Factor Prices Research Articles

The Pricing of Liquidity Risk Factors

The Pricing of Liquidity Risk Factors

Intelligent Stock Price Fusion in Mobile Industries

In the tough cell phone business, guessing phone­ prices right is a key but hard job for new companies. Joining different types of info to look at stock prices may help, but we need strong ways to see how phone things and their costs tie together. This study wants to make stock price checking better in the cell phone busine­ss by using ways to join info. The work looks for strong ties between many phone things like memory, camera details, and screen size and how they affect the price. To fix this, very careful work was done to clean and fix the info. The Quadratic Discriminant Analysis rule­ was then used, along with top classifiers, for saying what will happen. Our findings demonstrate the QDA model's ability to detect subtle patterns and nonlinear correlations in the mobile phone data set. The model's resilience and predictive ability are demonstrated through visualizations such as ROC AUC and Precision-Recall curves. Comparative analyses with current approaches highlight the higher performance of the suggested data fusion approach. The use of QDA in data fusion models demonstrates its versatility in capturing complicated interactions, resulting in nuanced insights into mobile phone price factors. This study adds an improved prediction framework for mobile phone price analysis, which is critical for new enterprises looking to gain a competitive advantage in the volatile mobile industry.

Study on the Equivalent Conversion and Utilisation Model of Solar Energy and its Benefits

Relying on the energy local area network (LAN), we study the equivalent conversion relationship between different “energy qualities” in the process of solar energy conversion and utilisation and its benefit model. Considering the impact of load demand characteristics and current energy consumption price factors on solar energy utilization, a multi-objective optimization model of solar energy conversion and utilization is constructed with the goals of maximizing solar energy utilization and maximizing the comprehensive benefits of system operation; then, the particle swarm optimization algorithm with quantum behaviour is used to optimize and solve the model, and a comparative analysis is carried out with the traditional single-energy supply mode. The results show that the proposed model can effectively improve the comprehensive utilisation and consumption of solar energy by the energy consumption system, and achieve higher energy sales benefits. Therefore, with the help of energy storage technology, the fluctuation and intermittency of the solar PV system output can be suppressed, and flexible grid connection can be realised, so as to enhance the grid-connected capacity of solar energy; at the same time, higher economic benefits can be obtained with the help of optimisation, coordination and control system operation. Optimised control of solar PV power generation systems under different scenarios ensures the safety and stability of the system’s power output and improves the grid-connected capability of solar PV power generation systems. The validity and feasibility of the proposed model and its operation mode are verified, providing a new idea for the development and utilisation of large-scale solar energy.

Factors That Decide Tourists To Stay at The Puri Bagus Candidasa Hotel, Karangasem Bali

This research aims to find out the right strategy based on an analysis of the dominant factors that determinetourists staying at the Puri Bagus Candidasa hotel. The problem of this research is to determine the factors thatdetermine tourists to stay at the Puri Bagus Candidasa hotel and to analyze the dominant factors determiningtourists' decisions to stay at the Puri Bagus Candidasa hotel. The sample was selected as many as 110respondents using purposive sampling technique. Data processing was carried out with SPSS software version23.0 for Windows. The principal component analysis (PCA) method produces four factors that determinetourists' decisions to stay at the Puri Bagus Candidasa Hotel, Karangasem Bali. These four factors areadvantages factors which consist of product factors, place factors, price factors and physical evidence factors.The second factor is the added value factor which consists of cultural factors, people factors and promotionfactors. The third factor is supporting factors which consist of social factors and process factors. The fourthfactor is personal factors and psychological factors. The dominant factor that determines tourists to stay at thePuri Bagus Candidasa hotel is the advantages factor with an eigenvalue of 2.235 and a variance percentagevalue of 20.316%. Companies are expected to continue to maintain product quality, comfort and safety at hotellocations as well as maintain the physical quality of the building. From the results of factor rotation, it wasfound that personal factors are the factors that have the lowest eigenvalue, where one of the indicators is thetourist's lifestyle, economy and psychology. This can trigger them to recommend the hotel to their relativeswho have the same lifestyle and economic situation. From the results of the analysis of respondentcharacteristics, it was found that the tourists who stayed overnight predominantly came from Germany, so itwas necessary to improve services for German tourists, for example by training staff to learn German.Keywords: Factor Analysis, Hotels, Tourist Decision

Faktor-Faktor Penentu Minat Beli Remaja Masjid Terhadap Produk Korea: Studi Empiris Pada Mie Samyang dengan Memperhatikan Label Halal, Harga, Dan Citra Merek

This research aims to identify the determinants of purchase intent among mosque youth for Korean products, specifically focusing on Samyang Instant Noodles, considering the factors of Halal Label, Price, and Brand Image. The research sample comprises 150 respondents of mosque youth in Boyolali, selected using non-probability sampling. Mosque youth are considered a group that integrates religious aspects with contemporary trends and digital literacy. The research employs a quantitative method with a questionnaire as the data collection instrument. The collected data are analyzed using the statistical SPSS version 22. The findings reveal that the Halal Label has a positive and significant impact on the purchase intent of mosque youth. Conversely, Price negatively influences purchase intent, while Brand Image does not have a positive or significant effect on purchase intent. Simultaneously, the Halal Label, Price, and Brand Image collectively exert a positive and significant influence on the purchase intent of mosque youth towards Samyang Instant Noodles. These results offer insights for industry stakeholders to understand the preferences and factors influencing the purchase intent of mosque youth for Korean food products.

Моделирование работы технологической цепи с вертикальными и горизонтальными взаимосвязями участников и учетом спроса

The subject of the article is the study of production structures consisting of a set of independent firms (enterprises interacting with each other through the supply of products through horizontal and vertical links in a single production and technological chain. It is assumed that firms at different levels of the chain not only supply components up, but also sell them on the market, organizing interaction with wholesale buyers. The mechanism of interaction takes into account economic interests, the demand for the company’s products in the market and reflects the situation of equilibrium. The scientific novelty of the study is the deepening of the methodological basis for describing the interaction of participants in the technological chain using matrix modeling based on the principles of constructing matrices of intersectoral balance. Such characteristics of firms and the system as a whole as: final product, gross product, resource volumes are considered. On the basis of the obtained final formulas, the dependences of the economic characteristics of the activity of firms and the system as a whole on the decrease (increase) in prices for resources, on changes in demand are established. The proposed approach to determining the final product of the system seems to be quite reasonable: firstly, the output volumes of the system are linked through the interaction of the manufacturer and seller, taking into account market demand, and, secondly, the volume of sales reflects the economic interests of the parties. The ratio “the price of products on the market – the volume of supply” becomes justified on the part of the demand function (the end consumer), the seller and the manufacturer of products. Such an optimization approach to determining the results of interaction promptly takes into account changes in the market environment and adjusts the performance indicators of participants in the direction of their consistency, which makes it possible to increase the stability of the system. It is established that when the market situation worsens as a result of rising prices for factors of production or a reduction in effective demand, there is a percentage decrease in final output in value terms, but the rate of its reduction is lower. The case of a decrease in demand has a more negative impact on the economy of the firm and the entire system. Thus, the growth rates of the economy and the well-being of the population are determined by the efficiency of complex hierarchical structures with horizontal and vertical relationships.

Factors Affecting Online Shopping in Birendranagar, Surkhet

Online shopping is a rapidly growing phenomenon these days. There is no doubt that the business environment is rapidly changing today, with the involvement of media and communication technologies changing the way of interaction and persuading consumers to buy their products or change their customer choices. The study's main goal is to identify the factors influencing online shopping in Birendranagar, Surkhet. Descriptive research and casual comparative are used. The study's target population is all Birendranagar Surkhet consumers who bought their products online. To collect a sample, the convenience method is used. A structural questionnaire is used to collect responses for the survey. Ease and price factors significantly impact the purchasing behavior of all Birendranagar and Surkhet consumers who used to go far online.

마르코프 국면전환모형을 이용한 국제곡물 가격 예측

The purpose of this study is to analyze the volatility structure and fluctuation factors of international grain prices and forecast future price. The price dynamics are divided into normal and crisis periods according to the price fluctuations of the grain market and analyzed by applying the Markov Regime Switch Model, which can be estimated and predicted. The analyzed data comprises international grain prices and the corresponding determinants that explains them. The analysis period spans from January 2006 to June 2021. The empirical findings are summarized as follows: First of all, as a result of estimating the phase shift model considering the Markov process, it is found that it is more appropriate to estimate price volatility in the grain market by dividing the model into two phases - normal and crisis - than OLS which assumes a single phase. This implies that the presence of various phases holds significance in accordance with the price fluctuations observed in the grain market. Furthermore, it is cautiously expected that the phase-change model may prove to be an effective tool for predicting international grain prices in the future, showing superior predictability compared to other models in the evaluation of predictive performance using RMSE.

Factors Influencing Decision Making to Revisit Japan of the Thai Bangkokian Millennial Tourists during Public Holidays

Even though Japan encounters several tourism issues including an epidemic like COVID-19, Japan is still among the pioneering countries when it comes to opening its doors to tourists. Currently, Japan tour packages are drawing high attention from Bangkokian millennials who prefer to travel during Thai public holidays due to diverse reasons. Hence, this study focused on identifying tourism marketing mix factors that influence Thai Bangkokian millennial tourists during Thai public holidays. Two hypotheses were set up. A verified questionnaire was used to collect the data from targeted 400 samples, then the data were analyzed into percentage, mean, and standard deviation. Also, Exploratory Factor Analysis (EFA) and regression analysis were used to test hypotheses and identify relationships and influences between variables. The results indicated that, in terms of demographic characteristics, gender, age, status, occupation, and income influence Thai millennial tourists to revisit Japan. Meanwhile, according to 12 tourism marketing factors, product and service quality factor, price factor, promotion factor, process factor, political factor, performance management factor, and presentation and public relations factor significantly affect the decision to revisit Japan of Thai millennial tourists in the Bangkok during public holidays.

Palm Oil Exports Increased Due To Rupiah Depreciation, International Price Factors And Government Regulations

Palm oil is a very important export commodity for Indonesia, contributing significantly to the country's economy in terms of both production and export. Fluctuations in the rupiah exchange rate against foreign currencies, especially the US dollar, have been widely studied, which turned out to affect the export of various commodities, including palm oil. However, the linkages to international prices and government regulation have not been studied much. This study aims to examine how much influence international prices, rupiah depreciation, and Indonesian government regulations have on increasing palm oil exports to India. Data collection method through surveys and circulating questionnaires, with a sample of 100 respondents. The analysis method used is multiple linear regression analysis using SPSS. The results of the study obtained based on the partial test (t test) obtained a positive and significant influence between international prices on increasing exports. There is a positive and significant influence between rupiah depreciation and increased exports. There is a positive and significant influence of Indonesian government regulations on increasing exports. The contribution of the percentage contribution of the independent variable of international prices, rupiah depreciation, and Indonesian government regulations to the dependent variable of increasing exports is 0.811 or 81.1%. While the remaining 0.189 or 18.9% was influenced by other variables outside this study.

Study on the Spatial Correlation Characteristics of Residential Land Prices in Counties of the Urban Agglomeration in the Middle Reaches of the Yangtze River and Their Influencing Factors

The role of residential land price in regulating local economic development and optimizing urban land spatial layout is becoming more and more prominent. This paper takes the residential land price of 229 counties (districts, cities) of urban agglomeration in the middle reaches of the Yangtze River in 2017 as the research object, and establishes a theoretical model of the influencing factors of county residential land price based on equilibrium price and regional economic theory; and uses methods of spatial autocorrelation analysis and spatial lag model to explore the spatial distribution characteristics and influencing factors of residential land price in the research area and the influencing factors. The research results indicate that: (1) There are significant overall differences in residential land price among different counties within the urban agglomeration in the middle reaches of the Yangtze River, and the overall distribution of residential land price shows a "pyramid" pattern from low to high. (2) The spatial distribution pattern of residential land price in counties within urban agglomerations is greatly influenced by the location conditions and the administrative level of higher-level cities. The residential land price shows an inverted "U" distribution in the east-west direction, with the eastern part being higher than the western part as a whole; There is a gradual downward trend from north to south in the north-south direction. (3) The Global Moran’s I of residential land prices in the research area is 0. 603, with a significant spatial positive correlation and agglomeration phenomenon. and the obvious local spatial agglomeration characteristics. (4) There is a significant positive spillover effect between county-level residential land price in the urban agglomeration of the middle reaches of the Yangtze River. The residential land price in the study area is strongly influenced by both land supply and demand factors, policy systems, and government regulatory capabilities. The relevant conclusions can provide reference for urban agglomeration to optimize urban resource allocation through land price regulation, narrow regional development gaps, and promote the integrated development of the region.

Determinants of Asymmetric Costs In Soya Production

Purpose: The study aimed to analyze the determinants of the asymmetric behavior of fixed costs in soybean production. Theoretical background: Although previous research indicates the presence of asymmetric costs (sticky costs theory) in the agricultural sector and, specifically, in soybean production, there is still a gap in testing which determinants explain this asymmetric condition. Methodology: The study used a quantitative methodology, with the estimation of a multiple linear regression model and parametric correlation tests, using data on costs, production capacity, production quantity and soybean prices for the period from 2009 to 2022. Results and conclusion: The results showed that the capacity and price factors were statistically significant in explaining the asymmetry of fixed costs. Price was also significant in explaining total and variable costs, which were also shown to be asymmetrical by the models used. Research implications: The study advances in verifying the determining factors of asymmetry and not just in pointing out the behavior of costs in this sector, as previous literature has done. Originality/value: The approach of the work and its results contribute to expanding empirical research related to the assumptions of the sticky costs theory in a relevant economic activity.

The Necessity and Feasibility of Usage-Based Insurance for New Energy Vehicles in China

Aims: With the continuous development and growth of China's new energy automobile market, new automobile owners desire exclusive auto insurance. However, most insurance companies use traditional automobile commercial auto insurance to cover them. Under this pricing model, there is little overall difference in premiums, regardless of whether the driver's driving behavior is good or not. This paper wants to implement usage-based insurance (UBI) in China because it can add more auxiliary pricing factors, adjust according to the driver's driving behavior changes, and make auto insurance pricing more scientific and fair.
 Study Design: This paper employs the literature review and market research methods to analyze the current product supply and consumer demand in the Chinese auto insurance market. Firstly, introduce the current situation of the development of the new energy automobile insurance market in China and its problems. Then, discuss the necessity and feasibility of developing UBI auto insurance for new energy vehicles in China. Finally, based on the reality of China's new energy vehicle UBI auto insurance gives some programs.
 Conclusion: This paper finds that from the perspective of insurance companies, consumers, and the social level, UBI auto insurance for new energy automobiles is necessary, and it is also the direction of future auto insurance reform and development. Subsequently, combined with China's current relevant policies and technologies, it is concluded that the development of UBI auto insurance for new energy vehicles in China is feasible.

Research on Influencing Factors of the Real Estate Market in Beijing

As a large-scale real estate industry, the real estate industry plays an important role in regulating the world economy. As a pillar industry in my countrys development, it plays an important role in promoting my country's GDP growth. Consumption and investment demand for real estate also have a significant impact on overall consumer demand. Many scholars at home and abroad have conducted relevant research on real estate demand factors. This article uses annual data from the China Bureau of Statistics and Beijing, selects Beijings GDP, per capita disposable income of all residents, etc. as explanatory variables, and uses the commercial housing sales area sarea as the explained variable. A multiple regression model was established to analyze the influencing factors of Beijing's real estate market demand. The results show that policy, income, population and housing price factors have a significant impact on demand. Among them, GDP, population change, and policy dummy variable factors have a positive impact, while housing prices and per capita income have a negative impact. Based on the conclusion, this article puts forward suggestions for narrowing the income gap, further curbing real estate speculation, maintaining a balance between supply and demand, paying attention to policy regulation, and using precise and powerful policies to regulate the entire industry, which has served as a reference for the development of the real estate industry.

Pengaruh Kualitas Produk Dan Harga Terhadap Keputusan Pembelian Produk Kosmetik

This research aims to analyze product quality factors and also price factors that have an influence on cosmetic product purchasing decisions for Shopee application users in Kabupaten Bandung Barat. This research was conducted using quantitative methods through a descriptive approach and asosiative. Questionnaire using Google Form as a data collection method for 100 respondents. The unit of observation in this research in shopee aplication user in West Java Regency. The sampling method in this research uses non-probability sampling .This research uses multiple linear regression analysis as a data analysis technique and has been tested for the validation and reliability of the instruments used in the research. Then the data was processed and analyzed using the IBM SPSS Statistics 22 software application. This research resulted is finding that partially product quality factors have an influence on purchasing decisions for cosmetic products among Shoppe application users in West Bandung Regency. Partially, the price factor also influences the decision to purchase cosmetic products among Shoppe application users in West Bandung Regency. Simultaneously, product quality and price have a significant influence on purchasing decisions for cosmetic products among Shoppe application users in West Bandung Regency

KAJIAN PERSEPSI KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN PERUMAHAN DI KOTA KENDARI

In the context of the property market, consumer perceptions can be influenced by factors such as location, price, facilities, design and housing brand. Therefore, understanding consumer perceptions can help developers design housing products that suit consumer needs and desires, thereby increasing consumer interest in purchasing housing products. This research seeks to determine consumer perceptions of housing purchasing decisions in Kendari City. This research uses descriptive quantitative research methods. The research results show that the calculated F value is 28.695> the F table value is 2.463 and the sig value. namely 0.0000<0.05, then Ho is rejected and Ha is accepted, meaning that the variables of location, price, product quality and promotion influence consumer decisions. The calculated t value of the price variable influences consumer decisions in purchasing housing in Kendari City. The influence of price on housing purchasing decisions shows that the price factor has a significant role in the consumer decision-making process. The location, product quality, and promotion variables have no effect on consumer decisions when purchasing housing in Kendari City.

Biomimetic Hydrogel Containing Copper Sulfide Nanoparticles and Deferoxamine for Photothermal Therapy of Infected Diabetic Wounds.

Inducing cell migration from the edges to the center of a wound, promoting angiogenesis, and controlling bacterial infection are very important for diabetic wound healing. Incorporating growth factors and antibiotics into hydrogels for wound dressing is considered a potential strategy to meet these requirements. However, some present drawbacks greatly slow down their development toward application, such as the short half-life and high price of growth factors, low antibiotic efficiency against drug-resistant bacteria, insufficient ability of hydrogels to promote cell migration, etc. Deferoxamine (DFO) can upregulate the expression of HIF-1α, thus stimulating the secretion of angiogenesis-related endogenous growth factors. Copper sulfide (CuS) nanoparticles possess excellent antibacterial performance combined with photothermal therapy (PTT). Herein, DFO and CuS nanoparticles are incorporated into a biomimetic hydrogel, which mimics the structure and function of the extracellular matrix (ECM), abbreviated as DFO/CuS-ECMgel. This biomimetic hydrogel is expected to be able to promote cell adhesion and migration, be degraded by cell-secreted matrix metalloproteinases (MMPs), and then release DFO and CuS nanoparticles at the wound site to exert their therapeutic effects. As a result, the three crucial requirements for diabetic wound healing, "beneficial for cell adhesion and migration, promoting angiogenesis, effectively killing drug-resistant bacteria," can be achieved simultaneously.

Russian Agricultural Exports: Economic and Statistical Analysis

The article presents the results of an economic and statistical analysis of Russian agricultural exports from 2012 to 2021 – a period of intensive growth during which revenue in foreign markets doubled, and the country entered the top twenty leaders in food exports. The in- fluence of the factors of physical volume and price on the dynamics of exports of products from the agricultural sector of Russia is analyzed, and a change in the assessment of the contribution of individual product categories to export growth was revealed when recalculating indica- tors from current prices to comparable prices. It has been established that average prices for Russian agricultural products are half the world pri-ces, which leads to a lack of income from the export of agricultural products for Russia (on average, about 4.9 billion US dollars per year for the last five years). The main reason for this deviation is that a significant share of the structure of Russian food exports is made up of products with a low degree of processing. Additionally, there is a situation with lower prices for some Russian goods of a comparable range, primarily in the food and processing industries.An assessment of the risks to the sustainability of Russian agribusiness in the event of a disruption in export supplies showed that, given the low level of development of intra-industry trade, domestic production remains quite vulnerable to a potential reduction in exports when foreign trade restrictions are introduced. If trade chains are broken, only 20% of exports can be redirected to the domestic market to replace imports.An analysis of the achievement of targets for the development of Russian agricultural exports in 2016–2021 was carried out and indicates that, despite its significant overall growth during the period under study, in some years its dynamics lagged behind the values established in state programs, even considering their repeated adjustments. This is largely due to the dependence of the growth of Russian exports of agricultural products on the increase in the production of grain and oilseeds, which is influenced, among other things, by random weather factors. Thus, based on data for individual years, it is impossible to judge the success or failure in the implementation of Russian agricultural export devel- opment programs, and the methodology for assessing the achievement of target indicators itself requires improvement.

Brand Preference of Smartphone

The research aims at finding out the factors that majorly influence the buying decision of a customer when choosing a Smartphone. This research used quantitative method. In this study populations for this people residing inside Kathmandu valley who were using mobile phones. The sample size of 270 respondents who were job holders and using mobile phones were surveyed based on one of the non-probability sampling techniques, the convenience sampling method. This research used independent variables, advertisement, brand image, brand loyalties, price satisfaction and attributes. In addition, variables Price has positive and significant effect on brand preferences but remaining variables, advertisement, brand image, brand loyalties positive but not significant effect. Finally, Prices Factors one of dominant variables that makes people thinks to choose the smartphones in Kathmandu City.

Analysis Business Model Of SMEs Craft Industry In The North Sumatra Province

The aim of this research is to determine and analyze the SWOT formulation of the shell industry business in Provinsi Sumatera Utara. The data processing and analysis methods used were factor tests and discriminant analysis using the Cochran and Kaiser Meyer Olkin Measure of Sampling (KMO) tests. It is hoped that the results of this research can strengthen the results of previous year's research by exploring potential marketing strategies and comparisons of each industry. The formulation of a blue ocean strategy that can be recommended to Provinsi Sumatera Utara Small and Medium Industries (HCI), includes: (1) Through the six paths framework, there are four alternatives that can be used by Provinsi Sumatera Utara SMEs to reconstruct its market boundaries, including looking at alternative industries, strategic groups, complementary product and service offerings, and emotional-functional appeal for buyers. (2) Formulation of a four-step framework by enhancing hospitality and decorum; as well as creating hall or auditorium packages for exhibitions as well as product packages, supporting facilities, promotions via social networks, light visualization concepts, and rental of stands to provide appetizers. (3) Strategy formulation has three good characteristics, namely focusing on service and improving product marketing, divergent with the creation of new factors that can make Provinsi Sumatera Utara SMEs stay away from competition. Formulation Model The competitive strategy for the Shellfish industry is formulated using the SWOT Strategy, namely (1) The appropriate SWOT strategy for Shellfish SMEs in developing their business and facing competition between businesses (commercial studies) is another market penetration strategy that emerges from the QSPM matrix. (2) The factor that is the advantage of the Shell Shell HCI which can be used to increase competitiveness in facing competition between used tire businesses is the cheaper price factor. (3) There are 9 key strategic factors that influence competition between HCI Shellfish and its competitors, these strategic factors are finance, price, operational techniques, operational costs, facilities and infrastructure, promotion and advertising, transportation facilities, service quality, completeness of business operational equipment.