Demand Framework Research Articles

Evaluation of long-term care expenditures from the silver economy perspective

Silver economics is a field of science that evaluates the long-term care needs that develop because of aging from the economics perspective within the supply and demand framework. The expenditures and investments made to meet long-term care needs constitute the main subject of long-term care expenditures. This study empirically tested the relationship between long-term care expenditures and life expectancy. Expenditures on long-term care facilities (LTCFE) were taken as the dependent variable, and life expectancy at birth (LEAB) and life expectancy at 65 years and over (LEO65) were taken as independent variables. The analysis included data from 25 countries with regular LTCFE from 2004 to 2020. The variables were analyzed using the econometric model established within the framework of panel data analysis. According to the least squares analysis results, a 1% increase in LEAB increased LTCFE by 2.1%, while a 1% increase in LEO65 decreased LTCFE by 0.54%. Moreover, a unidirectional causality relationship was found between LTCFE and LEAB and LEO65. The empirical evidence suggests that life expectancy impacted LTCFE. According to the findings, they emphasize the importance of aligning policy frameworks with demographic changes to ensure sustainable long-term care systems in aging societies.

The Role of Information in Building a More Sustainable Economy: A Supply and Demand Perspective

ABSTRACTInterest in sustainability information, from investors, managers, researchers, and others, has been expanding rapidly. We discuss recent advances and open questions related to sustainability reporting and disclosure through the lens of a supply and demand framework. Our discussion builds on prior research on financial reporting and highlights unique aspects of the provision of sustainability information.

A two-stage approach for modeling, performance evaluation, and decision support of disassembly processes

ABSTRACT This paper tackles an issue of disassembly lot-sizing within the framework of stochastic batch demand for multi-products featuring a two-level structure. The suggested methodology relies on a batch deterministic and stochastic Petri net as a modeling tool to address such problems in the context of stochastic processes. The primary objective is to determine the optimal sequencing of disassembly for each product type to meet stochastic batch demands of root items across multiple criteria. A novel mathematical model is introduced to minimize the cumulative costs associated with disassembly operations and extra costs, as well as holding costs for diverse products. In a subsequent stage, a decision support tool, namely the preference ranking organization method for enrichment evaluation method, is put forward for prioritizing different scenarios. For assessing the efficiency of the suggested approach, a real case study from the manufacturing industry is simulated. The simulation results prove the suggested approach’s capability to adapt to dynamic demands for leaf items throughout the planning horizon.

Open spaces and emergent dwellings. Innovative solutions to sustainable renovation of student housing.

Abstract The paper aims to report the research results that deal with the theme of educational open spaces such as schoolyards or student housing, framing it in an environmental dimension capable of enhancing the existing identity and landscape quality elements, at the same time responding to climatic vulnerabilities, but also to new needs of users, with adequate performance responses. The proposed research is part of a scientific collaboration agreement developed aim of supporting it in the field of environmental issues and innovative technologies for student housing with Agenzia del Demanio at the end to write guidelines for spatial functional, technological and environmental aspects of its sustainable design of heritage to be converted into student housing. University student living is an evolving form of housing, subject to significant investment and design experimentation. In addition to the issue of housing, the open space related to student housing even in the face of emergent dwelling becomes a continuation of housing and therefore cannot be underestimated. The proposed methodology from best practice highlights a new demand framework useful for the development of the guidelines of which an excerpt concerning open space is proposed here.

The effects of host and home country economies on MNEs’ overseas CSR investment

We employ a supply and demand framework to integrate mainstream theoretical lenses and assess the heterogeneous roles of host and home country economies on MNEs' overseas CSR investment. Using a sample of the world's 100 largest non-financial MNEs from 2015 to 2018, as published by UNCTAD, we find that host country economic performance is positively associated with MNEs' CSR investment in host countries, and home country economic performance exhibits a U-shaped relationship with MNEs' CSR investment in host countries. By distinguishing CSR into do-good and do-no-harm CSR, we further find that host country economic performance positively affects both types of CSR investment. Home country economic performance has a U-shaped effect on do-good CSR investment, but it is negatively related to do-no-harm CSR investment. Our study provides a more generalized insight into the impact of host and home economies on MNEs' overseas operations, thereby enriching our understanding of CSR management by MNEs.

Intelligent risk management: natural language processing real-time triage of police calls for service

ABSTRACT Can an intelligent call center improve the deployment of a safe and effective diversified response (e.g., differential police response, coresponse and Alternate First Responders)? This article examines a proof-of-concept intelligent call center for enhanced 911 call processing, at the City of Seattle (Washington, USA). This study employed common commercial technology to 1) transcribe incoming 911 call audio, 2) render a real-time forecast of call risk and 3) visualize the results for personnel handling the call as “intelligent decision support.” This project proves a “human-inthe- loop” application of Machine Learning (ML) can support the professional judgement of experienced human operators with a precise, low-latency forecast of call risk. Further, the demonstrated system is designed to learn. As a diversified response system evolves, statistical feedback is incorporated using the Risk Managed Demand framework. Implications for risk management, the opportunity for diversified response, and the ethics of ML are discussed.

Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand

Extensive evaluations exist concerning the linkage between objective task demands and subsequent effects on user performance. However, the human user also experiences a range of emotions related to external task demands. Problematically, little is known about the associations between emotional valence, and arousal associated with the task demand–performance axis. In this paper, we advance a theoretical model concerning such interactive influences using three dimensions: (1) emotional valence, (2) arousal, and (3) task demand. The model evaluates the impact of these dimensions on user performance. It also identifies critical emotional user states, particularly those resulting in negative performance effects, as well as non-critical emotional states that can positively impact performance. Finally, we discuss the implications for affect-adaptive systems that can mitigate the impact of critical emotional states while leveraging the benefits of non-critical ones.

Non-functional demand model vs functional demand model: prospects for competitiveness in a transforming world

The purpose of the article is to analyse the problem of changing the relationship between non-functional and functional demand. The main task of the presented research is to define the most competitive model (based on functional or non-functional demand) of consumer behaviour in the conditions of the economy of the 20s of the XXI century. To solve this problem, we studied the structure of consumer demand: functional and non-functional ones. We identified the features of non-functional demand, and considered the reasons for its expansion in modern society. Moreover, paper highlights fixing changes in consumer orientations, which resulted in the search for satisfaction not only of material needs, but also aesthetic, emotional, and social ones. It allowed us to formulate a conclusion on the existence of objective reasons for the spread of non-functional demand. Within the framework of non-functional demand, we perform an analysis of origin and expansion of the downshifting phenomenon through the transformation of the basis of functional demand. The authors believe that qualitative changes in global socio-economic development have revolutionized the theoretical concepts of rationality, which are the basis of the functional demand model. Nevertheless, authors criticise the interpretation of downshifting as a model of irrational consumer behaviour, and put forward a hypothesis on the legitimacy of this new phenomenon to be analysed within the framework of functional demand. The authors consider the assumption of the possibility of changing the objectives of society to be a condition for the realization of this hypothesis. it can cause the transformation of «efficiency» concept over the past 300 years. Paper forecasts increasing of non-economic goals rationality, cooperation, mutual benefits, and the coupling of knowledge and technology to moral, cultural, and ethical principles and norms. As a result, in the contrary to the widespread assessment of downshifting as a deviant form of consumer behavior, there was put forward hypothesis considering downshifting as a part of classical consumer choice matrix, taking into account the transformation of this matrix itself.

Matching supply and demand of cooling service provided by urban green and blue space

Urban blue-green space (UBGS) has been extensively investigated for its climate regulation capability in the context of climate change. However, current efforts are limited toward the cooling effects mismatch in supply and demand of UBGS. This study adapts the framework of ecosystem supply and demand to quantify the supply-demand matching of the cooling effects of UBGS. Two indices were proposed to evaluate cooling provision and demand of UBGS: Cooling Supply Index (CSI), accounting for cooling contribution and spatial effect, and Cooling Demand Index (CDI), considering physical and social dimensions of cooling demand. Four-quadrant analysis and bivariate local indicators of spatial autocorrelation (BiLISA) analysis were employed to distinguish the supply-demand matching status: high supply with high demand, low supply with high demand, low supply with low demand, and high supply with low demand. The results show that 1) CSI and CDI yield great performance in quantifying cooling supply and demand, respectively; 2) the four-quadrant analysis and bivariate LISA analysis are complementary to each other, and can target those areas in different matching statuses for climate-sensitive planning and design; and 3) particular attention should be given to areas characterized by low supply with high demand. This study marks a crucial step toward integrating social aspects into the analysis of cooling effects provided by UBGS. It enriches the analysis framework for urban ecosystem services and provides valuable guidance for landscape planning to mitigate heat stress.

Energy import dependence, renewable energy deployment, and carbon emissions in G20 countries

AbstractAgainst the background of unbalanced global energy distribution and increased exogenous shocks to energy trade, major countries bear special responsibilities for energy security and the achievement of greenhouse gas emission reduction under the Paris Agreement. Stabilizing energy supply chains and deploying renewable energy on a large scale are seen as fundamental ways to address both issues. To this end, this paper uses a sample of G20 countries covering the period 1980–2020 to estimate the links between energy import dependence, renewable energy deployment, and carbon emissions per capita. The results indicate that the energy import dependence of G20 countries can act as a combined brake on carbon emissions in large developed countries and emerging market countries, suggesting that global energy trade also has an additional role in reducing carbon emissions. Oil import dependence as one of the robustness check strategies further confirms these findings. The impact mechanism estimates imply that the channel for reducing carbon emissions of energy import dependence was to prompt countries to accelerate renewable energy deployment. Within the established framework of energy demand and economic growth, the universal deployment of renewable energy is a fundamental way to achieve environmental friendliness. These findings provide insights into multinational coordinated policies that ensure open and cooperative international energy markets and a transnational energy trading system that puts humanity on a path to global carbon neutrality.

Modelling the determinants of birth tourism demand: a time series analysis

ABSTRACT Birth tourism has been steadily rising in recent years as potential mothers travel across borders with the main purpose of giving birth. However, the economic reasons behind this form of tourism have not been adequately examined in the existing literature. This study explores the determinants of birth tourism by incorporating factors such as the average income of visitors, price level, exchange rate, and infant mortality while accounting for the potential impact of the Citizenship Amendment Act 2005 in New Zealand. The variables have been introduced into the model using a standard tourism demand framework and a new dynamic autoregressive distributed lag method has been used in the study. Ultimately, rising income of visitors and exchange rate are reported to boost birth tourism while rising price reduces birth tourism. The result also shows that the implementation of the Citizenship Amendment Act 2005 has no significant effect on birth tourism, which implies that monetary and financial considerations such as the income of tourists, price level, and exchange are the most important drivers of birth tourism in New Zealand.

Limited supply: Youth underrepresentation in the Canadian House of Commons

Much of the research on youth representation focuses on the final stage of electoral recruitment: young peoples' presence in legislatures. We expand this scope using a supply and demand framework to document the representation of young people not only in parliament but also in the candidate stage that proceeds it. Drawing on an extensive dataset of more than 3000 candidates in Canadian federal elections from 2008 to 2021, we show that young peoples’ numerical underrepresentation is not primarily a function of voter discrimination but rather a result of the small number of young candidates who come forward. We find that limited youth representation in the candidate pool translates into low representation rates in parliament. These results suggest that efforts to ameliorate youth underrepresentation in politics must be attentive to supply-side issues, including party gatekeeping, resource constraints, political ambition, and the motivations for running for office.

Application of traditional culture in modern cultural and creative product design in the era of artificial intelligence

Abstract This paper obtains design demand keywords from online review data of cultural and creative products and builds a framework of modern cultural and creative product design demand in the era of artificial intelligence by combining with consumption intention. Oriented to integrating traditional culture in the design of cultural and creative products, the graphic image processing technology is used to extract conventional cultural elements and optimize the pattern and image enhancement of cultural and creative products. Then the parametric technology is used to transform the design of traditional cultural symbols and elements. Setting satisfaction scores from five aspects: color, shape, material, function and cultural connotation, using satisfaction index to score the cultural and creative products of traditional culture, and carrying out the test of conventional cultural imagery conveyance of cultural and creative products, “artistic,” “full of representative significance The mean values of “artistic”, “representative” and “cultural value” are 4.573, 4.602, 4.518, and the P value is 0.000, which is significant, and the integration of the essential visual characteristics of the theme design of the cultural and creative products is effective. The works combined with the modern cultural and creative product design framework can highlight the traditional cultural qualities.

Consumer preferences for ride-hailing: Barriers to an autonomous, shared, and electric future

Research has shown that automation, carpooling, and electrification combined in a mobility on demand framework have the potential for theoretically large emissions reductions. However, less research has been done regarding consumer preferences and behavioral responses to this vision of transportation of the future. In this paper we use choice experiment data collected from an online ride-hailing survey to quantify consumer preferences for these technologies. Our results suggest there are major barriers to consumers’ willing to ride in such vehicles. We find that respondents require large discounts to ride in driverless vehicles or to carpool with other passengers, even holding ride time constant. Though they are open to riding in EVs and HEVs, they are not willing to pay more to do so. Safety concerns and an unwillingness to ride with strangers appear to be the primary drivers of these preferences.

Trade war fallout: Exploring the altered landscape of US wooden furniture imports

AbstractWe examined the effects of the trade war on US wooden furniture imports by product category (kitchen, bedroom, other) and exporting source (e.g., China, European Union, Vietnam) using a two‐stage demand procedure and general nested demand framework. There were significant competitive relationships across exporting countries. However, when both trade creation and diversion were considered, competitive relationships either diminished or became complementary. Consequently, elimination of the trade‐war tariffs would increase imports from China but would also benefit countries like Vietnam. However, results indicate that imports from China would still be significantly less than pretrade war levels if the tariffs are eliminated.

Global value chain upgrading effect of foreign capital withdrawal: Evidence from Chinese firms

Is foreign capital withdrawal historical opportunity or realistic challenge for Chinese firms to upgrade their global value chain (GVC)? Based on the framework of demand and supply, this study examines the impact and main characteristics of foreign capital withdrawal on upgrading Chinese firms’ GVCs and finds that foreign capital withdrawal promotes the upgrading of firms’ GVC as a whole and the effect is a consequence technological innovation on the supply side and the market scale on the demand side, especially exploratory innovation, utilisation innovation and the domestic market demand. Further research shows that the effect of foreign capital withdrawal on GVC upgrading of small- and medium-sized firms, general trading firms, foreign capital holding firms and non-Hong Kong, Macao，and Taiwan foreign forms is stronger. Foreign capital withdrawal from firms with a low-technology organic composition has a significant GVC upgrading effect; besides, the GVC upgrading effect of foreign capital withdrawal in competitive industries is obviously stronger than that in monopolistic industry. These conclusions help in better understanding China’s foreign capital withdrawal and its economic impact, developing efficient and reasonable countermeasures and promoting Chinese firms in the global market.

Exploring Consumer Demand in Women’s Professional Basketball

This research aimed to conceptualize the relationships between consumer demand and WNBA spectatorship from the Stimulus-Organism-Response perspective to better understand what product features of WNBA events impact consumption. As a league that fully embraces fan engagement through social justices initiatives, we do not know what specific core product features in the contemporary landscape of the WNBA lead to high perceptions of product quality and increased consumer demand. The Conceptual Framework of Consumer Demand for Core Product Features of the WNBA Live Game introduces Interactive Activity and Advocacy Programming as a way to understand the unique environmental features of WNBA consumption.

The labor market impact of inflation uncertainty: Evidence from Sub-Saharan Africa

Over the past decades, monetary policy has been receiving increasing attention in the explanation of the raising share of unemployment in developing countries, especially in the context of the debate on inflation targeting. This study contributes to the current debate by revisiting the effect of inflation (IF) and its uncertainty (IFU) on employment in an inflation-driven labor demand framework applied to 26 Sub-Saharan African countries over the period 1996–2017. The combination of threshold and quantile regression methods points to an asymmetrical effect of IF and IFU on employment across different labor demand spectrums. The respective threshold levels of IF and IFU are approximately 6.07% and 0.75%. While inflation negatively influences employment beyond the estimated threshold, a reverse effect is observed for inflation uncertainty. Overall, the negative net effect of IF and IFU on employment exceeds the corresponding net employment gains, especially among non-inflation targeting countries with lower levels of employment. One fundamental implication is that policy makers should adopt explicit inflation- and uncertainty-targeting policy framework in order to sustain labor market outcomes.

The Global Factors Driving Common Inflation In ASEAN

Purpose: This study investigates the comovements of inflation across ASEAN countries and identifies the global factors driving the common inflation dynamics of the region. Design/methodology/approach: The study uses a two-step approach. The dynamic latent factor model is first employed to estimate the common inflation of the region in the period between 2000Q1 and 2022Q2. In the second step, a bound test approach to autoregressive distributed lag (ARDL) methodology is employed to estimate the model of common inflation, which is constructed based on the aggregate supply - aggregate demand (AS-AD) framework. Findings: The study finds a common factor of inflation across ASEAN countries. The analysis of variance decomposition indicates the significant role of common inflation in the variations of individual countries' inflation. World economic growth, oil price change, non-fuel commodity price change, and trade openness are the main drivers of ASEAN common inflation in both short and long terms. Research limitations/implications: The study focuses mainly on supply-side factors, although some demand-side factors are involved. Future studies should pay more concerns on the trade linkages among regional countries and the similarities in goals in the region. Originality/value: The study examines the common inflation component across ASEAN countries, which has not been sufficiently investigated. It also evaluates the drivers at the global level of common inflation, which has limited empirical evidence.

Estimation and attribution of water storage changes in regulated lakes based on Budyko’s supply–demand framework

Study regionLake Dianchi, southwest China Study focusUnderstanding changes in lake water storage (LWS) and its attribution to climate change and human activities is essential for adaptive management of water resources in regulated lakes. Although altimetric measurements, whether ground- or satellite-based, can reproduce LWS dynamics, they do not provide sufficient information on why LWS is changing. Neither the water balance method nor detailed hydrological modeling can capture exactly LWS change in most regulated lakes largely because of the scarcity of water output observations. Here, a simple water balance model, following Budyko’s supply–demand framework, was proposed to estimate LWS change in regulated lakes without the need for water output information. The elasticity of LWS was theoretically derived from the Budyko-type model to attribute LWS change to its main driving factors. New hydrological insights for the regionApplication of the proposed model to the Lake Dianchi for the period 1964–2022 indicated that the model accurately captured the variations of annual LWS in Lake Dianchi with a relative root mean square error of 4.23%, and correlation coefficient of 0.77. The attribution results suggested that lake regulation strategies were the chief determinant of LWS change in Lake Dianchi, while water transfer had a limited contribution. This study suggests that complex hydrological behavior in regulated lakes can be explored using Budyko's supply–demand framework with a low requirement for data.