Impact Of Market Factors Research Articles

Techno-economic assessment of isolated micro-grids with second-life batteries: A reliability-oriented iterative design framework

Reusing lithium-ion batteries retired from electric vehicles (EVs) has received great attention as the performance of these batteries is still adequate for many stationary energy storage applications, such as micro-grids (MGs). To date, the economic and technical performance of second-life batteries (SLBs) in isolated MG systems remains obscure. Hence, this study focuses on the economic assessment of SLBs in an isolated 100% renewable MG, in order to identify a profitable application that promotes SLBs. The MG capacity design parameters are obtained by a two-stage chance-constrained stochastic optimization framework. To enhance the robustness of the MG design, a reliability-oriented iterative design process is proposed. This process involves continuous updates to the MG design, guided by validation results, until all specified requirements are satisfied. The lifetime of SLBs is determined using a semi-empirical degradation model seamlessly integrated into the validation process. Economic comparisons between SLBs and first-life batteries (FLBs) are conducted under identical design requirements, with consideration given to estimating the “price ceiling” and the impact of market factors. The results show that SLBs prove to be a more cost-effective option, especially when there is a demand for high reliability standards and the local electricity prices are comparatively lower.

The Impact of Market Factors on Meaningful Use of Electronic Health Records Among Primary Care Providers: Evidence From Florida Using Resource Dependence Theory and Information Uncertainty Perspective.

Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country. Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida-EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology. Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers. MU achievement after first-year incentives. The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita. All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1). Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU ( P <0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates ( P =0.002), health maintenance organization penetration rates ( P =0.02), and number of PCPs per capita ( P =0.01). These relationships were negative. Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.

The Impact of Market Factors and News Sentiments on Silver Futures ETFs

Abstract This study constructs a multi-factor capital asset pricing model (CAPM) to analyze systematic risk and other influential risk factors in the silver futures exchange-traded funds (silver futures ETFs) market and then provides an analysis of precious metals investments as a reference. Specifically, the volatility index (VIX) and the real estate investment trusts (REITs) are used as influences of silver futures on political and economic factors. In addition, we use text mining to capture news events on the network into a Boolean matrix, which transforms unstructured data into structured data. Further, the term frequency (TF) and inverse document frequency (IDF) algorithm are applied to calculate the most important keywords on the market and measure them in the model after a sentimental evaluation. The empirical results show that the silver futures ETFs market is indeed affected by market news, providing investors in this market with a reference. JEL classification numbers: C10, C13, G00, G10. Keywords: Silver futures ETFs, Volatility index; Real estate investment trusts, Text mining, Inverse document frequency.

The impact of market factors on the development of eco-friendly energy technologies: the case of bioethanol.

Global warming is emerging as the most serious concern for the planet, with greenhouse gas emissions (GHG) contributing considerably to the problem. Consequently, warranting energy sustainability has turned into an urgent issue for scholars and policy-makers alike. Bioethanol has emerged as a viable eco-friendly replacement for avoiding GHG generating fossil fuels. However, bioethanol has faced several hurdles that have discouraged its development during these years. Apart from unpractical technological applications and failed ventures, bioethanol has been experiencing heavy competition from hydrocarbon fuels and adverse economic cycles. Currently, bioethanol is facing an uncertain scenario due to the combination of climbing crop prices and slow innovative production processes, including the cost-effective utilization of agriculture waste. Here, the impact of market conditions upon the competitive development of bioethanol is analyzed. It is argued that fluctuating fossil fuel prices over the last ten years has discouraged bioethanol’s technological viability. As a result, the consolidation of industrial biotechnology, especially for biorefineries, has slowed down. Policy implications of recurrent fluctuations in the bioethanol market are also discussed.Graphic abstract Supplementary InformationThe online version contains supplementary material available at 10.1007/s10098-021-02225-6.

Innovative approaches to enterprise competitiveness assessment

An important condition for the effective functioning of business entities of all forms of ownership in modern conditions of uncertainty and environment instability is the correct assessment of market conditions and opportunities in short- and long-term perspectives. The article aims to analyse modern methodological approaches to assess the competitiveness of enterprises to identify and justify possible aspects of their improvement considering the specifics of the functioning of domestic research objects. The research’s methodology based on domestic and foreign scientific works, leading experts’ opinions, statistical data, and public authorities’ analytical materials. The results were obtained by using expert methods – to investigate the impact of market factors and resource potential on light industry enterprises competitiveness; economic and mathematical methods – to calculate the integral indicator of the enterprise competitiveness; abstract-logic method – to theoretical generalization and formulation of conclusions. In determining the integral indicator of enterprise competitiveness, the method of taxonomic analysis was used with additional consideration of the specific weight of each factor influence on an integral indicator of enterprise competitiveness. In determining the specific impact of the indicators on the integrated indicator of the industrial enterprises’ competitiveness, the external experts’ views involved in the industry, their qualification competencies, and the level of fluctuations in the middle of the study group were considered. It was revealed that the existence of an enterprise could be considered objectively justified if it produces goods needed from the public point of view and uses resources within the qualitatively and quantitatively defined by society. Therefore, it was proposed to allocate eight levels of competitiveness, considering the technological and resource armament to grade the light industry enterprises'' competitiveness.

Analysis of Empirical Research on the Factors Influencing the Change of Income Inequality

Analysis of Empirical Research on the Factors Influencing the Change of Income Inequality

Market-driven or policy-directed quality certification?

Purpose of the paper : This study examines whether there is a balance between the impact of market factors and policy factors that accelerate certification, such that a divergence between the supply and demand of certified food is avoided. Methodology : A value co-creation framework and a discrete choice model are developed to analyze the acceleration of certification. The model is empirically investigated with quantitative data, collected from 231 Greek certified farm businesses. Findings : Five market and policy factors accelerate certification. Policy factors outperform market factors, but because the most crucial factor is control exertion by authorities, this is not expected to unbalance the development of the certified food subsector. The role of private standards in shifting from public to private food-sector governance is also confirmed. Research limitations : The model estimation is based on aggregated data in the sense that five quality schemes are included; thus, some information may have been overlooked. Implications : The theoretical framework can be used in future empirical analyses, especially when the certification decisions of small and medium-sized enterprises are examined. Public authorities should be cautious about altering the structure of incentives for farm businesses; certifiers should make certification more attractive to farm businesses; marketers should encourage farmers to accelerate certifications; and farm businesses and their organizations should focus on certification efficiency. Originality of the paper : The paper goes beyond issues considered in previous studies by focusing on the balance between market- and policy-related factors that accelerate certification, and developing a theoretical framework.

ДЕТЕРМІНАНТИ СПОЖИВЧОЇ ПОВЕДІНКИ: АНАЛІЗ ТРЕНДІВ І ВПЛИВ СЕЗОННОСТІ НА ФОРМУВАННЯ ПОПИТУ

The article is devoted to forecasting demand based on the study of consumer behavior and the factors that determine this behavior. Identifying trends and assessing the impact of seasonality on demand generation is the first challenge in describing typical consumer choice behavior. The consumption effect describes how Habitual buying behaviour is Identifying trends and the seasonality of demand. The solution to the current task was to a retrospective analysis of retail sales. Such issues how the assessment of seasonality, the identification of a general trend, the interdependence of sales of alternative fuels have been researched under this article. The trends noted to decrease in the volume of fuel consumption, differences in the structure of retail turnover, and the total demand for motor fuel should be viewed as behavioral changes in the end-users. While gasoline and gas are mainly sold through the filling stations, the share of diesel fuel sales through filling stations is less than a fifth of the total sales. Structural changes in the retail fuel implication are that the fuel market is being replaced by cheaper substitutes - gas. In this article, we consider that the analysis of seasonality is the initial stage of forecasting the dynamics of demand. Seasonality was estimated for each fuel and for the group of motor fuels as a whole, for retail sales and total fuel consumption. The results of the analysis showed that gasoline and gas sales are moderate seasonality. Diesel fuel is characterized by the greatest amplitude of seasonal fluctuations. The seasonal activity the consuming-industries of diesel fuel explains the dynamics of demand, which is typical for secondary demand goods. Studying seasonality to determine its effect on demand includes: applying a multiplicative seasonality model for analyzing time series of demand and building a model for time series components; calculation of seasonality indices based on the average annual consumption level for prepare data and forecasting dynamics; comparison of peaks of seasonality and the amplitude of non-seasonal demand fluctuations to assess the impact of market factors. The study did not confirm that the seasonality of fuel consumption determines the seasonality of prices; no correlation was found between price fluctuations and the seasonality factor.

Detecting the impact of market factors on sales takeoff times of analog cellular telephones

We use two approaches to model the hazard probability of the time-to-sales takeoff for cellular analog telephony to determine the impact of three market factors: price, number of competitors, and number of competing standards. We compare a fully parametric hazard model with discrete-time survival mixture analysis (DTSMA) in our study of data drawn from 70 countries from different economic sectors and geographic regions. Both approaches use control variables to capture observed heterogeneity. The possible relative advantage of DTSMA is its ability to recognize unobserved heterogeneity using latent classes. Failure to account for unobserved heterogeneity can cause underestimation of hazard probabilities; we investigate the change in inferences such an omission may cause. Applying DTSMA to this data set, we find that model parameters have appropriate signs and offer support for all three hypotheses: Relatively falling prices, relatively greater number of competitors, and relatively fewer competing standards are each associated with relatively higher hazard probabilities. In contrast, in the estimation of the fully parametric hazard model, we find that some parameters are wrongly signed, and only one hypothesis, the effect of competing standards, is supported.

City Center Housing in the UK: Prospects and Policy Challenges in a Changing Housing Market

From the late 1990s, the city centers of English provincial cities have experienced significant amounts of new private sector housing development, mainly in the form of high-density flats. This new housing development was seen as a key component of the Urban Renaissance in English cities. It led to a large increase in the population of the central areas of the cities involved and provoked significant debate concerning potential gentrification and exclusionary impacts. More recently, however, a new set of concerns about the prospects and sustainability of new housing in city centers has emerged. It is suggested that a significant proportion of housing transactions in these areas involve investors. This investment activity has created a new dynamic in the housing market, with supply and prices increasingly reflecting investment demand, including short-term speculative acquisition of property. As the housing market turned down in 2008, questions were being asked about both occupier demand and investor demand for city center housing and, in this context, about the longer term sustainability of the form and type of new housing that has been developed. These issues were brought into sharp focus following the collapse of the US sub-prime market and the subsequent financial economic crisis. This paper uses evidence from a case study, the city of Bristol, to examine the changing city center housing market during a period when the housing market went into recession in the wake of the global financial crisis. It reviews the debate on the impact of market factors, including investor involvement on the housing markets of English cities, and policy factors in shaping the form of new housing developed. It also discusses the lessons that emerge for local housing and planning strategies, in particular, the extent to which the mix and type of new housing needs to be better managed.

Disparities in Mortgage Lending, Bank Performance, Economic Influence, and Regulatory Oversight

This study investigates factors affecting changes in the disparity of home mortgage denial rates between white and minority loan applicants in the U.S. during the period 1991–1997. We develop a two-stage least-squares regression model that incorporates applicant-level characteristics, neighborhood characteristics, regional economic data, and bank-specific data as explanatory variables. Some have argued that mortgage lenders were under increasing pressure from industry regulators to extend additional credit to minorities and low-income groups during the period under study. The model includes each institution's periodic CRA rating as a proxy for regulatory influence. An alternative explanation is that market forces, such as improvements in economic conditions and in bank financial condition and performance, affected default loss estimates and credit standards in a way that disproportionally benefited minority and low-income applicants. The empirical findings are consistent with the latter hypothesis. We conclude that policy makers should consider the impact of market factors when assessing the allocation of mortgage credit in a particular demographic market. The findings also underscore the importance of controlling for lender assessments of credit risk when evaluating compliance with CRA and fair lending statutes.

ANALYSIS OF MARKET FACTORS INFLUENCE ON DAIRY PRODUCTION IN THE KARELIA REPUBLIC

Prevailing trends on regional food market and economic performance data of enterprise entities show up the need to determine the most pressing factors of further development of the dairy farming field in the Republic of Karelia. Due to reduction of regional dairy market capacity and rising competition, it is necessary to search for new solutions geared to improvement of efficiency of business activities. Assessment of the impact of market factors on the production level of dairy products in the region was carried out using multiple regression analysis. A correlation analysis was used to determine strength of relationship between indicators that hypothetically influence the development of the regional dairy product market. The milk production volume in the region has been found to have a direct linkage to consumption (r=0,82) and income level (r=-0,88), consumer price (r=-0,84), expenses for food (r=-0,86) as well as retail sales volume (r=-0,85). The quantity of imported dairy products reliably tied to consumption level (r=0,88). One of possible options for solution to the problem of milk production reduction in the region is a new approach in the implementation of state support to the economic sector – shifting the focus of financing from production to distribution promoting the growth of consumer demand for dairy products.