Measuring consumption efficiency with utility theory and stochastic frontier analysis

The concept of production efficiency has been studied since the 1960s, but consumption activity as well may be inefficient for various reasons, such as product complexity, lack of information, the bounded rationality of the consumer and imperfect markets, to name a few. This study proposes a conceptual framework for measuring the consumption efficiency of differentiated products, based on traditional utility theory. It employs stochastic frontier analysis (SFA) in an empirical analysis. It makes use of hedonic price theory to link traditional utility theory and the SFA framework. When the developed model is applied to the Korean personal computer market, empirical results indicate the levels and distribution of consumption efficiency in that market. The findings afford us a better understanding of the characteristics of the innovation process in that market.     

An approach to the construction of indexes of technological change and of technological sophistication : The case of agricultural tractors

Two indicators of the output of technological innovation have been developed for the case of agricultural tractors. The tractor is a multicharacteristic product, and a fundamental problem in measuring its technological sophistication or technological change is to determine the relative weights of different characteristics. These relative weights have been approximated by the coefficients of a regression of tractor price with respect to tractor technical characteristics. The indicators developed allow one to measure technical change over time or the relative technical sophistication of different tractor models or tractor firms at a given moment. These indicators can be applied only to multicharacteristic products with easily quantifiable characteristics. However, products that satisfy these requirements account for a very large share of the market for industrial goods. These indicators can be useful in assessing the efficiency of R&D, in analyzing the influence of technological innovation on patterns of trade, and in determining the contribution of changes in the quality of capital goods employed to increases in industrial productivity.     

旅游线路产品能源消耗及二氧化碳排放量估算方法及实证分析

旅游业节能减排目标的实现需落实到旅游企业、旅游者的推广与实践方能实现。旅游线路一直是旅游市场的主力产品,然而对其能源消耗及CO2排放的评估却是空白。基于碳排放理论及游客消费特征,提出其能源消耗和CO2排放估算模型。以三种海南旅游产品为例,计算并分析各线路的能源消耗及CO2排放量。结果表明:各产品能源消耗及CO2排放量从大到小依次是行、食、住、游、购、娱;交通方式、从客源地到目的地距离、产品结构及能源类型是影响其能源消耗及排放量结构的主要因素;旅游活动产生的温室气体不容忽视;旅游业面临节能减排的压力。     

Innovation,competition and firm size distribution on fragmented markets

This paper presents a simple model of firm and consumer behavior. We formulate a sub-market entry game, where boundedly rational firms decide on investing in R&D for inventing new products that will appeal to targeted groups of consumers. The success depends on the amount of resources available for the project as well as on the firm’s familiarity with market characteristics. Successful innovation feeds back into the firm size and (potentially into) market knowledge and increases the future R&D productivity. A new product decreases the market-shares of incumbents. However, this business stealing effect is asymmetric across incumbent population. We identify the section of parameter space where firms have an incentive to diversify horizontally. In this section, the model results in rich industrial dynamics. Firm size heterogeneity emerges endogenously in the model. Equilibrium firm size distributions are heavy tailed and skewed to the right. The heaviness of the tail depends on submarket specificity of firm’s market knowledge. This relationship is non-monotonic, emphasizing two different effects of innovation on industrial dynamics (positive feedback and asymmetric business stealing).     

Standards policy and international trade: Multilateralism versus regionalism

We develop a simple model of policy coordination on domestic standards and examine whether domestic standards policy can lead to regional and multilateral harmonization of standards under the principle of national treatment. This paper focuses on mandatory product and process standards affecting the characteristics of a final good that control negative consumption externalities (e.g., vehicle emissions control and safety standards, restrictions on the use of pesticides for agricultural goods, and safety standards for electrical products). Only the products that meet a country's national standards are allowed to circulate in that country's market. Raising standards reduces negative externalities caused by consumption of a traded good but increases firms’ costs. We use the core as the solution concept. A standards regime is considered to be in the core if it is not blocked by any coalition within countries. The main finding is that a multilateral agreement on standards that maximizes world welfare is only in the core if externalities are local or slightly transboundary. Otherwise, only a regional agreement on standards is in the core. As extensions, we consider many and asymmetric number of firms, asymmetry in market size, fixed costs for different standards, and a multilateral agreement on different standards.     

产品市场扭曲对居民消费潜力的影响研究——基于制造业数字化转型视角

随着统一大市场的加速构建，培育一个具有良好竞争环境的“内循环”消费市场是实现中国经济平稳复苏的有效途径。基于2001—2015年中国工业企业数据库，结合地区投入产出表匹配数据，以制造业数字化转型视角深入探究由区域市场势力引致的产品市场扭曲对居民消费潜力的影响。研究发现：(1)产品市场扭曲对居民消费潜力存在显著的抑制作用，主要通过加剧价格波动、降低产品质量、缩减供给规模、减少劳动收入四条途径抑制居民消费潜力；(2)数字化转型的调节效应显著弱化了产品市场扭曲对居民消费潜力的抑制作用，其中，产业互联网相对于其他维度的数字化转型表现出更强的调节效应；(3)考虑产品类别、行业及地区异质性发现，对于基础型和普通品质产品、资本密集和低竞争度行业、城镇和西部地区，数字化转型更能显著缓解产品市场扭曲对居民消费潜力的抑制作用。研究结论为优化市场供给环境，推进数字化转型，实现消费潜力有效释放提供了产业层面的证据和决策依据。     

Oligopolistic Competition, Technology Innovation, and Multiproduct Firms

Firms' proliferation behavior in a differentiated product market is studied using an oligopolistic competition model with multiproduct firms. The model has the following characteristics: (1) the elasticity of substitution across firm's own products and the elasticity of substitution across different firms are allowed to differ; (2) the product managers of the same firm behave cooperatively rather than independently; (3) the number of firms is determined by a free-entry condition and so is endogenous. If the elasticity of substitution across the firm's own products increases, it is shown that the firm proliferates less and the number of firms in the market increases. If the elasticity of substitution across different firms increases, firms proliferate more and the number of firms in the market decreases.     

Forecasting future demand for large-screen television sets using conjoint analysis with diffusion model

The methodological framework proposed in this paper addresses two limitations of the basic Bass diffusion model: that it does not reflect competition among products nor does it forecast demand for products that do not exist in the marketplace. The model consists of four steps. First, to investigate consumer preferences for product attributes, we use conjoint analysis to estimate the utility function of consumers. Next we estimate the dynamic price function of each competing product to reflect technological changes and the evolving market environment. Then we derive dynamic utility function by combining the static utility function and the price function. Finally, we forecast the sales of each product using estimated market share and sales data for each period, which are derived from the dynamic utility function and from the Bass diffusion model, respectively.We apply this model to South Korea's market for large-screen televisions. The results show that (1) consumers are sensitive to picture resolution and cost and (2) in the near future, should the market see the introduction of liquid crystal display (LCD) TVs with screens larger than 50 inches, the high resolution and steep price drop of LCD will lead LCD TVs to capture a larger market share than TVs with other display types. Finally, our results show that TVs with 40-inch screens are preferred over TVs with larger screens.     

我国水产品进口贸易波动研究

随着我国人民生活水平及消费水平的提高,对水产品的需求不断增加。因此,本文首先对1995~2017年我国水产品进口贸易现状进行分析,并应用CMS模型对我国水产品进口贸易波动进行实证分析,探索水产品进口贸易增长成因,检验水产品进口与世界进口规模间的关系,据此为促进我国水产品进口贸易的可持续发展提出相关建议。研究结果表明：世界经济的发展及我国较强的进口引力是促进我国水产品进口贸易增长的关键因素,而进口产品结构及市场分布的不合理阻碍了我国水产品进口贸易的增长。因此,应协调世界经济发展,优化水产品进口贸易品种结构及市场结构,加强国际交流与协作,进而推进水产品进口贸易及国内产业的可持续发展。     

What are the determinants of hiring? The importance of product market demand and search frictions

In this article, we study the importance of product market demand and search frictions for hiring. We use a search-matching model with imperfect competition in the product market to derive an equation for total hiring in a local labour market, and estimate it on Swedish panel data. If product markets are imperfectly competitive, product demand shocks should have a direct effect on employment for given levels of prices and wages. Our main finding is that product demand has such a direct effect on hiring. This highlights the importance of taking imperfect competition in the product market into account in studies of employment dynamics and hiring. We also find that, for given levels of prices, wages, and product demand, the number of unemployed workers in a local labour market has a positive effect on hiring, suggesting that search frictions matter. Quantitatively, product demand shocks seem to be more important for understanding the variation in hiring than shocks to the number of unemployed workers.     

Demand forecasting for multigenerational products combining discrete choice and dynamics of diffusion under technological trajectories

The discrete choice model generally captures consumers' valuation of the product's quality within the framework of a cross-sectional analysis, while the diffusion model captures the dynamics of demand within the framework of a time-series analysis. We propose an adjusted discrete choice model that incorporates the choice behavior of the consumer into the dynamics of product diffusion. In addition, a new estimation structure is proposed, within the framework of the time-series analysis, which enables the estimation of the discrete choice model on market-level data to be performed in such a way as to avoid the problem of price endogeneity and to obtain greater flexibility in forecasting demand. As an empirical application, the suggested model is applied to the case of the worldwide DRAM (dynamic random access memory) market. In forecasting future demand of DRAM generations, we integrate Moore's law and learning by doing to reflect the future technological trajectories of DRAM innovations, as well as consumers' consumption trends to reflect the dynamics of demand environments. As a result, the suggested model shows better performance in explaining the diffusion of new-generation product with limited number of data observations.     

Consumer misperception of eco-labels,green market structure and welfare

Eco-labels are essential for informing consumers about products’ environmental characteristics. However, the many different labels consumers encounter can be confusing, which makes assessing environmental quality associated with each label difficult. How does consumer misperception of competing eco-labels affect market structure and welfare? This article provides theoretical insight into this issue by using a double-differentiation model in which three products compete: an unlabeled product and two distinctly eco-labeled products, one with a medium and one with a high level of environmental quality. The study investigates the effects of consumers’ imperfect information when they perceive all eco-labels as a sign of the same high environmental quality and consider each label as a unique product. This misperception can weaken the firm that provides the greenest product, though paradoxically this situation is not always detrimental to social welfare. However, depending on the certifying organizations, consumer misperception can induce firms to use a greenwashing strategy and encourage nongovernmental organizations and regulators to introduce less stringent standards.     

Innovation diffusion with generation substitution effects

Markets of high technology products and services, such as telecommunications, are described by fast technological changes and rapid generational substitutions. Since the conventional modeling approaches that are based on diffusion models do not usually incorporate this important aspect into their formulations, the accuracy of the provided forecasts is consequently affected. The work presented in this paper is concerned with the development of a methodology for describing innovation diffusion, in the context of generation substitution. For this purpose, a dynamic diffusion model is developed and evaluated, based on the assumption that the saturation level of the market does not remain constant throughout the diffusion process but is affected by the diffusion of its descendant generation, as soon as the latter is introduced into the market. In contradiction to the conventional diffusion models, which assume static saturation levels, the proposed approach incorporates the effects of generation substitution and develops a diffusion model with a dynamic ceiling. The importance of such an approach is especially significant for markets characterized by rapid technological and generational changes. Evaluation of the proposed methodology was performed over 2G and 3G historical data and for a number of European countries, providing quite accurate estimation and forecasting results, along with important information regarding the rate of generation substitution.     

Financial distress and fiscal inflation

Is inflation ‘always and everywhere a monetary phenomenon’ or is it fundamentally a fiscal phenomenon? The answer hinges crucially on the underlying monetary–fiscal policy regime. Scant attention has been directed to the role of credit market frictions in discerning the policy regime, despite its growing importance in empirical macroeconomics. We augment a standard monetary model to incorporate fiscal details and credit market imperfections. These ingredients allow for both interpretations of the inflation process in a financially constrained environment. We find that introducing financial frictions to the model and adding financial variables to the dataset generate important identifying restrictions on the observed pattern between inflation and measures of financial and fiscal stress, to the extent that it overturns existing findings about which monetary–fiscal policy regime produced the U.S. data. To confront policy regime uncertainty, we propose the use of dynamic prediction pools and find strong cyclical patterns in the estimated historical regime weights.     

Segmentation of consumer markets in the US: What do intercity price differences tell us?

We quantify the magnitude of market segmentation in US consumer market and explore the underlying factors behind this segmentation, using a quarterly panel of retail prices for 45 products in 48 US cities from 1985 to 2009. The extent of market segmentation is estimated using city‐pair price differences within the framework of both linear autoregressive (AR) and nonlinear threshold autoregressive (TAR) models. We find that the magnitude of market segmentation varies from one product to another, but even more across city pairs in each product. Contrary to a widespread perception, market segmentation within the US is not necessarily larger for non‐tradable services compared to tradable goods. We identify potential drivers of market segmentation by relating the cross‐city and cross‐product variations of market segmentation to location‐specific and product‐specific characteristics—distance, relative city sizes, differences in wage and rent, type of product and proximity to marketplace. Distance, which captures more than transport costs, turns out to be the most salient factor even after controlling for a range of other potential factors. The effect of distance, however, varies substantially across products, with perishable products and locally produced products showing larger distance effect on market segmentation. We find that the magnitude of market segmentation has been somewhat stable during the sample period, but intercity price differences have become more sensitive to distance over time in many products under study.     

Investigation of the effect of secondary market on the diffusion of innovation

In the high-tech product market, the number of hungry adopters, a new type of early adopters who buy new products and sell them soon in the on- or off-line secondary market to seek for the other new products, has been increasing due to the short product life cycle of high-tech products and the low transaction cost on the Internet. This new phenomenon means that it is inappropriate to consider customers only in the primary market as total adopters in innovation diffusion modeling, since purchasers in the secondary market also have a word-of-mouth effect on the remaining non-adopters. To explain this new phenomenon, we modify the basic Bass diffusion model by incorporating the effect of the secondary market and conduct an empirical analysis. As a result, we conclude that the basic Bass model is likely to overestimate sales volume and tends to forecast lagged peak time when there is an effect from the secondary market. This means that applying a diffusion model to high-tech products without considering the secondary market effect would provide an inaccurate market forecast.     

Stimulating diffusion of green products

This paper presents a model-based analysis of the introduction of green products, which are products with low environmental impacts. Both consumers and firms are simulated as populations of agents who differ in their behavioural characteristics. Model experiments illustrate the influence of behavioural characteristics on the success of switching to green consumption. The model reproduces empirical observed stylised facts and shows the importance of social processing and status seeking in diffusion processes. The flexibility of firms to adapt to new technology is found to have an important influence on the type of consumers who change their consumption to green products in the early phase of the diffusion process.     

Renewable Resource Use and Nonseparable Amenity Benefits

We incorporate amenity benefits into an overlapping generations model with a renewable resource as a factor of production, source of amenity benefits and store of value. Unlike the conventional renewable resource problems studied under the assumption of additive consumption and amenity benefits, we let amenity benefits affect the utility of consumers in a nonseparable fashion. We examine the role that weights given to consumption and amenities have for harvesting and the resource stock. We characterize dynamics and stability of steady state equilibria with a logistic resource growth function. We demonstrate in parametric and numerical models that the weights given to consumption and amenities in the utility function matter substantially for the steady state equilibrium stock and its stability and dynamics. Both conventional saddle point equilibria and indeterminacy with infinite number of equilibria and saddle-node bifurcation is possible depending on the weights given to consumption and amenities. In addition, we show that for each inefficient equilibrium stock, there is a unique subsidy rate that can move the economy from an inefficient equilibrium to an efficient one. The presence of indeterminacy provides a challenge to resource policies, because the system becomes unpredictable. Therefore, expectations and market psychology may play an important role in resource utilization and provision of amenities.     

Environmental impacts of fat blends

Environmental Life Cycle Analysis (LCA) has emerged over the past years as a method to assess environmental impacts of products and processes. In this case study we use LCA to obtain an environmental measure for refined oils, which are inputs for fat blends. As a start, an inventory is drawn up of the environmental effects of the oils. Then we use the Analytic Hierarchy Process (AHP) to aggregate the scores of these effects to one environmental index for each oil. This multiple criteria decision tool involves making pairwise comparisons between the environmental effects, resulting in relative weight factors. Multiplying the effect scores with the relative weights yields an environmental index. It is now possible to improve the environmental impact of a fat blend composition using the environmental index in a linear programming (LP) blending model. With this combination of methods, environmental aspects of products can become part of product portfolio management.