Letters in Spatial and Resource Sciences最新文献

The daily announcement of positive COVID-19 cases had a major socioeconomic impact. In Japan, it is well known that the characteristic of this number as time series data is the weekly periodicity. We assume that this periodicity is generated by changes in the timing of reporting on the weekend. We analyze a lag structure that shows how congestion that occurs over the weekend affects the number of new confirmed cases at the beginning of the following week. We refer to this reporting delay as the weekend effect. Our study aims to describe the geographical heterogeneity found in the time series of reported positive cases. We use data on the number of new positives reported by the prefectures. Our results suggest that delays generally occur in prefectures with a population of more than 2 million, including Japan's three largest metropolitan areas, Tokyo, Osaka, and Nagoya. The number of new positives was higher in the more populated prefectures. This will explain the weekend effect.

It is well established that a variety of physical distancing measures are invaluable as part of the overall response to pandemics. COVID-19 is the most recent such pandemic, a respiratory disease transmitted through interaction, necessitating steps to minimize or eliminate the potential for exposure. Of course, this is driven by a desire to keep the economy moving, allow for social activity, continue education, support the livelihoods of individuals, etc. Regional science and supporting analytics have an important role in managing activity through the development and application of methods that enable spatial interaction that mitigates transmission. This paper details methods to plan for physical distancing at micro-scales, enabling the return of social, economic, entertainment, etc. activities. Geographic information systems combined with spatial optimization offers important spatial coronametrics for the mitigation of risk in disease transmission. Applications detailing office space occupancy and travel along with room seating are highlighted.

Environmental degradation has been one of the hot topics discussed since the 1980s. In the literature, CO₂ emissions are generally used to represent environmental degradation. However, in this study, environmental degradation is examined in the context of ecological footprint. The study aims to investigate the effect of economic growth, energy consumption, and mineral saving on the ecological footprint in Turkey for the period of 1975-2017. For this purpose, the bootstrap autoregressive distributed lag model with a Fourier function (FARDL) method is utilized to test the long-term relationship between the variables. The findings indicate a long-term relationship between the variables. In addition, long-run estimation results based on the FARDL model show that economic growth and mineral saving increase the ecological footprint in Turkey. The conclusion discusses these findings and presents long-term policy recommendations for Turkey.

Vaccination campaigns are one of the factors that can help mitigate the adverse effects of viral pandemics. The aim of this paper is to understand the institutional factors that are associated with a higher success rate, measured by the percentage of vaccinated population against COVID-19 across countries. Along with supply side determinants, institutional factors, related, at the national level, to the organization of the healthcare sector, governance and organization of the State and social capital, and, at the subnational level related to the authority and autonomy of lower tiers of government, are important correlates of successful vaccination campaigns, suggesting potential areas of public policy interventions.

In this paper, we discuss the classical modelling approach of pandemics as a negative labour shock. We perform an archival analysis of one of the largest Italian banks (Credito Italiano) during the First World War - Spanish Flu period (1914-1920). In particular, we scrutinise the circulars that the central management of the bank sent out to the local branches, with the aim to assess whether the Spanish Flu has been perceived by contemporaries as an event seriously affecting personnel management. Though restricted to a single case-study, archival evidence does not support the existence of a remarkable negative labour supply shock affecting personnel management because of the Spanish Flu pandemic. Other war-related events probably increased the system's resilience.

The COVID-19 pandemic has hit urban areas particularly hard, yet there is a lack of research on the hypothesis that living in more compact cities can provide better support for work and social conditions during the pandemic. This study addresses this gap by examining whether city compactness can mitigate the negative impact of the pandemic on the work and social life of urban residents in Jakarta, Indonesia. The study uses a household phone survey combined with publicly available urban form data. Ordinary Least Squares (OLS) regression, supplemented with a matching technique to address potential selection bias, is employed. The results suggest that living in more compact locations can reduce the disruption to work and social life associated with COVID-19 in urban communities. This positive effect is particularly experienced by males, non-migrants, and individuals from wealthy families.

Crude oil is an essential source of energy. Without access to energy, output growth is impossible. As a result of this link, volatility in oil prices has the ability to induce fluctuations in the output of both developed and developing economies. Moreover, factors such as business cycles and policy changes often introduce nonlinearity into the transmission mechanism of oil price shocks. This study therefore examines not only the interconnectedness of oil price volatility and output growth, but also the nonlinear, asymmetric impact of oil price volatility on output growth in the countries making up the Group of Seven. To this end, monthly data on West Texas Intermediate oil price and industrial production indices of the Group of Seven countries over the period 1990:01 to 2019:08 is used for empirical analysis. The study employs the DCC and cDCC-GARCH techniques for symmetric empirical analysis. The asymmetric empirical analysis is also conducted via GJR-GARCH, FIEGARCH, HYGARCH and cDCC-GARCH techniques. The findings reveal disparities in the magnitudes of the positive and negative (asymmetric) effects of oil price shocks on output growth. The results also reveal that past news and lagged volatility have a significant impact on the current conditional volatility of the output growth of the Group of Seven countries. The study concludes that the impact of oil price volatility on output growth in the selected economies is asymmetric, the volatility is highly persistent and clustered, and the asymmetric GARCH models outperform the symmetric GARCH models.