ECONOMIC TRANSITION AND LABOUR MARKET DYNAMICS IN CHINA: AN INTERPRETATIVE SURVEY OF THE ‘TURNING POINT’ DEBATE

Has the Chinese economy approached the ‘Lewisian turning point’ that marks the ending of the initial phase of industrial transformation fuelled by surplus labour? In this paper we undertake an interpretative survey of the literature on this issue, in the context of China's labour market conditions prior to the reforms and structural change of the past three decades. The available evidence is mixed, and our assessment makes a strong case for probing institutional constraints to labour mobility from an economy‐wide perspective, going beyond the confines of the rural economy.     

Exploring the Intensive and Extensive Margins of World Trade

World trade evolves at two margins. Where a bilateral trading relationship already exists it may increase through time (intensive margin). But trade may also increase if a trading bilateral relationship is newly established between countries that have not traded with each other in the past (extensive margin). We provide an empirical dissection of post–World War II growth in manufacturing world trade along these two margins. We propose a “corner-solutions version” of the gravity model to explain movements on both margins. A Tobit estimation of this model resolves the so-called “distance puzzle”. It also finds more convincing evidence than recent literature that WTO-membership enhances trade. JEL no. F12, F15     

Job growth in early transition: Comparing two paths*

Small start‐up firms are the engine of job creation in early transition. We ask about differences in their growth across two different transition economies: Estonia, which experienced rapid destruction of pre‐existing firms, and the Czech Republic, which reduced the old sector gradually. We find that the majority of job growth corresponds to within‐industry reallocation. The within‐industry growth of small start‐up firms is similar in the two countries, in line with the convergence to Western industry firm‐size distributions. We also find similar patterns in the evolution of wage differentials between start‐ups and old firms and small differences in the extent of low‐wage employment in start‐ups across the two transition paths. JEL Classifications: J2, J3, J4, L1, O1, P2.     

如何计算认股权证的资本成本

认股权证作为一种长期资金的筹资方式 ,其资本成本必须予以考虑。但是使用传统资本成本计算方法不能反映其真实成本。本文尝试使用B -S和CAPM模型来计算其资本成本 ,并用实例说明     

Time Inhomogeneous Multiple Volatility Modeling

Price variations at speculative markets exhibit positive autocorrelationand cross correlation. Due to large parameter spaces necessaryfor joint modeling of variances and covariances, multivariateparametric volatility models become easily intractable in practice.We propose an adaptive procedure that identifies periods ofsecond-order homogeneity for each moment in time. To overcomethe high dimensionality of the problem we transform the multivariateseries into a set of univariate processes. We discuss thoroughlythe implementation of the adaptive technique. Theoretical andMonte Carlo results are given. We provide two applications ofthe new method. For a bivariate exchange rate series we comparethe multivariate GARCH approach with our method and find thelatter to be more in line with the underlying assumption ofindependently distributed innovations. Analyzing a 23-dimensionalvector of asset returns we underscore the case for adaptivemodeling in high-dimensional systems.     

A computational general equilibrium model with vintage capital

This paper presents a vintage capital model assuming putty–clay investment and perfect foresight. The model is written in discrete time and is simulated by using a second order relaxation algorithm. By computing the eigenvalues of the dynamic system, we have checked the conditions of existence and uniqueness of a solution (Blanchard and Kahn's conditions) and identified the echo effect that characterizes vintage capital models and the related dynamics of creation and destruction. By calibrating the model on French data, it has been proved useful to explain the medium-term movements in the distribution of income in France during the last three decades.     

Negotiation support using the Graph Model for Conflict Resolution

The Graph Model for Conflict Resolution is a flexible methodology for systematically studying strategic conflicts in the real world, and is therefore a natural tool for negotiation support. The basic definitions underlying the graph model are reviewed, and the techniques for analysis and interpretation are discussed. The modeling and analysis of a case study, an international trade negotiation concerning the export of Canadian softwood lumber to the United States, are used to demonstrate the practical application of the Graph Model for Conflict Resolution as a negotiation support tool. The modeling and analysis is carried out using the GMCR software system. The ability of the Graph Model for Conflict Resolution to provide insights and advice to negotiators is emphasized.     

Firm ownership and internal labour practices in a transition economy

One feature common to many post‐socialist transition economies is a relatively compressed wage structure in the state‐owned sector. We conjecture that this compressed wage structure creates weak incentives for work effort and worker skill acquisition and thus presents adverse consequences for the entire transition economy if a substantial portion of the labour force works in the state sector. We explore firm wage incentives and worker training, as well as other labour practices and outcomes, in a transition setting with matched firm and worker data collected in one of the largest provinces of Vietnam – Ho Chi Minh City. The Vietnamese state sector exhibits a compressed wage distribution in relation to privately owned firms with foreign ownership. State wage practices stress tenure over worker productivity and their wage policies result in flatter wage–experience profiles and lower returns to education. The state work force is in greater need of formal training, a need that is in part met through direct government financing. In spite of the opportunities for government financed training and at least partly due to inefficient worker incentives, state firms, by certain measures, exhibit lower levels of labour productivity. The private sector comparison group to state firms for all of these findings is foreign owned firms. The internal labour practices of foreign firms are more consistent with a view of profit‐maximizing firms operating with no political constraints. This is not the case for Vietnamese de novo private firms that exhibit much more idiosyncratic behaviour and whose labour practices are often indistinguishable from state firms. The exact reasons for this remain a topic of on‐going research yet we conjecture that various private sector constraints, including limited access to formal capital, play an important role.     

The curse of natural resources in the transition economies*

The curse of natural resources is a well‐documented phenomenon for developing countries. Economies that are richly endowed with natural resources tend to grow slowly. Among the transition economies of the former ‘Eastern Bloc’, a similar pattern can be observed. This paper shows that a large part of the variation in growth rates among the transition economies can be attributed to the curse of natural resources. After controlling for numerous other factors, there is still a strong negative correlation between natural resource abundance and economic growth. Among the transition economies the prime reasons for the curse of natural resources were corruption and a neglect of basic education. In order to overcome the curse of natural resources and move to a sustainable path of development, the resource abundant transition countries should fight corruption and ensure that their resource revenues are invested in human capital or the preservation of natural capital.     

The Marshallian macroeconomic model: A progress report

In this progress report, we first indicate the origins and early development of the Marshallian macroeconomic model (MMM) and briefly review some of our past empirical forecasting experiments with the model. Then we present recently developed one-sector, two-sector and n-sector models of an economy that can be employed to explain past experience, predict future outcomes and analyze policy problems. The results of simulation experiments with various versions of the model are provided to illustrate some of its dynamic properties that include “chaotic” features. Last, we present comments on planned future work with the model.