• Korean Journal of Organic Agriculture
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• v.12 no.2
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• pp.135-151
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• 2004

U.S. organic farming has grown rapidly-20 percent or more annually-throughout the 1990s, which kept pace with consumer demand for organically produced food. Thus certified organic acreage is the total to 235 million acres in 48 state in 2001, and SO the U.S. ranked fourth in land area managed under organic farming systems. And according to several surveys, consumer's reasons for purchasing organic food are health and nutrition, taste and environmental concerns. California and North Dakota were the top two states in 2001 for certified organic cropland; the former with mostly fruits and vegetables, and the latter with wheat, soybeans, and other crops. And the top two states for certified organic pasture were Colorado and Texas. And then several states such as Iowa and Minnesota have begun subsidizing conversion to organic farming systems as a way to capture the environmental benefits of these systems. The price of organic produce fluctuates rather broadly because of being traded by market economy principle and of demand-supply disequilibrium. Nevertheless, average price premiums for organic produce are higher than the prices for the produce under conventional farming. Future prospects for U.S. organic farming are as follows; Demand for organically grown foods is expected to continue growing at a rapid pace, as more growers convert to organic production and more processors and distributors expand organic selections in their product lines. And new processed products and new types of healthy foods are likely to appear on the market, and some new organic products will be aimed at mainstream markets.

• Asia Marketing Journal
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• v.22 no.1
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• pp.41-60
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• 2020

The goal of the study is to understand the role of social norm in purchase decisions where demand is revealed in the form of multiple-discreteness. Consumers are socially engaged in various activities through the expectation from others in their community. Actions or decisions are likely to reflect this influence. This implicit or explicit social norm is revealed as the rules, regulations, and standards that are understood, shared, endorsed, and expected by group members. When consumers' decisions are in distance from the norm, they come to face discomfort such as shame, guilt, embarrassment, and anxiety. These pressure act as a constraint as opposed to utility in their decision making. In this study, the effect of social norms on consumer demand is captured via multiple constraint model where constraints are not only from budget equation but also from psychological burden induced by the deviation from the norm. The posterior distributions of model parameters were estimated via conjoint study allowing for heterogeneity via hierarchical Bayesian framework. Individual characteristics such as age, gender and work experience are also used as covariates for capturing the observed heterogeneity. The empirical results show the role of social norm as constraint in consumers' utility maximization. The proposed model accounting for social constraint outperforms the standard budget constraint-only model in terms of model fit. It is found that people with longer job experience tend to be more robust and resistant to the deviation from the norm. Incorporating social norm into the utility model allows for another means to disentangle the reason for no-purchase as 'not preferred' and 'not able to buy'.

• Journal of Nutrition and Health
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• v.33 no.7
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• pp.763-773
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• 2000

On the basis of the concept retained in nutition label(NL) the consumer's perception use and demand on NL nutrition knowledge(NH) purchase of nutrient controlled food and dietary modification for health were examined. The subjects were 1203 house wives mainly in the age of 30-40 and self administered questionnaire was employed. The results were as follows. Subjects' demand on nutrition information was greater while the availablity and usefulness of NL was unsatisfactory. The purchase frequencies of nutrient controlled foods were higher compared to NL reading. The use comprehenison reliability of nutrition information were better in high NK group compared to low NK group except the reliability on health claims. The required nutrients for content information were in the order of calorie Ca cholesterol Fe protein and total fat. The demand for nutrient content information was carrelated with intention of subjects' dietary modification but not the use of NL. These results indicate that NL be a good source of nutrition information and the consumers' demand for NL was based on their dietary purpose though the use of NL was unconfirmed.

• Asia Pacific Journal of Business Review
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• v.5 no.1
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• pp.1-9
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• 2020

Tourism development stimulates job creation and the development of other sectors of the economy. More than 30 sectors of the economy are connected to tourism. It distributes resources between sectors and stimulates of development of such sectors like transport, communications, services, trade, construction, and the production of consumer goods. All these increase the importance of tourism as well as forecasting it by analyzing the demand. This study is a review on inbound tourism of Uzbekistan. The study will examine regression analysis as an effective tool that plays an important role as well as in the field of tourism demand analysis. In this study, firstly the estimating tourism demand is explained, secondly, the regression analysis is examined as an estimating tool of tourism demand. The paper includes a country study dedicated to the Tourism market of Uzbekistan. Nevertheless, the forecast on the inbound tourism of Uzbekistan was developed by using some statistical data.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.45-55
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• 2018

The purpose of this study was to provide the necessary data to explore the development plans of consumer organizations by looking at the spatial distribution of consumer organizations. This is because community-based consumer organizations can propose concrete measures to solve consumer problems more effectively. In this study, data of 11 consumer organizations and 815 branches were collected and analyzed using local indicators of spatial distribution and spatial lag model. First, it was difficult to find patterns according to the geographical characteristics of the spatial distribution of consumer organizations. Second, consumer organizations were more distributed in areas with large populations and businesses and large areas. Third, there is a discrepancy between the demand and supply of consumer organizations when compared with the number of consumer counseling. Based on this, it is necessary to constantly seek concrete development plans by supplementing the qualitative data on the activities of consumer organizations.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.11
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• pp.2117-2123
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• 2008

This paper describes the portal system architecture of large consumers for ESP(Energy Service Provider) to provide customers with various value added services such as monitoring and controlling a wide variety of electric devices in consumer's premises for optimal energy management from both consumer side and ESP side, and the prototype implementation of 2 kinds of value added services. The architecture is composed of the device portal which gathers the information from electric devices and controls them and the consumer portal which can make ESP operate the optimal energy management with two-way communications. The demand side management and energy management functions was chosen and implemented for the prototype system as value added services. The prototype was designed to create, manage, and trace the events about services between ESP and customers.

• ETRI Journal
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• v.28 no.5
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• pp.621-630
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• 2006

Observation of the effects of a handset subsidy on the mobile telecommunication industry has revealed two different aspects. The activation of various mobile services and the handset market, has led to the rapid acceleration of the related technological development, which is a desirable result, while rising prices and the overspending of related resources are undesirable. A great deal of research has been conducted to assess both desirable and undesirable factors using qualitative methods. However, quantitative studies into the effects of a handset subsidy are rare. In this study, we consider the positive and negative effects on consumer welfare of a change in demand and prices brought about by a handset subsidy. Then, we quantitatively compare the positive and negative effects and analyze their direct effects on consumer welfare.

• KDI Journal of Economic Policy
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• v.38 no.1
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• pp.23-52
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• 2016

This paper examines the impact of introducing high-speed trains on consumer welfare, taking the ensuing changes in train schedules into account. Based on the estimated demand model for travel which incorporates consumer's heterogeneous preferences for travel schedules into the standard discrete-choice model, I separately evaluate the impact from adding high-speed trains and that from changes in train schedules. The results indicate that consumers who travel between two cities connected by high-speed trains benefit from the introduction of high-speed trains, while some travelers whose choice set does not include high-speed trains face a reduced frequency of non-high-speed trains, resulting in significant losses.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.76.1-76.1
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• 2011

With the growing penetration of distributed generation including from renewable sources, smart grid power system is needed to address the reliability problem. One important feature of smart grid is demand response. In order to design a demand response program, it is indispensable to understand how consumer reacts upon the change of electricity price. In this paper, we construct an econometrics model to estimate the hourly price elasticity of demand. This panel model utilizes the hourly load data obtained from KEPCO for the period from year 2005 to 2009. The hourly price elasticity of demand is found to be statistically significant for all the sample under investigation. The samples used for this analysis is from the past historical data under the price structure of three different time zones for each season. The result of the analysis of this time of use pricing structure would allow the policy maker design an appropriate incentive program. This study is important in the sense that it provides a basic research information for designing future demand response programs.

• Journal of the Korean Professional Engineers Association
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• v.42 no.6
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• pp.36-41
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• 2009

Smart Grid is grafting IT(information technology) techniques on existing electric power network, supplier and the consumer to do real-time exchange of information lead to both direction and energy efficiency optimization, it is a next potential electric power network method. Because of applying various distributed electric power sources, the electric power network system will follow in size and it is dispersive and it will operate independently, and it become the intelligent electric power network, which in consumer demand reacts at real-time, because of using various sensors. In this article explain concept, features, and contemporary background of Smart Grid, and describe improve reliability of the electric power quality.