The land sparing – land sharing controversy: Tracing the politics of knowledge

Feeding 9 billion people by 2050 on one hand, and preserving biodiversity on the other hand, are two shared policy goals at the global level. Yet while these goals are clear, they are to some extent in conflict, because agriculture is a major cause of biodiversity loss, and the path to achieve both of them is at the heart of a public controversy around ‘productive’ land use and biodiversity conservation. Over the years, the scientific, policy, civil society and agri-business communities have been engaged in producing evidence that can support a land sparing policy (separating intensive agricultural production from biodiversity conservation) or a land sharing policy (integrating the two in larger and more extensive landscapes). This paper contributes to this debate by analyzing land sparing and land sharing (LSS) as a socio-technical controversy. Through the analysis of large and small corpora of scientific, policy, corporate social responsibility and sustainability standards documents we explore the ethical underpinnings and social networks that support the opposing sides of this controversy. We explore these linkages in order to explain how the concept of land sparing achieved dominance in the scientific literature and how the concept has been taken up in international policy, business and civil society circles. We examine the convergences and divergences in alliances between actors in this controversy in order to map how specific actors have promoted the concept of land sparing as the best way to used land for biodiversity and food production.     

The Brexit effect: the case of UK ADR performance one year later

In an unexpected outcome, UK voters decided that it was time to exit the European Union based on the results of a vote held on 23 June 2016. Studies of the affects and implication of Brexit include a study showing that the vote was met with a negative short-term wealth effect for UK American depository receipts (ADRs). This study examines the one-year anniversary holding period returns of these ADRs along with the British Pound and the FTSE 100 to discover any lingering effects from the historical vote. Results indicate that the one-year holding period returns for the ADRs averaged 5.8% for the year while the FTSE gained 4.8%, the S&P 500 gained 15.4% and the Pound lost 13.2% of its value.     

A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth

This paper estimates a three-frequency dynamic factor model for nowcasting the Canadian provincial gross domestic product (GDP). The Canadian provincial GDP at market prices is released by Statistics Canada annually with a significant lag (11 months). This necessitates a mixed-frequency approach that can process timely monthly data, the quarterly national accounts, and the annual target variable. The model is estimated on a wide set of provincial, national and international data. In a pseudo real-time exercise, we find that the model outperforms simple benchmarks and is competitive with more sophisticated mixed-frequency approaches (MIDAS models). We also find that variables from the Labour Force Survey are important predictors of real activity. This paper expands previous work that has documented the importance of foreign variables for nowcasting Canadian GDP. This paper finds that including national and foreign predictors is useful for Ontario, while worsening the nowcast performance for smaller provinces.     

Ethnic discrimination in hiring,labour market tightness and the business cycle - evidence from field experiments

Several studies using observational data suggest that ethnic discrimination increases in downturns of the economy. We investigate whether ethnic discrimination depends on labour market tightness using data from correspondence studies. We utilize three correspondence studies of the Swedish labour market and two different measures of labour market tightness. These two measures produce qualitatively similar results, and, opposite to the observational studies, suggest that ethnic discrimination in hiring decreases in downturns of the economy.     

Corporate Real Estate Sale and Leaseback Effect: Empirical Evidence from Europe

Corporate real estate disposals have increased in Europe during the past few years. In this research paper, we study market reactions of publicly traded European companies' real estate sale and leaseback announcements during 1998–2004. This study is one of the first ones to study the sale and leaseback impact on corporate value with a pan‐European data. We find that the sale and leaseback announcements have on average positive impact to firm's value which is in line with the previous studies. However, we also find that the positive effect is mainly caused by the deals with high transaction value to company market value ratio. Smaller transactions do not create on average any abnormal returns. Our results support the hypothesis that the positive sale and leaseback announcement effect is a consequence of revealed hidden value of the company's assets. Thus, sale and leaseback can also be seen as a mechanism for revealing the hidden value of company's assets to the market.     

基于DEA模型的贵州区域科技投入产出效率研究

科技水平是经济发展的重要指标,科技的投入产出效率直接关系到科技的发展。以贵州2014-2016年的科技投入产出数据为样本,运用DEA方法对贵州各区域进行相对绩效评价。结果显示：贵州各市（州）科技投入产出综合效率、纯技术效率和规模效率均存在明显改善的趋势,其中综合效率DEA有效的决策单元占比从33.3%提高到了44.4%,但各市（州）之间的纯技术效率存在较大差异。贵州各区域应加强对科技资源的合理配置,注重基础研究,完善科技成果的转换机制。     

Sustainable humanitarian supply chain management – exploring new theory

Disaster response operations aim at helping as many victims as possible in the shortest time, with limited consideration of the socio-economic context. During the disaster rehabilitation phase, the perspective needs to broaden and comprehensively take into account the local environment. We propose a framework of sustainable humanitarian supply chain management (SCM) that facilitates such comprehensive performance. We conceptualise the framework by combining literature from the fields of sustainable and humanitarian SCM. We test the framework through an analytic induction process by means of multiple case studies of four relief organisations. Our framework suggests that supply chain design needs to be aligned not only to relief organisations’ enablers, but also to the population's long-term requirements as well as any socio-economic and governmental contingency factors. A good fit between these dimensions leads to sustainable performance. The framework provides an instrument for relief organisations to achieve sustainable performance in the disaster rehabilitation phase.     

Empirical studies of trade marks – The existing economic literature

This paper surveys empirical studies employing trade mark data that exist in the economic literature to date. In the introductory section we summarise the theory of trade marks. Section 2 documents the use of trade marks by firms of different size and industry and by firms in several advanced countries, including Australia, the UK, and the USA. Section 3 reviews various attempts to gauge the function of a trade mark as an indicator of innovation and product differentiation. Section 4 surveys studies that have demonstrated firms' incentives to use trade marks, including transferring information to consumers, realising synergies between different types of intellectual property rights, strategies to raise rivals' costs and using trade mark portfolios as debt collateral. In Section 5, we provide an overview of the importance of trade-mark-use for firm survival and the association of trade marks with several dimensions of firm performance, including productivity and their ability to generate well-paid jobs.     

Exploring expanding expertise: artificial intelligence as an existential threat and the role of prestigious commentators, 2014–2018

The post-2010 technological resurgence in artificial intelligence (AI) was followed by a series of public warnings by prestigious intellectuals, scientists, and entrepreneurs presenting AI as an existential threat. While their expertise in other fields is undeniable, their knowledge of AI remains questionable. With expert studies as a theoretical point of departure, the empirical data collected narrate the events which systematically shaped this view between 2014 and 2018. This chronology captures the interplay between such statements by ‘expanding experts’ in the press and traces their impact on governmental policy documents in the EU, UK, and US, while highlighting the overall absence of experts in these debates. The conclusions recommend the inclusion of AI experts in relevant policymaking schemes and the further exploration of the networks between such prestigious individuals, the purposes and origins of emerging future/risk studies institutions, and their impact on AI R&D in the long run via empirical means.