Masking by Object Substitution: Effects of Spatial Overlap

The present study details the women employment and the overwhelming potential help for women to get the economic power and to change a gender connection on the employment market. Working women pick up a considerable measure of new skill and abilities associated with driving an organization as well as with personal improvement. Besides, they also conceded that more prominent support women in the market may contribute to defeat a stereotypical picture of woman as a mother and spouse. This is fought to be principally a result of structural shifts in the economy, changing effect of wage and substitution effects and an increase in instruction levels of women in the populace. Our results also suggest that development without any other person's information is not sufficient to increase women's economic activity, but instead the dynamics of development matter. These findings are especially imperative to help design policies to enhance women's work force cooperation rate so that India can take complete favorable position of its upcoming demographic dividend.

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Some Substitution Effects in the Location Decision of a Firm

Journal of Political Economy ◽

10.1086/259797 ◽

1971 ◽

Vol 79 (4) ◽

pp. 903-908 ◽

Cited By ~ 1

Keyword(s):

Substitution Effects ◽

Location Decision

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Commercial fitness centres in Denmark: a study on development, determinants of provision and substitution effects

Annals of Leisure Research ◽

10.1080/11745398.2019.1692684 ◽

2019 ◽

pp. 1-24

Author(s):

Rasmus K. Storm ◽

Benjamin Ove Riise Hansen

Keyword(s):

Substitution Effects

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Comprehensive Effects of Short-Term Rental Platforms Across Hotel Types in U.S. and International Destinations

Cornell Hospitality Quarterly ◽

10.1177/19389655211033527 ◽

2021 ◽

pp. 193896552110335

Author(s):

John W. O’Neill ◽

Jihwan Yeon

Keyword(s):

Service Providers ◽

Comprehensive Analysis ◽

Competitive Market ◽

Substitution Effects ◽

Short Term ◽

Hotel Performance ◽

The World ◽

Different Types ◽

Location Type ◽

The Impact

In recent years, short-term rental platforms in the lodging sector, including Airbnb, VRBO, and HomeAway, have received extensive attention and emerged as potentially alternative suppliers of services traditionally provided by established commercial accommodation providers, that is, hotels. Short-term rentals have dramatically increased the available supply of rooms for visitors to multiple international destinations, potentially siphoning demand away from hotels to short-term rental businesses. In a competitive market, an increase in supply with constant demand would negatively influence incumbent service providers. In this article, we examine the substitution effects of short-term rental supply on hotel performance in different cities around the world. Specifically, we comprehensively investigate the substitution effects of short-term rental supply on hotel performance based on hotel class, location type, and region. Furthermore, we segment the short-term rental supply based on its types of accommodations, that is, shared rooms, private rooms, and entire homes, and both examine and quantify the differential effects of these types of short-term rentals on different types of hotels. This study offers a comprehensive analysis regarding the impact of multiple short-term rental platforms on hotel performance and offers both conceptual and practical insights regarding the nature and extent of the effects that were identified.

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E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

Transportation ◽

10.1007/s11116-021-10195-3 ◽

2021 ◽

Author(s):

Mathijs de Haas ◽

Maarten Kroesen ◽

Caspar Chorus ◽

Sascha Hoogendoorn-Lanser ◽

Serge Hoogendoorn

Keyword(s):

The Netherlands ◽

Longitudinal Data ◽

Latent Class ◽

Good Alternative ◽

Substitution Effects ◽

Or Education ◽

Cross Sectional ◽

User Groups ◽

Using Data ◽

Mode Of Transport

AbstractIn recent years, the e-bike has become increasingly popular in many European countries. With higher speeds and less effort needed, the e-bike is a promising mode of transport to many, and it is considered a good alternative for certain car trips by policy-makers and planners. A major limitation of many studies that investigate such substitution effects of the e-bike, is their reliance on cross-sectional data which do not allow an assessment of within-person travel mode changes. As a consequence, there is currently no consensus about the e-bike’s potential to replace car trips. Furthermore, there has been little research focusing on heterogeneity among e-bike users. In this respect, it is likely that different groups exist that use the e-bike for different reasons (e.g. leisure vs commute travel), something which will also influence possible substitution patterns. This paper contributes to the literature in two ways: (1) it presents a statistical analysis to assess the extent to which e-bike trips are substituting trips by other travel modes based on longitudinal data; (2) it reveals different user groups among the e-bike population. A Random Intercept Cross-Lagged Panel Model is estimated using five waves of data from the Netherlands Mobility Panel. Furthermore, a Latent Class Analysis is performed using data from the Dutch national travel survey. Results show that, when using longitudinal data, the substitution effects between e-bike and the competing travel modes of car and public transport are not as significant as reported in earlier research. In general, e-bike trips only significantly reduce conventional bicycle trips in the Netherlands, which can be regarded an unwanted effect from a policy-viewpoint. For commuting, the e-bike also substitutes car trips. Furthermore, results show that there are five different user groups with their own distinct behaviour patterns and socio-demographic characteristics. They also show that groups that use the e-bike primarily for commuting or education are growing at a much higher rate than groups that mainly use the e-bike for leisure and shopping purposes.

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