed framework is illustrated using an empirical example on urban mobility investments in Amsterdam, The Netherlands. • Participatory Value Evaluation (PVE) is an evaluation method for public policies. • Individuals choose a portfolio of transport projects subject to a (public) budget constraint. • Closed form choice probabilities are derived for the chosen policy portfolio. • Policy evaluation identifies the optimal portfolio and attractiveness of individual projects. • Respondents show a strong preference for projects improving traffic safety and cycling. [ABSTRACT FROM AUTHOR]

This paper provides a sound ex-post evaluation of the impact of the Eurasian integration on member countries' bilateral trade after a decade of implementation. We overcome the main limitations of current empirical analyses on the effects of trade agreements, namely the aggregation of tariff and non-tariff barriers and the likely self-selection bias, by applying a non-parametric method specifically designed to fully exploit time-series cross-sectional data. We thus compare the trade flows of the member countries in the Eurasian agreement with the exporter-importer pairs located in the Eurasian continent, which are most similar in terms of pre-treatment trends and features. Our results confirm the previous literature about the lack of a significant impact of the Eurasian customs union but find more positive net effects of the more recent integration steps. Our results ask for additional efforts to complete the Eurasian integration and let its member countries fully benefit from its hoped-for long-term effects. [ABSTRACT FROM AUTHOR]

Bangladesh is going through an unprecedented period of urban growth, and its cities are having to deal with rising service, housing, and infrastructural needs. It is critical to comprehend how urban government promotes sustainable development as the nation struggles with the intricacies of urbanization. This study aims to investigate how urban governance impacts sustainable urbanization at the city corporation level in Bangladesh, focusing on Goal 11 of the Sustainable Development Agenda, which is "sustainable cities and communities." The study selected Rajshahi and Gazipur City Corporations as case studies and employed Principal Component Analysis (PCA) and descriptive statistics methods to gather data from primary and secondary sources. The findings of the study reveal gaps in urban governance, highlighting inconsistencies between the expectations of stakeholders and the reality on the ground. Stakeholders express high expectations for housing access, infrastructure development, disaster management, transportation, and environmental sustainability, but the current state falls short in several areas. Further, the study proposes several recommendations to enhance urban governance, including fostering participatory approaches, ensuring sufficient budget allocation for infrastructure development, addressing housing challenges, enhancing women's safety in transportation, and strengthening disaster management systems. [ABSTRACT FROM AUTHOR]

Mitigating greenhouse gas emissions and reducing air pollution represent two pressing and interwoven environmental challenges. While international carbon markets, such as the European Union emissions trading system (EU ETS), have demonstrated their effectiveness in curbing carbon emissions (CO2), their indirect impact on hazardous copollutants remains understudied. This study investigates how key toxic air pollutants--sulfur dioxide (SO2), fine particulate matter (PM2.5), and nitrogen oxides (NOx)-- evolved after the introduction of the EU ETS with a comparative analysis of regulated and unregulated sectors. Leveraging the generalized synthetic control method, we offer an ex post analysis of how the EU ETS and concurrent emission standards may have jointly generated sizable pollution reductions in regulated sectors between 2005 and 2021. We provide an aggregate assessment that these pollution reductions could translate into large health co-benefits, potentially in the hundreds of billions of Euros, even when bounding the effect of emission standards. These order-of-magnitude estimates underscore key implications for policy appraisal and motivate further microlevel research around the health co-benefits of carbon abatement. [ABSTRACT FROM AUTHOR]

The proliferation of government policies to manage immigration has led to the emergence of an interdisciplinary literature that evaluates policy effects on immigrant integration. This review synthesizes findings from evaluations of policies regulating legal status and citizenship, the labor market, welfare, settlement, education, and cultural rights. It concludes that policies lowering immigrants' costs of adjustment to the host country are consistently more effective in promoting integration than policies incentivizing immigrant effort through withholding resources and regulating access to rights. Policy changes the behavior of both immigrants and native-born citizens through material and psychological pathways, and considering the decision making of each side and their interdependence is crucial for understanding why estimated effects of the same policy differ across contexts and for anticipating unintended consequences. For external validity and useful counterfactuals, a closer connection is needed between empirical research and theoretical models that explicitly account for the equilibrium nature of integration. [ABSTRACT FROM AUTHOR]

Background: Policymakers are tasked with both driving the rapid expansion of renewable energy technologies and, additionally channelling the limited national potential of biomass into areas where it can provide the greatest benefit to the energy system. But do current policy instruments promote the use of biomass in these areas? As biomass is limited, its use must be sustainable without leading to further biodiversity loss or depleting forest or soil resources. In this study, short-term energy scenarios are generated using the BenOpt model, which take into account both current and alternative policy instruments under limited biomass utilisation. The results are compared with long-term, cost-optimal energy scenarios for the use of biomass. Results: The analysis reveals that the instrument of a GHG quota does not promote the use of biofuels in hard-to-electrify areas of the transport sector, where they should be cost-optimally allocated according to long-term energy scenarios. Biofuels are promoted for use in passenger road transport and not in the shipping or aviation sector. In contrast, alternative policy scenarios indicate that the sole instrument of a high CO2 price is more conducive to direct electrification and could displace more fossil fuels by 2030 than the GHG quota alone. This instrument also promotes the optimal use of biogas plants in the power sector in accordance with long-term cost-optimal developments. Conclusions: The instrument of a GHG quota might lead to counterproductive developments in passenger road transport, but it also helps to ramp up the biofuel capacities required in shipping and aviation in the long term. However, it does not provide the necessary incentives for the ramp-up of battery electric vehicles, which would be the cost optimal solution in passenger road transport according to the long-term scenarios. Even though alternative policy scenarios show that the sole instrument of a high CO2-price is more conducive to direct electrification, a high CO2 price alone is not enough (e.g. in the heat sector) to promote the efficient use of biomass instead of simply covering the base load demand. [ABSTRACT FROM AUTHOR]

Copyright of Invest Journal of Sharia & Economic Law is the property of Invest Journal of Sharia & Economic Law and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Improving and optimizing the policy system of combined medical and nursing care (CMNC) is an important driving force in the development of China's pension industry. Using a latent Dirichlet allocation–policy modeling consistency model, this study analyzes 25 key policies related to CMNC to develop a policy evaluation index system and evaluates the CMNC policies of four provinces in China: Shandong, Sichuan, Jiangsu, and Hubei. It highlights issues facing China's CMNC policy, including the poor use of policy tools, insufficient publicity, lack of insurance protection for employees, and lack of local policies' pertinence. Finally, a policy optimization path is proposed. [ABSTRACT FROM AUTHOR]

Reparations policies that seek to make amends for a harm incurred face exigent challenges. In this article we focus on what makes reparations successful and what policy components are necessary, if not sufficient, for success. To study the success of reparations policy design we employ a case study approach. Our analysis investigates the motivation, design, implementation, and impact of past policies to understand what has been successful or unsuccessful within each component of the policy in each historical case. Ultimately, our discussion identifies patterns in the creation and execution of reparations policy that offer important considerations for policies that would provide reparations to Black Americans. [ABSTRACT FROM AUTHOR]

In Italy, the environmental sustainability of the agricultural sector is regulated by the National Integrated Production Quality System. It is the foundation of the regional Integrated Production Regulations (IPRs), which identify voluntary agronomic strategies on the use of pesticides, fertilisers, and irrigation water, as well as on soil and plant management. The aim is a reduction in the environmental impacts of the agricultural processes and an increase in the production quality. However, the direct relationship between environmental and economic sustainability of the regional IPRs is not obvious and its absence could weaken the economic efficiency of firms. The study, through the stochastic frontier (SF) method, investigates the possible inefficiencies of the regional winegrowing firms that voluntarily adhere to the Apulian IPRs. The results highlight that some measures in the IPRs aimed at preserving the local agroecosystems (soil management and use of resistant varieties) are efficient, therefore allowing for an increase in the production value and quality. On the contrary, crucial measures concerning the management of irrigation water and pesticides decrease efficiency. Thus, more thoughtful measures are requested by policy makers to improve the economic impacts of the regional IPRs on firms and to make possible a certain convergence between environmental and economic sustainability. [ABSTRACT FROM AUTHOR]

Increasing port pollution has forced governments to enact policies related to green ports to maintain the sustainability of maritime transportation. In this article, we established a policy evaluation system based on the PMC (policy modeling consistency) index model to evaluate 17 green port-related policies currently enacted on coastal China, providing a new perspective on existing maritime policy evaluations. The results show that the average overall consistency of the policies is 7.16 with "good" performance, and no policy is "low" consistency. While this suggests that the existing policy design is sound, some deficiencies exist, such as insufficient cooperation between governments and insufficient emphasis on incentives. We provide recommendations for improvement based on these deficiencies and analyzed and optimized every policy in detail. Meanwhile, we found that policy texts from southern ports perform better, contrary to the previous view. The discovery could be a good entry point for future research. We also offer some suggestions for the development of green ships in China. The research makes these contributions and may provide some insights for policymakers. [ABSTRACT FROM AUTHOR]

Copyright of Educational Policy Forum is the property of National Chi Nan University, Department of Education Policy & Administration and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Cannabis use before the COVID-19 pandemic for many involved sharing prepared cannabis for inhalation, practices that were less prevalent during the pandemic. State-level COVID-19 containment policies may have influenced this decrease. This study examined the extent to which the intensity of state-level COVID-19 policies were associated with individual-level cannabis sharing. Findings have the potential to guide harm reduction policies for future respiratory pandemics and seasonal respiratory virus waves. Methods: This study used cross-sectional individual-level data from the COVID-19 Cannabis Study, an anonymous U.S.-based web survey on cannabis use disseminated during the early phase of the pandemic (Full sample N = 1,883). We combined individual-level data with state-level policy data from Kaiser Family Foundation's State COVID-19 Data and Policy Actions for three time-points from June to August 2020 that overlapped with the survey period. Cannabis sharing was dichotomized as any versus no sharing. We adapted a previously published coding framework to score the intensity of COVID-19 policies implemented in each U.S. state and averaged the policy score across the time period. We then used Poisson regression models to quantify the associations of the average state-level COVID-19 policy score with cannabis sharing during the pandemic. Results: Participants (n = 925) reporting using inhalation as a mode for cannabis use were included in this analysis. Most respondents were male (64.1%), non-Hispanic White (54.3%), with a mean age of 33.7 years (SD 8.8). A large proportion (74.9%) reported sharing cannabis during the pandemic. Those who shared cannabis more commonly lived in states with a lower average policy score (16.7, IQR 12.3–21.5) compared to those who did not share (18.6, IQR 15.3–25.3). In adjusted models, the prevalence ratio of any cannabis sharing per every 5-unit increase in the average COVID-19 policy score was 0.97 (95% CI 0.93, 1.01). Conclusions: Fewer individuals shared cannabis in states with more intense COVID-19 containment policies compared to those in states with less intense policies. Individuals who use cannabis may be willing to make changes to their behavior and may further benefit from specific and directed public health messaging to avoid sharing during respiratory infection outbreaks. [ABSTRACT FROM AUTHOR]

This research analyzes the effectiveness of public support for innovation in the form of matching grants on productivity and on R&D intensity of manufacturing and service firms in Colombia, paying special attention to the impact of those funds aimed specifically at strengthening the innovation system. Results show that firms that received public funds for innovation have obtained significant improvements in productivity and have made greater efforts in R&D activities (compared to firms that did not receive matching grants). This suggests that public funds devoted to strengthening linkages among the different actors in the innovation system and to providing financial incentives to invest in R&D activities are effective mechanisms in the development of absorptive capacities, ultimately affecting both the learning process and the competitiveness of firms. These findings are particularly relevant for the design of public policies in developing countries, where innovation is a necessary condition for catching-up and economic upgrading. [ABSTRACT FROM AUTHOR]

Policy evaluation (PE) is a critical sub‐problem in reinforcement learning, which estimates the value function for a given policy and can be used for policy improvement. However, there still exist some limitations in current PE methods, such as low sample efficiency and local convergence, especially on complex tasks. In this study, a novel PE algorithm called Least‐Squares Truncated Temporal‐Difference learning (LST2D) is proposed. In LST2D, an adaptive truncation mechanism is designed, which effectively takes advantage of the fast convergence property of Least‐Squares Temporal Difference learning and the asymptotic convergence property of Temporal Difference learning (TD). Then, two feature pre‐training methods are utilised to improve the approximation ability of LST2D. Furthermore, an Actor‐Critic algorithm based on LST2D and pre‐trained feature representations (ACLPF) is proposed, where LST2D is integrated into the critic network to improve learning‐prediction efficiency. Comprehensive simulation studies were conducted on four robotic tasks, and the corresponding results illustrate the effectiveness of LST2D. The proposed ACLPF algorithm outperformed DQN, ACER and PPO in terms of sample efficiency and stability, which demonstrated that LST2D can be applied to online learning control problems by incorporating it into the actor‐critic architecture. [ABSTRACT FROM AUTHOR]