Raising the bar (21)

This editorial summarizes the papers published in issue 17(3) (2022). The first paper analyses the impact of knowledge spillovers on patent applications using a Tobit model. The second paper sets out an economic-theoretical model of industrial specialization patterns across cities and their impact on the spatial agglomeration of skilled workers and long-term productivity growth. The third paper analyses the price and average cost functions of a competitive industry in which firms face diseconomies of scale but enjoy economies of scale when they agglomerate. The fourth paper shows that productivity spillover effects and their endogeneity are key to understanding the productivity-compensation gap. The fifth paper studies geographical and sectoral specialization versus concentration of global supply chains. The sixth paper combines spatial autoregressive (SAR) and geographically weighted regression (GWR) models to test whether urban residents have reacted to the Covid-19 pandemic by moving out of US metropolitan centres into the suburbs. The seventh paper investigates the impact of natural disasters caused by climate change on forced outmigration flows in South and South-East Asian countries.

Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy.

Unprecedented nationwide lockdowns were adopted because of the COVID-19 pandemic. Understanding the socioeconomic impact of the past and future restrictions while assessing the resilience of a local economy emerged as a worldwide necessity. To predict the economic and environmental effects of the lockdowns, we propose a methodology based on the well-established input-output inoperability model, using Italy as a case study. By reconstructing the 2020 restrictions, we analyzed the economic losses and greenhouse gas emissions reductions, identifying the most economically impacted sectors because of the restrictions and the sectoral interdependencies and those avoiding most air emissions. We constructed four partial-lockdown scenarios by minimizing the economic losses for increasing restrictions to highlight the model's utility as a tool for policymaking. By revealing the most interconnected and, thus, crucial sectors, the simulated scenarios showcase how the restrictions can be selected to avoid sudden and unpredicted economic damage.

Raising the bar (17)

This editorial summarizes the papers published in issue 16(3) (2021) in order to raise the bar in applied spatial economic research and highlight new trends and knowledge. The first paper analyses the economic consequences of the rise and spread of the Covid-19 virus in the Brazilian state of São Paulo. The second paper presents a multi-regional generalized RAS technique to update input–output tables. The third paper investigates which European Union regions are most likely to be exposed to external shocks and which are more resilient. The fourth paper proposes a new neighbourhood inequality index for cities. The fifth paper analyses productivity and profitability using a sophisticated hierarchical model applied to a huge data set of individual firms. The sixth paper contains an empirical analysis on the choice of the national capital city location among 80 potential candidates in China over a period of 2240 years. The seventh paper explains political ideology at the municipality level in Switzerland based on 312 federal referendums between 1981 and 2017. The eighth paper examines the driving forces of business cycle synchronization among the 49 US states.

Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface.

As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for Sustainable Development launched by the United Nations (UN). This paper applies a mixed-method approach to map the post-COVID-19 SDGs targets on a fuzzy action priority surface at the country level in Iran, as a developing country, by taking the following four main steps: (1) using a modified Delphi method to make a list of the SDGs targets influenced by COVID-19; (2) using the best-worst method, as a multi-criteria decision-making tool, to weight the COVID-19 effects on the SDGs targets achievement; also (3) to weight the impact of the SDGs targets on the sustainable development implementation; and finally (4) designing a fuzzy inference system to calculate the action priority scores of the SDGs targets. As a result, reduction of poor people proportion by half (SDG 1.2), development-oriented policies for supporting creativity and job creation (SDG 8.3), end the pandemics and other epidemics (SDG 3.3), reduction of deaths and economic loss caused by disasters (SDG 11.5), and financial support for small-scale enterprises (SDG 9.3) were identified as the highest priorities for action, respectively, in the recovery agenda for sustainable development post COVID-19. The provided fuzzy action priority surface supports the UN's SDGs achievement and implementing the 2030 Agenda for Sustainable Development in Iran. It also serves as a guideline to help the government, stakeholders, and policy-makers better analyze the long-term effects of the pandemic on the SDGs and their associated targets and mitigate its adverse economic, social, and environmental consequences.

Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development.

The COVID-19 pandemic has immensely impacted the economic, social, and environmental pillars of sustainability in human lives. Due to the scholars' increasing interest in responding to the urgent call for action against the pandemic, the literature of sustainability research considering COVID-19 consequences is very fragmented. Therefore, a comprehensive review of the COVID-19 implications for sustainability practices is still lacking. This research aims to analyze the effects of COVID-19 on the triple bottom line (TBL) of sustainability to support the future sustainable development agenda. To achieve that, the following research questions are addressed by conducting a systematic literature review: (i) what is the current status of research on the TBL of sustainability considering COVID-19 implications? (ii) how does COVID-19 affect the TBL of sustainability? and (iii) what are the potential research gaps and future research avenues for sustainable development post COVID-19? The results manifest the major implications of the COVID-19 outbreak for the triple sustainability pillars and the sustainable development agenda from the economic, social, and environmental points of view. The key findings provide inclusive insights for governments, authorities, practitioners, and policy-makers to alleviate the pandemic's negative impacts on sustainable development and to realize the sustainability transition opportunities post COVID-19. Finally, five research directions for sustainable development corresponding to the United Nations' sustainable development goals (SDGs) post COVID-19 are provided, as follows: (1) sustainability action plan considering COVID-19 implications: refining sustainability goals and targets and developing measurement framework; (2) making the most of sustainability transition opportunities in the wake of COVID-19: focus on SDG 12 and SDG 9; (3) innovative solutions for economic resilience towards sustainability post COVID-19: focus on SDG 1, SDG 8, and SDG 17; (4) in-depth analysis of the COVID-19 long-term effects on social sustainability: focus on SDG 4, SDG 5, and SDG 10; and (5) expanding quantitative research to harmonize the COVID-19-related sustainability research.