This week I attended the 65th Congress of the European Regional Science Association in Sofia, Bulgaria. This is one of my favourite conferences each year, because of the quality and variety of papers that are presented. My own presentation was on the increasing trend towards natural population decrease (more deaths than births) across the territorial authorities and local boards in New Zealand, which will become an increasingly serious policy issue in the future. Here are some of the highlights I found from the conference:
- Ugo Fratesi (abstract 270, on page 2 of the abstract book) looked at regional resilience to positive shocks in China, flipping on its head the idea of resilience, which is usually only applied to negative shocks (and this generated a bit of discussion about whether resilience is the right word to use in that context)
- Elisabetta Ottoz (abstract 126, on page 8 of the abstract book) investigated businesses operating in the night-time economy in Italian cities, finding that those businesses were larger and more profitable than recreational businesses that operated during the daytime or evenings
- Peter Nijkamp gave a very detailed keynote that focused on wellbeing and introduced me to a variety of new terms drawn from disparate parts of the literature, including 'city love' (because love is more enduring than happiness), spatial comfort zones (where people are unwilling to move away, because they have everything they need within some close distance), prosilience (like resilience, but more about making the most out of a negative shock so that the area ends up better rather than simply returning to the previous state), and panarchy (adjustment behaviour is cyclical both temporally and spatially)
- In his discussion of Nijkamp's keynote, Kingsley Haynes laid down a challenge, noting that regional scientists had done a great job of analysing aggregate data, but not so much with individual-level data (which reminded me of at least two conversations I have had over the years about how difficult or impossible it is to apply spatial models to individual-level data)
- Zhiwu Wei (working paper here) looked at the relationship between local wealth inequality and protests in the Global South, finding that the positive inequality-protest relationship is very localised, and weakens substantially as you consider a broader definition of what is 'local'
- Alessandra Faggian (abstract 537, on page 93 of the abstract book) investigated the relationship between fertility and productivity in Italy, using historical wheat suitability as an instrument, and found that higher local productivity leads to significantly higher fertility rates (I'm not sure there is a policy prescription here, because raising productivity seems to be just as difficult as raising fertility!)
- Simone Piras (abstract 111, on page 130 of the abstract book) presented the results of a discrete choice experiment of Scottish residents’ willingness to move (or not) to places that differ in terms of various attributes, finding that residents would be more willing to move to places with good natural environment and digital connectivity and which are close to services and family, and that an intervention that provided information about Scotland's national policy on balancing the population had only small impacts
Aside from the conference, here's what caught my eye in research over the past week:
- Gans (open access) shows using a theoretical model that prompt injection to manipulate AI referees of journal article submissions can actually improve the peer review process under certain conditions (I'd want to see some empirical support for this before I believed it)
- Di Iasio and Wahba (open access) find that stronger anti-immigration attitudes significantly reduce migration inflows to EU destinations, with effects that are larger for intra-EU mobility than for migration from non-EU countries
- Wang and Liang find that city-level crime rates declined by a statistically significant 5.7 percent following Hukou reform in China, which freed up internal migration
- Ardito et al. (with ungated earlier version here) find that delayed retirement as a result of pension reform in Italy significantly increased sick leave due to occupational injuries, by 2.6 percent of the pre-reform mean
