Evolutionary Characteristics of China＇s Intermediate Manufactures

China's economic development is characterized by progressive integration with international production chains as an assembly producer. Japan and South Korea are the major partners providing intermediate products to China. The present paper analyzes the Chinese intermediate sector's present condition and evolutionary characteristics revealed in bilateral trade with Japan and South Korea. The analysis uses the framework of new trade theory represented by “intra‐industry trade”. Trade statistics from 1997 to 2004 are analyzed using the database published by the OECD. Results show that China's inter‐industrial evolution is characterized by its expanding positioning in the manner of the flying geese development paradigm of Asian countries. Furthermore, intra‐industrial evolution is characterized by a concentration on price competitiveness. The framework and results of the industrial analysis presented in this paper assist in the understanding of China's manufacturing evolution and of the policy‐making decisions taken in the process.     

The Measurement of Consumption Efficiency Considering the Discrete Choice of Consumers

In this study we propose a mathematical definition of the consumption efficiency of multi-attribute products in the price–quality space. A new model, the discrete Range Adjusted Measure (RAM) model, is suggested as an empirical tool to measure the level of consumption efficiency. We further discuss the effect of consumption efficiency on the innovation incentive. Empirical work is made for the mobile phone market. We expect that the consumption efficiency concept will contribute to the extension of the traditional framework of production efficiency analysis on the one hand and to the understanding of the nature of innovation in a technology-intensive market on the other hand.JEL Classification: C67, D11, D12, D21     

Introduction to APPC-2018, a Special Issue of the Journal of Productivity Analysis, “Novel Applications of Efficiency and Productivity Analyses in the Asia-Pacific Region”

In this study, an appropriate nonparametric two-step approach to conditional efficiencies is used to investigate how size and time affect the performance of companies. Using a dataset of Italian manufacturing firms over the period 2006–2015, we explore the effect of size on the attainable production set (input-output space) and on the efficiency distribution, without making any a priori assumptions on the role of size on efficiency. Main findings suggest that size positively affects the efficiency of companies. By exploring the idiosyncratic efficiency, an additional empirical result from the conditional efficiency approach shows that the economic disparities between North, Centre and South of Italy not only limit the foreign investment but also seem to penalize the productivity of Italian-owned companies.

     

Technological Progress versus Efficiency Gain in Manufacturing Sectors

This study decomposes the nonparametric Malmquist productivity index for 36 Korean manufacturing sectors into two components: technological change and technical efficiency change. The empirical results show that while each sector displays quite different growth patterns, productivity growth is dominated by technological change. Technological change is found to have a negative correlation with efficiency change. Secondary regression performed in this study identifies the relationship between productivity growth measures and several key policy variables, such as effective protection rate, market concentration, and so forth. The productivity estimates are compared with those of the conventional Törnqvist productivity index.     

Product survival analysis for the App Store

We empirically analyze both free and paid products on the top 100 Free and Grossing charts in the Korea App Store using Weibull parametric survival analysis on the product level. The findings are as follows: First, influences of ranking, customer ratings, and contents size on product survival are different for free and paid products. Customer ratings and contents size critically affect product survival when the price is zero. Second, the early entrant advantage exists in App Store, which results from a ranking system in the App Store and consumer learning. However, the effect of early entrant advantage differs between the Free and Grossing charts; the benefit of early entrant advantage is greater on the Free chart than that on the Grossing chart. Finally, we provide a competitive profit model that is related to free products.     

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.     

Analysis of product efficiency in the Korean automobile market from a consumer’s perspective

In this study we develop and describe a conceptual and methodological framework to measure technical and allocative efficiency at the product level considering consumer choice, which encompasses overall efficiency. Empirically, we combined data envelopment analysis and a discrete choice model in order to measure efficiency levels. The suggested framework is applied to the Korean automobile market. The relationship between the level of efficiency and market performance is discussed in terms of market share.     

Total Factor Productivity in Korean Manufacturing Industries

Abstract

In this study, parametric and non-parametric methods are employed to measure the total factor productivity (TFP) growth in the Korean manufacturing industry from 1993 to 2003. The analysis period contains both periods before and after the Asian financial crisis. The TFP growth rate is decomposed into different components. Also different elasticities are reported. By classifying the results by period and classifying a number of time invariant firm characteristics, such as sector, size, and location of firms, we observe systematic heterogeneity for each characteristic. We discuss the underlying causal factors. The results from a non-parametric approach are also compared with those of a parametric approach.     

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.     

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.