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Background: Interprofessional student-led clinics offer authentic clinical experiences of collaborative patient care. However, theoretical research on the sustainability of these clinics, considering forms of capital beyond the economic, remains limited. This study addresses this gap by employing Bourdieu's theoretical framework to explore how alternative conceptions of capital; both social and cultural might sustain conditions for interprofessional working in a student-led clinic serving patients living with a chronic neurological impairment. Methods: The teaching and learning focussed clinic was established in 2018 to mirror a clinical service. Semi-structured focus groups with participants involving 20 students from 5 professions and 11 patients gathered in-depth insights into their experiences within the clinic. A thematic analysis was guided by Bourdieu's concepts of field, habitus, and capital. Results: In the complex landscape of the student-led clinic, at the intersection of a patient support group, a hospital-based aged care facility, and university-based healthcare professions, three pivotal mechanisms emerged underpinning its sustainability: Fostering students' disposition to interprofessional care, Capitalizing on collaboration and patient empowerment, and a Culture of mutual exchange of capital. These themes illustrate how students and patients specific dispositions towards interprofessional healthcare enriched their habitus by focusing on shared patient well-being goals. Diverse forms of capital exchanged by students and patients fostered trust, respect, and mutual empowerment, enhancing the clinic experience. Conclusion: This study bridges an important gap in theoretically informed explorations of the conditions for sustaining student-led clinics, drawing on Bourdieu's theory. It accentuates the significance of investment of diverse forms of capital in such clinics beyond the economic, whilst emphasizing a primary commitment to advancing interprofessional healthcare expertise. Recognizing patients as equal partners shapes clinic dynamics. In order for student clinics to thrive in a sustainable fashion, educators must shift their focus beyond solely maximizing financial resources. Instead, they should champion investments in a wider range of capital forms. This requires active participation from all stakeholders; faculties, patient partners, service providers, and students. These findings underscore the importance of investing in interprofessional learning by optimizing various forms of capital, and embracing patients as dynamic contributors to the clinic's sustainability. [ABSTRACT FROM AUTHOR]

Regional integration and pairing assistance are two forms of cross-regional emergency collaboration practice carried out by the Chinese government. Based on the Chinese government's emergency management practice, evolutionary game models of cross-regional emergency collaboration were constructed. Further, the traditional evolutionary game model was improved by introducing the stochastic process, and Gaussian white noise was introduced as a random disturbance. The stochastic evolutionary game model was constructed, and the existence and stability of the equilibrium solutions of the two kinds of stochastic evolutionary game systems for cross-regional emergency collaboration were verified based on the stability discrimination theorem of stochastic differential equations. We used numerical simulations to simulate the evolution trajectories of the regional integration and the pairing assistance stochastic evolutionary game system. In the regional integration game system, when the efficiency of emergency collaboration, the emergency capital stock, and the externality coefficients are higher, positive emergency strategies are more likely to become the stable state of the game subjects' strategy selection. In the pairing assistance game system, the efficiency of emergency collaboration, the rewards and benefits from the central government, and the matching degree between governments all had positive effects on the formation of the positive emergency strategies of the game subjects. In addition, the pairing assistance mechanism for sustainable development requires external support from the central government. [ABSTRACT FROM AUTHOR]

The Nankai Trough Earthquake, which is estimated to have a 70%–80% probability of occurring within the next 30 years, necessitates considering various scenarios due to the extensive seismic source region and call for advancing disaster preparedness measures. Assessing direct damage caused by earthquakes is considered particularly challenging compared to assessing human and physical damage due to its intricate composition. However, the existing research in model analysis aimed at real-time estimation has yielded results, namely, the ability to promptly calculate direct damage from earthquakes using seismic motion and stock quantities as inputs. This study aimed to leverage the research outcomes of real-time estimation to approximate the direct damage costs that would be caused by the Nankai Trough Earthquake. Three hazard assessment cases were selected, based on damage estimations to be attempted. The results indicated that a damage estimation approach based on a common foundation dataset and model analysis considering different occurrence scenarios is more suitable for evaluating results and assessing the importance of mitigation measures than conventional scenario-based damage estimations. [ABSTRACT FROM AUTHOR]

This paper explores labor productivity in Ontario's gold mining industry from 1920 to 1970. The gold produced by a worker is nearly identical in 1920 and 1970, suggesting that the industry experiences no productivity gains over this period. Further, labor productivity in the intervening years was nearly 30% lower than these values, raising concerns about the ability of the industry to remain profitable given a fixed gold price. We look at over 180 different Ontario gold mines comprising nearly the entire industry to determine whether workers become less efficient over time, or whether other factors, such as entry and exit into the industry, declining ore quality, or changes in capital stock, are the primary drivers of this stagnation. This analysis considers the impact of events, such as a sudden 70% rise in the price of gold in 1934, World War II, and the post-war subsidization of the industry on productivity within the industry. [ABSTRACT FROM AUTHOR]

The sustainability of resource use and the management of public finances are both long‐run issues that are linked to each other through savings decisions. To study them conjointly, this paper introduces a public debt stabilization constraint in an overlapping generation model in which nonrenewable resources constitute a necessary input in the production function and belong to agents. It shows that stabilization of public debt at a high level (as share of capital) may prevent the existence of a sustainable development path, that is, a path on which per capita consumption is not decreasing. Public debt thus appears as a threat to sustainable development. It also shows that higher public debt‐to‐capital ratios (and public expenditures‐to‐capital ones) are associated with lower growth. Two transmission channels are identified. As usual, public debt crowds out capital accumulation. In addition, public debt tends to increase resource use which reduces the rate of growth. We also provide a numerical analysis of the dynamics that shows that the economy is characterized by saddle path stability. Finally, we show that the public debt‐to‐capital ratio may be calibrated to implement the social planner optimal allocation according to which the growth rate is increasing in the degree of patience. [ABSTRACT FROM AUTHOR]

The COVID-19 virus continues to circulate in many countries, despite successful attempts to curb previous waves, and hence the issue of effective control both of the epidemic and its economic consequences remains a matter of lively debate. Although the estimated development time for an effective vaccine proved to be relatively accurate, many governments were still unable to devise a clear and coherent control policy during the pre-vaccination period. Policy responses often vacillated between two seemingly conflicting strategies—protecting the economy versus containing the spread of the epidemic by all available means, including mobility restrictions and social and economic lockdown. In the setup of a multidimensional and non-linear optimal control model, we describe the performance of a capital accumulation-based economy in which the revenue generated from production relies on both capital and labor. Using analytical means, we characterize intertemporal policies that ensure an optimal tradeoff between: (i) the level of lockdown, the purpose of which is to contain the epidemic and prevent the national health system from becoming overwhelmed; (ii) the level of investment in treatments; (iii) the level of consumption; and (iv) consequential impacts on labor availability and capital accumulation. We show that the fear of infection alone can be highly capital-destructive. Finally, given an incompressible consumption level, we identify thresholds for the initial endowment in capital below which the stock of capital decreases over time and can eventually become fully depleted. [ABSTRACT FROM AUTHOR]

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There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry model of AI and non-AI enterprise, this paper finds that with the development of artificial intelligence in the same industry, the AI enterprise will occupy a dominant position, attracting labor and capital from the non-AI enterprise into the AI enterprise. In different industries, the development of artificial intelligence improves the production efficiency of the enterprise. However, due to the price effect, non-AI enterprise benefits more. Labor and capital flow from AI enterprise to non-AI enterprise. In order to promote the improvement of production efficiency in the whole society, the government can tax non-AI enterprise and subsidize them to AI enterprise. Taxation promotes the degree of automation and the improvement of production efficiency, but it has only a short-term effect on the development of AI. At the same time, taxation inhibits the development of non-AI enterprise, and there is a high risk of unemployment. When both industries use artificial intelligence for production, the labor share and the capital share of the two industries will tend to the same value. The convergence of technology measures is conducive to increasing labor income share and reducing income inequality, but it is not conducive to innovation. [ABSTRACT FROM AUTHOR]

When designing a stock portfolio, investors must select stocks with different characteristics and increasing price trends and weigh each capital. Both are fundamental to diversifying loss and profit. Therefore, the mechanisms that accommodate both are needed. Based on this, this research aims to design a stock selection and capital weighing mechanism using the MACD-K-means-Mean-VaR model. The moving average convergence–divergence (MACD) is used to analyze stock buying time, providing trend, momentum, and potential price reversal insights. Then, stocks with increasing price trends are clustered using K-means, a grouping simple pattern data method based on specific characteristics. The best stocks from each cluster are capital weighted using the mean value at risk (mean-VaR), a portfolio optimization model adjusting loss possibility to the investor's acceptance tolerance. The mechanism is then applied to Indonesia's 100 stock index data to analyze variable sensitivities and compare it with another model. The application reveals that all variables significantly impact portfolio return mean and VaR, suggesting the need for clustering and analyzing stock price movements in stock portfolio design. This research academically develops a portfolio design mechanism by clustering stocks and analyzing price movement trends. It enables investors to practically diversify and choose stocks with increasing price trends, reducing losses and increasing profit opportunities. [ABSTRACT FROM AUTHOR]

This study aims to investigate the relationship between “trade openness” which represents international trade, and the employment rate, capital stock and GDP per capita for 9 countries selected among emerging market economies (Turkiye, Russia, China, Singapore, Thailand, South Korea, Argentina, Brazil and South Africa) with annual data for the period 1991-2019. In this study, it was used the panel causality analysis. According to the findings of the study, the variables with bidirectional causality relationship are trade openness and GDP per capita, trade openness and employment rate and capital stock. In conclusion, even though international trade is recognized as a powerful engine for economic growth, policies are needed to ensure that the opportunities it offers are shared equally. This requires efforts to promote free and fair trade, a combination of education and infrastructure investments in support of local development, and ultimately a mutually beneficial relationship between countries and their global counterparts. [ABSTRACT FROM AUTHOR]

This study evaluates the economic impact of severe natural disasters in Africa using the generalised synthetic control method. In other words, it assesses how gross domestic product (GDP) would have been affected, had severe natural disasters not occurred. Moreover, it explores the determinants of the destructiveness of the impact of natural disasters, focusing on the role played by capital. We find that severe natural disasters induce a significant and continuous reduction of GDP many years after the event. Indeed, economic losses caused by disasters depend on the level of capital (human capital, employment and capital stock) and aspects of governance quality (political stability and absence of violence). In other words, negative synergies are apparent because while capital stock, employment and human capital unconditionally reduce the macroeconomic impact of natural disasters, the corresponding conditional or interactive effects with political stability are also negative. Policy implications are discussed. [ABSTRACT FROM AUTHOR]

Copyright of Nova Economia is the property of Nova Economia 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.)

We develop a model of endogenous growth with automation to study the impact of industrial robots on growth and labour income. We incorporate human capital accumulation into that framework to examine the role of human capital in sustaining growth without displacing low-skilled labour. While automation replaces low-skilled labour with industrial robots in conducting routine tasks, horizontal innovation creates new varieties in which low-skilled labour has an employment advantage. Labour-augmenting technology takes place to improve productivity of low-skilled labour. As such, those latter types of innovation help counterbalance the adverse effect of automation on low-skilled labour. Human capital, the essential production factor that takes part in every economic activity, including conducting non-routine tasks, accumulates over time through education and training. We show that there exists a long-run equilibrium at which either robots or low-skilled workers are employed, together with human capital, to produce varieties. In the fully endogenous model, final output grows at the rate of human capital accumulation. An improvement in the quality of education and training leads to an acceleration of both automation and variety expansion, but not human capital growth. Our numerical exercise indicates that a permanent increase in automation entails a permanent impact on the range of automated varieties, long-run output level and human capital wage. The shock lowers long-run growth and low-skilled workers' wage and their effective income share. However, it has no effect on the effective income share of human capital. [ABSTRACT FROM AUTHOR]

We exploit changes in U.S. visa policies for nurses to measure the origin-country human capital response to international migration opportunities. Combining data on all migrant departures and postsecondary institutions in the Philippines, we show that nursing enrollment and graduation increased substantially in response to greater U.S. demand for nurses. The supply of nursing programs expanded. Nurse quality, measured by licensure exam pass rates, declined. Despite this, for each nurse migrant, nine additional nurses were licensed. New nurses switched from other degree types but graduated at higher rates than they would have otherwise, increasing the human capital stock in the Philippines. [ABSTRACT FROM AUTHOR]

Copyright of Historia y Memoria de la Educación is the property of Historia y Memoria de la 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.)

This investigation approached the impact of financial incentive policies for renewable energy development on economic growth using panel data with seventeen countries from Latin America and the Caribbean (LAC) from 1990 to 2016. The fixed-effects model (FE) and the quantile via moments (QvM) models were used to accomplish this investigation. The FE and the QvM models showed that the financial incentive policies for renewable energy development and consumption of green energy, public and private capital stock, and globalisation increase economic activity in the countries from the LAC region, while gender inequality reduces it. Indeed, the positive impact of financial incentive policies for renewable energy development and consumption of green energy on economic growth could be related to the possible capacity of these policies to encourage investments in green energy technologies and the consumption of green energy. [ABSTRACT FROM AUTHOR]

Cascading risks that can spread through complex systems have recently gained attention. As it is crucial for decision‐makers to put figures on such risks and their interactions, models that explicitly capture such interactions in a realistic manner are needed. Climate related hazards often cascade through different systems, from physical to economic and social systems, causing direct but also indirect risks and losses. Despite their growing importance in the light of ongoing climate change and increasing global connections, such indirect risks are not well understood. Applying two fundamentally different economic models—a computable general equilibrium model and an agent‐based model—we reveal indirect risks of flood events. The models are fed with sector‐specific capital stock damages, which constitutes a major methodological improvement. We apply these models for Austria, a highly flood exposed country with strong economic linkages. A key finding is that flood damages pose very different indirect risks to different sectors and household groups (distributional effects) in the short and long‐term. Our results imply that risk management should focus on specific societal subgroups and sectors. We provide a simple metric for indirect risk, showing how direct and indirect losses are related. This can provide new ways forward in risk management, for example, focusing on interconnectedness of sectors and agents within different risk‐layers of indirect risk. Although we offer highly relevant leverage points for indirect risk management in Austria, the methodology of analyzing indirect risks can be transferred to other regions. [ABSTRACT FROM AUTHOR]

Copyright of Zarqa Journal for Research & Studies in Humanities is the property of Zarqa Journal for Research & Studies in Humanities 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.)