碳排放交易制度的节能减排路径：效率提升还是结构转型？——来自中国省级数据的准自然实验

以中国2013年以来实行的碳排放交易试点政策作为准自然实验事件，基于2000-2017年中国30个省市的面板数据，运用双重差分法实证检验碳排放交易制度的节能减排效应及影响机制。研究发现，碳排放交易制度有利于实现中国经济“节能”与“减排”的双重目标，并通过了一系列稳健性检验；作用机制检验表明，能源效率提升和能源结构转型都是碳排放交易制度实现节能减排目标的重要路径；能源效率提升在碳排放交易制度实现“节能”和“减排”中分别发挥了10.19%和5.93%的作用，而能源结构转型分别发挥了48.87%和52.95%的作用。这意味着中国碳排放交易制度实现节能减排的主要动力来自能源结构转型，而非能源效率提升。能源结构转型涉及问题更加宏观和深层，这为中国加快推进节能减排进程，特别是完成2030年碳达峰和2060年碳中和的国际承诺提供政策启示。     

Media coverage and investment efficiency

We examine the effect of media coverage on firm-level investment efficiency. We find that media coverage reduces under-investment but increases over-investment. The negative effect of media coverage on under-investment is more pronounced in firms affected by greater information asymmetry and poorer corporate governance. The positive effect of media coverage on over-investment is driven by media-induced CEO overconfidence. Additional results show that both investment- and non-investment-related news coverage decrease under-investment, while non-investment-related news coverage is more influential in increasing over-investment. In general, higher news optimism is associated with less under-investment but more over-investment. Moreover, media coverage affects investment efficiency through its information dissemination rather than information creation function. Collectively, our results suggest that firms’ media visibility promotes more over-investment than under-investment.     

集中连片特困地区扶贫产业发展的规模特征及其经济效率评价——以武陵山片区恩施自治州为例

[目的]在扶贫开发战略中成长起来的特色产业已经成为贫困地区经济发展和农民脱贫致富的支柱产业,特色产业的规模和经济效率直接决定着贫困地区脱贫致富能力。[方法]文章以茶叶、蔬菜代表武陵山片区湖北省恩施自治州扶贫产业,利用集中度指数、扩张弹性系数、单位面积的产值能力和产量能力以及单位产量的产值能力等指标进行扶贫产业发展的规模特征及其经济效率评价。[结果]“十一五”期间以来武陵山片区扶贫产业发展的产业地位逐渐提高、规模扩张优势显著、规模收益递增、投入规模扩张率高于产出规模扩张率、资源配置效率不断提高,比较经济效率差距持续扩大。[结论]扶贫产业亟待根据产业发展的生态化、集聚化和融合化等趋势,在规模扩张中强化特色产品的品质建设和效率优势品种生产专业化程度、提高生产技术水平以及完善产业化组织及其能力建设,提高扶贫产业的经济效率和致富能力。     

Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

互联网背景下工商管理模式的创新发展研究

随着信息时代的到来,互联网技术在各个行业的应用也越来越普遍,这也为我国经济的发展提供了非常有利的条件。工商管理模式的创新实践是现代企业经营管理中的核心内容,工商管理模式将直接影响企业在日常经营中解决各种管理问题的效率,是企业稳定持续发展的重要指标。因此,企业的管理者应该合理地运用现代化信息技术,提升企业工商管理的水平,实现企业的健康稳定发展。     

IFRS adoption and stock misvaluation: Implication to Korea discount

Analyzing publicly traded stocks in Korea surrounding IFRS adoption in 2011, we find that the gap between stock price and firm value, value-to-price (V/P) ratio, narrows following the IFRS adoption and that this narrowed gap is observed only for higher V/P firms. We further find that the return predictability of V/P decreases in the post-IFRS period. Using a path analysis, we report further evidence that mandatory IFRS adoption decreases idiosyncratic volatility and improves trading volume and market liquidity, thereby contributing to the narrowed gap between value and price. We conclude that IFRS adoption contributes to resolution of Korea discount.     

Overcapacities in banking: Measurement,trends and determinants

Global banks face profitability challenges since the global financial crisis. Besides cyclical factors, structural features such as overcapacities have been identified as root causes. While policymakers agree on the need for bank consolidation, there is less consensus on the definition and measurement of overcapacities in banking. This paper contributes by conceptualising and formalising the different dimensions of overcapacities in banking and by constructing a novel measure thereof. In addition, it empirically tests the main determinants of overcapacities in banking from 2006 to 2017 and assesses their relative importance. The results indicate that non-bank competition, the interest rate environment and bank business models are the most important driving factors of banking sector overcapacities. This is because shadow banks, benefitting from regulatory arbitrage, have altered banks’ capacity needs, low rates compressed margins and increased pressure to improve cost efficiencies, and retail-oriented business models have operated extensive branch networks entailing heavy fixed costs.     

国有企业双重目标与投资效率改进——基于独立董事网络和国企混改视角

立足国有企业具有社会和经济双重目标的理论逻辑,本文选取2007~2016年A股国有上市公司作为研究样本,分析了独立董事网络和国有股比例对投资效率的影响以及调节效应。研究发现:独立董事网络降低了国有上市公司的投资效率,较高比例的国有持股抑制了投资效率,但当国企更加关注经济目标时,则有助于改善投资效率;进一步研究发现,相比于特定功能类企业,独立董事网络在商业竞争类企业中发挥投资效率的改善作用更加显著。因此,独立董事应因地制宜在国企中发挥治理作用;政府应分类推进国企混合所有制改革;竞争性国企应引入较大比例的优质民营资本,优化投资决策、提高投资效率。     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.     

Are betting returns a useful measure of accuracy in (sports) forecasting?

In an economic context, forecasting models are judged in terms not only of accuracy, but also of profitability. The present paper analyses the counterintuitive relationship between accuracy and profitability in probabilistic (sports) forecasts in relation to betting markets. By making use of theoretical considerations, a simulation model, and real-world datasets from three different sports, we demonstrate the possibility of systematically or randomly generating positive betting returns in the absence of a superior model accuracy. The results have methodological implications for sports forecasting and other domains related to betting markets. Betting returns should not be treated as a valid measure of model accuracy, even though they can be regarded as an adequate measure of profitability. Hence, an improved predictive performance might be achieved by carefully considering the roles of both accuracy and profitability when designing models, or, more specifically, when assessing the in-sample fit of data and evaluating out-of-sample forecasting performances.