Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?

Small and medium‐sized enterprises (SMEs) adopt lean practices (LP) to reduce waste across their organisational value chain, which helps achieve sustainability. Process innovation (PI) has also been applied through cleaner production, environmental management system, ecodesign, and so on to address both customers' needs and legislations by policymakers. Although prior studies reveal the effect of sustainable practices, LP, and PI on sustainable performance separately, less is known on the integrated effect of them on sustainability performance. Moreover, studies on mediating effect of LP and PI on sustainability performance are scant. This is significant as LP and PI are considered to be the enablers for achieving sustainability performance. This research addresses this knowledge gap. The research first theorises a model integrating these four major constructs (sustainability practices, LP, PI, and sustainability performance) through hypotheses development. Subsequently, using structural equation modelling, it is tested whether each of sustainability practices, LP, and PI effect sustainability performances. Additionally, mediating effect of LP and PI between sustainability practices and performances is derived. The study uses data from 119 SMEs within manufacturing industries in the Midlands, United Kingdom. Further, a few case studies have been undertaken to validate the findings from quantitative analysis. The overall results show that although sustainability practices, LP, and PI help achieve sustainability performance of SMEs supply chain through efficiency and responsiveness respectively, the mediating effect LP is more compared with PI. Moreover, SMEs adopt LP when they are economy focused and implement PI when they are pressurised by customers and/or policymakers.     

Small Firm Capital Structure and the Syndicated Loan Market

We show that small firms using syndicated loans for their mid- and long-term financial needs have significantly higher leverage than firms that do not borrow in this market. This difference cannot be attributed to firm characteristics like the availability of growth opportunities, asset tangibility, R&D spending, profitability and net sales that are known to influence capital structure. We also find that the capital structure of other firms that borrow in the syndicated loan market is not different from those that do not. We show that already highly leveraged small firms are more likely to borrow in the syndicated loan market than other firms. The higher debt in the capital structure of small firms that rely on syndicated loans consequently can be attributed to the availability of capital rather than demand for capital, as shown more generally by Faulkender and Petersen (Rev Financ Stud 19(1):45?C79, 2006).     

Has local informational advantage disappeared?

This study examines how changes in the information environment affect the informational advantage of geographically proximate agents. The long‐term advantage of local agents disappeared at the turn of the millennium. This is accompanied by the reduction in local bias of institutional investors and equity analysts. However, institutional investors continue to trade local stocks disproportionately more often than non‐local stocks; moreover, their local trades outperform non‐local trades in the short term—even for large and liquid stocks. Our results are consistent with improvements in the information environment shortening the horizon of proximity‐based informational advantage.     

Russia–Ukraine crisis: The effects on the European stock market

We examine the effect of the Russia–Ukraine crisis on the European stock markets. Because of increased political uncertainty, geographic proximity and the ramifications of the fresh sanctions imposed on Russia, the European stock markets tended to react negatively to this crisis. We find that on 21 February 2022, when Russia recognized two Ukrainian states as autonomous regions, European stocks incurred a significant negative abnormal return. Moreover, the negative stock price reactions continued in the post-event period. The magnitude of the stock price reactions to this crisis exhibits considerable variation across industries, countries and size of the company.     

Exploring the nexus between tourism,remittances and growth in Kenya

Recently there has been a surge in remittances inflow to Kenya while tourism receipts appears to be declining, albeit gradually. In light of these developments, the paper explores the plausible effects of tourism and remittances on per worker output. We use the annual data over 1978–2010 periods and the ARDL bounds approach within the augmented (Solow in Q J Econ 70:65–94, 1956) framework. The regression results show that tourism has a marginal net negative effect in the short-run however positive effect in the long-run. Remittances, on the other hand, have a net positive effect in short-run and negative effect in the long-run. The key results from the Toda–Yamamoto Granger non-causality (Toda and Yamamoto in J Econom 66:225–250, 1995) results show a unidirectional causation from remittances to output per worker; and from output per worker to tourism. A unidirectional ‘combined effect’ of all variables causing output and remittances, respectively are evident as well. Conclusively, tourism is one of the leading drivers of Kenyan economy. To boost gains from tourism, the sector needs to align policies to the Kenya 2030 strategic framework with significant focus on expanding markets, boosting investment, and growth. Remittances market need to be further developed strategically with the view to improving Kenyan migrant led growth initiatives with plausible links to tourism development.     

Is Asian per capita GDP panel stationary?

The goal of this paper is to examine whether per capita GDP for 15 Asian countries is panel stationary. We apply a panel test for stationarity that allows for multiple structural breaks developed by Carrion-i-Silvestre et al. (Econ J 8: 159–179, 2005). Our main findings are: (1) when we apply conventional tests, such as the ADF and KPSS univariate tests without structural breaks, we find little evidence for stationarity; (2) when we apply the KPSS univariate test with multiple structural breaks, we find evidence of stationarity for 10 out of 15 countries; and (3) when we apply the KPSS panel test with multiple structural breaks, we find overwhelming evidence of panel stationarity of per capita real GDP for different panels of Asian countries.