Lessons from a basic income programme for Indigenous Australians

This article examines the importance of basic income in supporting development and economic security in remote Australian Indigenous communities. Specifically we draw on the case of the Community Development Employment Programme (CDEP) and examine its significant basic income features: it provided economic security, flexible definitions of work, community control and a means to establish community development initiatives. We find that CDEP suited the economic and cultural circumstances of remote-living Aboriginal people whose livelihoods depend on a hybrid form of economy inclusive of customary (non-market) practices rather than market capitalism. We then trace shifts in Indigenous policy in recent times which saw the dismantling of CDEP in the name of ‘real’ employment, and we examine the consequences of this for Aboriginal people. We end by proposing the reinstatement of a more complete basic income scheme, initially for people in remote Indigenous communities in Australia who are in deepest poverty.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.     

The State as Both Regulator and Player: The Politics of Transfer of Development Rights in China

The conventional argument that the introduction of transfer of development rights (TDR) shifts the power of land use regulation from the state to the market is increasingly under challenge. In China, the state's grip on land is reinforced through TDR, in which the state is both regulator and player. This state-dominated form of TDR affects China in three ways. First, competing aspirations of different scales of government complicate how TDR is implemented. Although the central state promotes TDR to maintain a national balance of arable land, some local states instrumentalize it to expand their landed basis of accumulation. Secondly, TDR tends to benefit the state but not its people. It may increase the fiscal income of the sending government and lessen the land shortage of the receiving government, but sometimes at the expense of the interests of land users without land ownership. Thirdly, given the state's deep involvement in TDR programs, the key for China's TDR to protect arable land lies not so much in clear property rights or a fully fledged market as in effective checks and balances regarding the state's powers over TDR. These three observations attest to the embeddedness of TDR in the local political economy.     

Laying the foundations of international careers research

As an editorial to the special issue “new avenues in international careers research” this article discusses the roots of the international careers research stream, which sits at the intersection between career studies, HRM and international management. In order to support future studies in this emerging area of enquiry, we attempt to lay down the foundations of a research agenda based around what we see as the three core areas of interest: contextualised careers research, comparative careers research and careers research in internationally operating organisations. After providing some suggestions for the kinds of theoretical and methodological tools that will be required to build on these foundations, we introduce the five empirical papers that comprise this special issue.     

Institutional Monitoring: Evidence from the F‐Score

The extant literature shows that institutional investors engage in corporate governance to enhance a firm's long‐term value. Measuring firm performance using the F‐Score, we examine the persistent monitoring role of institutional investors and identify the financial aspects of a firm that institutional monitoring improves. We find strong evidence that long‐term institutions with large shareholdings consistently improve a firm's F‐Score and that such activity occurs primarily through the enhancement of the firm's operating efficiency. Other institutions reduce a firm's F‐Score. Moreover, we find evidence that, while monitoring institutions improve a firm's financial health, transient (followed by non‐transient) institutions trade on this information.     

Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system

Due to global warming, environmental consciousness and shortening product life-cycles, more attentions have been paid to ecological protection and resource utilization. Green products and production process designs significantly influence the environment and resource re-usage. The relevant EU regulations, such as WEEE and EuP, have reduced negative effects by controlling the disposals and the resource re-usage. In this study, green product designs and remanufacturing efforts are investigated when we develop an integrated production inventory model with short life-cycles. A numerical example is provided to illustrate the theory. We have shown that new technology evolution, remanufacturing ratios and system’s holding costs are critical factors affecting decision making in a green supply chain inventory control system.     

ROSA,ROSAE, ROSIS: modelling a regional open sectoral innovation system

The literature on territorial innovation modes has identified the development of a diverse set of innovation systems at multiple levels of analysis. However, there are certain gaps that do not allow their adaptation to the particularities of certain territories. Despite the multiple concepts related to innovation systems approach, the state of the art does not yet provide a useful analytical approach for a deep and comprehensive characterization of territories with a high sectoral and technological specialization. This paper introduces an analytical framework based on a regional open and sectoral innovation system, which is qualitatively tested in the Durango County (Spain). The aim of this paper is to introduce a subtype of innovation system that meets the requirements and needs of a located micro-territory with a high level of sectoral specialization.     

The Effects of Psychobiological Motivational Traits on Memory of In‐Game Advertising Messages

This study examined the influence of psychobiological motivational traits related to individual approach and avoidance tendencies on cognitive processing of in‐game advertising. Participants played a custom‐built video game containing billboard advertisements. After playing the game, participants’ approach, positivity offset (PO), and avoidance, negativity bias (NB), traits were measured using the motivation activation measure (MAM). Recognition and recall memory were greater for high PO and low NB trait individuals. The findings of this study imply that advertising in first‐person‐shooter (FPS) video games may be most effective when targeting individuals with simultaneously high PO and low NB, risk takers, but least effective for those with low PO and high NB, risk avoiders.     

Global Liquidity and Commodity Prices

While monetary easing and increasing participation of financial institutions in commodity trading have enhanced the financialization of commodity markets, this paper investigates empirically whether the impact of global liquidity on commodity prices has grown since the crisis. For each commodity group, this paper uses a structural vector autoregression (SVAR) model to address the short‐run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity on commodity prices becomes more salient since the global financial crisis. This paper also suggests a price‐based liquidity indicator has a greater explanatory power for the commodity price dynamics than monetary aggregates.