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I suggest that the search for Adam Smith’s theodicy is likely to be in vain. The paper begins with a brief history of approaches to evil, emphasizing the context in which they arose, and the questions authors were addressing. Approaches most relevant to Adam Smith include those of Augustine and Calvin, and the early modern theodicies of Leibniz, Samuel Clarke and William King, as well as the attacks on them by Bayle and Voltaire. Scottish Enlightenment writers were not terribly interested in theodicy, though Hutcheson and Kames did devote space to their versions of problems of evil. David Hume’s Dialogues on Natural Religion are often taken to be classic statement of the problem of theodicy and argument against religious belief, but his concern was to demolish rationalistic theodicies rather than religious belief or practice. The paper then turns to Smith’s writings, considering similarities and differences to these approaches to evil. Smith emphasizes the wisdom and beneficence of God, and that evils we observe are part of a larger providential plan. He makes no attempt to justify the God in the face of evil, and in this respect Smith shares more with Augustine and Calvin than he does with the early modern theodicists. Smith’s approach to evil is simple and ameliorative. Smith’s approach contrasts with early nineteenth century English political economists, from Malthus onwards, for whom theodicy was important. Whatever view we take of the theodicists project of justifying an all-powerful and good God in the face of evil may, we still struggle to make sense of economic suffering and evil.

This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and effects of mental models on medicine stockout to develop a dynamic theory of medicine availability towards saving patients’ lives.

This study uses a mixed-method approach. Starting with a survey method, followed by in-depth interviews with stakeholders within five health-care supply chains to determine the dynamic feedback leading to stockout and conclude by developing a network mental model for medicines availability.

The authors identified five constraints and developed five case mental models. The authors develop a dynamic theory of medicine availability across cases and identify feedback loops and variables leading to medicine availability.

The need to include mental models of stakeholders like manufacturers and distributors of medicines to understand the system completely. Group surveys are prone to power dynamics and bias from group thinking. This survey’s quantitative output could minimize the bias.

This study uniquely uses a mixed-method of survey method and in-depth interviews of experts to assess the essential medicine stockout in Nigeria. To improve medicine availability, the authors develop a dynamic network mental model to understand the system structure, feedback and behaviour driving stockouts. This research will benefit public policymakers and hospital managers in designing policies that reduce medicine stockout.

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the wider economy. This study argues that excessive liquidity from central banks may be driving house price increases, despite negative changes to fundamental drivers. This study contributes to the literature by examining lending liquidity as a driver of house prices and evaluating the efficacy of fiscal policies aimed at boosting liquidity during black swan events.

This study aims to examine the impact of quantitative easing on Australian house prices during back swan events using data from 2004 to 2021. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation's Central Bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration among some of the I(1) variables, the auto-regressive distributed lag model was selected given its flexibility and relative lack of assumptions.

The Australian housing market continued to perform well during the COVID-19 pandemic, with the house price index reaching an unprecedented high towards the end of 2021. Research using data from 2004 to 2021 found a consistent positive relationship between house prices and housing finance, as well as population growth and the value of work commenced on residential properties. Other traditional drivers such as the unemployment rate, economic activity, stock prices and income levels were found to be less significant. This study suggests that quantitative easing implemented during the pandemic played a significant role in the housing market's performance.

Given the severity of COVID-19, policymakers have responded with fiscal and monetary measures that are unprecedented in scale and scope. The full implications of these responses are yet to be completely understood. In Australia, the policy interest rate was reduced to a historic low of 0.1%. In the following periods house prices appreciated by over 20%. The efficacy of quantitative easing and associated fiscal policies aimed at boosting liquidity to mitigate the impact of black swan events such as the pandemic has yet to be tested empirically. This study aims to address that paucity in literature by providing such evidence.