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Marine ecosystem governance is an important component of the goal of developing a strong maritime nation, as well as an urgent need to ensure national maritime security. The "Bay Chief System"(BCS) is a novel policy concept with Chinese roots that seeks to improve the marine ecological environment. In this paper, we take the coastal cities in China as an example and use the panel data of prefecture-level cities from 2010 to 2022 to analyse the impact of the Bay Chief System on the regional marine ecological environment by using a differences in-differences model. The baseline regression results reveal that the implementation of the Bay Chief System leads to a 0.122 percentage point improvement in marine ecosystems but it has yet to be linked to the River Chief System(RCS) to establish a systematic synergistic mechanism. Heterogeneity analysis reveals that the implementation of the Bay Chief System is more effective in coastal cities with smaller populations, a heavier proportion of secondary industries, and a geographic location closer to the South. The analysis of the impact mechanism indicates that the Bay Chief System mitigates the adverse effects of near-shore resource development on the marine ecological environment by regulating the intensity of fishery and coastal tourism development. Additionally, it optimizes water quality by substantially reducing pollutants like chemical oxygen demand (COD) and ammonia nitrogen (AN) in seawater, ultimately contributing to the protection of the marine ecological environment. [ABSTRACT FROM AUTHOR]

In this introduction to the special issue, we identify the key tensions underpinning the challenge of developing indicators of sustainable tourism, and use the papers submitted to the special issue to exemplify these tensions. The paper questions why it is that we need to measure sustainable tourism, the risk of becoming too focussed on measurement itself and losing sight of what is really important to sustainability. We consider who it is that should be undertaking the measurement of sustainable tourism and offer evidence of the way that societal power can be rebalanced by the kind of research inclusivity that controlling data collection brings. Determining the spatial boundaries has been a long-held tension between wanting data specificity and achieving wider comparability and engagement from policy makers and other stakeholders, while technological and methodological advances may allow for more progress to be made in addressing the weaknesses of measuring sustainable tourism. The paper questions whether indicators have led to any significant policy change, or whether the changes that have come are the result of indicators serving to create more sustainably literate stakeholders, more informed discussions and so a climate more receptive to taking decisions in support of a more sustainable tourism industry. [ABSTRACT FROM AUTHOR]

Copyright of Politics & Policy is the property of Wiley-Blackwell 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 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]

China has long exercised environmental control through the imposition of sewage charges. The start of the environmental protection tax on January 1, 2018, means that China has entered a new phase of environmental control. Unlike many previous studies on the role of environmental taxes at the firm level, this paper examines whether environmental taxes affect pollution emissions by influencing the behavioral choices of micro-actors. This paper first reviews the Pyrrhic tax, the Porter hypothesis, and the "double dividend effect." We then construct provincial panel data for 30 provinces in China from 2012 to 2019 as a sample, use the environmental protection tax as a natural experiment to evaluate the policy of this environmental protection tax using propensity score matching and difference-in-differences model, investigate the intermediate transmission mechanism of the policy implementation, and then analyze the differences in policy effects between provinces with different levels of economic development. The increased tax burden in 2018 led to a general reduction in provincial pollution emissions in which technological innovation by various groups, including firms and universities, had a mediating role. [ABSTRACT FROM AUTHOR]

This paper provides a systematic literature review of studies investigating the effect of an intervention on the efficiency of a decision‐making unit, when efficiency is computed using nonparametric frontier approaches. This paper offers a guide for future research by identifying patterns in (1) the fields of application, (2) applied efficiency models, and (3) analysis of efficiency determinants. Our findings indicate that, despite the prominent role of frontier techniques in the analysis of public sector performances and the importance of the effectiveness and the policy perspective, these two approaches have long been kept separate. Nevertheless, the combination of efficiency and effectiveness is fundamental to evaluate public interventions and to detect inefficiencies at the policy level, especially in key sectors such as education, health, and environment. [ABSTRACT FROM AUTHOR]

This paper studies the performance of machine learning predictions for the counterfactual analysis of air transport. It is motivated by the dynamic and universally regulated international air transport market, where ex post policy evaluations usually lack counterfactual control scenarios. As an empirical example, this paper studies the impact of the COVID-19 pandemic on airfares in 2020 as the difference between predicted and actual airfares. Airfares are important from a policy makers' perspective, as air transport is crucial for mobility. From a methodological point of view, airfares are also of particular interest given their dynamic character, which makes them challenging for prediction. This paper adopts a novel multi-step prediction technique with walk-forward validation to increase the transparency of the model's predictive quality. For the analysis, the universe of worldwide airline bookings is combined with detailed airline information. The results show that machine learning with walk-forward validation is powerful for the counterfactual analysis of airfares. [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]

In this paper, we propose a modified synthetic control causal analysis for time series data with volatility in terms of absolute value of return outcomes taken into account in constructing the prediction of potential outcomes for time series causal analysis. The consistency property of the synthetic weight parameter estimators is developed theoretically under a time series data-generating process framework. The application to evaluate the UK's mini-budget policy, announced by the then Chancellor on 23 September 2022, which had significant implications for the stock market, is examined and analysed. Comparisons with traditional synthetic control and synthetic difference in difference (DID) methods for evaluation of the effect of the mini-budget policy on the UK's stock market are also discussed. [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]

Situated within the growing literature on green alternatives to research and innovation-led green transition approaches, this paper sketches the contours of an emerging transition policy evaluation matrix aiming at going beyond contemporary (new) materialist concerns. To do so, I introduce a vitalist focus on life and establishing all connectedness as a long-term normative goal of just and deep global development policy. For this purpose, I draw from key insights from the recent interim evaluation of the European Framework program 'Horizon Europe', as well as non-Western and indigenous and feminist approaches to environmental justice to argue for overcoming an exclusive materialist and individualist preoccupation with green transition as it has been characteristic hitherto. Building on the requirement of a theory of change for encompassing well-being that includes a shifted yet assessable notion of being, I describe the non-linear sequence of green transition phases transcending materialist approaches to shifted energy supply and large-scale decarbonization to include an imaginary of a connected biocentric humanity with a just vitalist concern for life and well-being. [ABSTRACT FROM AUTHOR]

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.)

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.)

Few studies have yet described concrete efforts by researchers in applied linguistics to systematically impact language policy. In linguistics, there is a general lack of published work on interactions between research and policy, and authors have decried a general dearth of policy literacy among applied linguists. The goal of the current paper is to describe how applied linguistics research can bring about policy impact by presenting a narrative account of one approach aimed at impacting university admission language policies. The first part of the paper presents research-based recommendations regarding language requirements for international students, the second focuses on mechanisms to communicate these recommendations to policy makers. The case study presented in this paper serves to argue that applied linguistic research and policy impact can go hand in hand, on the condition that policy recommendations are concrete, timely, seen as relevant, and researchers have a fundamental understanding of the policy-making context. [ABSTRACT FROM AUTHOR]

With the recent emphasis on carbon neutrality following COP27, many countries prioritise shifting to electric mobility as a crucial strategy to combat carbon emissions. A significant portion of this comes from transportation. Notably, countries such as Norway, China, and the United States have taken the lead in the electric vehicle (EV) industry, driven by their effective e-mobility policies. In contrast, the 10 member nations of the Association of Southeast Asian Nations (ASEAN) are still in the early stages of adopting this emerging trend. This paper conducts a comprehensive evaluation of the current e-mobility policies within the ASEAN region, employing the STEELUP (Sociocultural and demographic, Technological, Economic, Environmental, Legislative, Urban design, and Political) framework to provide a holistic perspective on the e-mobility landscape in the ASEAN countries. By critically assessing the implementation of e-mobility policies in each country, this paper aims to identify key gaps and challenges that hinder the acceleration of EV adoption in the region. The findings from the STEELUP framework, coupled with a thorough analysis of the current conditions in ASEAN, provide crucial insights for governments and policymakers to act upon. Through evidence-based recommendations, this study concludes by suggesting effective strategies to expedite the uptake of EVs in the ASEAN region. [ABSTRACT FROM AUTHOR]

After nearly forty years of development, China's land consolidation policies (CLCP) have become an important tool for promoting rural revitalization and sustainable development. However, as a major land management policy, there is still a lack of quantitative evaluation research on its text. This paper establishes an evaluation system for CLCP using text analysis and the PMC-Index model. Based on a reasonable definition of the connotation of land consolidation, this paper collects 313 related policies issued by China's central government from 1982 to 2022, using text analysis to sort out the characteristics of issuance time, policy types, issuing institutions, and cooperation networks. By combining the outcomes of text mining with the previous research results to set evaluation indicators for the PMC-Index model, it distinguishes between comprehensive policies and specialized policies and separately evaluates them. Then, the PMC-Surface is established to clearly display the calculation results. The results show that the evaluation scores of comprehensive policies and specialized policies showed an upward trend over time. This indicates that the content of CLCP is constantly being enriched and expanded. The evaluation scores for different dimensions of comprehensive policies are relatively balanced, whereas there are significant differences in the evaluation scores of various dimensions of specialized policies. Both comprehensive policies and specialized policies have weaknesses in policy functions, incentives and constraints, and implementation guarantees, so improvements may be needed in these areas in the future. This study provides valuable insights into the advantages and disadvantages of a single land consolidation policy in China. [ABSTRACT FROM AUTHOR]

Linear regressions with period and group fixed effects are widely used to estimate policie's effects: 26 of the 100 most cited papers published by the American Economic Review from 2015 to 2019 estimate such regressions. It has recently been shown that those regressions may produce misleading estimates if the policy's effect is heterogeneous between groups or over time, as is often the case. This survey reviews a fast-growing literature that documents this issue and that proposes alternative estimators robust to heterogeneous effects. We use those alternative estimators to revisit Wolfers (2006a). [ABSTRACT FROM AUTHOR]

We study a stochastic multi-period two-echelon dual sourcing inventory system where the buyer can source a product from two different suppliers: a regular and an expedited supplier. The regular supplier is a low-cost offshore supplier, whereas the expedited supplier is a responsive nearshore supplier. Such dual sourcing inventory systems have been well studied in the literature, mostly being solely evaluated from the buyer's perspective. Since the buyer's decisions have an impact on the supply chain profit, we adopt the perspective of the entire supply chain, i.e., by taking the suppliers explicitly into consideration. In addition, we study this system for general (nonconsecutive) lead times for which the optimal policy is unknown or very complex. We numerically compare the performance of two different policies in a two-echelon setting: the Dual-Index Policy (DIP) and the Tailored Base-Surge Policy (TBS). From earlier studies we know that when the lead time difference is one period, DIP is optimal from the buyer's perspective, but not necessarily from the supply chain perspective. On the other hand, when the lead time difference grows to infinity, TBS becomes optimal for the buyer. In this paper, we evaluate the policies numerically (under various conditions) and we show that from a supply chain perspective, TBS typically outperforms DIP at a limited lead time difference of a few time periods. Based on data collected from 51 manufacturing firms, the results of our paper imply for many supply chains with a dual sourcing setting that TBS quickly becomes a beneficial policy alternative, especially given its simple and appealing structure. [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]

To promote the precise governance of China's new-energy vehicle (NEV) industry, this paper quantitatively analyzes 204 policy texts on the NEV industry in China since 2007 and constructs an evaluation system of policy effectiveness from three dimensions of policy attributes, policy objectives, and policy measures to reveal the effectiveness and evolutionary trends of China's NEV industry policies. In addition, this paper explores the two-way effects of different types of policy measures on the NEV supply and demand markets through an econometric model to reveal the differential impact effectiveness of various policy instruments in China's NEV industry. The results indicate that China's NEV industry has changed from "government-driven" to "government-driven + market-driven", and the multi-sectoral policy coordination needs to be further improved; the dynamic evolution over the years reveals a similar pattern of change in the total effectiveness of policy issuance as influenced by the number of policies; the quantity of patents in China is large but the quality of patents is insufficient, and an overall problem of low level of core technology is being faced; taxation and subsidy measure, technical innovation measures, social guidance measures, and environmental support measures all effectively promote the development of the supply-side market, while taxation and subsidy measures, social guidance measures and legal regulation measures can better promote the development of the demand-side market; the impact of financial support measures on both supply and demand-side markets is not significant. [ABSTRACT FROM AUTHOR]

The objective of this paper is to study the role of firms' capabilities in their benefiting from public funds for innovation. The literature agrees that capabilities play a key role in policy access, but this relationship has not been specifically explored. The theoretical framework combines the evolutionary approach to firms' capabilities with the literature on innovation policy. The empirical strategy is based on the National Employment and Innovation Dynamics Survey, a CIS-type survey at the firm level. This includes data about access to the main Argentine Technological Fund (FONTAR). Results show that productive, innovation, and connectivity capabilities impact the probability of knowing about and accessing FONTAR, especially firms' productive and connectivity skills. Results also show that innovator firms have higher probabilities of knowing about and accessing FONTAR than non-innovator ones. This provides evidence about the need to think of the public funding of innovation articulated with other firm-level policies. [ABSTRACT FROM AUTHOR]

Climate change is one of the largest challenges facing mankind, and the question of how to reduce carbon emissions has raised extensive concern all over the world. However, due to the lack of mechanisms to explain the impact of political factors on environmental regulatory tools, the evaluation of carbon emissions reduction is insufficient in the majority of previous studies. How to better explore the path of carbon emissions reduction has become the key for China to achieve carbon neutralization as soon as possible. Based on a quasi-natural experiment regarding China's carbon emission trading policy, this paper adopts a difference-in-differences model to address the impact of political mobility on China's carbon emissions trading policy, and the selected pilot and non-pilot provinces of this policy in China enabled the model to be matched. Using a panel database with 30 provincial administrative units as the observation objects, the results show that China's carbon emissions trading policy and the horizontal mobility experience of the provincial governors exert a significant positive effect on carbon emission reduction. Additionally, this study identifies a latent factor previously ignored by the existing literature: the correlation between political factors and carbon emissions. This verifies our theoretical hypothesis that officials transferred from the provincial level tend to have higher performance regarding carbon emission reduction. This paper also provides suggestions for the central government to further plan and implement carbon emission reduction policies and mobilize the incentives of local officials in environmental governance. [ABSTRACT FROM AUTHOR]

Researchers in public policy and public administration agree that policy integration is a process. Nevertheless, scholars have given limited attention to political aspects that facilitate or impede integration. This paper aims at filling that gap, by looking at how different theories of the policy process can help in explaining the process of policy integration as shaped by policy subsystems. By building on insights from theories of the policy process, we develop pathways regarding adoption and implementation in policy integration that account for the politicization and the role of actors and subsystems in the policy process. Our main argument is that policy integration is in permanent political tension with the sectoral logic of policymaking, which predominantly happens between actors in subsystems. Policy integration is, thus, not a single moment when those tensions are solved once and for all, but a political process that requires deliberate efforts to overcome the pull toward sector-specific problem definition, policymaking, implementation, and evaluation. [ABSTRACT FROM AUTHOR]

This paper evaluates green stimulus packages that were introduced in response to the global financial crisis (GFC) of 2007–08 and draws lessons relevant for greening the recovery from the Coronavirus (COVID-19) pandemic. It provides evidence that well-designed green stimulus measures can help the economic recovery and bring about environmental benefits. Nevertheless, almost a decade and a half after the GFC unfolded, the ex post evidence of the joint economic and environmental impact of green stimulus measures remains very limited. Drawing on the lessons from the GFC, the paper underscores the importance of proper policy design, more realistic recognition of the potential trade-offs between economic, environmental and social objectives, and of building in impact evaluation mechanisms into green stimulus measures. The paper also highlights that COVID-19 is unfolding in a policy context that is very different from 2007 to 2008 and identifies new challenges as well as opportunities for greening the COVID-19 recovery. [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]

Despite the widespread implementation of civil–military integration (CMI) policies in various countries, there remains a significant debate surrounding their impact on innovation. Taking the set of the National Civil–Military Integration Strategy in China in 2015 as a quasi-natural experiment, this paper uses the Propensity Score Matching and Difference in Difference (PSM-DID) method to systematically examine the impact of CMI policy on firm innovation. The results demonstrate that the CMI policy has notably increased the intensity of firms' Research and Development (R&D) investment, but does not exert a significant influence on their innovation output and efficiency. Notably, the policy effect is primarily observed among incumbent military firms and large-scale firms. Moreover, the CMI policy exhibits a considerable effect on fostering new cooperation links, but does not yield a significant impact on deepening cooperation or promoting network agglomeration. The results imply that the policy has not yet deeply affected firms' innovation processes and patterns. These findings provide manifold implications for policy understanding and decision-making. [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]

Performance‐based research funding systems (PBRFS) have been introduced in many countries for allocating funding to research institutions. There continues to be considerable debate about the effectiveness and consequences of these systems. This paper suggests several methods that can be applied to evaluate how institutions respond to new incentives created by the introduction of a PBRFS. The methods are illustrated using longitudinal data from the New Zealand PBRFS, which assesses institutional performance and allocates funds based on individual researcher performance, although not all methods require individual data. Longitudinal data enable the identification of entry, exit and quality transformation of researchers and the contribution of these dynamics to changes in university and discipline research quality. The approach enables a deeper understanding of individual and institutional responses to PBRFSs, the sustainability of changes and the contributions of changes in researcher quality and discipline composition to changes in institutional performance. [ABSTRACT FROM AUTHOR]

Researchers are often faced with evaluating the effect of a policy or program that was simultaneously initiated across an entire population of units at a single point in time, and its effects over the targeted population can manifest at any time period afterwards. In the presence of data measured over time, Bayesian time series models have been used to impute what would have happened after the policy was initiated, had the policy not taken place, in order to estimate causal effects. However, the considerations regarding the definition of the target estimands, the underlying assumptions, the plausibility of such assumptions, and the choice of an appropriate model have not been thoroughly investigated. In this paper, we establish useful estimands for the evaluation of large-scale policies. We discuss that imputation of missing potential outcomes relies on an assumption which, even though untestable, can be partially evaluated using observed data. We illustrate an approach to evaluate this key causal assumption and facilitate model elicitation based on data from the time interval before policy initiation and using classic statistical techniques. As an illustration, we study the Hospital Readmissions Reduction Program (HRRP), a US federal intervention aiming to improve health outcomes for patients with pneumonia, acute myocardial infraction, or congestive failure admitted to a hospital. We evaluate the effect of the HRRP on population mortality among the elderly across the US and in four geographic subregions, and at different time windows. We find that the HRRP increased mortality from pneumonia and acute myocardial infraction across at least one geographical region and time horizon, and is likely to have had a detrimental effect on public health. [ABSTRACT FROM AUTHOR]

Knowledge about how implemented policy instruments have performed is important for designing effective and efficient policy instruments that contribute to reductions of greenhouse gas emissions. This paper carries out a meta-evaluation of ex-post evaluations of climate policy instruments in the freight transport sector. By analysing the outcomes and quality of evaluations, the aim is to identify whether estimated effects of policy instruments can be compared between evaluations and if the results are appropriate to use for evidence-based decision making. To analyse these aspects, commonly applied evaluation criteria are assessed and classified according to an assessment scale. We confirm that few ex-post evaluations are carried out and that there is a gap between evaluation theory and how ex-post policy evaluations are performed in practice, where evaluation criteria recommended in policy evaluation guidelines are found to often be neglected in evaluations. The result is a lack of systematic climate policy evaluation which hinders reliable conclusions about the effect of policy instruments. There is a need for more systematic monitoring and evaluation of implemented policy instruments and we suggest that evidence-based decision making can be improved by adjusting current policy evaluation guidelines and by introducing an evaluation obligation. [ABSTRACT FROM AUTHOR]

This paper develops an offline reinforcement learning framework that identifies and evaluate the ad sequencing policy that optimizes user engagement. In this paper, we propose a unified dynamic framework for adaptive ad sequencing that optimizes user engagement with ads. Our framework comprises three components: (1) a Markov decision process that incorporates intertemporal tradeoffs in ad interventions, (2) an empirical framework that combines machine learning methods with insights from causal inference to achieve personalization, counterfactual validity, and scalability, and (3) a robust policy evaluation method. We apply our framework to large-scale data from the leading in-app ad network of an Asian country. We find that the dynamic policy generated by our framework improves the current practice in the industry by 5.76%. This improvement almost entirely comes from the increased average ad response to each impression instead of the increased usage by each user. We further document a U-shaped pattern in improvements across the length of the user's history, with high values when the user is new or when enough data are available for the user. Next, we show that ad diversity is higher under our policy and explore the reason behind it. We conclude by discussing the implications and broad applicability of our framework to settings where a platform wants to sequence content to optimize user engagement. History: Olivier Toubia served as the senior editor for this article. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mksc.2022.1423. [ABSTRACT FROM AUTHOR]

In 2014, the Japan Foundation and the Tokyo International Film Festival commissioned three films from Japanese, Cambodian and Filipino directors to represent the theme 'Reflections: Living Together in Asia'. This was the first edition of a government-sponsored film co-production entitled the Asian Three-Fold Mirror. Running from 2014 to 2020, this initiative aims at improving mutual understanding between national audiences. This project shows a shift towards reciprocity and active collaboration and away from a unidirectional Japanese cultural diplomacy. However, it casts Japan as a primary actor for a successful regionalization of Southeast Asia, thus undermining the advertised reciprocity of the initiative. Through a juxtaposed analysis of the policy papers that led to the funding of this project, and of the creative content and reception of the films, this paper analyses the aims of these policies, and evaluates how the project of the Asian Three-Fold Mirror relates to these goals. [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]