scholarly journals The Spatial Mismatch between Innovation and Joblessness

2020 ◽  
Vol 20 ◽  
pp. 233-299 ◽  
Author(s):  
Edward L. Glaeser ◽  
Naomi Hausman
Keyword(s):  
2021 ◽  
Vol 31 (2) ◽  
pp. 376-386
Author(s):  
Chen Chen ◽  
Lin Cheng ◽  
Chunliang Xiu ◽  
Jiuquan Li
Keyword(s):  

Ecography ◽  
2018 ◽  
Vol 41 (10) ◽  
pp. 1665-1674 ◽  
Author(s):  
Lucie Kuczynski ◽  
Jessica Côte ◽  
Aurèle Toussaint ◽  
Sébastien Brosse ◽  
Laëtitia Buisson ◽  
...  

Author(s):  
Wei Zhang ◽  
Yifan Dou

Problem definition: We study how the government should design the subsidy policy to promote electric vehicle (EV) adoptions effectively and efficiently when there might be a spatial mismatch between the supply and demand of charging piles. Academic/practical relevance: EV charging infrastructures are often built by third-party service providers (SPs). However, profit-maximizing SPs might prefer to locate the charging piles in the suburbs versus downtown because of lower costs although most EV drivers prefer to charge their EVs downtown given their commuting patterns and the convenience of charging in downtown areas. This conflict of spatial preferences between SPs and EV drivers results in high overall costs for EV charging and weak EV adoptions. Methodology: We use a stylized game-theoretic model and compare three types of subsidy policies: (i) subsidizing EV purchases, (ii) subsidizing SPs based on pile usage, and (iii) subsidizing SPs based on pile numbers. Results: Subsidizing EV purchases is effective in promoting EV adoptions but not in alleviating the spatial mismatch. In contrast, subsidizing SPs can be more effective in addressing the spatial mismatch and promoting EV adoptions, but uniformly subsidizing pile installation can exacerbate the spatial mismatch and backfire. In different situations, each policy can emerge as the best, and the rule to determine which side (SPs versus EV buyers) to subsidize largely depends on cost factors in the charging market rather than the EV price or the environmental benefits. Managerial implications: A “jigsaw-piece rule” is recommended to guide policy design: subsidizing SPs is preferred if charging is too costly or time consuming, and subsidizing EV purchases is preferred if charging is sufficiently fast and easy. Given charging costs that are neither too low nor too high, subsidizing SPs is preferred only if pile building downtown is moderately more expensive than pile building in the suburbs.


2017 ◽  
Vol 17 (2) ◽  
pp. 357-379 ◽  
Author(s):  
Christof Brandtner ◽  
Anna Lunn ◽  
Cristobal Young

Abstract Spatial mismatch between homes and jobs within a city can create unemployment despite the presence of unfilled jobs. This is especially problematic among young people who have limited transportation options and high rates of joblessness. Car ownership is a possible solution to spatial mismatch, but private vehicles are expensive and involve negative externalities. Public transportation provides an alternative infrastructure that reduces structural unemployment by matching supply and demand. Using longitudinal models of public transportation in the 95 largest US cities between 2000 and 2010, we test whether better public transit services reduce youth unemployment. Public transportation systems can serve as a labor market institution, but there are two worlds of public transportation in American cities. Improvements in public transit are mostly beneficial in cities that are already less dependent on private automobiles. Path dependence in transportation design means that some cities see little benefits to incremental investments in public transit.


2019 ◽  
Author(s):  
Tobias Theys ◽  
Nick Deschacht ◽  
Stef Adriaensens ◽  
Dieter Verhaest

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