新中国初期中国共产党对城市基层社会组织重构的历史启示

新中国初期,中国共产党对城市基层社会组织进行了大规模的重构,并且取得了巨大成功.通过对新中国初期城市各类基层社会组织重构进程的历史考察,我们可以得到以下几方面的启示:强势政权的建立、政权组织的下移与城市基层政权组织的强化是当时成功实现城市基层社会组织重构的基础与前提;城市基层社会的全面组织化是当时实现城市社会整合的强大...     

The antecedents of early internationalization: A configurational perspective

The literature on international business and international entrepreneurship provides multiple explanations for early internationalization. Using fuzzy-set qualitative comparative analysis, this study examines the antecedents of early internationalization for small firms based in a small economy, focusing on entrepreneurs’ attitudes toward the economic opportunities available in their domestic market, the risk of internationalizing, and the profitability of entering foreign markets. Three additional antecedents are examined: unsolicited orders, existence of underutilized capacity, and the behavior of competitors. The study uncovers three distinct combinations of antecedents that are equifinally linked to the early internationalization of small enterprises, and contributes to the literature through a multi-causal, configurational approach.     

技术性贸易壁垒对我国农产品出口的影响与对策

21世纪以来我国农产品贸易增长迅速,正逐步迈向农产品贸易大国。但在农产品出口贸易量连续增长的同时,国外对我国农产品设立的技术性贸易壁垒也呈现出增长的态势,技术性贸易壁垒已经成为阻碍我国农产品出口的第一大非关税壁垒。因此,深入剖析当前技术性贸易壁垒对我国农产品出口贸易造成的消极影响,并提出相应对策,有利于我国农产品出口贸易的发展和农产品出口竞争力的提高。     

Rice Price under Pressure

Early in April, the FOB (Free on Board) value of rice exported from Bangkok, Thailand, the biggest rice exporter of the world, surged to a new high of US$730per ton, representing an increase of 70 percent in recent years, and setting a new record over the past 34 years of Thailand rice exports.     

试论ECFA原产地规则之构建——以中国区域贸易实践为视角

《适用于货物贸易早期收获产品的临时原产地规则》作为《海峡两岸经济合作框架协议》的一项阶段性成果,保障了彼此间的优惠关税待遇,也避免了其他国家或地区的免费搭车。然而其毕竟适用范围有限,规则设定局限。笔者认为应当结合我国区域贸易实践,制定适合两岸经贸发展的ECFA原产地规则。     

Upper echelons and portfolio strategies of venture capital firms

In this study we analyze how the composition of the top management team (TMT) influences the portfolio strategy choice in venture capital (VC) organizations. We develop a model of risk perception to investigate how education and experience of TMT members impact whether VC organizations invest with a focus on early stage ventures or not, specialize or diversify across industries, and invest with a broad or narrow geographic scope.Evaluation of data on TMTs and portfolio strategies of 136 European VC firms revealed that VC firms with higher proportions of TMT members with science/engineering education and entrepreneurial experience more likely invest with an early stage focus. Furthermore, TMTs with more management education diversify their portfolios more across industries. Finally, the more international experience TMT members of VC organizations have, the broader the geographic scope of investees. We discuss the implications of our findings for the VC literature.     

Valuing executive stock options: performance hurdles, early exercise and stochastic volatility

Accounting standards require companies to assess the fair value of any stock options granted to executives and employees. We develop a model for accurately valuing executive and employee stock options, focusing on performance hurdles, early exercise and uncertain volatility. We apply the model in two case studies and show that properly computed fair values can be significantly lower than traditional Black–Scholes values. We then explore the implications for pay-for-performance sensitivity and the design of effective share-based incentive schemes. We find that performance hurdles can require a much greater fraction of total compensation to be a fixed salary, if pre-existing incentive levels are to be maintained.     

The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

Tackling an accounting coursework assignment - action research on the student perspective

The study focused upon first year undergraduates' experiences and perceptions of a major coursework assignment in accounting. The context was a modular programme with several hundred students from many different courses taking a common first year, first semester introductory accounting module. In the role of a reflective practitioner, the author adopted an action research approach, and gathered various forms of evidence including in-depth interviews with four students at key points during and after completion of their courseworks. The main issues highlighted were: (1) the effect which the university, as a new environment, has on learning in the early weeks of a course, and the fractured nature of learning in a semesterized course; (2) the personal strategies which students adopt for scheduling time on coursework, and the way in which this may differ from the expectations of staff; (3) the variety of learning approaches represented within the student group. These issues are reflected upon and implications for both the author's practice and for other practitioners are considered.     

Systemic financial risk early warning of financial market in China using Attention-LSTM model

We propose an Attention-LSTM neural network model to study the systemic risk early warning of China. Based on text mining, the network public opinion index is constructed and used as a training set to be incorporated into the early warning model to test the early warning effect. The results show that: (i) the network public opinion is the non-linear Granger causality of systemic risk. (ii) The Attention-LSTM neural network has strong generalization ability. Early warning effects have been significantly improved. (iii) Compared with the BP neural network model, the SVR model and the ARIMA model, the LSTM neural network early warning model has a higher accuracy rate, and its average prediction accuracy for systemic risk indicators has been improved over short, medium and long terms. When the attention mechanism is included in the LSTM, the Attention-LSTM neural network model is even more accurate in all the cases.