越南税收行政改革

该文分析了越南税收行政改革取得的突破性进展,提出了新时期税收行政改革的基本方向和措施。     

我国海南黄花梨资源与开发研究

[目的]海南黄花梨列为国家保护的濒危树种,是热带珍贵树种,木材资源稀少,材质好。为开发海南黄花梨资源,发展经济效益较高的海南黄花梨种植业。[方法]文章论述了海南黄花梨的生长条件和分布情况,并对海南黄花梨资源匮乏因素和海南黄花梨资源开发可行性进行分析。[结果]认为海南黄花梨种植开发前景好,可持续提升乡村绿色经济,经济效益显著,可广泛种植于我国海南、广西、广东、云南、福建、贵州等热带亚热带地区。[结论]建议我国热带亚热带地区结合立地环境实际,科学规划种植海南黄花梨,利用坡地、荒地、零星土地、边角地和房前屋后地,农村村间道路,园林绿化、小公园、小游乐园的绿化地带开发种植海南黄花梨,造就具有地方特色的海南黄花梨经济发展带及景色和景点,增加林木经济资源,增添农村绿色财富。同时,营造全民爱花梨的良好社会舆论氛围,加强海南黄花梨保护,为海南黄花梨发展提供法治保障。     

Racial/ethnic match and student–teacher relationships

This paper explores the role of teacher race/ethnicity in the teacher-perceived relationships with kindergarten and early elementary school students. Employing a model with both student and teacher fixed effects, we discover a positive link between the racial/ethnic match and the teacher-reported relationships with students. Specifically, minority students tend to have closer relationships with their teachers when they are taught by a minority teacher. Our analyses also provide suggestive evidence that the effects on the teacher–student relationships could not be driven by differential racial discrimination between white and minority teachers. Particularly, white and minority teachers are not differentially biased in judging their relationships with minority students, implying that the source of the racial/ethnic interaction effects is likely to come from the role modeling of behaviors. Given the importance of the relationships between young children and nonparental adults in their early stages of life, these findings have crucial policy implications.     

Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

Trade diversion effects of the US–China trade war on Vietnam

This paper empirically examines the US–China trade war that began in mid-2018, focusing on the impact on a third country, Vietnam. Using regression analysis, we found that while the trade war had a negative impact on US imports from China for all targeted products, there was a partial offset from increased imports from other countries. Notably, US imports from Vietnam experienced a sharp increase, particularly after the third round of US import tariffs on Chinese goods. Additionally, our research reveals that the four rounds of tariff escalation affected US imports from China differently depending on their end-use and technology intensity.     

Innovation in Labour Organisation and Social Conditionality: Implications for Farm Advisory Services

There is growing concern about the evolution of working conditions for employees on European farms. In the new Common Agriculture Policy (CAP), financial support to farmers will soon be subject to a social conditionality clause. As a result of this change in CAP regulations, in this paper we ask if the need for specific advice can already be foreseen? Examining recent investigations that focused on new forms of labour organisations on farms can help to answer this question. Investigations were conducted across France, combining qualitative field studies with a comprehensive analysis of statistical and administrative data. The results show a growing complexity of farm labour organisation that generates needs for new types of advice. In particular, an increasing proportion of the people working on farms are employed by another organisation (foreign and domestic service providers, employers’ alliances, etc.). The administrative data provides strong evidence of the scale of this trend which has little visibility in the agricultural census data. We should therefore be cautious about oversimplified representations of labour patterns at farm level. They can distort policy design, implementation and assessment by overlooking a part of the worker population and needs for new types of advice, including those that will be required to meet social conditionality requirements.     

The impacts of women's land ownership: Evidence from Vietnam

Women's equal access to and control over economic resources such as land are integral to achieve gender equality and sustainable economic development. This study evaluates the impacts of women's land ownership on various women's and household's outcomes in the context of Vietnam. We discuss the beneficial effects of allowing women to own more land on both women and their families. In particular, there is a positive association between women's land ownership and intra-household bargaining power in various aspects. In particular, the relationship is the strongest for women's autonomy in decisions regarding their children. It is also easier for land-holding women to formally access credit and invest in human capital. We further study the favorable effects of women's land ownership on their families in terms of spending and saving behaviors. Finally, women's land ownership also contributes to household social capital. These findings lend support to the passage and implementation of laws intended to grant women equal rights to the ownership and control over land.     

Effects of audit committee chair characteristics on auditor choice,audit fee and audit quality

We investigate whether the characteristics of audit committee (AC) chairs are associated with decisions about auditor choice, audit fees and audit quality. Using hand-collected Australian data, firms with AC chairs who have longer tenure and multiple AC memberships across several boards are found to be more likely to choose Big 4 and/or industry specialist auditors, pay higher audit fees and have lower discretionary accruals. Those AC chairs with higher business qualifications are more likely to hire a Big 4 auditor, pay higher audit fees and have lower discretionary accruals, while AC chairs with professional qualifications are more likely to hire a Big 4 and/or industry specialist auditor. In contrast, firms with AC chairs who are executive directors are less likely to hire a Big 4 auditor and have higher discretionary accruals. Our findings contribute to the literature by documenting that various characteristics of AC chairs are important for enhancement of auditor selection and audit quality.