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The present study examines the assumptions, modeling structure, and results of DICE-2023, the revised Dynamic Integrated Model of Climate and the Economy (DICE), updated to 2023. The revision contains major changes in the treatment of risk, the carbon and climate modules, the treatment of nonindustrial greenhouse gases, discount rates, as well as updates on all the major components. Noteworthy changes are a significant reduction in the target for the optimal (cost-beneficial) temperature path, a lower cost of reaching the 2 °C target, an analysis of the impact of the Paris Accord, and a major increase in the estimated social cost of carbon. [ABSTRACT FROM AUTHOR]

Residential owned solar panels mounted on roof-tops generated 1.4% of the U.S. electricity supply in 2022. Utilities compensate residential customers using a net metering system by which each kilowatt-hour generated by the customer reduces the customer's bill by the amount the utility charges for one kilowatt. Despite the small impact of roof-top solar on the total market, in 2022, thirty-two states conducted ninety-four proceedings investigating whether to change the net metering system. In these proceedings, utilities advocated changing the rates to discourage residential investment in solar panels. Utilities argue that net metering provides a subsidy to solar customers because the rate the utility pays is greater than the avoided cost of energy. That excess payment allows solar customers to avoid paying for the distribution network. The cost of the distribution network is shifted to non-solar customers. This article will evaluate these claims. It will show that if the social cost of carbon were in the calculation, it would generate a Kapp cost shift from solar customers to non-solar customers. The size of the Kapp cost shift is greater than the cost of distribution networks, reversing any private cost shift that utilities have estimated. [ABSTRACT FROM AUTHOR]

This study aims to explore the structure of the households' social capital of rural Vietnam households with secondary data from 2008 to 2018. This paper applied the fundamental theories (resource and network theories) and the Bayesian network to estimate the interaction of proxies to explore the structure of social capital. Results showed that the triangle structure in household social capital with the core point is organization participation. The connections show the tendency from organization participation, linking to household networks. Alongside that, linking social capital and Organization participation are determinants of social capital indicators (social events, social cost). Therefore, this paper suggests employing proxies such as structured indicators for integrating social capital into the livelihood papers. [ABSTRACT FROM AUTHOR]

This paper examines big data analytics implications on the central banking financial system's technological progress. A digital technological progress framework and model is established to analyze the economy's aggregate supply via covering the monetary policy, big data analytics, pollutants emissions as independent variables and the economy's aggregate demand as a moderating variable in a modified extensive growth theory framework and model to compute the productivity indicators and the total factor productivity (TFP) as the central banking technological progress that combined the mentioned variables qualities contribution. Besides, data analytics positive and negative externalities that include data analytics shortcomings as unpriced undesirable output in the form of cybersecurity and pollutants' emissions among other proxies are internalized in the framework and the model to integrate the digital technology innovation with digital technology shortcomings and climate change. This revised extensive theory framework and model is a remarkable technique comprehensive of the technological progress matters and sustainable economic development and is considered one of the most important sustainable development and long-run economic growth proportions in the central banking financial system functions to manage the economy's aggregate supply and demand that unnoticed by previous studies. [ABSTRACT FROM AUTHOR]

The increased usage of navigation technologies has caused conflicts in local traffic management, resulting in congested residential areas among other challenges for residents. This paper uses content analysis to investigate such negative social externalities within local communities and neighbourhoods. Through a corpus of 90 news articles about traffic incidents caused by navigation technologies, we identified negative traffic and safety-related externalities, including congestion, damage, pollution, and accidents. We also report on countermeasures by local communities and governments, including street closures, speed limit reduction, and turn bans. Based on our results, we discuss the implications for designing mobile navigation technologies that reduce negative social externalities. [ABSTRACT FROM AUTHOR]

Platforms are a dominant model for coordinating complex economic interactions. Platforms are distinguished by growth through network effects: an increase in the number (N) of platform actors (or complements produced by them) on one side makes the platform more valuable for an actor on the same or other side (and vice versa). This paper unbundles the network effect—the feedback loop—into directional and distinct types of network externalities that define the value received by each platform side. For example, value from a network externality may relate to variety (e.g., Google Play apps) or availability (e.g., Uber rides). Furthermore, at times, network externalities can have a negative impact. Although the existing literature recognizes some of these constituents, we lack an integrative framework. To address this gap, we first distinguish the heterogeneity and persistence of platform value units to identify a 2 × 2 typology of four positive and negative network externalities: quantity versus rivalry, accumulation versus fragmentation, variety versus choice overload, and utility versus degradation. Second, we generalize network connectivity and horizontal complementarity as two types of network externality amplification. Third, we demonstrate how all these dynamics play together in interactions that ultimately underscore the platformvalue and growth. [ABSTRACT FROM AUTHOR]

Using daily data since 2017, we disentangle China-specific structural shocks driving Chinese financial markets and examine spillovers across global markets. The novelty of this paper consists of simultaneously identifying China shocks with shocks emanating from the United States and shocks to global risk sentiment - two major forces driving global financial markets - to ensure that China spillover estimates do not reflect common factors. Our results show that shocks originating in China have material impacts on global equity markets, although spillovers are much smaller than those following shocks in the United States, or those triggered by shifts in global risk sentiment. By contrast, shocks from China account for a significant proportion of variation in global commodity prices, more on a par with those of the United States. Nevertheless, spillovers from China can be significantly amplified in an environment of heightened global volatility, or when the shocks are large. [ABSTRACT FROM AUTHOR]

The rapid growth of on-demand ride service platforms has made it increasingly important for these platforms to efficiently match services by understanding driver characteristics and consumer preferences. This paper aims to investigate the pricing strategy by considering the impact of consumer preference heterogeneity and the different service types offered by drivers. The findings of this study reveal the need for the platform to strike a balance between service cost and the benefits of high-quality drivers, which can be referred to as the "cost-performance ratio". If the "cost-performance ratio" that attracts high-quality drivers is high, the platform will attract high-quality drivers or drivers of all types to participate while offering differentiated services. Otherwise, the platform will only provide services through low-quality drivers. Furthermore, the platform will also consider when to offer differentiated services based on network externalities and service quality. When the network externalities of the two types of services are similar, the platform will differentiate them based on service quality differences. Overall, considering consumer preference heterogeneity, drivers of service types, and network externalities, this paper provides guidance for platforms to make optimal decisions that enhance their service offerings and improve overall customer satisfaction. [ABSTRACT FROM AUTHOR]

An important share of the social housing stock in Flanders is outdated, resulting in a high energy demand for heating. Energetic renovation is hence urgently needed. The current economic model, however, does not stimulate this due to a split incentive. As energy prices have increased in the past few years, more tenants have suffered from energy poverty. This paper investigates three alternative economic models aiming at increasing the incentive for renovation, while financially protecting the tenants. In the first alternative model, tenants are protected by inducing a maximal cost of living based on their income. In the second alternative model, a fixed rent is applied, while the third alternative model proposes to share the cost benefits of the energetic renovation. The paper analyses the alternative models by assessing the costs and income for social housing companies and the costs for tenants for an unrenovated building, a renovation with a low investment cost and a deep energetic renovation. The results show that limiting the cost of living based on income seems most interesting as this is beneficial for the tenants and gives an incentive for the social housing companies to renovate. To reduce energy poverty, a deep renovation is necessary. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to propose a methodology for assessing an optimal portfolio of investment instruments that minimise the social costs of decarbonising economic activity while improving the environmental objectives proposed in EU legislation. Design/methodology/approach: The methodology defines the net social cost of decarbonisation related to a portfolio of four instruments: installation of solar PV and wind generation, thermal insulation of households and deployment of heat pumps. The social cost is minimised by restricting it to the minimum level of the targets proposed in the Spanish National Energy and Climate Plan to reduce greenhouse gas emissions, increase generation from renewable sources and reduce energy consumption. The empirical approach also includes differences between regions according to the expected effect for instruments. Findings: The application of this methodology to the environmental objectives defined in the current Spanish National Energy and Climate Plan for 2030 concludes that it is clearly possible to reduce the social cost of decarbonisation while improving environmental performance through a reorientation of investment instruments. In this case, such a reorientation would be based on a minimisation of efforts in thermal insulation of households and a maximisation of measures aimed at the installation of heat pumps. Originality/value: The paper proposes a novel methodology for a social cost assessment that improves the allocation of a portfolio of environmental instruments. This portfolio could be extended in further work to include instruments related to transport or support for industrial decarbonisation, such as the deployment of renewable hydrogen, among others. [ABSTRACT FROM AUTHOR]

Food reserve is the cornerstone of national strategic security. China strives to build a complementary reserve system between government and enterprises, and how to improve the efficiency of food reserves is a matter of great concern to the government and society. Based on the analysis of the connotation of food reserve efficiency, this paper constructs the revenue function and the cost function of food reserve in an emergency and uses the cost-benefit method to explore the best ratio of government reserve, corporate social responsibility reserve, and commercial inventory when maximizing the efficiency of food reserve. This ratio is closely related to the total food reserve, the scale of supply interruption, the reserve cost of food stored by enterprises, and the government's subsidy cost for the social responsibility reserve. The unit subsidy cost of government to social responsibility reserve is inversely proportional to the proportion of corporate social responsibility reserve to corporate reserve. Doing a good job in the social responsibility management of food enterprises is an effective way to improve the efficiency of food reserves. To expand the scale of social responsibility reserves and realize "storing food in enterprises," the subsidies given by the government for corporate social responsibility reserves should not be too high. Taking food social responsibility reserve as an important part of corporate social responsibility, it's the key to promoting enterprises to actively undertake food social responsibility reserves. The conclusion of this paper provides a theoretical basis and decision-making reference for how to improve the efficiency of food reserves. [ABSTRACT FROM AUTHOR]

In the ongoing debate about the feasibility of enforcing a transition to decentralized energy conversion systems, arguments are often presented that lack scientific rigor. Granted, the issue is multi-faceted and fundamentally multi-disciplinary, and possible solutions strongly depend on the selection of location as well as on local climate and demographics. Furthermore, decentralizing the final energy distribution leads to potential socio-economic considerations that involve value judgements. However, the most serious problem is that media have appropriated the topic and are often publishing opinion papers authored by non-specialists and even by representatives of interest groups. The present paper proposes an approach that is innovative on two counts: first, it treats "final energy" as any other commodity and therefore expands the field of investigation to the problems arising from the decentralization of a generic production line or technological chain; second, it argues that a method solidly rooted in Thermodynamics, the Extended Exergy Accounting, may be used to quantify the total amount of primary exergy resources requested by a decentralized strategy (as opposed to a centralized one), so that a comparison can be performed and discussed on a rational, unbiased and scientific basis. This is an introductory paper that reports some theoretical results of the method: realistic applications are perforce excluded because the idea is that the procedure must be drafted in such a way to be applicable to different socio-economic scenarios and locations and to remain valid under a broad range of boundary conditions. [ABSTRACT FROM AUTHOR]

Copyright of Economic & Regional Studies/Studia Ekonomiczne i Regionalne is the property of Sciendo 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 studied the impact of high-speed railway linesonagricultural outputin the regions along their routes. It also investigated the heterogeneity of this impactbased on the terrain characteristics. The results of empirical testsusing county-level data show that ahigh-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regionswith gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Ourfindingsprovide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and providesa theoretical basis for the economic spillover effects of high-speed railway construction. Plain Language Summary: This paper studied the impact of high-speed railway lines on agricultural output in the regions along their routes. It also investigated the heterogeneity of this impact based on the terrain characteristics. The results of empirical tests using county-level data show that a high-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regions with gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Our findings provide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and provides a theoretical basis for the economic spillover effects of high-speed railway construction. [ABSTRACT FROM AUTHOR]

This paper provides a brief overview of China's capital controls, external asset holdings and the real interest rate, and analyzes the quantitative effects of China's macroeconomic policies between 2000 and 2015, including capital controls, interest rate policy, exchange rate policy and fiscal policy, on the dynamics of China's trade balance vis-a-vis the United States and the world real interest rate. In my analysis, I take into account the demographic differences between the countries, which affect the external imbalances directly and indirectly by affecting the transmission of the macroeconomic policies. Capital controls in China remain stringent even though they have somewhat eased in 2010s, and its gross external asset holdings differ from its peer countries both in terms of the largest functional categories and by type of investment. The average interest rate spread with the US has narrowed down. According to my analysis, the macroeconomic policies overall, and mainly the undervaluation of the real exchange rate, have had a positive impact on China's trade balance. The impact of the macroeconomic policies on the real interest rate has been positive, countering the negative trend induced by demographic factors. [ABSTRACT FROM AUTHOR]

The high-quality development of tourism aims to improve tourists’ sense of well-being and fulfillment. The improvement of tourists’ sense of well-being will not only enable tourists to obtain positive emotional experiences but is also an important way to improve their quality of life. However, the existing research has not yet reached a clear conclusion on how tourists’ sense of well-being is formed, whether tourists’ sense of well-being will spill over (i.e., knowledge sharing) after tourists obtain it, and whether the destination familiarity brought by the spillover of sense of well-being (i.e., knowledge sharing) will affect other tourists. Therefore, based on the experience marketing theory and the embodiment theory, this paper empirically examines the formation and spillover effect of tourists’ sense of well-being through structural equation modeling (SEM). The research shows that: (a) Subject presence has a positive effect on tourists’ sense of well-being, which further promotes knowledge sharing and realizes the spillover of tourists’ sense of well-being, and tourists’ sense of well-being plays a mediating role between subject presence and knowledge sharing; (b) Destination familiarity resulting from the spillover of sense of wellbeing (i.e., knowledge sharing) plays a negative moderating role in the positive impact of subject presence on tourists’ sense of well-being. This paper not only expands the boundaries of research on tourists’ sense of well-being and embodiment theory to some extent but also provides theoretical support and countermeasures for the high-quality development of China’s tourism and even service industry. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Eating Disorders is the property of BioMed Central 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.)

Interactions between people and large carnivores on shared landscapes can have harmful social and ecological consequences. Human–carnivore coexistence depends on an assemblage of sociological factors including effective management institutions that address the social costs of carnivore conservation and promote tolerance toward wildlife. In East Africa, large carnivores are particularly troublesome for herders who depend on livestock for subsistence and wellbeing. This paper provides an overview of human–hyena conflict in the Tarangire ecosystem of northern Tanzania. It presents descriptive results from a questionnaire survey (n = 1076) administered as part of an anthropological study (2019–2020; 2022; 2023) of human–wildlife interactions across twelve villages inhabited by Maasai agropastoralists. The survey instrument was designed through community-based participatory research methods to convey herder concerns about the impacts of spotted hyenas (Crocuta crocuta) on the livestock economy. Based on the perceptions and local ecological knowledge of Maasai interlocutors, the paper provides an overview of the spatial and temporal patterns of human–hyena interactions. Perceived frequencies of hyena attacks on kraaled livestock were unevenly distributed geographically, with those homesteads surrounding Manyara Ranch most heavily affected. Based on herder-reported livestock losses, the costs of depredation by spotted hyenas across the study area were estimated at approximately USD 904.84 per household per year. Most homesteads lacked fortified bomas and would benefit from the provision of lights and fencing materials to improve kraal structures. The paper's central finding is that spotted hyenas represent a pressing, everyday concern for local pastoralists. Unsurprisingly, herders despise hyenas and are intolerant of sharing landscapes with them. For carnivore conservation outside protected areas to thrive in Tanzania, conservationists and policy makers must engage more meaningfully with the lived experiences of local herders who bear the brunt of conservation costs on their livelihoods. [ABSTRACT FROM AUTHOR]

This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from "preference externalities," following the intuition in Waldfogel (2003). We highlight two dimensions in favor of the IV approach. First, an econometric model of the data-generating process reveals that the border approach requires a set of identification assumptions that are not easily satisfied in practice: the ignorance of some payoff-relevant information and conflicting spatial correlation assumptions. The IV approach, in contrast, exhibits greater internal validity because it is derived from the model that generates the data. Second, the border approach suffers from representative issues when the true effect sizes are different between border and off-border regions. We use a common political advertising example to evaluate these estimators and suggest ways to evaluate or limit the above concerns, such as excluding localities that are a large share of the policy making region and evaluating spatial correlations of observables. We find the border approach's representative issue to be substantial when the ignorance assumption is most plausible and observe that spatial correlations do not reflect those needed in the unobservables for consistency of the estimator. The IV, in contrast, does not exhibit concerns related to local average treatment effects. We also derive the specific conditions when the border approach can reduce bias relative to OLS. This paper was accepted by Raphael Thomadsen, marketing. Funding: This work was supported by National Natural Science Foundation of China (NSFC) [72072004, 72131001]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2023.4977. [ABSTRACT FROM AUTHOR]

The urban knowledge network in China has undergone in-depth development in recent decades, intimately connecting the position characteristics of cities in the knowledge network to their knowledge production performance. While existing research focuses predominantly on the unidirectional relationship between network position and the knowledge production of cities, there is a notable dearth of studies exploring the bidirectional relationship between the two constructs. By proposing a conceptual framework, this paper empirically examines the interplay between network position and knowledge production of cities through simultaneous equation models. The results revealed a mutually reinforcing relationship between network position and knowledge production, and this relationship exhibits heterogeneous characteristics and spillover effects. Specifically, cities in the periphery block and the central-western region benefit more from the effect of network position on knowledge production, while cities in the core block and the eastern region benefit more from the effect of knowledge production on network position. Moreover, the interactive effect between network position and knowledge production of cities is significantly affected by the network position characteristics and knowledge production performance of their neighboring cities in geographically adjacent regions and relationally adjacent regions. These findings enhance the understanding of urban network externalities and the connotations of the knowledge production function. [ABSTRACT FROM AUTHOR]

The process of the liberalisation of services of general economic interest (SGEI) in the EU adopted the universal service (US) regulatory model. The objectives of the process were to strengthen free competition and improve social welfare. SGEIs have the characteristic of networked services and, as such, generate network externalities, as considered by the theory of market failures. This paper analyses the potential of the US in its role as a remedy for network externalities. In the SGEI context, the large number of participants reinforces network externalities, while limiting coordination mechanisms between users. Based on the relevant literature, a theoretical debate arises around the contribution of universal service obligations (USOs) to social welfare. A microeconomic analysis shows that USOs modify consumers' utility functions by shifting from inefficient market equilibria to efficient equilibria, thereby improving social welfare. [ABSTRACT FROM AUTHOR]

This paper studies a novel social commerce practice known as "help-and-haggle," whereby an online consumer can ask friends to help her "haggle" over the price of a product. Each time a friend agrees to help, the price is cut by a random amount, and if the consumer cuts the product price down to zero within a time limit, she will get the product for free; otherwise, the product reverts to the original price. Help-and-haggle enables the firm to promote its product and boost its social reach as consumers effectively refer their friends to the firm. We model the consumer's dynamic referral behavior in help-and-haggle and provide prescriptive guidance on how the firm should randomize price cuts. Our results are as follows. First, contrary to conventional wisdom, the firm should not always reduce the (realized) price-cut amount if referrals are less costly for the consumer. In fact, the minimum number of successful referrals the consumer must make to have a chance to win the product can be nonmonotone in referral cost. Second, relative to the deterministic price-cut benchmark, a random price-cut scheme improves firm payoff, extracts more consumer surplus, and widens social reach. Additionally, in most instances, it also reduces the promotion expense while increasing profit from product sales at the same time. Third, help-and-haggle can be more cost effective in social reach than a reward-per-referral program that offers a cash reward for each successful referral. However, using the prospect of a free product to attract referrals cannibalizes product sales, potentially causing help-and-haggle to fall short. Yet, if consumers are heterogeneous in product valuations and referral costs or face increasing marginal referral costs, help-and-haggle can outperform the reward-per-referral program. This paper was accepted by Elena Katok, operations management. Funding: L. Yang acknowledges the Berkeley Haas Center for Growth Markets [2022 Grant Award]. C. Jin acknowledges the Singapore Ministry of Education Academic Research Fund [Tier 1 Grant 251RES2101]. Z. Shao acknowledges support from the National Natural Science Foundation of China [Grant 72071188]. All authors acknowledge the Networks, Electronic Commerce and Telecommunications (NET) Institute [2022 Summer Research Grant]. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2023.4948. [ABSTRACT FROM AUTHOR]

This paper develops a model of private bilateral contracting, in which an exogenous network determines the pairs of players who can communicate and contract with each other. After contracting, the players interact in an underlying game with globally verifiable productive actions and externally enforced transfers. The paper investigates whether such decentralized contracting can internalize externalities that arise due to parties being unable to contract directly with others whose productive actions affect their payoffs. The contract‐formation protocol, called the "contracting institution," is treated as a design element. The main result is positive: There is a contracting institution that supports efficient equilibria for any underlying game and connected network. A critical property is that the institution allows for sequential contract formation or revision. The equilibrium construction features assurance contracts and cancellation penalties. [ABSTRACT FROM AUTHOR]

The concept of social capital has gained significant attention in recent years due to its potential for improving individual and collective well-being, and for its significance in shaping social, economic, and political structures. This study aims to measure the social capital of rural Vietnam households with data from 2008 to 2016. The authors identified different aspects of household social capital as well as social capital proxies from livelihood papers. This paper applied the fundamental theories (the resource theories and network theories to measure the household social capital in Vietnam. We propose to apply the MIMIC model (multiple indicator multiple cause model) to construct the household social capital along with integrating the indicators in both views of household social capital. Results highlight the importance of understanding the multifaceted nature of social capital, which includes different forms of social networks, social participation, and social costs. The findings suggest that participation in diverse organizations plays a vital role in the formation of household social capital. In addition, the MIMIC model shows that participation in social networks is the most important factor in the formation of household social capital. Therefore, we give some implications for the measurement as well as characteristics in the social capital of households in Vietnam. The study contributes to the existing literature on social capital by emphasizing the importance of understanding the different aspects of social capital and how they interact with each other in shaping the livelihoods of rural Vietnamese households. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to contribute to the theoretical discussion on the best way to define Corporate Social Responsibility. The methodology used is a bibliographic review through a search for articles in different catalogues (Redalyc, Ebsco, JStor, SAGE, Science Direct, and Springer), focusing on articles that addressed the study of definitions of this concept. The different ways of defining it are identified and analysed in order to find a definition can encompass all the others. The paper also proposes that locating this concept at the level of management philosophy (and not simply as a desirable or expected behaviour) facilitates the construction of agreements around a consensual definition, unlike under the predominant behavioural approach of its conceptualisation as corporate behaviour. The paper concludes by proposing to define Corporate Social Responsibility as a management philosophy based on the responsible management of the company's operational externalities on stakeholders, society, and the environment. It is concluded that this definition contributes to the theoretical discussion, strengthens empirical research, and improves the application of Corporate Social Responsibility in the corporate world. [ABSTRACT FROM AUTHOR]

With the change of climate issues and the needs of economic development, the idea of practicing green and low-carbon behaviors sinks deeper and deeper into people's hearts. This paper based on the social cost of carbon (SCC) model, this paper constructs a new carbon social cost model by adding the impact of green low-carbon behavior. Classify climate states, based on Bayesian statistical knowledge, study the posterior probability distribution of climate state transitions, and discuss the optimal carbon policy for different climate states by balancing emission utility costs and utility weighted carbon marginal products. This article also discusses the damage caused by rising temperatures and explores their impact on carbon price policies. then, the paper calculates SCC under four kinds of climate states, which will be visually displayed with graphs. Finally, we compare SCC obtained in this paper with that in other researches. The results show that: (1) Climate status has a significant impact on carbon policy, and carbon price predictions will dynamically change with climate status. (2) Green low-carbon behavior has a positive impact on climate status. (3) There are differences in the impact of the three types of damage caused by rising temperatures on carbon price policies. (4) Green development is conducive to stabilizing the value of SCC. (5) Close monitoring of the climate state helps to update the probability of damage in time so that we can precisely adjust the corresponding policies on SCC. This study provides theoretical and empirical reference for the government to formulate carbon price policies and promote the development of social green behavior. [ABSTRACT FROM AUTHOR]

This paper reviews the literature on foreign direct investment (FDI), productivity, and technology upgrading, with a focus on macroeconomic and microeconomic models. It compares the performance of various models used to study FDI and its effects on firms' productivity, via skill and technology upgrading, offshoring, institutional quality, and other related factors. This review highlights the differences and similarities between macroeconomic and microeconomic models, their empirical strategies, and their ability to provide a comprehensive understanding of the mechanisms through which FDI affects productivity and other variables. The empirical literature on the impact of FDI on the productivity of local firms is derived from association studies, which use a neoclassic production function and an augmented Solow-type equation. These models have been shown to be inadequate in capturing the dynamic and complex nature of FDI and the associated externalities, particularly vertical externalities. This paper identifies three criticisms of the literature on pecuniary externalities, including a lack of models that focus specifically on the mechanism of forward linkages, inadequate measures to assess linkage effects, and the failure to include crucial determinant factors in empirical models. Overall, this paper calls for more comprehensive and nuanced models that incorporate the dynamic and complex nature of FDI and its externalities. [ABSTRACT FROM AUTHOR]

This paper tackles the challenges inherent in crowdsourcing dynamics by introducing the CROWDMATCH mechanism. Aimed at enabling crowdworkers to strategically select suitable crowdsourcers while contributing information to crowdsourcing tasks, CROWDMATCH considers incentives, information availability and cost, and the decisions of fellow crowdworkers to model the utility functions for both the crowdworkers and the crowdsourcers. Specifically, the paper presents an initial Approximate CROWDMATCH mechanism grounded in matching theory principles, eliminating externalities from crowdworkers' decisions and enabling each entity to maximize its utility. Subsequently, the Accurate CROWDMATCH mechanism is introduced, which is initiated by the outcome of the Approximate CROWDMATCH mechanism, and coalition game-theoretic principles are employed to refine the matching process by accounting for externalities. The paper's contributions include the introduction of the CROWDMATCH system model, the development of both Approximate and Accurate CROWDMATCH mechanisms, and a demonstration of their superior performance through comprehensive simulation results. The mechanisms' scalability in large-scale crowdsourcing systems and operational advantages are highlighted, distinguishing them from existing methods and highlighting their efficacy in empowering crowdworkers in crowdsourcer selection. [ABSTRACT FROM AUTHOR]

Copyright of Economic & Regional Studies/Studia Ekonomiczne i Regionalne is the property of Sciendo 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.)

In this paper, we establish a model based on real options theory and fractional Brownian motion (FBM) with jumps to price green bonds, and thus alleviate the externalities of green bonds. We assume that the floating value of green bonds is linked to the carbon price. The carbon emission trading mechanism and government subsidy policy are introduced into this model, and the expression is derived from the stochastic differential utility framework based on the fast Fourier transform method. Based on the numerical analysis and the simulations, this paper analyzes when governments are facing financial and carbon emission constraints and how policymakers balance the allocation between carbon allowances and government subsidies to help green bonds reach the exogenous equilibrium price. Our results have implications in terms of optimizing the distribution of economic resources by the reasonable pricing of green bonds. It is in line with the current theme of global energy conservation and emission reduction, and also has certain guiding significance for the development of the carbon emission trading market. [ABSTRACT FROM AUTHOR]

Heart failure impacts patients' quality of life and life expectancy and significantly affects the daily behaviours and feelings of family caregivers. At the end-of-life, the burden for family caregivers depends on their emotional and sentimental involvement, as well as social costs. Objectives: The aim of this work is to determine whether and how family caregivers' experiences and expectations vary in relation to the places of care and teams involved in heart failure management. Methods: A systematic literature review was conducted, by screening manuscripts dealing with the experience of Family Care Givers' (FCGs) of patients with Advanced Heart failure. Methods and results were reported following the PRISMA rules. Papers were searched through three databases (PubMed, Scopus and Web of Science). Seven topics were used to synthetize results by reporting qualitative information and quantitative evidence about the experience of FCGs in places of care and with care teams. Results: Thirty-one papers, dealing with the experience of 814 FCGs, were selected for this systematic review. Most manuscripts came from the USA (N = 14) and European countries (N = 13) and were based on qualitative methods. The most common care setting and provider profile combination at the end of life was home care (N = 22) and multiprofessional teams (N = 27). Family caregivers experienced "psychological issues" (48.4%), impact of patients' condition on their life (38,7%) and "worries for the future" (22.6%). Usually, when family caregivers were unprepared for the future, the care setting was the home, and there was a lack of palliative physicians on the team. Discussion: At the end-of-life, the major needs of chronic patients and their relatives are not health related. And, as we observed, non-health needs can be satisfied by improving some key components of the care management process that could be related to care team and setting of care. Our findings can support the design of new policies and strategies. [ABSTRACT FROM AUTHOR]

Copyright of Polish Journal of Economics / Gospodarka Narodowa is the property of SGH Warsaw School of Economics 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.)

The purpose of this paper is to prove the existence of a marginal pricing economic equilibrium in presence of increasing returns and externalities in a commodity space general enough as to encompass the vast majority of economic situations. This extends the existing literature on competitive equilibria in vector lattices by incorporating market failures, and it also generalises several non-competitive existence results to a larger class of commodity spaces. The key features are a suitable definition for the marginal pricing rule and an adaptation of the properness condition. [ABSTRACT FROM AUTHOR]

With growing awareness of the environmental, economic, and social costs associated with food waste, there is a concerted effort on multiple scales to recover the nutrient value of discarded food. These developments are positive, but the rapid movement toward alternatives and the complexity of solving problems located at the intersection of economic, social, and environmental systems also have the potential to produce unanticipated risks. This paper draws upon long-term stakeholder-engaged research throughout New England, with a focus on Maine, to develop a transdisciplinary, systems-based model of the potential social, economic, and environmental risks of food waste nutrient cycling. Our effort is intended to help inform the creation of safe, functional, and environmentally benign circular food systems. [ABSTRACT FROM AUTHOR]

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The current paper aims to assess the effects of landscape change in a mountain river basin in the north of Iran through quantifying, mapping, and assessing carbon storage. The analyses were performed based on previous alterations in land use and land cover (LULC) (1988–2018) and on expected changes determined by three LULC alteration setups for 2048. The Landsat imagery from 2018, 2008, 1998, and 1988 was used for evaluating and predicting the spatiotemporal distributions of LULC changes. The future LULC image prediction has been generated using Land Change Modeler (LCM) module of TerrSet software for the years 2028, 2038, and 2048. Validation was carried out by overlaying the actual and projected to 2018 map. We integrated the Markov Chain (MC) and InVEST Carbon Storage and Sequestration (InVEST-CSS) models for simulating the ecosystem carbon storage and the long-term monetary valuation. In this process, we considered social costs/economic value because of the area's loss and gain of stored carbon. The results show that forests and rangelands with good and poor conditions decreased by 631.2, 10,374, and 10,254 ha, respectively, from 1988 to 2018. Overall, modeling and mapping LULC changes showed a descending trend in forests (0.66%), agriculture (0.1%), and rangelands (4.1%) in 2048. In addition, carbon storage has already been lost by 9.9 million tons (76.98 ha−1) from 1988 to 8.8 million tons (68.86 ha−1) in 2018 and is expected to have an 8.4 million tons (65.25 ha−1) loss by 2048. Monitoring the economic value of carbon storage from 1988 to 2018 shows a loss of $US 15684338 (121.8 ha−1) and estimates a loss of $US6972622 (54.18 ha−1) by 2048. Therefore, spatiotemporal design of InVEST model by estimating the carbon value over time focuses on continuous monitoring actions for both the carbon pools dynamic and LULC pattern. This consideration causes reduction the uncertainty of estimated models and also increases the continuous cost of those changes. This will help government and decision makers for long-term and accurate carbon sequestration strategies for ecosystem. [ABSTRACT FROM AUTHOR]

In this paper, we aim to investigate the collusive stability in the presence of network externalities among firms with relative performance in the firm's objective functions. We demonstrate that collusive stability is increasing (decreasing) in the degree of relative performance, product substitutability and network effect when the network effect is sufficiently large (small). A competition agency might need to provide different guidance for anti-competitive regulation in the network industry. [ABSTRACT FROM AUTHOR]

Enterprise Zone is an important part of the regional economic development strategy. This paper investigates the impact of overall urban development and construction of the National Big Data (Guizhou) Experimental Area on the housing prices and found out that the construction of the National Big Data (Guizhou) Experimental Area is more conducive to the rise in suburban housing transaction prices. The paper empirically proves that the construction of the National Experimental Zone is more conducive to small family housing and leads to the increase in the suburban housing trading area, which further implies that the National Big Data (Guizhou) Experimental Area project may lead to the migration of residents to the suburbs, thus the increasing the housing price. Such regional planning is conducive to the changing spatial distribution of the residents, relocating the residents to find jobs and live in the suburbs, and increasing the value of suburban areas. This paper provides evidence to quantify the externalities and the premium of the housing prices in the surrounding area and provides empirical evidence on the spatial externalities in the literature. [ABSTRACT FROM AUTHOR]

In the context of the development of digital finance, the complexity of the network formed by urban digital financial technology has been deepening. Based on Chinese city data from 2010 to 2019, this paper conducts a dynamic evaluation of urban digital financial technology through grey target theory and uses social network analysis methods to study the network structure characteristics of urban digital financial technology and its impact on commercial bank risks. The study found that the spatial network of urban digital financial technology shows a trend of complexity and closeness, developed cities occupy a central position in the network of digital financial technology linkages and are net spillovers of urban digital financial technology. Further research on the impact of urban digital financial network structure on commercial bank risk found that both the overall network structure of urban digital financial technology and individual network structure have a significant inhibiting effect on commercial bank risk. Therefore, this paper focuses on the balanced development of digital financial technology in cities, while seeking to further exert the demonstration role of developed cities and achieve the reduction of risk level of commercial banks through the increase of overall network density and the decrease of network efficiency and network hierarchy. [ABSTRACT FROM AUTHOR]

This paper relies on a high‐frequency identification approach to provide new insights into monetary policy spillovers by major central banks. Our long and broad sample (1999–2019, from four major economies to 47 advanced and emerging market economies) allows us to accurately identify the properties of spillovers and to shed light on different transmission channels. We find that spillovers by the Fed to foreign interest rates are economically large, but more surprisingly, document an intensification of spillovers by the European Central Bank over time. Spillovers are more significant to bond yields in advanced economies than they are to those in emerging markets. Differentiating across key spillover channels, we find strongest support for a financial links channel, but weaker evidence for the macroeconomic links channel and foreign exchange regime channel. [ABSTRACT FROM AUTHOR]

Evaluation of market connectedness and asymmetric volatility spillover has recently seen a surge in financial risk analytics and portfolio diversification. We carried out a meta-literature review on connectedness and spillovers, providing solid insight into the research field and robust guidelines for future investigation. The review consists of a quantitative bibliometric analysis of 594 papers and a qualitative content analysis of 77 papers covering 1991 to 2021. The results of the meta-citation analysis show that Diebold's Spillover index (2007) is the predominant method in most works as far as market connectedness and spillover are concerned. With an extensive review, we achieved the following objectives: (1) Analyze the most influential authors, journals, and publications. (2) Understand the research streams and most studied streams. (3) Understand the theme's structure, thematic evolution, and keyword trends. (4) Examine the pattern of collaboration and most productive affiliations. (5) Explore future research directions and untapped areas. The content analysis revealed the following important research streams in the current literature: (1) Asymmetries in market connectedness. (2) Influence of macro factors in market connectedness and spillover. (3) The role of oil in market spillovers and hedging portfolios. (4) Dynamic cross-market connectedness and spillovers. Our study is the first to employ a meta-review to assess the domain of market connectedness; thus, our work will significantly contribute to macroeconomic policymakers, researchers and hedging investors. [ABSTRACT FROM AUTHOR]

This paper aims to reconsider prosumers' role in the power markets in the early stages of their decentralization, accounting for rising self-supply trends, security threats, and economic and regulatory barriers. The development of prosumerism envisages finding the ratio between retail market sales under the feed-in tariff and the net billing mechanism. Within the methodology section, the indicator of prosumer efficiency for electricity generation (EUR/kWh) is proposed based on average consumption/production ratios and consumption/delivery incentives. To support household prosumers, the mentioned incentives on the renewable energy market consider the self-supply cost of electricity, the levelized cost of electricity for small-scale green energy facilities (solar photovoltaic and wind), and transaction costs. This paper evaluates prosumer efficiency under three consumption/production ratio scenarios for Ukrainian households (self-consumption of 40%, 20%, and 100% of green electricity annually generated by a household and selling the leftovers via the feed-in tariff) for 2023. The gradual movement from fixed tariffs for households toward market-based prices promotes the emergence of new related market players and their consolidation in the market. Participation in the organized power market segments is relevant for day-ahead market prices above 130 EUR/MWh, disregarding the households' tariff rate. The low price caps inhibit the prosumer's participation in the market, while the transition from the feed-in tariff to net billing significantly promotes their development only under high price caps. [ABSTRACT FROM AUTHOR]

This paper proposes a novel model for optimizing limited-stop bus corridor services with consideration of varied payment modes and different trip purposes. In the proposed model, the bus dwell time at a stop is dependent on the fare payment modes and the number of passengers getting off and waiting at the stop while those with the similar trip purpose are grouped into one user class. Given an origin–destination (OD) passenger trip matrix and a set of candidate bus lines serving a corridor, the proposed model is to minimize the total social cost that consists of the cost to the bus operator and the cost to the passengers. In the formulation of the optimization problem, a weighting parameter is adopted to balance the operator cost and the passenger cost. Numerical examples are presented to illustrate the importance of considering passenger flow impacts on bus (and passenger) travel times in the proposed model. We also investigate effects on the optimal limited-stop services (e.g., short-turn, skip-stop, and express) taking into account the choice of fare payment modes (e.g., on-board fare collection including payment by cash, magnetic strip or smart card, off-board fare collection) and different values of travel time due to passenger trip purposes. It is shown that the off-board payment mode would be more efficient in a high-demand corridor, that more passengers prefer to express and skip-stop services rather than normal regular services in the four collection systems, and that different limited-stop service plans should be used for different periods of the day in response to temporal variation in OD passenger travel patterns. The intellectual merit of this paper is not the seemingly obvious conclusions but that the proposed model can handle the problem of limited-stop bus corridor service design with the consideration of fare payment mode choice and trip purposes. [ABSTRACT FROM AUTHOR]

More than thirty-six partial or whole blackouts, from 2016 to 2021, prove that neither the probability of blackouts can be ignored nor the required plans and the readiness of the utilities for power system restoration can be forgotten. To properly deal with blackouts and minimize the social and economic costs, utilities should prepare a suitable restoration plan in advance to quickly restore the system to the normal state and minimize the restoration time and loss of energy. In this paper, after summarizing major blackouts occurred from 2016 to 2021, the progress in the research reports, industrial documents, and books in the context of power system restoration is reviewed to show and classify the different aspects of power system restoration plans and strategies presented during these years. This review indicates that although there are many published methods and techniques which have tried to give more autonomous solutions, there are still more complexities in power system restoration. However, this paper respects all efforts and attempts and tries to illustrate the achievements, up to now, in power system restoration, as well as research gaps. [ABSTRACT FROM AUTHOR]

In this paper, we examine how a trade conflict's impact on the real economy can be amplified by financial intermediaries. After the Norwegian Nobel Peace Prize Committee awarded the 2010 Nobel Peace Prize to Chinese dissident Liu Xiaobo, China in practice banned imports of Norwegian salmon. The ban was an unexpected trade shock to the Norwegian salmon industry. Using bank balance sheet and credit register data, we trace how this trade shock affected the lending behavior of banks highly exposed to the salmon industry when the shock occurred. We find that, in the years following the trade shock, highly exposed banks cut back lending to non-salmon firms and households by 3-6 percent more than other banks. Furthermore, we find that the reduction in lending was not driven by the erosion of bank capital, but rather by the shift in expectations about the performance of loans to salmon producers, which drove highly exposed banks to increase their loan loss provisions and reduce risk-taking. [ABSTRACT FROM AUTHOR]

Introduction: Nigeria is Africa's most populous country, third largest fish producer, and second largest aquaculture producer. There have been numerous studies of aquaculture and fisheries in Nigeria, but no study to date has analyzed aquaculture and capture fisheries value chains together, while giving equal weight to all value chain segments and systematically capturing information on temporal trends in value chain structure, conduct, and performance. This paper does so. Methods: We conducted a structured, qualitative, rapid reconnaissance survey of 180 actors from eight segments of the aquatic food value chain in three Nigerian states with contrasting geographies, Ebonyi, Kebbi, and Oyo. Results: Results particularly important for future research and policy are as follows. (1) Partial vertical integration is a common feature of the organization of firms in all value chain segments, as a risk reduction strategy to overcome market imperfections and frictions. Scarcity and high cost of imported intermediate inputs is stimulating local innovation and import substitution manufacturing of feeds and fabricated items. (2) Inter-sectoral spillovers from the poultry industry have hastened the development of fish value chains, while improvements in power supply have enabled the expansion of cold storage capacity, facilitating the geographical lengthening of frozen fish value chains. (3) Rapid technological and/or institutional change is occurring in all value chain segments, including those usually viewed as traditional, such as processing and fishing. Logistics services are becoming more specialized and sophisticated, and digital communications technologies including social media play an increasingly important role in value chain coordination and marketing. (4) Increasing opportunity costs of time drive demand for convenience foods such as smoked and fried fish, which require little further preparation and can be stored at room temperature. Demand for farmed catfish is linked to growing consumption of food away from home at bars and restaurants. (5) Significant opportunities exist to improve the performance of value chains in terms of gender equity, environmental impacts, and food safety. [ABSTRACT FROM AUTHOR]

Digitally enabled higher education involves the in-depth use of new-generation digital technology, which has subverted and innovated the traditional teaching mode, driven the development of high-quality teaching and learning, and improved teachers' teaching experience, and increased efficiency. Based on ecosystem theory, this paper constructs a higher education ecosystem with the government, enterprises, and universities as the core participating subjects. It considers the participating subjects' effort level and the ecosystem's overall benefits under the three scenarios of noncooperative research and development (R&D), cost sharing, and cooperative R&D. The results show that (1) the service innovation effort level of the three parties increases with increasing human resource level and technology maturity, and the government's benefit decreases with increasing cost of fulfilling social responsibility. (2) The government's cost subsidies to universities and enterprises can enhance the service innovation level of both parties and increase the optimal returns of the three parties and the ecosystem as a whole. (3) In the cooperative R&D game scenario, the effort level of the three parties and the total ecosystem returns are greater than those in the noncollaborative R&D scenario, and after determining the subsidy coefficients of the government, Pareto optimality of the three parties and the ecosystem as a whole can be achieved. The conclusions of this study can aid in understanding the dynamic evolution mechanism of digitally enabled higher education and provide a realistic decision-making reference for higher education ecosystem managers. [ABSTRACT FROM AUTHOR]