Foreign investment,corporate governance and performance in the Chinese listed A Share companies

We present a novel lens on the presence and impact of qualified foreign institutional investors (QFII) in top shareholdings of the non-financial domestically listed Chinese ‘A’ share firms. The initial results suggest that the presence of a QFII as a top shareholder in these companies is associated with their better performance, using both Tobin’s Q and ROA as the performance measures. Our models include variables representing corporate governance mechanisms, foreign legal person shares, a proxy for international affiliations and a number of time-variant firm characteristics. Economically, the coefficient of impact on the market measure is the more significant, while the effect of having a QFII in top shareholdings on both performance measures is empirically significant. Previously, studies have often ignored the potential for reverse causality beyond using lagged regressors. This is problematic. Therefore, we follow up with a 2SLS instrumental variables and system GMM model to further mitigate this potential and find the empirical relationship holds. Contrary to earlier work on QFIIs and governance post-implementation of the QFII scheme, the findings from our models suggest that the presence of a QFII top shareholder augments market performance holding equal existing corporate governance mechanisms and other controls.     

Automatic extraction of 1D barcodes from video scans for drone-assisted inventory management in warehousing applications

The widespread use of barcodes has significantly contributed to accurate, efficient and economic inventory management in warehouses and distribution centres. However, its efficiency has always been limited by the primary method of reading barcodes with a handheld laser scanner. Compared with this reading by line-of-sight at close proximity, vision-based barcode reading algorithms can further improve efficiency, particularly if accompanied by automated data collection platforms such as drones. This paper introduces algorithms that are able to automatically extract barcodes from video data, and verifies their feasibility and promise for inventory management in warehousing applications. Three key techniques corresponding to different recognition levels are proposed: For a known barcode region, a Harris corner detector and Hough transform-based algorithm is applied to quickly estimate the angle by which the frame area needs to rotate to orient the bars vertically for information extraction. Then, the idea of exploiting connectivity and geometry property of barcode areas is proposed to directly recognise multiple barcode regions in a single video frame to eliminate reading difficulties resulting from interactive influence of multiple juxtaposed barcodes, and to save computation time by only processing frame areas of interest for valid barcodes. In addition, a histogram difference-based fast extraction strategy is designed to further improve efficiency by reducing duplicate information processing. Finally, the performance of each technique is evaluated by analysing video data from a large logistics warehouse, demonstrating satisfactory performance in inventory management applications.     

Price Effects on Compound Commodities

We examine the effect of simultaneous price changes on the total demand for a group of goods, which we call a compound commodity. Specifically, we consider unit and proportional cost components (e.g., taxes, transportation costs) imposed on compound commodities. If the unit cost is positive, then the proportional cost raises the relative price of the more expensive good, and thus induces substitution towards the less expensive good within this group. Then, the substitution effect of the proportional cost for a compound commodity is non‐negative if and only if the compound commodity and the other goods are, on average, not strongly substitutable.     

The emergence of new Islamic economic and business moralities

This article aims to explore the sources of the observed transformation in the embeddedness of economic, business, and financial practices of Muslim individuals in comparison to premodern period Muslims. It argues that the predomination of instrumental reasoning in modern times, as opposed to substantive morality in everyday practice, is one of the main reasons behind the transformation of embeddedness of Muslim individuals. Instrumental reasoning, being the dominant methodology, leads to diminished submergence in social relations; that is not limited to interpersonal relationships, but further extended to the core religious acts. How such an emergent economic and business morality is reconciled with the Islamic substantive morality is examined. It is argued that “transformation of exception into norm” is the main method used to reconcile instrumental reasoning with Islamic law in fulfilling religious obligations, at least in terms of fulfilling the form and in complying with the necessities of modern life. This has led to the emergence of new economic and business moralities.     

地方财政压力与投资多样性——基于所得税分享改革的研究

利用企业所得税分享改革构建强度倍差模型，使用1997—2012年全国地级市数据，检验了地方财政压力对于投资多样性的影响及相关传导机制。结果表明，地方财政压力不利于投资多样性的提高；在财政压力下，地方容易形成偏向房地产行业的投资倾向。然而，不同地区地方财政压力对投资结构的影响存在异质性。经济发展水平较低的地区在财政压力下更容易降低投资多样性；而经济发展水平高的地区应对财政压力时，更倾向于通过多元化投资的方式做大税基、减轻财政压力。优化分税制结构、建立地方性税种能缓解地方财政压力，对于改变地方“房地产集中型”投资结构有一定的积极作用。     

Loss and damage: a critical discourse analysis of Parties’ positions in climate change negotiations

The years-long negotiations on loss and damage (L&D) associated with climate change impacts reached a milestone with the adoption of the Paris Agreement, sanctioning the permanence of the Warsaw International Mechanism (WIM) created in 2013. The WIM aims at advancing knowledge gathering, coordination and support to address L&D associated with extreme and slow onset events in vulnerable developing countries (Decision 2/CP.19). Despite being among the most controversial issues to be recently treated in climate change negotiation, L&D has attracted little attention in the field of international relations. This paper aims at addressing this gap by reconstructing the emergence and evolution of the negotiating positions on L&D of developing and developed countries. It employs a critical discourse analytical approach and builds on Fairclough’s three-dimensional framework for critical discourse analysis, taking decision 2/CP.19 as the core communicative event. Consistently, the decision is analysed at three different levels: as a text (micro-scale); as a discursive practice (meso-scale); and as a social practice (macro-scale). The analysis makes use of a wide range of materials including previous decisions, High Level Segment statements and Parties submissions. It reconstructs Parties’ conflicting views on the positioning of L&D vis-à-vis the adaptation space (L&D as a part of, or as beyond adaptation) and the scientific, ethical and legal arguments employed to support these standpoints. It highlights, in particular, the strategic importance which the ‘compensation argument’ had in determining developing countries’ capacity to influence the UNFCCC process up to the inclusion of a specific article on L&D in the Paris Agreement. While calls for compensation might have lost momentum as a result of the Warsaw and Paris talks, the paper argues that their potential is far from exhausted. They in fact imply a more general request for climate justice which the UNFCCC has not yet addressed.     

基于生态足迹模型的湖北省农业资源开发评估

[目的]农业资源是人类生存发展的重要物质基础,对维持社会经济的可持续发展具有主导作用。评估湖北省农业资源的开发利用状况,为今后统筹资源利用和社会经济协调提供理论依据,以期提出可行性建议。[方法]采用生态足迹模型,计算了2009—2015年湖北省的人均生态足迹和人均生态容量及生态赤字,分析了该省各土地利用类型的人均生态足迹组分变化和各项农业生物资源和能源资源的开发状况,对资源开发总体形势展开了评价。[结果] 2009—2013年湖北省人均生态足迹逐年递增,2014和2015年明显降低,但人均生态足迹远高于人均生态容量。能源用地、建筑用地和草地构成了湖北省人均生态足迹的主体,且开发强度呈上升趋势。其中,玉米、小麦、稻谷、蔬菜以及各类畜产品和水产品,部分能源资源的开发强度增强。[结论]湖北省对农业资源的开发已超过生态系统的供给能力,严重威胁到生态系统的稳态,土地资源的承载力面临较大压力。全省需要从改变消费和生产方式,调整产业结构,优化土地利用类型,合理布局土地利用规划,发展高效农业资源利用模式等方面入手,提高农业资源的开发效率,降低人均生态足迹,维持生态容量。保证全省休闲农业与乡村生态旅游事业健康发展。     

中国土地信息学30年发展研究

研究目的:明确土地信息学核心研究内容和学科地位,系统总结1980—2017年中国土地信息学研究的重要进展,划分土地信息学发展的主要阶段及各个阶段重要成果,指出土地信息学未来研究的方向和重点。研究方法:理论归纳法和文献计量法。研究结果:土地信息学是以权籍为核心、土地信息为对象,研究土地信息获取、分析、处理、存储与表达的理论、方法与技术的一门学科,服务于土地调查、评价、规划、利用、整治和保护等信息共享与决策支持。中国土地信息学发展可划分为起步阶段(1980—1995年)、关键技术应用阶段(1996—2006年)与稳步加速发展阶段(2007—2017年)三个阶段。研究结论:未来土地信息学应树立大权籍观,围绕权籍信息采集、管理、分析、表达、安全、标准等问题,研究快速、高效、精准的多元土地信息获取技术;研究土地信息的标准化、安全组织、数据交换和共享管理机制和技术;开展土地信息数据的深度挖掘分析、综合表达、集成应用技术,以及大数据、云计算、人工智能在土地信息学中的应用技术等。     

Do telecom carrier takeovers create value? Longitudinal analysis of U.S. telecom carrier takeovers from 1996 to 2005

Takeovers by telecommunications carriers have surged during between 1996 and 2005, stimulated by the Telecommunications Act of 1996. In this study, we hypothesize and test the short-term and long-term performance of telecommunications carrier mergers and acquisitions (M&As) between 1996 and 2005 according to three main categories (strategic types, bidder characteristics, and payment methods). For short-term performance, this study investigates abnormal market returns of bidding firms after M&A announcements and our study shows that telecommunications carrier M&A announcements do result in a significant increase in shareholder wealth in the short run. However, from a long-term perspective, which has been investigated in terms of the survival rate and the operating performance after M&As, the telcos experience a statistically significant decrease of up to 10%. The results also show that though strategic type, bidder characteristics, and payment method play an important role in the value creation of M&As in the short term, only the bidder size matters in the success of M&As over a long period of time.