Spatial Implications of Telecommuting

Delventhal, Matthew J.; Пархоменко, А. И.

doi:10.2139/ssrn.3746555

Cited by 34 publications

(28 citation statements)

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“…Second, besides substitution e↵ects in energy use, changes in housing and settlement patterns could have more dramatic implications for future energy use and, thus, emissions. Based on a spatial equilibrium model, Delventhal and Parkhomenko (2016) argue that increased teleworking changes the choice of the residential location and of the workplace. Using a similar modeling framework, Larson and Zhao (2016) show that telework causes sprawl, calling into question the idea that telework decreases energy consumption.…”

Section: Discussionmentioning

confidence: 99%

What If Working from Home Will Stick? Distributional and Climate Impacts for Germany

2021

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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Section: Discussionmentioning

confidence: 99%

What If Working from Home Will Stick? Distributional and Climate Impacts for Germany

2021

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“…The arguments that telework increases sprawl are strongly based on location theory and its application regarding urban models (Delventhal & Parkhomenko, 2021 ; Larson & Zhao, 2017 ; Lund & Mokhtarian, 1994 ; Rhee, 2008 , 2009 ; Safirova, 2002 ) or land use transport interaction models (Alonso et al, 2017 ; Moeckel, 2017 ). The general assumption is that the reduction of commuting costs will flatten bid rent curves, making suburbs more attractive for teleworkers (Ellen & Hempstead, 2002 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Residential preferences, telework perceptions, and the intention to telework: insights from the Lisbon Metropolitan Area during the COVID‐19 pandemic

Silva

2022

Regional Science Policy & Practice

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Confinement measures imposed during the COVID‐19 pandemic forced many people to work from home. As telework reduces commuting costs, there is the possibility of contributing to urban sprawl as it allows people to move to the periphery. A web‐based survey focusing on telework was conducted in the Lisbon Metropolitan Area. A structural equation model was built to study the influence of residential location preferences, perceptions about telework, and current residential location with the intention to engage in telework. People willing to telework more frequently have a higher probability of living in suburban locations, preferring this type of environment and having longer commutes. These results support the premise that telework acts as a mechanism to reduce commute burden.

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“…The few other theoretical WFH models written in response to the pandemic are considerably more complex than the present model. For example, the model of Delventhal and Parkhomenko (2021) has two types of jobs, "telecommutable" and not, and two types of workers, high and low skill, whose preferences include idiosyncratic random terms. Workers with telecommutable jobs choose the division of their time between home and office work (which entails commuting costs), and their effective labor supply depends on floor space inputs at both sites, which they also choose.…”

Section: Introductionmentioning

confidence: 99%

“…Welfare calculations show gains for all groups except for low-skill workers in non-telecommutable jobs. 3 As in Delventhal and Parkhomenko (2021), the high-skill workers in the WFH model of Gokan, Kichko and Thisse (2021) split their time between office and less-productive home work, with office work generating a demand for "local consumption services" at the CBD (restaurant food, for example), which are produced by low-skill workers. In addition to working in this sector, low-skill workers also collaborate with high-skill workers in producing a tradable good.…”

Section: Introductionmentioning

confidence: 99%