Does R&D spur productivity growth in Australia’s broadacre agriculture? A semi-parametric smooth coefficient approach

This article analyses the role of research and development (R&D) in Australia’s broadacre farming by using the semi-parametric smooth coefficient model. While the conventional production function approach only captures the direct effects of R&D, this methodology captures both the direct impact of a change in R&D on output and the indirect impact through changes in efficiency of use of factor inputs in the production process. Moreover, technical inefficiency is introduced in the model allowing it as a function of R&D. Using a unique state-level dataset covering the period 1995–2007, this empirical study finds that once both the direct and indirect effects are taken into consideration, R&D investments significantly increase outputs. The results also show that there are substantial variations in the effects of R&D on output across the state-level average farm through technology parameters as well as through technical inefficiency. Such variations need to be taken into account when designing policies for investing public R&D in agriculture.     

Government debt and economic growth in the G7 countries: are there any causal linkages?

This article investigates the direction of Granger-causality between debt and growth in the G7 countries using quarterly data from 1980 to 2013. We analyse the causal structure both in level data using the Toda and Yamamoto causality test, and with differenced data by means of dynamic impulse response analysis. Results indicate that growth causes debt rather than the other way around. We find the effect of growth on debt to be unambiguously negative in all cases of significant causality, but to be a short- to medium-run phenomenon with no lasting impact. We also find that results are sensitive to the sample period, with causality from growth to debt much more prevalent when the sample period includes the recent financial crisis.     

Measuring technical efficiency of banks vis-à-vis demonetization: an empirical analysis of Indian banking sector using CAMELS framework

Quality & Quantity - The present paper examines the banking industry’s technical efficiency for the pre-and post-demonetization period, using the case of India. A two-stage analysis has...     

The welfare implications of COVID-19 for fragile and conflict-affected regions

Understanding the ramifications of the COVID-19 pandemic for households' welfare in regions subject to fragility, conflict, and violence (FCV) is important to inform programs and policies in this context. Harmonized data from high-frequency phone surveys indicates that, at the onset of the pandemic, a higher fraction of respondents in FCV regions relative to non-FCV ones faced adverse household income changes and reported to have stopped working since the outbreak of the crisis. On top of that, households in FCV regions were far less likely to have received government assistance than those in non-FCV regions. These findings suggest that, at the start of the COVID-19 pandemic, there was a widening of the preexisting economic gap between FCV and non-FCV regions, raising the recovery bar for the former.     

Strategic default,multiple installments,and the role of informal moneylender in microcredit contract

I model the role of strategic defaults and informal moneylenders on multiple-installment loan contracts offered by microfinance institutions (MFIs). The results show that a single-installment loan is not viable due to MFIs' vulnerability to strategic defaults and borrowers' lack of collateral. In contrast, a multiple-installment contract requires borrowers to borrow from the moneylender, who is immune to strategic default, in order to repay the MFI's early installments that are due before the project yields a return. Consequently, both default costs and borrowing costs increase and incentives to commit strategic default decline, making the multiple-installment contract profitable for MFIs.     

‘If there is nothing else there is teaching’: Professional identity of preservice teachers in Pakistan

Coupled with developing required knowledge, skills and attitude, preservice teacher education is said to influence professional identity of a student teacher. This research aimed to understand professional identity development of prospective teachers who recently completed their 4-year preservice teacher education programme in a public university in Pakistan. To achieve the stated purpose, the research used a case study approach and collected data through semistructured interviews from five preservice teachers who recently completed their preservice education. The data suggested that moral purpose in teaching was the most influential factor in teacher identity development in this region. In addition, the status of teachers in the region, teaching practice, workplace relationships and prospective teachers' own agency influence the way they shape and reshape their professional identity. Although unexplored through a systematic research, teacher identity has been a frequently discussed topic in the context of Pakistan. This paper reports the voices of unheard and less recognized individuals (teachers) from a remote region of Pakistan. It brings forth some significant insights such as the moral purpose of teaching that has received limited attention in teacher identity development.     

Covid-19 and heuristic biases: evidence from India

Stock markets worldwide have witnessed high volatility during the year 2020 owing to the eruption of Covid-19. Due to the world’s unprecedented economic challenges, this study could potentially guide financial advisors and individual investors in dealing with pandemics. An association between investors’ perception toward the intensity of Covid-19 and heuristic biases is analyzed using the responses of 290 stock investors of National Capital Region (NCR), India. The data are validated through Cronbach’s alpha, and the model fit is analyzed using EFA. Confirmatory factor analysis (CFA) is employed to investigate the relationship between Covid-19 and heuristic biases. Covid-19 does not have any influence on the overconfidence of investors. A significant positive relationship is found between Covid-19 and the remaining three heuristics, i.e., availability, anchoring, and representativeness. The present study analyzes the association between Covid-19 and specific investors’ bias only and should not be interpreted for causality. The study has the potential to guide investors in understanding the errors they are making while investing during the pandemic and the ways to deal with them. The study could provide insights to the financial advisors in understanding their customers. The implications of the study may include inputs of the errors committed by them during the pandemic. Despite the fact that an enormous amount of literature exists in the field of investors’ sentiment, a scarcity of literature is available that measures the relationship between heuristic biases and the perceived impact of the pandemic. The current study attempts to fill this gap in the literature.

     

Industry 4.0 and circular economy practices: A new era business strategies for environmental sustainability

Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy (CE) practices and prevailing business models. Recognize the same; this study examines the role of blockchain technology in circular CE practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 404 enterprises located in Chinese and Pakistani territories, involved in cross-border supply chain operations. Both countries' sample has great relevance due to the China Pakistan Economic Corridor (CPEC), which possesses several positive fallouts in terms of technology spillovers across firms. Using the partial least squares structural equation modeling (PLS-SEM) modeling framework, this study provides three key findings. First, BCT significantly improves the circular economy practices (circular procurement, circular design, recycling, and remanufacturing). Second, CE practices help improve firms' environmental performance and stimulate their financial performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study sets out the foundations for participating countries/firms that simultaneously achieve financial and sustainable goals by integrating blockchain technology in circular economy practices.     

Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals

Online physician reviews (OPRs), also known as electronic word of mouth, have become the primary source of information for patients while making health consultation decisions. However, different techniques to analyze these reviews by machines have not been frequently applied yet in this domain. In this study, a novel method for opinion mining is being proposed to fill the existing research gap, that is, a hybrid approach to sentic computing. This approach integrates artificial intelligence and semantic web techniques to implicitly analyze OPRs in order to evaluate patient perceptions of healthcare service quality. We develop our methodology by using the following three main tasks: (1) sentence-level topic spotting (a topic-analysis procedure) to extract major topics, (2) a sentic computing framework to perform concept-level sentiment analysis (polarity detection on the categorized sentences), and (3) root cause and strengths, weaknesses, opportunities, and threats (SWOT) analyses to identify SWOT for healthcare organizations. Analyses results of 47,499 OPRs from the UK-based website (Iwantgreatcare.org) show that the proposed hybrid approach has accurately classified concept words to their corresponding topics, and it has also outperformed the similar other methods of topic extraction in the healthcare domain. The results also indicate that the proposed approach can better contribute to the overall performance analyses for healthcare organizations, which could help practitioners in improving service-quality measures based on the real voices of patients. The proposed model also provides a theoretical basis for formulating quality measures for the healthcare sector.

     

Micro-foundations of organizational design and sustainability: The mediating role of learning ambidexterity

This paper builds on prior scholarly works by examining the relationship between organizing paradox (formalization and decentralization), and organizational levels of learning paradoxes, i.e. exploration and exploitation, and firms’ outcomes (organizational creativity, organizational resilience and organizational energy). Using data from 98 executives and 325 senior employees working across a diverse range of firms operating in the Middle East, the findings suggest that organizing paradox (formalization and decentralization) has a positive impact on learning ambidexterity. In addition, we also found that learning ambidexterity has a positive impact on both organizational resilience and organizational energy. Furthermore, the results indicate that learning ambidexterity mediates the relationship between organizing paradox and organizational creativity. These findings provide important insights into the micro-foundation aspects of organizational ambidexterity.