Trade and dietary diversity in Eastern Europe and Central Asia

In public and academic debates, the linkages between agricultural markets and nutrition across the world are vividly discussed. This paper contributes to the ongoing debate by analyzing the relationship between greater openness to trade and dietary diversity. It focuses on the post-communist countries of Eastern Europe and Central Asia where trade reforms triggered growth in trade flows and foreign direct investment, which in turn affected food systems in these countries. This shift provides a natural experiment for studying the effects of trade openness on agricultural markets and consumer behaviour. Reduction in trade barriers, for instance in the context of the accession to the WTO and the EU, and the gradual integration with world markets after 1991 had implications for diets through changes in production, prices and incomes. We utilize country-level panel data for 26 post-communist countries in the period 1996–2013 to assess the effects of trade costs, agricultural trade openness and incomes on dietary diversity measured by the Shannon entropy index. The results from fixed effects and instrumental variables estimation are consistent with previous findings that income growth affects dietary diversity positively. They also provide novel evidence that trade barriers reduce variety of products available in domestic markets, in particular fruits and vegetables.     

关于公路与桥梁之间过渡段施工技术初探

本文主要分析了公路桥梁间过渡段出现不均沉降的原因以及公路桥梁间过渡段的施工技术的应用情况,此项技术对降低施工成本,提升桥梁的可靠性与安全性有重要作用。     

INVESTMENT BEHAVIOUR,CORPORATE CONTROL,AND PRIVATE BENEFITS OF CONTROL: EVIDENCE FROM A SURVEY OF UKRAINIAN FIRMS

We analyse the impact of ownership and corporate control on firms’ investment using the 2001 survey of Yacoub et al. on Ukrainian firms. The model explains investment by output, financial and soft budget constraints, and corporate control (and ownership) categories potentially enjoying private benefits of control. We find that the corporate control model fits better than the ownership model, a negative relationship between state and employee control and firms’ investment, and evidence for the presence of soft budget constraints. A negative relationship between firms’ investment and the relative size of non‐monetary transactions strengthens the conclusion of private benefits of control impacting investment.     

TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration

This article estimates agglomeration effects via calculating EG (Elilsion & Glaeser) and TFP growth (Total Factor Production) by considering the undesired output of the industrial enterprise database and the entropy weight method. Using panel data of 207 county-level cities in China and 28 two-digit manufacturing industries from 2003 to 2013 based on SIC codes, this paper analyzes the relationship between agglomeration and TFP growth through the smooth transition model under different regions and factor-intensity. The results are as follows. (1) A negative relationship appears in manufacturing productivity. The agglomeration effect changes to the crowded effect. Environmental pollution is also generated by transportation and inadequate pollution treatment technology. (2) The excessive agglomeration phenomenon of developed areas (eastern region) is less than the less developed areas (central and western regions). (3) Resource-intensity industries present two thresholds that indicate complex regional features. For various intensive industries in different regions, the relationship between GML and agglomeration is different. High agglomeration does not always promote TFP growth. (4) At different levels of urban industrial agglomeration, the influences of efficiency change and technical change on GML are different. Overall, moderate agglomeration in all regions helps promote economic development.     

Threshold effect of economic openness on bank risk-taking: Evidence from emerging markets

This paper investigates the non-linear effects of two aspects of economic openness, namely, trade openness and financial openness, on banking system stability. We use a panel of 42 emerging markets from 2000 to 2014 to test whether bank risk-taking behaviour varies with the level of openness. We find that a higher degree of trade openness promotes bank stability linearly. Conversely, the non-linear effect of financial openness on bank risk-taking is evident. When the financial system is not sufficiently open, the impact of financial openness on bank stability is insignificant. However, as the domestic financial market becomes more open, financial openness can help discipline the behaviour of banks, making them more stable. We also find evidence that these effects are transmitted through the market discipline channel. Our findings highlight the importance of strengthening the domestic regulatory framework and transparency as the economy becomes more integrated.     

Modelling with flexibility through the business cycle: using a panel smooth transition model to test for the lipstick effect

ABSTRACT

Consumer spending typically declines during periods of economic distress, but observers have noted that lipstick purchases appear to increase during recessions, which is often referred to as the lipstick effect. However, the existence of such effect has remained empirically unconfirmed. Using weekly retail scanner data on lipstick sales from 2006 to 2016 in the United States, we applied a Panel Smooth Transition Regression (PSTR) demand model to test the relationship between economic distress and lipstick sales. This flexible demand specification allows regression coefficients to vary as a function of an exogenous macroeconomic variables and fluctuate asymmetrically, non-linearly, and time-varyingly across an unlimited number of regimes. Empirical results show the income elasticity of demand for lipstick decreased rapidly from 0.31 to 0.05 during the 2007–2009 recession, then slowly rebounded to 0.31 by the second quarter of 2014, thus first empirically confirming the existence of the lipstick effect.     

Policy uncertainty and overseas property purchases: Evidence from China

A political leadership transition occurs in China every five years. This shift in leadership is accompanied by tremendous uncertainty within Chinese society, particularly for the nation's wealthy people. Examining private residential property transaction data in Singapore, this paper reveals that the number of transactions by Chinese mainland buyers increases by half during political transitions that occurred between 1998 and 2013, in comparison to buyers from Malaysia, the US, and Hong Kong.     

How to measure competition in an economy in transition

This paper attempts to find a robust method of measuring competition when firms' operational activities are subject to frictions. The first part theoretically tests the indicative quality of two competition measures, the price‐cost margin (PCM) and the profit elasticity, in a model of monopolistic competition. The second part studies the empirical performance of the indices for a panel of Ukrainian manufacturing firms. This study offers a new approach to measuring profit elasticity that relies on structural estimation of a production function. The estimation methodology retrieves a productivity index that is adjusted to imperfect competition. The proposed method of measuring profit elasticity is found to be robust to frictions, but the PCM and traditional profit elasticity are biased, especially when the intensity of competition is low. Empirical findings show that competition exhibits a significantly positive correlation with aggregate productivity performance, while its impact on firm productivity is nonlinear.     

Trends in stock-bond correlations

Previous studies document the existence of long-run trends in comovements in the stock and bond markets. Following these findings, this article examines possible trends in stock-bond return correlations. To this end, we introduce a trend component into a smooth transition regression (STR) model including the multiple transition variables of Aslanidis and Christiansen (2012). The results indicate the existence of significant decreasing trends in stock-bond correlations for many advanced safer countries. In addition, although stock market volatility continues to be an important factor in stock-bond correlations, the short rate and yield spread become only marginally significant once we introduce the trend component. Our out-of-sample analysis also demonstrates that the STR model, including the volatility index and time trend as the transition variables, dominates other models. Furthermore, we find a significant increase in stock-bond correlations for riskier euro countries around the beginning of the euro crisis. Our findings of decreasing and increasing trends in stock-bond correlations can be considered a consequence of the decreasing effects of diversification and more intensive flight-to-quality behaviour that have taken place in recent years and after the euro crisis.     

Reserves and cash flows under stochastic retirement

Uncertain time of retirement and uncertain structure of retirement benefits are risk factors for life insurance companies. Nevertheless, classical life insurance models assume these are deterministic. In this paper, we include the risk from stochastic time of retirement and stochastic benefit structure in a classical finite-state Markov model for a life insurance contract. We include discontinuities in the distribution of the retirement time. First, we derive formulas for appropriate scaling of the benefits according to the time of retirement and discuss the link between the scaling and the guarantees provided. Stochastic retirement creates a need to rethink the construction of disability products for high ages and ways to handle this are discussed. We show how to calculate market reserves and how to use modified transition probabilities to calculate expected cash flows without significantly more complexity than in the traditional model. At last, we demonstrate the impact of stochastic retirement on market reserves and expected cash flow in numerical examples.