Specific Frame Research Articles

Low water availability increases susceptibility to peanut smut (Thecaphora frezzii) in peanut crop

AbstractPeanut smut (causal agent Thecaphora frezzii) and seasonal drought are the two main factors reducing peanut yields in Argentina. There are no previous studies about the effect of drought on peanut smut occurrence. We evaluated the effect of soil water limitation on smut symptoms in greenhouse and field assays. Additionally, we analysed the biochemical responses of plants to the combined stress caused by water limitation and smut infection in greenhouse experiments. We found that a moderate water deficit (30% of soil water‐holding capacity) increased smut symptoms and differentially increased proline and reduced chlorophylls in the host. Subsequently, we studied the correlation between field precipitation data and smut damage from 2015 to 2020 in naturally infected fields with a high T. frezzii spore load in the soils. Strong correlations between precipitation and severely affected pods, severity disease index and incidence were found from January to March (susceptibility window for T. frezzii infections). We suggest a strategy of irrigation in a specific time frame to mitigate smut damage when there is a water deficit in the growing season.

The Social Psychology of Framing: The Emotional Content of Finnish Anti-Wind Power Frames

Protests against wind power have become increasingly common in Western countries and in Finland. This article explores various anti-wind farm frames and their emotional dynamics and content. The framing approach highlights cognitive and constructive rather than emotional aspects. However, social-psychological understanding of emotions enables us to recognise those types of emotions that give content to a specific frame and are essential to understanding individual motivations for building frames and joining protests. This article points out three anti-wind farm frames: Nimby (love, feelings of security, fear of disruption, and anger); populist (experience of helplessness, fear, grief and anger); and environmentalist (concern and respect). The frames reveal how online activisms oriented towards the same cause and goal arise from multiple emotional contents, indicating the actors’ concerns over the effects of wind turbines on their own well-being and reflecting their own different positions.

Clinical Benefit of First-Pass Recanalization Is Time-Dependent in Endovascular Treatment of Acute Ischemic Stroke.

Clinical benefit can be time-dependent even after first-pass recanalization (FPR) in endovascular treatment of acute stroke. This study aimed to evaluate the association between favorable outcome and FPR under a specific time frame. Patients who underwent mechanical thrombectomy were retrospectively reviewed. Recanalization status was categorized into four groups based on FPR and dichotomized time from groin puncture to recanalization (P-to-R time). Favorable outcomes were compared between groups. A total of 458 patients were included. As the cutoff of P-to-R time for favorable outcome was 30 min, recanalization status was categorized into FPR (+) with a P-to-R time ≤ 30 min (Group 1), FPR (-) with a P-to-R time ≤ 30 min (Group 2), FPR (+) with a P-to-R time > 30 min (Group 3), and FPR (-) with a P-to-R time > 30 min (Group 4). Favorable outcomes in Group 3 (37.5%) were significantly less frequent than those in Group 1 (60.4%, p = 0.029) and Group 2 (59.5%, p = 0.033) but were not significantly different from those in Group 4 (35.7%, p = 0.903). Compared to Group 1, Group 3 (adjusted odds ratio, 0.30 [95% confidence interval, 0.12-0.76]; p = 0.011) and Group 4 (0.25 [0.14-0.48]; p < 0.001) were adversely associated with favorable outcomes. FPR was associated with functional outcome in a time-dependent manner. Even for patients who have achieved FPR, their functional outcome might not be favorable if the P-to-R time is >30 min.

Between friend and foe: drivers and patterns of dyadic relationship framing in policy network

PurposeThis article aims to explore (1) specific frames of dyadic relationship in policy network beyond a simplistic dichotomy of “friend or foe” and (2) the multi-dimensional drivers behind the framing patterns.Design/methodology/approachTo that end, the interviews with the key actors in a nuclear energy policy network in South Korea were conducted, and their relationships in terms of three dimensions were analyzed: belief accordance, communication frequency and resource symmetry.FindingsAs a result, 12 relationships that can occur in the policy networks were identified: helping, collaborating, cooperating, unconcerned, stabilizing, observing, pushing, confronting, challenging, ignoring, watching and avoiding. These 12 frames were observed in various in-/congruent patterns between network actors.Originality/valueThe findings provide theoretical and practical implications on why and how the network actors may assess one another through the 12 discrete frames, which are drawn from the three dimensional drivers of belief accordance, communication frequency and resource symmetry.

Playing through to Europe? Depiction and Reception of the First World War in the Videogame Valiant Hearts

ABSTRACT The video game Valiant Hearts, released in 2014 for the First World War centenary, sold over 2.5 million copies and can be considered one of the major contemporary pop-culture historical representations of this war shaping public interpretations of this event. The paper explores how Valiant Hearts, as a kind of informal institution affecting historical remembrance, constructs and encourages a specific framing through the deployment of Europeanizing elements of anti-war narrative, Franco-German reconciliation narrative, and the de-nationalizing logic that indirectly legitimizes the European integration. The analysis of the videogame in the context of the historical film Merry Christmas (2005) is complemented with a close reading of illustrative empirical examples of Let’s Plays (paratextual user-generated videos where people record themselves while playing videogames) that indicate how Europeans of different national backgrounds interact with the game Valiant Hearts. The examined cases point to how the everyday, seemingly apolitical leisure activity of playing and watching videogames dealing with history can advance Europeanizing narratives and present occasions for informal Europeanization.

Exploring temperature dynamics in Madhya Pradesh: a spatial-temporal analysis.

Understanding the dynamics of temperature trends is vital for assessing the impacts of climate change on a regional scale. In this context, the present study focuses on Madhya Pradesh state in Central Indian region to explore the spatial-temporal distribution patterns of temperature changes from 1951 to 2021. Gridded temperature data obtained from the Indian Meteorological Department (IMD) in 1° × 1° across the state are utilised to analyse long-term trends and variations in temperature. The Mann-Kendall (MK) test and Sen's slope (SS) estimator were used to detect the trends, and Pettitt's test was utilised for change point detection. The analysis reveals significant warming trends in Madhya Pradesh during the study period during specific time frames. The temperature variables, such as the annual mean temperature (Tmean), maximum temperature (Tmax), and minimum temperature (Tmin), consistently increase, with the most pronounced warming observed during winter. The trend analysis reveals that the rate of warming has increased in the past few years, particularly since the 1990s. However, Pettitt's test points out significant changes in the temperature, with Tmean rising from 25.46 °C in 1951-2004 to 25.78 °C in 2005-2021 (+0.33 °C), Tmax shifting from 45.77 °C in 1951-2010 to 46.24 °C in 2011-2021 (+0.47°C), and Tmin increasing from 2.65 °C in 1951-1999 to 3.19 °C in 2000-2021 (+0.46 °C). These results, along with spatial-temporal distribution maps, shed important light on the alterations and variations in monthly Tmean, Tmax, and Tmin across the area, underlining the dynamic character of climate change and highlighting the demand for methods for adaptation and mitigation.

THE RELATIONSHIP BETWEEN CEO DUALITY AND FIRM PERFORMANCE IN LIGHT OF BOARD SIZE AS A MODERATOR

This research investigates the intricate link between CEO duality and company performance in Texas service organizations while illuminating the moderating role of the number of directors. To accomplish this, the study conducts a comprehensive analysis using a dataset of Texas service companies over a specific time frame. Rigorous statistical methods, including multiple regression analysis and moderation analysis, are employed to assess the relationship between CEO duality, board size, and company performance. Various performance metrics, such as return on assets (ROA), return on equity (ROE), and Tobin's Q ratio, are used to measure business performance. Panel data from 2018 to 2020 are gathered from published accounts, and the research utilizes IGLS regression models to test the theory. The findings reveal a complex relationship between CEO duality and business performance in Texas service firms, with CEO duality significantly correlated with firm performance, and board size playing a substantial moderating role. This study offers valuable guidance to the boards of directors and executives of Texas service organizations on optimizing board sizes and governance structures to enhance company performance. It also advances our understanding of the nuanced interactions between CEO duality and board size within the broader corporate governance literature, emphasizing the context-specific nature of these effects. Additionally, this research contributes to the field by examining these dynamics within the unique context of Texas service organizations, shedding light on their distinct characteristics and governance requirements compared to businesses in other regions or industries.

Типы пространственной семантики в модели фрейма «Киберпространство» (на материале медиатекстов на русском языке)

The aim of the study is to identify the cognitive models and language means used to express locative semantics in the ‘Cyberspace’ frame involving the texts of Russian-language media. The study is based on the hypothesis that global news stories concerning events in cyberspace often receive a specific framing in the Russian media discourse due to both socio-cultural singularity and the peculiarities of spatial semantics expression in the Russian language. The scientific novelty of the study is determined by the fact that cyberspace representation in the mass media in Russian has not previously been the object of linguistic research, although new lexical units describing phenomena from the cybertechnology industry are being actively included both in the media discourse and in the common Russian language and require a systematic description. As a result of the study, the process of adapting the global news frame in the Russian-language media has been described for the first time taking into account lexical and word-formation models and linguocultural aspects. It has been found that the semantics of cyberspace is actualised within the framework of three thematic clusters: real, associative-background and conceptual locations described using borrowed vocabulary, authorial neologisms, metaphorisation and homonymy.

Mass Media's Role in Terrorism: The Issue of Frame Sending and Terrorist Communication

Abstract The propaganda videos of Islamic State of Iraq and the Levant (ISIL) became a widespread issue throughout the Western world between 2014 and 2017. The problem was not that the videos went viral on social media but that people learned about them and their content through the news. Each ISIL video posted on social media provoked some kind of media reaction that generated public attention. Given that a common framing effect leads people to think through the frames offered to them, journalists and media outlets can pick up frames and send them via their reporting. Based on a qualitative content analysis of news articles in Germany, Austria, and Switzerland, this article shows that media outlets often sent ISIL’s frames and discussed related problems using the frames set by ISIL. Therefore, the media played a crucial role in the logic of this terrorist organization and its communication strategy by sending specific strategic communicator frames to the public. However, this analysis reveals that media framing changed over time: reporting became more balanced and, in some cases, even contested ISIL’s frames.

Bone Marrow Stromal Cells Sorted by Semiconducting Polymer Nanodots for Bone Repair.

The use of bone marrow stromal cells (BMSCs) for bone defect repair has shown great promise due to their differentiation potential. However, isolating the BMSCs from various cell types within the bone marrow remains challenging. To tackle this issue, we utilized semiconducting polymer dots (Pdots) as markers to select the BMSCs within a specific time frame. The therapeutic efficacy of the obtained Pdot-labeled BMSCs was assessed in a bone defect model. Initially, we evaluated the binding capacity of the Pdots with four different types of cells present in the bone marrow including BMSCs, osteoblasts, macrophages, and vascular endothelial cells, in vitro. Notably, BMSCs showed the most rapid uptake of the Pdots, being labeled within only one h of coculture, while other cells took four h to become labeled. Moreover, by colocalizing the Pdots with Prrx1, Sca-1, OSX, F480, and CD105 in the bone marrow cells of monocortical tibial defect (MTD) mice in vivo, we determined the proportions of BMSCs, macrophages, and vascular endothelial cells among all labeled cells from 1 to 8 h after the Pdots injection. It was found that BMSCs have the highest proportion (92%) among all labeled cells extracted after 1 h of Pdots injection. The therapeutic efficacy of the obtained Pdots-labeled BMSCs (1 h) was assessed in a bone defect model. Results showed that the new bone accrual was significantly increased in the treatment of Pdots-labeled BMSCs compared to the bone marrow cell-treated group. Our study revealed that BMSCs screened by the Pdots could improve bone defect repair, suggesting a promising application of the Pdots in bone healing.

Single hybrid population but multiple parental individuals at the origin of parthenogenetic rock lizards Darevskia sapphirina and D. bendimahiensis Schmidtler, & Eiselt Darevsky (1994) endemic to the area of Lake Van in East Turkey

Among vertebrates, obligate parthenogenesis is only found in Squamata, where it always has a hybrid origin and a few lizard genera contain most of the known hybridogenous parthenogenetic taxa. Parthenogenesis thus seems to be pre-conditioned at the genus level, but it is not clear how often the encounter between two parental sexually reproducing species can result in the parthenogenetic offspring, nor whether the success of such hybridization event requires certain conditions or the specific time frame. To address this question, we studied the rock lizards of genus Darevskia, where a pair of parental species, D. valentini and D. raddei, as well as their parthenogenetic daughter species D. bendimahiensis and D. sapphirina, are found in close proximity NE of the Lake Van in East Anatolia. Using ddRAD-seq genotyping on 19 parental and 18 hybrid individuals, we found that (i) all parthenogenetic individuals from both D. bendimahiensis and D. sapphirina have a monophyletic origin tracing back to a single initial hybrid population, but their current genetic variation is geographically structured; (ii) unlike the most probable paternal ancestor, the genetically closest extant population of the maternal ancestor is not the geographically nearest one; and (iii) in the parthenogens, about 1% of loci carry multiple haplotypes, frequently differentiated by multiple substitutions. This pattern, in addition to biases in the relative frequency of haplotypes of maternal and paternal origin, does not appear compatible with a scenario of the entire parthenogenic clonal population having descended from a single pair of parental individuals. Instead, the data suggest that multiple parental individual ancestries still persist in the parthenogenetic gene pool. This supports the notion that although hybridization leading to parthenogenesis is generally rare at the level of species, it may be more common at the individual/population level once the right conditions are met.

Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanism.

Soft error has increasingly become a critical concern for SRAM-based field programmable gate arrays (FPGAs), which could corrupt the configuration memory that stores configuration data describing the custom-designed circuit architecture. To mitigate this kind of error, this study proposes a brain-inspired hybrid-grained scrubbing mechanism consisting of fine-grained and coarse-grained scrubbing to mitigate and repair the errors as quickly as possible after an SEU occurrence. Inspired by the human brain's ability to filter out redundant and irrelevant information, we propose a mechanism that can mask invalid position information when errors occur. Compared with the scrubbing of full configuration memory, this mechanism can achieve precise error location and recovery utilizing targeted scrubbing of specific frames or modules. The effectiveness is evaluated by executing fault injection campaigns on the International Symposium on Circuits and Systems 1989 (ISCAS89) benchmark circuits and fault tolerant fast Fourier transform (FT-FFT) circuit. If upsets are detected, they will be repaired with fine-grained or coarse-grained scrubbing depending on their location. The experiment results show that this mechanism can effectively mitigate and repair single-bit upsets (SBUs) and double-bit upsets (DBUs). In addition, the mechanism is proven to be superior in error recovery time and hardware overhead compared to counterpart approaches.

Modulation of NRF2: Biological Dualism in Cancer, Targets and Possible Therapeutic Applications.

Significance: The nuclear factor erythroid 2-related factor 2 (NRF2)-Kelch-like ECH-associated protein 1 (KEAP1) system is a master regulator of redox homeostasis and cell adaptation to a variety of exogenous and endogenous stressors. Accumulating evidence from the last decade indicates that the impairment of the redox balance leads to oxidative stress (OS), a common alteration occurring in many human acute and chronic inflammatory diseases, such as cancer, diabetes, neurodegeneration, and metabolic disorders, and aging. Recent Advances: Being located at the intersection of crucial signaling pathways, NRF2 can influence several cellular functions, which extend beyond the maintenance of the redox balance and include cellular metabolism, proteostasis, mitochondrial function and inflammation. For this reason, there is a growing interest in the pharmacologic manipulation of NRF2 for therapeutic purposes, which requires the accurate knowledge of the cell context and the specific time frame both of NRF2 activation and inhibition. This appears to be an important prerequisite and reflects the extreme complexity of the NRF2 signaling, characterized by an intrinsic dualism that mediates beneficial or detrimental effects even in the same biological process. Critical Issues: Of crucial importance will be to understand whether the NRF2 activity modulation might be exploited to exert beneficial outcomes in patients suffering from pathological conditions, in which the OS and the deregulation of inflammatory processes play a crucial role. Future Directions: In this review, we discuss the dual involvement of NRF2 in aging, neurodegeneration, metabolic diseases, long-COVID-19, and carcinogenesis and we present an overview of the most recent therapeutic modulators of NRF2, particularly emphasizing on those selected for clinical trials. Antioxid. Redox Signal. 40, 636-662.

Reliability-based design optimization of post-tensioned self-centering rocking steel frame structures

This paper reports the Reliability-Based Design Optimization (RBDO) of post-tensioned self-centering rocking steel frame structures with buckling-restrained bracing systems. The objective was to investigate the reliability index, optimization of self-centering structures to reach minimum weight using metaheuristic algorithms, and their application in linear and nonlinear reliability problems. For this purpose, three steel structures (10-, 15-, and 20-storey structures) were each evaluated with three steel framing systems (buckling-restrained bracing, post-tensioned self-centering multiple rocking steel frame with buckling-restrained bracing, and post-tensioned self-centering single rocking steel frame with buckling-restrained bracing), making a total of nine models. Subsequently, specific 2D frames of the structural models were numerically simulated using nonlinear dynamic analysis (NDA) in OpenSees software. Optimization was carried out in two stages: with and without considering the uncertainties. Finally, for calculating the failure probability and structural reliability index, Monte-Carlo Simulation (MCS) was employed. Results indicate that, although considering the reliability index leads to heavier structures, structural safety was increased and failure probability was reduced to even lower specified levels. Furthermore, among the incorporated algorithms, the Colliding Bodies Optimization (CBO) and Charged System Search (CSS) algorithms proved to have superior performances in terms of accuracy and converging time. On average, using these two algorithms for cases without uncertainty resulted in maximum weight reductions of 36%, 30%, and 32% for 10-, 15-, and 20-storey structures. In addition, for cases with uncertainty, these two algorithms with reliability index (β) of 2 respectively reduced the weight of 10-, 15-, and 20-storey structures by 21%. Also, it was shown that not considering the uncertainties can increase the failure probability by up to 23%.

Counter-Hegemonic Resistance and Framing of the Anti–KORUS FTA Protests in South Korea

Abstract: This study analyzes the framing of protests against the Korea–United States Free Trade Agreement (KORUS FTA), arguably one of the most significant and contentious contemporary movement events that occurred in South Korea. The anti-KORUS FTA protests have drawn the largest public, committed to challenging the hegemonic rhetoric of the Korean government's neoliberal policy initiatives, by asserting the trade deal as posing various social and economic ills to human life. Drawing on the combined framework of Gramscian analysis and the framing perspective, this study highlights the ways in which the anti-KORUS FTA protest activism exercises power by disseminating alternative discourse against the existing political condition. By examining a broad range of data, the study identifies three specific counter-hegemonic framings of collective action used by local civil society organizations to delegitimize the official discourse—'neoliberalism as the problem,' 'public accountability,' and 'national independence.'

Gendered AI: German news media discourse on the future of work

AbstractIn recent years, there has been a growing public discourse regarding the influence AI will have on the future of work. Simultaneously, considerable critical attention has been given to the implications of AI on gender equality. Far from making precise predictions about the future, this discourse demonstrates that new technologies are instances for renegotiating the relation of gender and work. This paper examines how gender is addressed in news media discourse on AI and the future of work, focusing on Germany. We approach this question from a perspective of feminist technology studies and discourse analysis, exploring a corpus of 178 articles from 2015 to 2021 from German newspapers and newsmagazines. The findings indicate that critical AI and gender knowledge circulates in public discourse in the form of specific discursive frames, thematizing algorithmic bias, automatization and enhancement, and gender stereotypes. As a result, we show that, first, the discourse takes up feminist and scholarly discourse on gender and discusses AI in a way that is informed by social constructivism and standpoint theories. Second, gender appears as a—to some extent intersectional—diversity category which is critical to AI, while at the same time omitting important perspectives. Third, it can be shown that there is a renegotiating of the ideal worker norm taking place, and finally, we argue that the gendered frame of the powerful men developer responsible for AI’s risk is a concept to be challenged.

The Many Flaws of the Lorentz Transformation

The Lorentz transformation (LT) is one of the most revered set of relationships in modern physics. Overlooked in this broad assessment are a number of clear inconsistencies in its predictions, however, as will be discussed herein. For example, it makes three predictions which are not consistent with one another: Lorentz-FitzGerald length contraction (FLC), time dilation (TD) and light-speed equality for observers in relative motion to one another. Einstein’s light-speed postulate (LSP) is shown to be unviable by considering a case in which a light source passes by a stationary observer at the same time that it emits a light pulse in the same direction. It is found that, in contradiction to the LSP, that the classical velocity (Galilean) transformation (GVT) is applicable when two observers in relative motion deduce the speed of a light wave from their different perspectives. The LT also stands in violation of the Law of Causality because it fails to recognize that inertial clocks can never change their rate spontaneously; thus its two clocks must always measure elapsed times in the same ratio (Q), contrary to the LT prediction of space-time mixing. The Newton-Voigt transformation (NVT) is consistent with the Law of Causality because it assumes space and time do not mix. It is nonetheless also consistent with the relativistic velocity transformation (RVT) and also with Einstein’s mass-energy equivalence relation E=mc2. The ratio Q of clock rates for two inertial rest frames S and S’ is required input for the NVT. Experimental data obey the Universal Time-dilation Law (UTDL) which states that the measured time Δt obtained by an inertial clock for a given event is inversely proportional to γ(v)= (1-v2c-2)-0.5, where v is the speed of the clock relative to a specific rest frame referred to as the objective rest frame ORS. The Uniform Scaling method employs Q as a conversion factor between the units of time in the two rest frames. It is found that the conversion factors

Switching quantum reference frames in the N-body problem and the absence of global relational perspectives

Given the importance of quantum reference frames (QRFs) to both quantum and gravitational physics, it is pertinent to develop a systematic method for switching between the descriptions of physics relative to different choices of QRFs, which is valid in both fields. Here we continue with such a unifying approach, begun in [Quantum 4, 225 (2020)], whose key ingredient is a symmetry principle, which enforces physics to be relational. Thanks to gauge related redundancies, this leads to a perspective-neutral structure which contains all frame choices at once and via which frame perspectives can be consistently switched. Formulated in the language of constrained systems, the perspective-neutral structure is the constraint surface classically and the gauge invariant Hilbert space in the Dirac quantized theory. By contrast, a perspective relative to a specific frame corresponds to a gauge choice and the associated reduced phase and Hilbert space. QRF changes thus amount to a gauge transformation. We show that they take the form of `quantum coordinate changes'. We illustrate this in a general mechanical model, namely the relational N-body problem in 3D space with rotational and translational symmetry. This model is especially interesting because it features the Gribov problem so that globally valid gauge fixing conditions, and hence relational frame perspectives, are absent. The constraint surface is topologically non-trivial and foliated by 3-, 5- and 6-dimensional gauge orbits, where the lower dimensional orbits are a set of measure zero. The N-body problem also does not admit globally valid canonically conjugate pairs of Dirac observables. These challenges notwithstanding, we exhibit how one can construct the QRF transformations for the 3-body problem. Our construction also sheds new light on the generic inequivalence of Dirac and reduced quantization through its interplay with QRF perspectives.

Leveraging Return Prediction Approaches for Improved Value-at-Risk Estimation

Value at risk is a statistic used to anticipate the largest possible losses over a specific time frame and within some level of confidence, usually 95% or 99%. For risk management and regulators, it offers a solution for trustworthy quantitative risk management tools. VaR has become the most widely used and accepted indicator of downside risk. Today, commercial banks and financial institutions utilize it as a tool to estimate the size and probability of upcoming losses in portfolios and, as a result, to estimate and manage the degree of risk exposure. The goal is to obtain the average number of VaR “failures” or “breaches” (losses that are more than the VaR) as near to the target rate as possible. It is also desired that the losses be evenly distributed as possible. VaR can be modeled in a variety of ways. The simplest method is to estimate volatility based on prior returns according to the assumption that volatility is constant. Otherwise, the volatility process can be modeled using the GARCH model. Machine learning techniques have been used in recent years to carry out stock market forecasts based on historical time series. A machine learning system is often trained on an in-sample dataset, where it can adjust and improve specific hyperparameters in accordance with the underlying metric. The trained model is tested on an out-of-sample dataset. We compared the baselines for the VaR estimation of a day (d) according to different metrics (i) to their respective variants that included stock return forecast information of d and stock return data of the days before d and (ii) to a GARCH model that included return prediction information of d and stock return data of the days before d. Various strategies such as ARIMA and a proposed ensemble of regressors have been employed to predict stock returns. We observed that the versions of the univariate techniques and GARCH integrated with return predictions outperformed the baselines in four different marketplaces.

Evaluating the price effects of multifamily and single-family housing construction on surrounding single-family homes in Stockholm: a difference-in-difference analysis

PurposeThis study aims to examine the impact of housing construction on single-family housing values and the implications for urban development.Design/methodology/approachTo achieve this objective, the author used the difference-in-difference methodology to examine the effect of multifamily and single-family housing construction on surrounding single-family homes in Stockholm, Sweden. The author analysed data from approximately 480 housing construction projects between 2009 and 2014 and 17,000 single-family detached house transactions between 2005 and 2018.FindingsThe research found that multifamily construction projects did not affect the value of surrounding single-family homes, while single-family home construction had a negative impact. The author attributes this result to single-family housing projects typically located in areas with initially positive externalities, while multifamily housing projects are often located on the edge of areas with negative externalities before construction.Research limitations/implicationsThe research is limited by its focus on a specific geographic area and time frame, and future research could expand the scope to include other cities and regions and different periods. Additionally, further research could examine the impact of housing construction on other economic factors beyond housing values.Practical implicationsThe research has practical implications for urban planners and policymakers. They should consider the potential negative impact of new single-family home construction on existing single-family housing areas while balancing the need for new housing in urban areas. By carefully evaluating construction locations, policymakers can create more sustainable, livable and equitable urban environments that benefit all members of society.Originality/valueThis research paper contributes to the field of housing economics by examining the impact of housing construction on single-family housing values in the context of urban development and climate change mitigation. Using a difference-in-difference methodology, the study provides evidence of the price effect of multifamily and single-family housing construction on surrounding single-family homes, which has important policy implications for urban planners and policymakers. By identifying the negative impact of single-family home construction on surrounding areas and highlighting the need for careful evaluation of construction locations, the research provides valuable insights for creating sustainable, livable and equitable urban environments that benefit all members of society.