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The objective of the study is to determine the electricity use, and tourism industry environmental impacts, and increase in CO2 emissions in Pakistan. What are the linkages of foreign direct investment, intercountryal trade, gross domestict product, and CO2 emissions. The study has applied the Autoregressive distributed lag (ARDL) method to analysis the data set from 1985 to 2023. The robustness test is applied using Dynamic Ordinary Least Square (DOLS), and Fully modified ordinary least squares (FMOLS). The results reveal that the increase in the electricity use, and tourism industry has significant negative impacts on CO2 emissions in both short- and long-run. The increase in intercountry trade effects the Domestic Product growth (GDP) growth and causes to increase in use of fossil fuels, which are the major source of CO2 emissions. The increase in foreign direct investment (FDI) increase the GDP growth, and FDI also increase the CO2 emissions in Pakistan. The results suggests that the incresae in the renewal energy consumption for the electricity production and transportation can help to decrease the CO2 emissions in Pakistan.

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Objectives: Data breaches are a financial and operational threat to hospitals. In this study, we examine the association between a data breach and information technology capital and labor investment. Methods: In this retrospective cohort study, we used American Hospital Association data from 2017 to 2019 and an unbalanced panel of hospitals with 6751 unique hospital-year observations. The breached group had 482 hospital-years, and the control group had 6269 hospital-years. We estimated the association between data breaches, information technology capital, and labor investment using the average treatment effect with propensity-score matching. Results: From 2017 to 2019, hospitals experienced more hacking and information technology incidents but fewer thefts and losses. We found that hospital data breaches were associated with a 66% increase in employed information technology staff and a 57% increase in outsourced information technology staff. Breaches were not associated with information technology operating expenses and information technology capital expenses. Conclusion: Higher information technology labor investment due to the remediation of data breaches is an added cost to the healthcare system. Hospitals and policymakers should consider initiatives to improve cybersecurity and protect patient data.

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Cross-regional investment behavior plays a pivotal role in enterprise development and regional economic growth. Nonetheless, existing investment network analyses often adopt a broad perspective, most studies tend to invest in network models and focus on a particular industry, and pay less attention to investment models in different industries. Therefore, this paper will combine the dual perspectives of space and network to observe the spatial and temporal evolution characteristics of enterprise investment and its investment model. Additionally, it delves into the unique features of investment networks within various industries at the district and county levels. The results show that enterprise investment agglomeration exhibits a development pattern characterized by points, bands, and surfaces, with a notable distance attenuation trend in investment distances. The overall structure of the industry investment network showcases characteristics of being multi-centered and multi-nodal. The investment models across different industries can be categorized into four distinct types. The research conclusion is of great significance to optimize multi-scale intercity investment, realize industrial gradient transfer and promote the coordinated development of industry.

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Leaf economics spectrum (LES) describes the fundamental trade-offs between leaf structural, chemical, and physiological investments. Generally, structurally robust thick leaves with high leaf dry mass per unit area (LMA) exhibit lower photosynthetic capacity per dry mass (A mass). Paradoxically, "soft and thin-leaved" mosses and spikemosses have very low A mass, but due to minute-size foliage elements, their LMA and its components, leaf thickness (LT) and density (LD), have not been systematically estimated. Here, we characterized LES and associated traits in cryptogams in unprecedented details, covering five evolutionarily different lineages. We found that mosses and spikemosses had the lowest LMA and LT values ever measured for terrestrial plants. Across a broad range of species from different lineages, A mass and LD were negatively correlated. In contrast, A mass was only related to LMA when LMA was greater than 14 g cm- 2. In fact, low A mass reflected high LD and cell wall thickness in the studied cryptogams. We conclude that evolutionarily old plant lineages attained poorly differentiated, ultrathin mesophyll by increasing LD. Across plant lineages, LD, not LMA, is the trait that represents the trade-off between leaf robustness and physiology in the LES.

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The paper offers a commentary on the distinction between positive body image and body neutrality by applying Cash's cognitive-behavioral perspective. In particular, the two dimensions of valence and importance are used to position the body image constructs. It is concluded that positive body image and body neutrality are much more similar than different.

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Background: The increasing prevalence of child and adolescent overweight and obesity (CAOAO) in Beijing poses significant health and economic challenges. This study assesses the potential health and economic outcomes of implementing specific interventions to address CAOAO in Beijing. Methods: A deterministic Markov cohort model was used to estimate the impact of five interventions from 2025 to 2115: restrictions on unhealthy food marketing to children, mandatory front of package labeling (FOPL), family-based nutrition and exercise education, school-based nutritional health education, and nutritional counseling in primary healthcare. The model evaluated societal costs, healthcare savings, wages, and economic productivity in adulthood, calculating the return on investment (ROI) for each intervention and their combined effect. Result: Without intervention, Beijing is projected to experience a loss of 13.4 million disability-adjusted life years (DALYs) due to CAOAO. The health and economic impact of childhood obesity in Beijing is projected to be CNY 14.6 trillion (USD 2.1 trillion), or a lifetime loss of CNY 6.8 million (USD 0.96 million) per affected child, exceeding the sum of Beijing's GDP from 2021 to 2023. Restrictions on unhealthy food marketing to children and nutrition counseling in primary healthcare are projected to yield the highest returns, with benefits accruing within one year of implementation. Owing to the substantial upfront costs, including personnel, materials, and training, school-based and family-based interventions require a longer time horizon to realize significant health and economic benefits. Conclusions: Effective management of CAOAO in Beijing demands a multifaceted approach. The combination of restrictions on unhealthy food marketing to children, mandatory front of package labeling, nutrition counseling in primary healthcare, school-based intervention, and family-based intervention presents the most substantial health and economic returns. This comprehensive strategy aligns with global best practices and addresses the unique challenges faced by Beijing in combating childhood obesity.

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In seeking to improve upon CTO percutaneous coronary intervention (PCI) success rates and minimize risk, CTO modification procedures (investment procedures) have been developed and utilized with increasing frequency. Two key techniques have emerged: subintimal tracking and re-entry (STAR) and subintimal plaque modification (SPM). Both require a staged approach with an index procedure for plaque modification and a second procedure weeks later for stenting. Both approaches require entry and wiring with a polymer jacketed wire in the extra plaque space (EPS), yet unlike SPM which exclusively requires angioplasty of the EPS throughout the CTO segment, STAR also involves re-entry into the true lumen distal to the CTO before angioplasty. STAR and SPM in many ways represent a paradigm shift in our approach to CTO PCI from a 1-step to 2-step approach in complex cases. In this review, we discuss the technical aspects of the procedures, as well as controversies and ongoing trials pointing to the future of these techniques. We also highlight non-device-based and intravascular ultrasound-based approaches to antegrade dissection and re-entry, which add to the CTO operator's toolkit for challenging cases.

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Green technology is an important path to achieve low-carbon development, and green credit provides financial support for green technology innovation. Existing literature often fails to pay attention to the important role of spatial factors and outliers in green technology innovation. Based on 2005-2022 provincial panel data in China, this paper uses a novel spatial lag quantile model to explore the impact of green credit on green technology innovation and its impact mechanism. The empirical results indicate that green credit exerts a greater positive impact on green technology in the provinces with moderate technical level. Technological innovation has the characteristic of spatial spillover. The spatial spillover of technology contributes more to green technology innovation in the provinces with low- and medium-tech level. This result has been proven even after robustness test of the changes in sample units, and the replacement of core variable values. Further mechanistic analysis demonstrates that banking market structure and enterprise R&D investment both produces the greater impact on green technology innovation in the low-tech provinces such as Qinghai, Ningxia, and Hainan. This article provides policy reference for local governments to formulate green finance policies and promote carbon neutrality strategies.

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The gradual implementation of environmental protection tax policies has incentivized enterprises to engage in green production, effectively promoting China's accelerated achievement of the "dual­carbon" goal. Although environmental protection tax has an important impact on the investment and financing decisions of heavily polluting enterprises (HPE), few studies have focused on the relationship between environmental protection tax and mismatch of financing and investment maturities. In this paper, we consider China's environmental protection tax reform as a "quasi-natural experiment", and utilize the data of A-share listed companies from 2013 to 2022, and use a difference-in-differences (DID) model to assess the impact of this policy on the degree of mismatch of financing and investment maturities of HPE. The study shows that the implementation of the environmental protection tax policy (EPTP) significantly reduces the investment and financing maturities mismatch of the HPE, but this effect "fails" in the high tax rate area, and the policy is difficult to reverse the financing difficulties of the enterprises with a large degree of their own investment and financing maturities mismatch. The mediation mechanism test proves the EPTP acts on the mismatch of financing and investment maturities through two paths: alleviating the financing constraints faced by enterprises and increasing external supervision pressure; the impact of the policy has a time-differentiated effect, which is weakened year by year.

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This research investigates the intricate relationships between economic variables and how they affect South Asian nation's ability to develop sustainably. Given the growing concerns about climate change and global warming brought on by emissions of greenhouse gases, this study looks into the connection between emissions of CO2, green energy, industrialization, foreign direct investment, economic globalization, and financial development from 1995 to 2022. Second-generation panel techniques were employed in this study to look at the relationship between variables because of the potential of residual cross-sectional dependency and heterogeneity. The empirical outcomes display that green energy, economic globalization, and financial development reduce CO2 emissions by 1.839%, 1.223%, and 3.902% respectively. Industrialization and foreign direct investment degrade the environment by 4.302% and 1.893% respectively. A bidirectional causality link between green energy, industrialization, economic globalization, and CO2 emissions was found by Dumitrescu and Hurlin (D-H). Based on our findings, we recommend legislative support for renewable energy, cleaner technologies, and strict environmental regulations, aligning with the Sustainable Development Goals (SDGs). Encouraging FDI, sustainable practices, and financial development can drive economic growth while preserving the environment. As we approach COP28, this holistic approach to sustainable development becomes increasingly vital for South Asian countries to achieve their SDG targets and combat climate change.

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Despite remarkable success in attracting foreign direct investment (FDI) to achieve maximum economic growth, the Next-11 emerging economies grappling with an undesirable situation of environmental degradation have become a hot topic at COP28. Researchers have long focused on this connection, emphasizing the urgent need for international and national environmentalists to promote sustainable development (SD) in these rapidly growing economies under the United Nations (UN) Framework Convention on Climate Change action plans. As a result, this study examines the role of FDI in the N-11 emerging economies, focusing on energy usage and technological innovation within the theoretical framework of the Halo-Haven hypothesis, covering the period from 1990 to 2022. We utilize ARDL, FMOLS, and DOLS techniques to analyze both short-term dynamics and long-term equilibrium relationships, effectively managing heterogeneity, time dynamics, and cross-sectional dependence issues to produce comprehensive results. The long-term analysis supports the haven hypothesis, demonstrating an affirmative relationship between FDI, economic growth, and carbon emissions, whereas energy usage is negatively associated with carbon emissions. Furthermore, the D-H test established a reciprocal causal relationship between variables such as FDI, economic growth, trade openness, and environmental pollution. However, we found a one-way causal correspondence in the usage of green energy, the technological innovation index, and carbon emissions. Given the mixed findings, policymakers should focus on attracting FDI to the green energy sector while reinforcing regulations and implementing stringent oversight for FDI in energy-intensive industries. This approach will ensure that such investments adhere to high environmental standards, thereby benefiting future generations.

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To decarbonize the economy and spur high-quality development, formulating effective environmental policies to encourage low-carbon technology innovation is increasingly critical. While the energy-consuming right transaction represents a significant institutional breakthrough, its potential to motivate enterprises towards low-carbon technology innovation remains underexplored. To address this gap, our study utilizes panel data from Chinese listed enterprises between 2009 and 2020, employing the energy-consuming right transaction pilot policy to develop a difference-in-difference model that assesses the policy's impact on low-carbon innovation. Our findings indicate that the implementation of energy-consuming rights transaction has boosted low-carbon innovation efforts by 14.3 %. In-depth analysis shows that R&D investment and green agency costs are crucial mediators, with energy-consuming rights transaction enhancing R&D capital and personnel investments by 2.1 % and 1.5 %, respectively, and reducing green agency costs by 1.8 %. The study also uncovers the moderating role of digital finance, which amplifies the positive effects of energy-consuming rights transaction on low-carbon innovation. Moreover, energy-consuming rights transaction shows a more significant effect on improving low-carbon innovation for low energy-consuming and non-state-owned enterprises. These insights underscore the importance of precisely segmenting energy-consuming enterprises and devising customized policies to meet their unique needs, paving the way for a national energy-consuming right transaction market.

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The important feature of the multi-attribute decision-making (MADM) technique is to identify an ideal solution and aggregate collective cognitive fuzzy information of human opinion. To serve this purpose, we explore the concepts of the bipolar complex fuzzy set with positive and negative support terms. A few applications of the Hamy mean (HM) and Dual Hamy mean (DHM) models are also discussed to find out the relationship among input arguments or different preferences. For this, we derive a family of mathematical approaches by incorporating the theory of bipolar complex fuzzy information such as bipolar complex fuzzy Hamy mean (BCFHM), bipolar complex fuzzy weighted Hamy mean (BCFWHM), bipolar complex fuzzy Dual Hamy mean (BCFDHM), and bipolar complex fuzzy weighted Dual Hamy mean (BCFWDHM) operators. Derived mathematical approaches are more applicable and can express the influence of uncertain information due to the involvement of additional parameter values. Based on diagnosed research work and mathematical methodologies, we establish a decision algorithm for the MADM problem to resolve real-life dilemmas. An experimental case study demonstrates the compatibility of derived approaches and evaluates the investment policy's sustainability based on certain parameters. The advantages and consistency of the proposed research work are verified in the comparative study with various existing aggregation operators.

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This study investigates the influence of accounting conservatism on corporate innovation investment through the lens of information asymmetry theory. While existing literature acknowledges the importance of accounting conservatism in corporate decision-making, there remains a gap in understanding how it specifically affects innovation investment, particularly in varied market environments and regulatory contexts. Specifically, current research often overlooks the heterogeneity of the impact of accounting conservatism on innovation investment under different market environments and regulatory frameworks. Additionally, there is a lack of specialized studies on the unique group of Chinese listed companies. This study fills this gap by empirically analyzing data from Chinese A-share listed companies, revealing a negative correlation between accounting conservatism and corporate innovation investment. Through empirical analysis of the financial reports and research and development (R&D) investment data of Chinese A-share listed companies from 2015 to 2022, this study finds a significant negative correlation between accounting conservatism and corporate innovation investment. Specifically, as accounting conservatism increases, corporate investment in R&D shows a decreasing trend, with a correlation coefficient of -0.364. This result is further validated by hierarchical regression analysis, where the regression coefficient is -0.465, indicating that accounting conservatism has a significant inhibitory effect on corporate innovation investment. This study is pioneering in its examination of the relationship between accounting conservatism and corporate innovation investment within the unique market environment of China, taking into account its distinctive characteristics and rapidly evolving technological industry background. To quantify accounting conservatism, the research employs the C-Score and G-Score models, while employing a range of indicators to measure corporate innovation investment, including proportions of R&D expenditure, number of new products or services, patent applications, total R&D personnel, capital investments, and progress in innovation projects. This comprehensive evaluation method enhances the accuracy and reliability of the study. The contribution of this study is significant as it offers a fresh perspective on how accounting conservatism influences corporate innovation investment. By providing empirical data support, it assists investors and corporate managers in making informed financial decisions and shaping innovation strategies. Through hierarchical regression analysis, the study substantiates the detrimental impact of accounting conservatism on corporate innovation investment, thereby establishing new theoretical and practical foundations for further research and application in related fields.

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Robo advising is an emerging business model that aims to popularize investment advisory services by automating all the activities involved. The robo-advisor (RA) stream of research is relatively new, yet it has started to attract the attention of numerous scholars. This manuscript aims to analyze the academic literature on RA based on its impact on the different phases that make up the investment advice process. Our aim is to investigate which phases of the investment advice service prove of most interest to scholars. Since selecting relevant and precise keywords increases the visibility, accessibility, and indexing of a research paper, we explore the RA research landscape using keyword relational analysis. We analyze metadata from 195 identified papers combining the Scopus and Web of Science databases until May 2022. The analysis unfolds in two parts. First, we examine the relationships and associations of keywords in titles, abstracts, and author keywords to extract knowledge patterns from said associations. As a novelty, a specific dictionary of RA-synonyms formed by 19 disjoint families of concepts is obtained. The second part presents the RA's conceptual and relational structure. For this, five clusters are determined to identify and organize those studies dealing with similar topics. The results of our study suggest that research is more interested in aspects related to the human factor, namely, those with phases requiring more direct contact with the client or investor. The most relevant research interests include the automation of client profiling functions and client response to the latter automation.

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With increasing textile consumption and limited sorting and recycling capacities, the EU faces major challenges in terms of managing its textile waste. This study investigates the environmental and socio-economic impacts of explorative policy scenarios for a more sustainable textile waste management system in Europe. These scenarios differ substantially in the amounts of textile waste generated and separately collected, closed-loop recycling capacities and textile waste exports. Our results show that sustainable textile waste management remains highly relevant for the sector. Still, without addressing in parallel prevention of textile waste generation via production and consumption patterns, a climate-neutral and circular textiles sector will be hard to achieve. Interventions in the waste management of textiles could reduce global warming impacts by up to 22.3 Mt CO2 per year, which translates to an 18% sector-wide impact by 2035. Depending on the intervention(s), the estimated required investment at present amounts to between 7 and 33 billion EUR. The study provides a valuable starting point for evidence-based decisions on future textile policymaking in Europe.

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Parental investment increases offspring fitness at the expense of the parent's ability to invest in other offspring. In many animal species, parents guard their offspring after birth. The parental decision over the duration of this period is expected to be triggered by the associated fitness costs and benefits for both offspring and parents. Here, we evaluated the relevance of several intrinsic and environmental variables in determining brooding period duration in the wandering albatross (Diomedea exulans) and questioned whether brooding duration was related to chick subsequent survival and biometry prior to fledging. We used a semi-experimental design to increase the variance in cat abundance, a recent predator of albatross chicks, and predicted that an increased predation risk at the nest scale would trigger longer chick brooding and thus, protection. In addition, we questioned the influence of weather conditions, hatching date, and characteristics of chicks (sex and biometry) and parents (sex and age) on brooding duration. We report no effect of predation risk or parental characteristics on brooding duration. However, the probability for a parent to end brooding decreased with forthcoming unfavorable weather. Our data also revealed reduced brooding duration for late-hatched chicks and a positive association between brooding duration and chick structural size, and between the frequency of shifts between parents and chick structural size. Finally, brooding duration was not associated with chick survival or with chick biometry prior to fledging. We discuss these results in light of pre-existing hypotheses on fitness costs and benefits associated with brooding duration for chicks and parents.

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Solar photovoltaic (PV) projects are pivotal in addressing climate change and fostering a sustainable energy future. However, the complex landscape of renewable energy investments, characterized by high upfront costs, market uncertainties, and evolving technologies, demands innovative evaluation methods. The Real Options Approach has emerged as a powerful tool, offering strategic flexibility in decision-making under uncertainty. This paper comprehensively analyzes the application of real options for evaluating solar photovoltaic projects in 2008-2023. Analysis of document descriptors (author keywords, index keywords, and noun phrases extracted from titles and abstracts) reveals that the dominant research topics in the last ten years (2014-2023) include investment optimization, strategic analysis, energy policy, optimization of energy generation and investments in wind energy. These descriptors are used to analyze the evolution of research interests on a two-year basis and reveal the yearly evolution of the research topics. Finally, the concept of emergence is used to unveil emerging research trends, providing valuable insights for researchers and practitioners in the renewable energy sector. Ultimately, this work contributes to a deeper understanding of how real options analysis empowers decision-makers to make informed choices in advancing clean and sustainable energy solutions.

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The psychiatric care team offers comprehensive, personalized support, raising public awareness, promoting mental equilibrium and combating stigmatization. Its role includes collaboration, communication, designing adapted treatment plans and creating a climate of trust to influence the quality of care. In this way, she contributes to a more inclusive and caring society. As such, her own state of well-being deserves special attention. However, they often work in a highly degraded ecosystem that can be likened to psychiatry in a war zone.

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Enterprise innovation remains a cornerstone of economic development, with the direct influence of financialization on enterprise innovation standing as a critical factor. In contrast with the existing research, this study constructs an evolutionary game model by utilizing the Cournot model to analyze the innovation behavior of enterprises, and analyzes the influence of financialization on enterprise innovation by incorporating investment returns, market competition, and demand scale into the research framework. In addition, this study selects the sample of the Chinese non-financial listed enterprises and using panel data for the period 2009 to 2021. Based on the findings from the empirical analysis, this study reveals that excessive financialization hinders innovation in Chinese enterprises. Additionally, an intermediary pathway involving 'financialization - investment returns - enterprise innovation' is identified as a transmission mechanism. The demand scale generated by innovation inversely correlates with the inhibitory effects of financialization on enterprise innovation behavior. Meanwhile, heightened market competition amplifies the inhibitory influence of financialization on innovation. This study provided valuable empirical evidence, facilitating the enhancement of enterprise innovation efficiency.