Market Value Of Goods Research Articles

You are what you wear: the effect of religiosity, self-esteem and materialism toward conspicuous consumption of luxury fashion products among Gen Z

PurposeThe market value of luxury goods at the global and national levels continues to increase from year to year. The sales growth of the Indonesian luxury goods market is currently at 6.6% per year. The largest sales sector in the market is the fashion sector, with more than US$700m per year. Several big cities in Asia, including Jakarta, experienced a shift in the age group of luxury goods buyers to a younger group with limited income resources. The behavior of purchasing luxury goods in the low-income group is contrary to Islamic values, which prioritize the fulfillment of needs rather than the fulfillment of desires. This study aims to analyze the factors that influence the intention of Muslim Generation Z consumers to buy luxury fashion products.Design/methodology/approachThe purposive sampling method in this study involved 240 respondents who had bought luxury fashion products in the masstige category in the past two years. This study adopts the Theory of Reasoned Action (TRA) model and a quantitative approach through the structural equation modeling method.FindingsThe results of this study indicate that attitude towards behavior, subjective norms, self-esteem and materialism have a significant positive effect on the intention to consume luxury fashion, while the influence of religiosity was found to be insignificant. At the same time, religiosity has a significant negative effect on attitude towards behavior and subjective norms.Research limitations/implicationsThese findings indicate that if consumers who have a positive attitude toward luxury fashion purchases, can be influenced by their significant others, self-esteem and materialistic nature, then they tend to buy luxury fashion items.Originality/valueThis study extends the theory of TRA by adding religiosity, self-esteem and materialism and it uses Muslim Generation Z as the respondent. Masstige category of luxury brands is also used to take into account the affordability of its generation toward luxury fashion products.

Таможенная стоимость: содержание и методы определения

The article considers the basic and profile components of the customs value, namely: 1) the market value of goods expressed in the price paid when they were purchased on the domestic (national) market of a foreign state for export to the Eurasian customs territory and 2) the market value of services of transport and insurance companies expressed in prices for the delivery of goods: a) to the customs border of the exporting state (customs value of exported goods) and b) to the place of movement across the Eurasian customs border (customs value of imported goods). The article details the general paradigm of methods for determining customs value, including the need to introduce the concept of ‘reproductive method’ of customs valuation into professional circulation, which assumes a utilitarian and flexible reproduction of productive (typical or ordinary) methods for determining customs value: the market (main) method (at the price of a transaction with imported goods) comparative methods (at the transaction price with identical goods and at the transaction price with similar goods) cost methods (cost subtraction method and cost addition method).

Property crime and the China trade shock

ABSTRACT Burglary has declined markedly in the U.S.A. We investigate whether increased imports from China (the China Trade Shock), by reducing the market value of theft-worthy goods, reduced the incentive to commit this and other property crimes. Panel data models reveal lower property crime rates in association with increased Chinese imports and comparable effects in relation to other prominent trade partners, indicating minimal property crime displacement effects. Some import effects do link to increased violent crime rates, but none in relation to imports from China. The results illustrate how expanded trade provides social benefits in addition to its well-established economic benefits.

Fair division of goods in the shadow of market values

Inheritances, divorces or liquidations of companies require common assets to be divided among the entitled parties. Legal methods usually consider the market value of goods, while fair division theory takes into account the parties’ preferences expressed as utilities. I combine the two practices to define a procedure that optimally allocates divisible goods with market values to people with easily elicited preferences. Imposing an exact equality onn the bundles’ monetary values may produce unacceptable solutions. I drop the tight requirement and suggest a procedure in which the differences in the monetary values are explained in terms of satisfaction per monetary share as perceived by the agents. A robustness study shows the consequences of misspecification in the model parameters.

SOME ASPECTS OF COMMERCIAL EXAMINATION OF LEATHER BAGS

The current state of the commodity market of leather haberdashery is characterized by the predominance of both imported and domestic low-quality products. The lack of proper market supervision and quality control of products that are sold in retail chains and in manufactured goods markets leads to the spread of counterfeit products. Therefore, it is relevant to develop and implement in the practice of commodity experts such methods that can be effectively used to identify haberdashery goods made of leather in order to prevent counterfeit products from entering the market. The article substantiates the expediency of conducting a comprehensive merchandising examination of leather bags based on the definition of identification criteria. It is noted that the use of modern synthetic materials imitating leather, and composite polymer materials in technologies for haberdashery goods leads to a change in the range of goods, and product groups, which requires the improvement of expert methods of assessing the quality and market value of goods. The shortcomings of the normative documentation regulating the terminology, production, nomenclature of quality indicators, quality requirements for materials, and haberdashery made of leather are formulated, it is noted that the standards are obsolete, are not revised taking into account the emergence of new materials, technologies, changes in the range of goods. The criteria for identifying leather bags are substantiated: the pattern of the derma (surface of the dermis after dressing the skin), the symmetry of the details, the state of processing of accessories and seams, and the characteristics of the lining material, the state of marking and packaging. Methods for evaluating the quality indicators of goods are systematized, namely, organoleptic, measuring, chemical, and microbiological. The following algorithm of actions is proposed when conducting a merchandising examination of leather bags: analysis of regulatory and commodity-accompanying documentation; identification and assessment of conformity, taking into account the selected identification criteria and assessment methods; identification of defects; determination of the naturalness of the skin by methods of chemical, microbiological analysis; assessment of combustibility and heat transfer of material by express methods; analysis of identification results and formation of an expert conclusion. The developed comprehensive methodology of commodity expertise can be used to establish the facts of falsification of leather goods, in the practice of forensic experts in order to determine the market value of goods. Key words: commodity examination, leather bags, haberdashery, identification criteria, defects.

Abstract 5: Establishment of ASCP Equipment Donation Program to Support International Histopathology Laboratories

Abstract Purpose: In order to address the unmet needs of international histopathology laboratories with regard to procurement of laboratory equipment and consumables, the ASCP Center for Global Health has established a program which facilitates donation of these goods to laboratories in need. Methods: Using a member-based outreach approach, donors with key histopathology laboratory equipment or consumables submit an interest in donation to ASCP. ASCP performs an assessment of the quality and longevity of the donated item. ASCP pairs the donation with a laboratory within the Partners for Cancer Diagnosis and Treatment Initiative network which has expressed need. Recipient lab-specific parameters are further evaluated (e.g. space, voltage compatibility, need for service contract, etc.). Should the donation be a compatible fit, ASCP works with both recipient and international shippers to facilitate the donation. Results: Since August 2018, ASCP has supported nearly 20 international equipment donations (fair market value of goods totaling approximately $120K) to 12 countries. These donations are composed of routine histopathology lab consumables (e.g. tissue cassettes, glass slides, etc.) as well as specialized equipment (e.g. whole slide imaging scanners, microtomes, microscopes, etc.), basic laboratory operations equipment (e.g. computers, keyboards, etc), and educational materials (e.g. textbooks, etc.). Conclusions: This donation program allows for redistribution of key histopathology lab equipment and consumables to laboratories in needs. The impact of this program has been far-reaching, both relieving laboratory strain associated with under-procurement often experienced in international laboratories to expanding capacitation of diagnostic testing services including, in some cases, telepathology-based secondary consultations from subspecialty pathologists unavailable in-country. Citation Format: Debby Basu, Lola Tashpulatova, Dan Milner, Kenneth Landgraf. Establishment of ASCP Equipment Donation Program to Support International Histopathology Laboratories [abstract]. In: Proceedings of the 9th Annual Symposium on Global Cancer Research; Global Cancer Research and Control: Looking Back and Charting a Path Forward; 2021 Mar 10-11. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2021;30(7 Suppl):Abstract nr 5.

Classical and Deep Learning Time Series Prediction Techniques in the Case of Indonesian Economic Growth

Gross Domestic Growth (GDP) as a proxy of an economic growth in one country is defined as the market value of services and goods produced by the country for a year. As the GDP of one country gets higher and higher through the years, this indicator points out that in general the economic growth of the country is growing; specifically, the values of services and goods accumulated in the market are increasing. To determine what indicators of a country that affects one’s economic growth remains an open question. Therefore, this research attempts to study those indicators and particularly utilize them to predict the economic growth. To answer those questions, this research employs diverse time series techniques ranging from classic time series analysis to machine learning and deep learning. Subsequently, our dataset comprises World Development Indicators (WDI) of Indonesia from 1962 to 2016. By measuring Root-Mean-Square Error (RMSE), we show Seasonal Autoregressive Integrated Average (SARIMA) and Convolutional LSTM give the the best performance from classical and deep learning techniques respectively. Our analysis shows SARIMA’s performance is boosted by its ability to capture trend and seasonality of the dataset; equally important, Convolutional LSTM equipped with convolutions as part of reading input into LSTM units significantly boost the performance over either Convolutional or LSTM networks. Furthermore, our analysis points out that the indicator which most strongly contribute to predict GDP is CO₂ emission. This result agrees to the fact that some countries with high CO₂ emission also has high GDP as well; also this finding should warn Indonesian government of the increasing CO₂ pollution.

ANALYSIS OF PRICE PROPOSALS FOR THE NEW GOODS

In this article, the issue of setting the market value of the new goods is examined. Inclusion of price proposals for all new goods to the analysis of price proposals results in setting a wrong market value. The new goods category includes many of the goods, which significantly differ by their prices and groundlessly influence on the market value. In fact, these goods are not new but they may be taken by mistake in the analysis of the price proposals. When carrying out a forensic merchandising examination with a new product, you should carefully check the product, at a price significantly lower. If it is established that it belongs to the refurbished goods, it is impractical to include it for comparison. Based on the above analysis, we can conclude that in order to establish objectively the market value of new goods, it is necessary to take price proposals for the first and second groups of goods, which were determined at the beginning. Goods belonging to the third group should not be included in the analysis, as this may affect the correctness of the market value determination.

Mathematical Approach for Predicting the Gross Domestic Product of Malaysia

Gross domestic product (GDP) is a monetary measure of the market value of overall final goods and services produced in a given year, and serves as a gauge of the economy’s overall health and size. The GDP prediction is significant, as it can capture and understand the future developments of a country’s economy. In this paper, three different mathematical models have been used to predict Malaysia’s gross domestic product using regressions. The models discussed in this paper are linear, exponential and parabolic regressions. In developing the models, data from year 1970 to 2014 has been employed and data from year 2015 to 2019 has been used to examine the models' accuracy. The models are then observed to identify the most appropriate to express the relationship between the years and Malaysia’s gross domestic product. In this study, it is found that the parabolic regression model is more accurate compared to the linear and exponential regression models. The parabolic regression model is also the most appropriate since it is adjusted to the real conditions of Malaysia's gross domestic product which is the main subject of this paper. Finally, it is obtained that the prediction values of GDP in Malaysia will increase for the next ten years (2020 - 2029).
 
 Keywords: Gross domestic product, Linear regression, Exponential regression, Parabolic regression

Community engagement and mobilisation of local resources to support integrated Community Case Management of childhood illnesses in Niger State, Nigeria.

BackgroundDespite strong evidence of integrated community case management (iCCM) of childhood illnesses being a proven intervention for reducing childhood morbidity and mortality, sustainability remains a challenge in most settings. Community ownership and contribution are important factors in sustainability. The purpose of this study was to document the process and scale achieved for community engagement and mobilisation to foster ownership, service uptake and sustainability of iCCM activities.MethodsA review of data collected by the RAcE project was conducted to describe the scale and achievement of leveraging community resources to support the community-oriented resource persons (CORPs). The Rapid Access Expansion (RAcE)-supported iCCM programme in Niger state (2014-2017), aimed at improving coverage of case management services for malaria, pneumonia, and diarrhoea, among children aged 2–59 months. Resources donated were documented and costed based on the market value of goods and services at the time of donation. These monetary valuations were validated at community dialogue meetings. Descriptive statistics were used to summarise quantitative variables. The mean of the number of CORPs in active service and the percentages of the mobilised resources received by CORPs were calculated.ResultsThe community engagement activities included 143 engagement and advocacy visits, and meetings, 300 community dialogues, reactivation of 60 ward development committees, and 3000 radio messages in support of iCCM. 79.5% of 1659 trained CORPs were still in active iCCM service at the end of the project. We estimated the costs of all support provided by the community to CORPs in cash and kind as US$ 123 062. Types of support included cash; building materials; farming support; fuel for motorcycles, and transport fares.ConclusionsThe achievements of community engagement, mobilisation, and the resources leveraged, demonstrated acceptability of the project to the beneficiaries and their willingness to contribute to uninterrupted service provision by CORPs.

Bangladesh economy and its future prospectus

Purpose of the case study is to understand current economy scenario of Bangladesh. What all sectors contribute in growth of its economy? How we can define growth of economy? As Bangladesh was formed in 1971 and since then its very less time for an economy to grow from stretch. However, through GDP as a parameter through which I tried analyzed the current economic situation of this country. It is country situated in South Asia. Bangladesh formed in 1971 after Bangladesh Liberation War. Its market based is 42nd largest in the world. Its economy is second fastest growing with 7.1%. Its economy is largely driven by garments, remittance and agriculture. Other sectors which contributed to country’s GDP are; textile, seafood, leather goods and shipbuilding. It also helps Indian, Nepal and Bhutan with its seaports. GDP is monetary measure of the market value of final goods and services produced in a year. Nominal GDP is calculated to determine the economic performance of a country for international comparisons.

Assessing the economic value of vernacular architecture of mountain regions using contingent valuation

Human pressure on mountain resources poses certain threats to their natural and man-made environment. Although there are many parameters involved, one of the driving forces behind this situation is the emphasis given so far only to the market value of mountain goods and services, ignoring the true social and environmental costs of using mountain resources. Towards this direction, the use of non-market valuation techniques could prove to be beneficial. Bearing in mind the above remarks, the paper presents an application of the Contingent Valuation Method, which aims at estimating the monetary value of a mountain settlement's vernacular architecture, namely Metsovo. For this purpose, the survey focuses on Metsovo visitors' willingness to pay a single annual voluntary contribution to an institution that would be founded in order to undertake all necessary actions required to preserve the town's traditional character. The results are very promising and indicate that vernacular architecture holds a significant economic value that could justify the implementation of appropriate policies towards the protection of vernacular settlements in mountain areas.

Recent Revisions of GNP

Gross national product (GNP) is the market value of goods and services produced by labor and property supplied by residents of a country before the deduction of depreciation charges for capital goods. This measure is widely accepted as the most comprehensive measure of national economic activity. 

The Effect of Crime on Residential Rents and Property Values

The central purpose of this investigation is to remedy the defects of the direct estimate approach of the costs of crime to victims.* Traditionally, this method has included such costs as (a) the estimated market value of the goods and property stolen or destroyed, (b) the loss of earnings due to personal injury or death, and (c) crime prevention expendi tures.2 There are many inherent defects in these kinds of estimates, several of which are important to mention here. First, the market value of prop erty or goods does not measure their true value to individuals when the consumer reservation de mand price exceeds the market price. Second, the loss of earnings is neither the only nor, perhaps, the major cost involved in personal injury crimes. The price people would have to be paid to submit willingly to crimes against their person would no doubt exceed their lost pecuniary earnings. Third, the empirical identification of crime-avoidance ex penditures is not always easy. When, for example, is a taxi ride home crime-related and when is it not? Finally, the fear of crime which usually does not manifest itself in ultimate actual victimization is a true cost. To the extent that people are risk averse, the expected value of all losses will under state the cost of crime to the individual. The examination of the impact of crime on rents and property values undertaken here can, in principle, capture all of these costs. The housing market is essentially an implicit market on which people reveal the costs of crime as they themselves perceive them. Consequently, it is thereby possible to obviate the problems inherent in an outside observer attempting to assign costs independently of the behavior of the individuals. Improvement in the accuracy of crime-cost estimations can have at least two important con sequences. We can begin to acquire the data neces sary for first, the determination of optimal crimi nal penalties, as well as, second, the determination of optimal crime prevention expenditures by public agencies. This is, of course, only a beginning, for

The Cost of Crime to Victims: An Empirical Analysis

THE last decade has witnessed a burgeoning attention to the economics of law and legal institutions. Considerable work has been done in such areas as the optimal amount of law enforcement, response of criminals to various kinds of enforcement and penalties, and the comperisation of victims.1 Nevertheless, little if any attention has been given to a rigorous empirical study of the costs that crime imposes on its victims and potential victims. The aim of the present investigation is to make progress in filling this important gap. The most popular method for computing crime has been that followed by the President's Commission on Law Enforcement.2 This is a direct-estimate approach which includes the estimated market value of goods and property stolen or destroyed, loss of earnings due to personal injury or death, a rough estimate of expenditures to avoid crime by individuals and public agencies, and so forth. This method has several important defects not characteristic of our approach. First, there are serious problems in determining empirically what constitutes protection against crime, and hence there may be significant omissions (e.g., taxi rides home due to fear of crime).3 Second, loss of earnings may not capture the full (subjective) costs to victims who might well have to be compensated for more than their lost money earnings. Finally, the direct-estimate technique may seriously understate crime costs in the presence of risk aversion where these costs will exceed the expected value of losses. In contrast, the approach of this study, focuses on changes in property values associated with changes in crime, and has the virtue of being able to