Dynamic Stability, Paradoxical Comparative Statics, and Factor–Market Distortions in an Economy with Three Production Sectors

In an earlier paper the authors clarified the relationship between the stability of long–run equilibrium and the possibility of paradoxical comparative statics in the Lerner–Samuelson two–by–two model of production with factor–market distortions (see Review of International Economics 9 (1901) :383–400). The present paper extends the analysis to an economy with three production sectors. It is found that almost all properties of long–run equilibrium in the two–by–two model with factor–market distortions continue to hold, while some new properties, such as plurality of equilibrium, appear. Specifically, the instability of the adjustment process is not ruled out; a paradox cannot coexist with stable equilibrium in a small open economy, but may do so in a closed economy.     

Productivity growth and biased technological change in Japanese airports

In this paper, the productivities of Japanese airports over the period of 1987–2005 are analyzed using the Malmquist index, and technological bias is investigated. During this period, airports on average became less efficient and experienced technological regress. Our results indicate that the traditional growth accounting method, which assumes Hicks neutral technological change, is not appropriate for analyzing changes in productivity for Japanese airports.     

TECHNICAL EFFICIENCY,REGULATION AND HETEROGENEITY IN JAPANESE AIRPORTS

In this paper, the random stochastic frontier model is used to estimate the technical efficiency of Japanese airports, with regulation and heterogeneity included in the variables. The airports are ranked according to their productivity for the period 1987–2005 and homogeneous and heterogeneous variables in the cost function are disentangled. Policy implications are derived.     

Process System Modelling of Production Technology Alternatives using Input–Output Tables with Sector Specific Units

Input–output analysis is usually based on tables of accounts expressed in uniform monetary or physical units. However, from a process system modelling perspective, tables of accounts in sector specific units may be more useful for evaluating the effectiveness of new production technologies on reducing pollutant emissions. Using the sector specific unit conceptualization of an IO table, one can consider the effect of changes in direct input coefficients for a particular sector on the complete set of total input coefficients independently from the other direct input coefficients. A process system modelling based method for calculating the total industrial outputs from a new technology matrix together with the new relative prices for each sector output is presented. The method is then used to study the effect of technology changes in the steel making industry in Liaoning Province, China on prices and pollutant emissions.     

Product Market Competition and Corporate Real Estate Investment under Demand Uncertainty

This article theoretically and empirically analyzes the interactions among corporate real estate investment, product market competition and firm risk. In our model, firms own strategic real estate or lease generic real estate. Our model predicts that strategic real estate ownership is positively correlated with industry concentration and negatively related to demand uncertainty. Also, firm risk is higher for firms with more strategic real estate operating in a more concentrated market. This prediction arises because smaller investments induce greater market competition, which effectively eliminates the right tail of the firm's profit distribution. We provide strong empirical support for our predictions. In particular, firm value is more volatile in less competitive markets for a given level of demand uncertainty.     

Fiscal Sustainability of Local Governments in Japan†

The total amount of Japan's local government (LG) expenditures exceeds its central government (CG) expenditures. Japan's LG and CG are responsible for the worst general government's debt situation among the G7 countries. The paper elucidated the fiscal reactions of Japan's prefecture governments (PGs) based on Bohn's (1998a, 2005) method with a panel dataset (44PGs, fiscal years 1974–2016), addressing nonstationary and endogeneity issues. In my model, a positive reaction of the primary surplus/gross regional product (GRP) ratio to the PG debt/GRP ratio (d) constitutes a sufficient condition for sustainability. The results of the study demonstrate the following: (i) the PG in any fiscal condition are assumed to provide sustainable fiscal management; (ii) the PGs in sounder or more dire fiscal conditions probably manage their finances more firmly; (iii) the fiscal transfers from the CG generally ease the PG fiscal conditions; (iv) although primary regressors d and dsq (the square of d) are assumed to be I (1) with some accuracy, they become stationary through cointegration with other regressors.     

Convergence in pollution terms of trade

To construct pollution terms of trade (PTT) on the basis of CO₂ emissions, we implement the world input–output tables for 40 countries by 35 industries to account for intermediate trade. We examine whether the PTTs have converged among the 40 countries between 1995 and 2009. The empirical evidence supports PTT convergence; PTT growth is negatively related to its initial level and this empirical result is robust to various control variables.     

Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions

Penalized splines are used in various types of regression analyses, including non‐parametric quantile, robust and the usual mean regression. In this paper, we focus on the penalized spline estimator with general convex loss functions. By specifying the loss function, we can obtain the mean estimator, quantile estimator and robust estimator. We will first study the asymptotic properties of penalized splines. Specifically, we will show the asymptotic bias and variance as well as the asymptotic normality of the estimator. Next, we will discuss smoothing parameter selection for the minimization of the mean integrated squares error. The new smoothing parameter can be expressed uniquely using the asymptotic bias and variance of the penalized spline estimator. To validate the new smoothing parameter selection method, we will provide a simulation. The simulation results show that the consistency of the estimator with the proposed smoothing parameter selection method can be confirmed and that the proposed estimator has better behavior than the estimator with generalized approximate cross‐validation. A real data example is also addressed.