Supply‐ versus Demand‐Side Policies in the Presence of Carbon Leakage and the Green Paradox

We consider a climate coalition that seeks to reduce global emissions in the presence of carbon leakage and resource exhaustibility. We show that a credible announcement of future unilateral supply‐side policies delays foreign emissions, and we derive the optimal combination of consumer taxes and producer taxes when we consider leakages from free riders, both within periods and across periods. The tax shares generally differ over time. A decline in the present value of the social cost of carbon over time supports a time path where the consumers’ tax share of the total carbon tax also declines over time. We illustrate our findings with a numerical model.     

A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition

This work presents key insights on the model development strategies used in our cross-learning-based retail demand forecast framework. The proposed framework outperforms state-of-the-art univariate models in the time series forecasting literature. It has achieved 17th position in the accuracy track of the M5 forecasting competition, which is among the top 1% of solutions.     

Asymmetric effects of exchange rate changes on the demand for money in Africa

In order to account for currency substitution, the exchange rate is included in the demand for money. More recent studies have demonstrated that exchange rate changes could have asymmetric effects on the demand for money or domestic currency. In this paper, we consider the experiences of 18 African countries and show that in most countries, indeed exchange rate changes have short-run asymmetric effects on the demand for money. However, short-run effects translate to long-run asymmetric effects only in a limited number of African countries.     

Cryptocurrencies and Cagan’s model of hyperinflation

The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation.     

Aging Workforce,Firm Productivity and Labor Costs in Korea: Are Older Workers Costly to Firms?

Are older workers costly to firms? This study aims to investigate the relationship between an aging workforce on firm productivity and labor costs using a unique Korean firm‐level panel dataset (WPS) covering the period from 2007 to 2011. The primary results show no evidence of a negative relationship between the proportion of older workers and firm productivity, and no significant relationship between the proportion of older workers and labor costs. In addition, the findings of this study implies that failure to account for unobserved firm heterogeneity and endogeneity of changes in age structure biases the results toward finding a correlation between the age structure of workers and firm productivity and labor costs. Consequently, there is a tendency to underestimate the true value of older workers for firms.     

新形势下高职后勤党建与社区党建共驻共建模式探讨

论文对高职后勤党建与社区党建共驻共建模式的背景及基础进行综述,分析加强社区党建的重要性以及社区党建工作的现状,论述高职后勤党建工作的基础、优势与促进社区共驻共建的重要性,提出高职后勤党建与社区党建共驻共建模式,并对这种共驻共建的模式提出优化思路,以期为现代党建工作提供思路,以供参考。     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.     

A two-sector Kaleckian model of growth and distribution with endogenous productivity dynamics

This study extends a two-sector Kaleckian model of output growth and income distribution by incorporating endogenous labour productivity growth. The model is composed of investment goods and consumption goods production sectors. The impact of a change in wage and profit shares on capacity utilisation and output growth rates at the sectoral and aggregate levels are identified. The study reveals short-run cyclical capacity utilisation rates and productivity growth dynamics. Even if the short-run steady state is stable, the capital accumulation rate in the consumption goods sector must decrease more than that in the investment sector for long-run stability. When simultaneous rises in profit shares in both the sectors affect long-run aggregate economic growth differently at a steady state, the distributional interests between the same class in different sectors may hamper the long-run economic growth. A policy message is that the effect of income distribution on industrial output growth is not always beneficial. These phenomena are specific to two-sector models and cannot be observed when using conventional aggregate growth models.     

高职院校工学结合“双师型”青年教师队伍建设的探讨

为了满足人才市场的需求,高职院校采用工学结合的教学模式,进一步培养技能型人才,因此需要加大力度建设"双师型"青年教师队伍。没有高水平的教师队伍,就培养不出高素质的技能型人才。本文通过分析高职院校"双师型"青年教师队伍建设的现状,及存在的问题,提出相应的政策建议。     

The impact of German-speaking online media on tourist arrivals in popular tourist destinations for Europeans

This empirical study analyzes the relationship between the sentiments in online media with regard to travel destinations and corresponding tourist arrivals. We expect the media reports on political and economic instability and turmoil to enhance tourist arrival nowcasts and forecasts, as they can probably complement them with information on disruptions and shocks. Therefore, we believe this research will help to build better models for tourism demand nowcasting and forecasting. We use the sentiment in the German-speaking online media because the German-speaking region is the most populated in Europe and has the largest group of travelers visiting destinations in and around Europe.

An artificial neural network is used to analyze the mood of the media. The software classifies news items regarding potential tourist destinations with either positive or negative labels. The number of positive and negative news items is used to build sentiment indices for popular tourist destinations for Europeans.

Our results show strong correlations between the mood concerning tourist destinations and tourist arrivals in these countries. Indeed, disruptions and shocks prevalent in the news are reflected in similar ratios in both tourist arrivals and sentiment indices. These results can be used as a new explanatory variable for tourism demand modelling.