Economic Stagnation and Crisis in Korea during the Eighteenth and Nineteenth Centuries

In contrast to rapid economic growth in the twentieth century, Korea suffered a long economic decline in the eighteenth and nineteenth centuries, with the failure accelerating from 1850 to 1890. According to 36 different harvest records, rice productivity continuously declined from the early eighteenth to the late nineteenth centuries due to deforestation and increase in natural disasters. Contraction of rural markets after the interruption of trade with Japan also contributed to the decrease in rice production. The third reason for the nineteenth‐century crisis was the dissolution of the government‐led grain storage and redistribution system. Finally, the ultimate culprit for the crisis could be found in Confucianism with which the Joseon Dynasty was unable to properly understand and respond to the crisis.     

Economics of total quality management

This paper presents two models of the economics of total quality management. In the first, the concept of quality management is viewed as a technological innovation that requires investment. To reduce cost and improve quality, firms must make investments that are largely sunk. The effect of market competition on quality related technology investments is studied. Several results follow. With new quality technologies, price falls, quality rises and average cost declines. Firms must anticipate rivals' technology choices and the market prices when justifying quality technology investments. When all firms quickly adopt quality technology, returns of such investments are normal, that is, have a zero net present value. However, firms that do not invest in quality related technology are forced from the market. A firm that is faced by competitors that are slow to adopt quality related technology, can earn positive returns by early adoption. The firm invests more in quality related technology, and produces higher quality products, charges a higher price and earns higher profits than competitors. The firm's quality, price and profit advantages persist over time. In the second model, we show that firm value increases when customer satisfaction is used as an objective by aligning incentives. This explains the common use of customer satisfaction measures in TQM programs.     

What Do Deviations from Covered Interest Parity and Higher FX Hedging Costs Mean for Asia?

Open Economies Review - Asian countries have high demand for US dollars and are sensitive to US dollar funding costs. An important, but often overlooked, component of these costs is the basis...     

Time Orientation in Languages and Tax Avoidance

Journal of Business Ethics - Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If...     

Factors contributing to business actions in response to climate change in Korea

Climate change is a growing problem and has been highlighted as a global issue. Empirical evidence increasingly indicates its obvious potential risks to humans and society. As members of this society, business organizations face greatly diverse climate change-related risks that they must recognize and respond to. However, gaps exist between scientific evidence and the actions of business organizations. Few empirical studies have examined the business organizations’ actions taken in response to climate change in Korea. This paper addresses this critical gap in the climate change literature by examining business organizations’ behaviors and identifying the factors influencing their actions. We employ statistical models to compare corporate climate change actions, and we explain their variations using survey data. The results indicate that despite increasing concerns about climate change, businesses have implemented very limited precautionary mitigation and adaptation actions. In addition, the concerns of the businesses about future climate change impact, organizational capacity (leadership, staff capacity, existence of a relevant division or department), and business size are significant factors with respect to the implementation of climate change actions.     

Does income inequality increase marginal propensity to consume?

This article empirically investigates the effects of income inequality on the marginal propensity to consume (MPC), using panel data of 22 OECD countries over the period 1994–2015. We find that MPC increases dramatically as income inequality increases. In subsample analyses, the MPC of a high inequality group is more than twice that of a low inequality group.     

Patterns of technology life cycles: stochastic analysis based on patent citations

Patent analysis has been considered as an effective means of estimating phases of a technology life cycle. However, previous studies have not considered the dynamic and idiosyncratic aspects of a technology’s progression since they were based on deterministic methods, mainly fitting s- or double s-shaped curves to patent application counts. Moreover, previous methods cannot be executed at the individual patent level. We propose a stochastic technology life cycle analysis to trace the phases of a technology’s progression based on patent citations and identify the patterns of technology life cycles at the individual patent level. At the heart of the proposed approach are a hidden Markov model to estimate the probability of a system being at a certain hidden state from observation and cluster analysis to group a set of objects according to their similarities. A case study of patents about laser technology in lithography is presented.     

Robust future‐oriented technology portfolios: Black–Litterman approach

We propose a new way of constructing more robust technology portfolios to overcome the weaknesses of previous technology portfolios based either on the judgments of experts or on quantitative data such as patents. Instead of using historical data, the method of nonlinear forecasting enables us to forecast the future number of patent citations and accordingly, to use the forecast as a quantitative proxy for future returns and risks of technologies. Using the Black–Litterman portfolio model, we improve the accuracy of inputs by combining the future views of experts with the future returns and risks of technologies. As a consequence of this, the portfolio becomes strongly future‐oriented. With our approach, corporate managers use both experts and data more effectively to build robust technology portfolios. In particular, our method is of great help for companies launching new businesses because the method avoids heavy dependency on internal experts with little knowledge about emerging technologies. A company entering the molecular amplification instrument market is exemplified herein.