This page has only limited features, please log in for full access.

Prof. Jean Dubé
Université Laval, Québec, Canada

Basic Info


Research Keywords & Expertise

0 Policy Evaluation
0 Quantitative Analyses
0 Real Estate
0 Spatial Analysis
0 spatial econometric

Fingerprints

Real Estate
spatial econometric
Spatial Analysis
Spatio-Temporal Analysis

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 23 June 2021 in Transportation Research Part D: Transport and Environment
Reads 0
Downloads 0

Noise has important consequences on health, and these impacts are internalized into real estate prices. From a landscape and public policy perspective, the construction of noise barriers appears to be an effective solution to reduce the impact of negative externalities. However, barriers also create local negative externalities for owners, such as a reduction in sunshine hours and visual encumbrance. The aim of the paper is to investigate the local net effect of noise barriers for the Greater Montreal area using single-family house transactions between 2000 and 2017. The analysis is based on a matching methodological framework with a difference-in-difference approach applied on various noise levels along highway segments. The estimated net impact appears to be place-dependent, with a price premium being assigned to houses located closer to the core of the metropolitan area. This conclusion points towards considering those specificities when authorities aim at implementing such an infrastructure.

ACS Style

Yves-Bryand Yao; Jean Dubé; Mathieu Carrier; François Des Rosiers. Investigating the economic impact of noise barriers on single-family housing markets. Transportation Research Part D: Transport and Environment 2021, 97, 102945 .

AMA Style

Yves-Bryand Yao, Jean Dubé, Mathieu Carrier, François Des Rosiers. Investigating the economic impact of noise barriers on single-family housing markets. Transportation Research Part D: Transport and Environment. 2021; 97 ():102945.

Chicago/Turabian Style

Yves-Bryand Yao; Jean Dubé; Mathieu Carrier; François Des Rosiers. 2021. "Investigating the economic impact of noise barriers on single-family housing markets." Transportation Research Part D: Transport and Environment 97, no. : 102945.

Articles
Published: 28 May 2021 in Journal of Urban Affairs
Reads 0
Downloads 0

This article studies the spatial evolution of mergers and acquisitions (M&A) in Canada to investigate the path dependence process of corporate control geography. The analysis is based on network analysis and quadratic assignment procedure (QAP) regression models for transactions of more than C$5 million between 1994 and 2016. The results indicate that the geography of economic decision-making is highly path-dependent, and that Toronto, Montreal, Vancouver, and Calgary are the main destinations of M&As. However, Winnipeg and Guelph have emerged as new power centers.

ACS Style

Diego Andres Cardenas Morales; Jean Dubé. The evolution and trajectories of the geography of mergers and acquisitions: A city network analysis for Canada, 1994–2016. Journal of Urban Affairs 2021, 1 -21.

AMA Style

Diego Andres Cardenas Morales, Jean Dubé. The evolution and trajectories of the geography of mergers and acquisitions: A city network analysis for Canada, 1994–2016. Journal of Urban Affairs. 2021; ():1-21.

Chicago/Turabian Style

Diego Andres Cardenas Morales; Jean Dubé. 2021. "The evolution and trajectories of the geography of mergers and acquisitions: A city network analysis for Canada, 1994–2016." Journal of Urban Affairs , no. : 1-21.

Journal article
Published: 01 May 2021 in Sustainability
Reads 0
Downloads 0

This paper aims to estimate and decompose the spatial and temporal effect of a flood event occurring in the city of Laval in 1998 using a hedonic pricing model (HPM) based on a difference-in-differences (DID) estimator. The empirical investigation of the impact of flood as a natural disaster must take into account the fact that the negotiation process between buyers and sellers may well occur before the event. It is argued that the evaluation procedure needs to be adjusted to account for this reality because the estimation of the effects may otherwise be biased and isolate other effects. To test this hypothesis, the study focuses on transactions occurring between (1995 and 2001) and within designated floodplains to adequately isolate and decompose the impact of flood. The original database contains information on 252 single-family houses transactions. The results suggest that the estimation of the impact is time dependent, with a measured negative effect appearing several months after the flood, suggesting that the impact is hard to establish right after the event since transactions, and the final sale price, could have been fixed by negotiations well before the event. The statistical methodological framework of flood research should be adapted to account for the negotiation process occurring prior to the flood event to be able to correctly isolate the impact for the after event. The flooded area also needs to be precisely identified to be able to correctly estimate the flood impact on houses that have faced flood.

ACS Style

Maha AbdelHalim; Jean Dubé; Nicolas Devaux. The Spatial and Temporal Decomposition of the Effect of Floods on Single-Family House Prices: A Laval, Canada Case Study. Sustainability 2021, 13, 5088 .

AMA Style

Maha AbdelHalim, Jean Dubé, Nicolas Devaux. The Spatial and Temporal Decomposition of the Effect of Floods on Single-Family House Prices: A Laval, Canada Case Study. Sustainability. 2021; 13 (9):5088.

Chicago/Turabian Style

Maha AbdelHalim; Jean Dubé; Nicolas Devaux. 2021. "The Spatial and Temporal Decomposition of the Effect of Floods on Single-Family House Prices: A Laval, Canada Case Study." Sustainability 13, no. 9: 5088.

Journal article
Published: 15 January 2021 in Sustainability
Reads 0
Downloads 0

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).

ACS Style

Jean Dubé; Maha AbdelHalim; Nicolas Devaux. Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-in-Differences (SM-DID) Approach. Sustainability 2021, 13, 804 .

AMA Style

Jean Dubé, Maha AbdelHalim, Nicolas Devaux. Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-in-Differences (SM-DID) Approach. Sustainability. 2021; 13 (2):804.

Chicago/Turabian Style

Jean Dubé; Maha AbdelHalim; Nicolas Devaux. 2021. "Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-in-Differences (SM-DID) Approach." Sustainability 13, no. 2: 804.

Articles
Published: 20 February 2020 in Economic Geography
Reads 0
Downloads 0

The recent surge in populist movements sweeping many countries has brought into focus the issue of regional inequality. In this article, we develop a panel data set for Canada that includes information on 284 regions observed at 5-year intervals (from 1981 to 2011) and estimate a series of spatial econometric models to study the causes and consequences of regional inequality. Our results draw attention to the fact that the rise in inequality at the national level has been accompanied by greater cross-regional inequality. Differences in the level of economic development, precariousness of labor market conditions, and socioeconomic factors are among the key drivers of these regional patterns of inequality. We also find that the industrial mix of a region plays an important role in shaping its distribution of income: regions with high concentrations of manufacturing activities typically have lower levels of inequality, whereas regions with high concentrations of tertiary services, arts, and entertainment, as well as knowledge-intensive business services tend to have higher levels of inequality. In terms of the consequences of inequality, the growth/equity trade-off across Canadian regions varies significantly over the short- vs. medium-term horizons. In the short run, our results suggest that inequality is positively related to regional economic growth. This response changes as we move to a medium-term horizon, which suggests that as inequality persists over longer periods of time, it has a negative and significant impact on regional growth trajectories. Panel vector autoregressive models are also used to further explore the direction of causality of the growth-inequality relationship.

ACS Style

Yannick Marchand; Jean Dubé; Sébastien Breau. Exploring the Causes and Consequences of Regional Income Inequality in Canada. Economic Geography 2020, 96, 83 -107.

AMA Style

Yannick Marchand, Jean Dubé, Sébastien Breau. Exploring the Causes and Consequences of Regional Income Inequality in Canada. Economic Geography. 2020; 96 (2):83-107.

Chicago/Turabian Style

Yannick Marchand; Jean Dubé; Sébastien Breau. 2020. "Exploring the Causes and Consequences of Regional Income Inequality in Canada." Economic Geography 96, no. 2: 83-107.

Journal article
Published: 23 December 2019 in Land Use Policy
Reads 0
Downloads 0

This work provides a long-term study of housing development in the Brest region (France). Its main objective is to test the efficiency of the French laws and of urban planning bylaws to control housing development in the coastal zone. Based on the yearly status of available plots, a panel longitudinal analysis (1968–2009) is developed. It combines survival analyses with spatial-temporal diffusion indices, to assess their joint effects on the urban form evolution considering accessibility, proximity, spatial contiguity, temporal continuity, edge waves versus leapfrog growth, etc. That allows testing hypotheses about the diffusion processes, and the achievement of sustainable urbanism to increase density, promote adjacency and avoid urban sprawl and its detrimental effects on the environment and climate. The main finding is that national laws need land planning to deploy locally and that municipalities and stakeholders still prefer economic development over environmental conservation. That is putting emphasis on a restricted (short term) view of sustainable development.

ACS Style

Marius Thériault; Iwan Le Berre; Jean Dubé; Adeline Maulpoix; Marie-Hélène Vandersmissen. The effects of land use planning on housing spread: A case study in the region of Brest, France. Land Use Policy 2019, 92, 104428 .

AMA Style

Marius Thériault, Iwan Le Berre, Jean Dubé, Adeline Maulpoix, Marie-Hélène Vandersmissen. The effects of land use planning on housing spread: A case study in the region of Brest, France. Land Use Policy. 2019; 92 ():104428.

Chicago/Turabian Style

Marius Thériault; Iwan Le Berre; Jean Dubé; Adeline Maulpoix; Marie-Hélène Vandersmissen. 2019. "The effects of land use planning on housing spread: A case study in the region of Brest, France." Land Use Policy 92, no. : 104428.

Journal article
Published: 02 August 2019 in Sustainability
Reads 0
Downloads 0

The smart cities are considered to be an engine of economic and social growth. Most countries started to convert their existing cities into smart cities or construct new smart cities in order to improve the quality of life of their inhabitants. However, the problem that facing those countries while applying the concept of smart cities is the costs, especially for the residential sector. Despite the high initial and even operation costs for adopting different technologies in smart housing; the benefits could exceed those costs within the lifespan of the project. This article is shedding the light on the economics of smart housing. This study aims to evaluate the net present value (NPV) of a smart economic housing model to check the viability and feasibility of such projects. The calculation of the NPV based on Monte Carlo simulation provides an interesting methodological framework to evaluate the robustness of the results as well as providing a simple way to test for statistical significance of the results. This analysis helps to evaluate the potential profitability of smart housing solutions. The research ends up by proving the feasibility of this type of project.

ACS Style

Sarah A. Elariane; Jean Dubé. Is Smart Housing a Good Deal? An Answer Based on Monte Carlo Net Present Value Analysis. Sustainability 2019, 11, 4193 .

AMA Style

Sarah A. Elariane, Jean Dubé. Is Smart Housing a Good Deal? An Answer Based on Monte Carlo Net Present Value Analysis. Sustainability. 2019; 11 (15):4193.

Chicago/Turabian Style

Sarah A. Elariane; Jean Dubé. 2019. "Is Smart Housing a Good Deal? An Answer Based on Monte Carlo Net Present Value Analysis." Sustainability 11, no. 15: 4193.

Journal article
Published: 04 October 2018 in Journal of Transport Geography
Reads 0
Downloads 0

Studies have already attempted to measure the impact of the development of a new bus rapid transit (BRT) route on real estate values. So far, results have proven to be generally positive, while the impact varies considerably among cities. One of the reasons explaining such heterogeneity is based on the fact that empirical analyses are conducted for different cities using different methodologies. The paper proposes to deal with two main questions: is the impact of new BRT routes similar over different routes within a given metropolitan area? If not, is the variation of the estimated impact for different BRT routes related to the characteristics of their stops? The empirical analysis is conducted using information on the implementation of seven distinct BRT routes between 1992 and 2011. Using information on single-family housing transactions in the Québec metropolitan area (Canada) between 1986 and 2015 with a difference-in-differences (DID) estimator using a repeated sales approach for seven distinct BRT routes, the empirical investigation reveals that the impact varies between routes and, when significant, the impact is spatially concentrated. An exploratory analysis shows that there exists some statistical relation between characteristics of the stops along the routes and the impact estimated.

ACS Style

Jean Dubé; Eugénie Andrianary; François Assad-Déry; Janie Poupart; Justine Simard. Exploring difference in value uplift resulting from new bus rapid transit routes within a medium size metropolitan area. Journal of Transport Geography 2018, 72, 258 -269.

AMA Style

Jean Dubé, Eugénie Andrianary, François Assad-Déry, Janie Poupart, Justine Simard. Exploring difference in value uplift resulting from new bus rapid transit routes within a medium size metropolitan area. Journal of Transport Geography. 2018; 72 ():258-269.

Chicago/Turabian Style

Jean Dubé; Eugénie Andrianary; François Assad-Déry; Janie Poupart; Justine Simard. 2018. "Exploring difference in value uplift resulting from new bus rapid transit routes within a medium size metropolitan area." Journal of Transport Geography 72, no. : 258-269.

Journal article
Published: 01 July 2018 in Land Use Policy
Reads 0
Downloads 0

This paper proposes to develop a two-step model based on administrative (spatial) micro-data to identify the determinants that makes residential transactions resulting in demolition and reconversion. A logistic model is estimated and serves as a major input to build land use maps to identify where such pattern is more likely to occur in future. The empirical analysis is based on a medium city size (Québec City, Canada) using the yearly tax assessment roll spanning a decade (2006–2016). Results support conclusions from previous studies regarding determinants of demolition, with smaller and older homes having a higher probability of facing such a situation. The results also underline the relative importance of local environment and location as a factor that also influences the probability of facing a demolition. The predictive exercise suggests that future reconversion through demolition should occur around concentrated spots within the city. The paper aims at furnishing tools to planners to localize where potential teardowns should occur over space and allows them to anticipate appropriate politics instead of reacting to a given situation.

ACS Style

Jean Dubé; Sarah Desaulniers; Louis-Philippe Bédard; Antoine Binette; Emmanuelle Leblanc; Alouis-Philippe Bédard. Urban residential reconversion through demolition: A land use model based on administrative spatial micro-data. Land Use Policy 2018, 76, 686 -696.

AMA Style

Jean Dubé, Sarah Desaulniers, Louis-Philippe Bédard, Antoine Binette, Emmanuelle Leblanc, Alouis-Philippe Bédard. Urban residential reconversion through demolition: A land use model based on administrative spatial micro-data. Land Use Policy. 2018; 76 ():686-696.

Chicago/Turabian Style

Jean Dubé; Sarah Desaulniers; Louis-Philippe Bédard; Antoine Binette; Emmanuelle Leblanc; Alouis-Philippe Bédard. 2018. "Urban residential reconversion through demolition: A land use model based on administrative spatial micro-data." Land Use Policy 76, no. : 686-696.

Journal article
Published: 01 April 2018 in Transportation Research Part A: Policy and Practice
Reads 0
Downloads 0

Hedonic pricing models and price equations have been extensively used to retrieve the implicit prices of urban externalities through real estate markets. Many applications have been devoted to investigating the impact of new mass transit systems, such as rail infrastructures. However, the implementation of such infrastructures usually takes some time and markets can react with an anticipation effect that can vary according to the different development phases. Moreover, the impact may be different if it acts as a substitute to existing rapid transit services. This paper focuses on the impact of substituting bus rapid transit (BRT) for light rail transit (LRT) services, taking into account temporal and spatial decomposition of the effect of new urban infrastructures using a spatial difference-in-differences (SDID) estimator based on a repeated sales approach. An empirical investigation is conducted for the case of the implementation of the tramway in Dijon (France) between 2008 and 2012 using apartment transactions occurring between 2001 and 2014. The results indicate that the impact of substituting LRT to BRT is partly anticipated at the construction phase, while the cumulative impact returns a complex pattern where the positive effect is mainly concentrated around stations located in the center of the city.

ACS Style

Jean Dubé; Diègo Legros; Nicolas Devaux. From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect. Transportation Research Part A: Policy and Practice 2018, 110, 73 -87.

AMA Style

Jean Dubé, Diègo Legros, Nicolas Devaux. From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect. Transportation Research Part A: Policy and Practice. 2018; 110 ():73-87.

Chicago/Turabian Style

Jean Dubé; Diègo Legros; Nicolas Devaux. 2018. "From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect." Transportation Research Part A: Policy and Practice 110, no. : 73-87.

Conference paper
Published: 01 January 2018 in 25th Annual European Real Estate Society Conference
Reads 0
Downloads 0
ACS Style

Jean Dubé; Diego Legros; Sotirios Thanos. Same difference: A unifying framework for house value predictions through hedonic pricing, nearest neighbours, and comparable sales. 25th Annual European Real Estate Society Conference 2018, 1 .

AMA Style

Jean Dubé, Diego Legros, Sotirios Thanos. Same difference: A unifying framework for house value predictions through hedonic pricing, nearest neighbours, and comparable sales. 25th Annual European Real Estate Society Conference. 2018; ():1.

Chicago/Turabian Style

Jean Dubé; Diego Legros; Sotirios Thanos. 2018. "Same difference: A unifying framework for house value predictions through hedonic pricing, nearest neighbours, and comparable sales." 25th Annual European Real Estate Society Conference , no. : 1.

Journal article
Published: 01 January 2018 in Revue d’Économie Régionale & Urbaine
Reads 0
Downloads 0
ACS Style

Cédric Brunelle; Jean Dubé. De l’importance de la proximité dans la capacité de résister aux chocs exogènes. Revue d’Économie Régionale & Urbaine 2018, Décmbr, 1 .

AMA Style

Cédric Brunelle, Jean Dubé. De l’importance de la proximité dans la capacité de résister aux chocs exogènes. Revue d’Économie Régionale & Urbaine. 2018; Décmbr (5):1.

Chicago/Turabian Style

Cédric Brunelle; Jean Dubé. 2018. "De l’importance de la proximité dans la capacité de résister aux chocs exogènes." Revue d’Économie Régionale & Urbaine Décmbr, no. 5: 1.

Articles
Published: 21 November 2017 in Spatial Economic Analysis
Reads 0
Downloads 0

Recent methodological developments provide a way to incorporate the temporal dimension when accounting for spatial effects in hedonic pricing. Weight matrices should decompose the spatial effects into two distinct components: bidirectional contemporaneous spatial connections; and unidirectional spatio-temporal effects from past transactions. Our iterative estimation approach explicitly analyses the role of time in price determination. The results show that both spatio-temporal components should be included in model specification; past transaction information stops contributing to price determination after eight months; and limited temporal friction is exhibited within this period. These findings highlight the decidedly non-linear temporal patterns of such information effects.

ACS Style

Jean Dubé; Diègo Legros; Sotirios Thanos. Past price ‘memory’ in the housing market: testing the performance of different spatio-temporal specifications. Spatial Economic Analysis 2017, 13, 118 -138.

AMA Style

Jean Dubé, Diègo Legros, Sotirios Thanos. Past price ‘memory’ in the housing market: testing the performance of different spatio-temporal specifications. Spatial Economic Analysis. 2017; 13 (1):118-138.

Chicago/Turabian Style

Jean Dubé; Diègo Legros; Sotirios Thanos. 2017. "Past price ‘memory’ in the housing market: testing the performance of different spatio-temporal specifications." Spatial Economic Analysis 13, no. 1: 118-138.

Chapter
Published: 31 July 2017 in Advances in Geographic Information Science
Reads 0
Downloads 0

Empirical applications using individual spatial data pooled over time usually neglect the fact that such data are not only spatially localized: they are also collected over time, i.e. temporally localized. So far, little effort has been devoted to proposing a global way for dealing with spatial data (cross-section) pooled over time, such as real estate transactions, business start-up, crime and so on. However, the spatial effect, in such a context, can be decomposed in two different components: a multidirectional spatial effect (same time period) and a unidirectional spatial effect (previous time period). Based on real estate literature, this chapter presents different spatio-temporal autoregressive (STAR) models and shows how spatial econometrics models can be extended for empirical investigation. Using a Monte Carlo experiment, we underline the effect of neglecting the decomposition of the spatial effect on the bias of the autoregressive coefficients as well as on the interpretation of the marginal effect. An empirical experiment using apartment sales in Paris between 1990 and 2003 supports the global results obtained through the Monte Carlo experiment.

ACS Style

Jean Dubé; Diégo Legros. Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time. Advances in Geographic Information Science 2017, 373 -394.

AMA Style

Jean Dubé, Diégo Legros. Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time. Advances in Geographic Information Science. 2017; ():373-394.

Chicago/Turabian Style

Jean Dubé; Diégo Legros. 2017. "Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time." Advances in Geographic Information Science , no. : 373-394.

Journal article
Published: 16 June 2017 in Buildings
Reads 0
Downloads 0

It is now almost impossible to deal with spatial data without considering some explicit specification that captures possible spatial effects. One valuable feature of spatial econometrics models is their decomposition of marginal effects into spatial spillover effect and spatial externalities. Progress in interpreting spatial econometrics models has now been extended to the spatial-panel case. However, little consideration has been given to the possible interpretation of models using spatial data pooled over time. This paper proposes a spatio-temporal difference-in-differences (STDID) estimator to measure the effect of urban externalities, such as transport infrastructures, as revealed through real-estate prices. Based on an empirical application for a new development of commuter trains in the Montreal suburbs, this paper shows how such propositions can help us to better understand and evaluate changes in mass transit systems.

ACS Style

Jean Dubé; Diègo Legros; Marius Thériault; François Des Rosiers. Measuring and Interpreting Urban Externalities in Real-Estate Data: A Spatio-Temporal Difference-in-Differences (STDID) Estimator. Buildings 2017, 7, 51 .

AMA Style

Jean Dubé, Diègo Legros, Marius Thériault, François Des Rosiers. Measuring and Interpreting Urban Externalities in Real-Estate Data: A Spatio-Temporal Difference-in-Differences (STDID) Estimator. Buildings. 2017; 7 (4):51.

Chicago/Turabian Style

Jean Dubé; Diègo Legros; Marius Thériault; François Des Rosiers. 2017. "Measuring and Interpreting Urban Externalities in Real-Estate Data: A Spatio-Temporal Difference-in-Differences (STDID) Estimator." Buildings 7, no. 4: 51.

Journal article
Published: 01 June 2017 in Journal of Transport Geography
Reads 0
Downloads 0
ACS Style

Nicolas Devaux; Jean Dubé; Philippe Apparicio. Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013. Journal of Transport Geography 2017, 62, 8 -19.

AMA Style

Nicolas Devaux, Jean Dubé, Philippe Apparicio. Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013. Journal of Transport Geography. 2017; 62 ():8-19.

Chicago/Turabian Style

Nicolas Devaux; Jean Dubé; Philippe Apparicio. 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013." Journal of Transport Geography 62, no. : 8-19.

Journal article
Published: 01 February 2017 in Botany
Reads 0
Downloads 0

Herbarium specimens can be used to reconstruct spatiotemporal changes in plant morphology caused by environmental pressures. The reliability of herbarium-derived data requires evaluation, because specimen collection is subject to biases. We used herbarium and field data to investigate the impact of large herbivore browsing on the size of a forb. White trillium (Trillium grandiflorum (Michaux) Salisbury) was studied because the impacts of white-tailed deer (Odocoileus virginianus Zimmermann) browsing on this species are well-known. A total of 692 herbarium specimens collected in Quebec (Canada) were used to evaluate leaf area. Leaf area values of herbarium specimens were compared with those of modern (2013, 2014) specimens collected in sites either with >8 deer per square kilometre or without deer. Flowering individuals in modern sites with deer had a significantly lower leaf area than herbarium specimens and modern specimens collected in sites without deer. The distribution of white trillium individuals in deer sites was also skewed towards plants with a smaller leaf area. Herbarium specimens may offer unique and inexpensive data, compared with methods traditionally used to assess the impacts of herbivores on plants, such as exclosures or clipping experiments. Unfortunately, this rich data source is seriously jeopardized by the downtrend in specimen collecting.

ACS Style

Marie-Pierre Beauvais; Stéphanie Pellerin; Jean Dubé; Claude Lavoie. Herbarium specimens as tools to assess the impact of large herbivores on plant species. Botany 2017, 95, 153 -162.

AMA Style

Marie-Pierre Beauvais, Stéphanie Pellerin, Jean Dubé, Claude Lavoie. Herbarium specimens as tools to assess the impact of large herbivores on plant species. Botany. 2017; 95 (2):153-162.

Chicago/Turabian Style

Marie-Pierre Beauvais; Stéphanie Pellerin; Jean Dubé; Claude Lavoie. 2017. "Herbarium specimens as tools to assess the impact of large herbivores on plant species." Botany 95, no. 2: 153-162.

Journal article
Published: 01 November 2016 in Applied Geography
Reads 0
Downloads 0
ACS Style

Philippe Apparicio; Thi-Thanh-Hien Pham; Anne-Marie Séguin; Jean Dubé. Spatial distribution of vegetation in and around city blocks on the Island of Montreal: A double environmental inequity? Applied Geography 2016, 76, 128 -136.

AMA Style

Philippe Apparicio, Thi-Thanh-Hien Pham, Anne-Marie Séguin, Jean Dubé. Spatial distribution of vegetation in and around city blocks on the Island of Montreal: A double environmental inequity? Applied Geography. 2016; 76 ():128-136.

Chicago/Turabian Style

Philippe Apparicio; Thi-Thanh-Hien Pham; Anne-Marie Séguin; Jean Dubé. 2016. "Spatial distribution of vegetation in and around city blocks on the Island of Montreal: A double environmental inequity?" Applied Geography 76, no. : 128-136.

Journal article
Published: 19 October 2016 in The Canadian Geographer/Le Géographe canadien
Reads 0
Downloads 0

L'article cherche à identifier les facteurs de croissance, dont notamment la taille de départ, de 135 agglomérations canadiennes pour la période 1971–2011 en s'appuyant sur des modèles économétriques de croissance urbaine. Les modèles sont estimés pour toute la période et pour deux sous périodes. La croissance urbaine est exprimée de deux façons distinctes. La première, plus classique, regarde la croissance de la population (en %) alors que la seconde examine les changements de rang (croissance ordinale). La confrontation des résultats en fonction de la variable dépendante fait ressortir le rôle, bien qu'indirect, de la taille comme facteur d'explication. D'une part, nos résultats confirment l'absence d'un lien direct entre taille et croissance, conforme à d'autres études. D'autre part, la transformation de la variable dépendante (en unité de rang ou en observation pondérée) laisse entrevoir un effet positif de taille. Using an econometric urban growth model, the analysis seeks to identify the determinants of growth for 135 Canadian urban areas over a 40-year period (1971–2011). Models are estimated for the whole period and for two sub-periods. The dependent variable (urban growth) is defined in two distinct ways: more traditionally, as percentage population changes, and as rank changes (ordinal growth). Comparing results with different dependent variables brings out the indirect role of (initial) urban size as a determinant of growth. On the one hand, the results confirm the absence of a direct relationship between initial size and growth, in line with other studies. On the other hand, results with alternative dependent variables (rank changes or weighted observations) point to a positive size effect.

ACS Style

Jean Dubé; Mario Polèse. À propos du rôle de la taille dans la croissance urbaine : Une analyse pour 135 agglomérations canadiennes entre 1971 et 2011. The Canadian Geographer/Le Géographe canadien 2016, 60, 541 -555.

AMA Style

Jean Dubé, Mario Polèse. À propos du rôle de la taille dans la croissance urbaine : Une analyse pour 135 agglomérations canadiennes entre 1971 et 2011. The Canadian Geographer/Le Géographe canadien. 2016; 60 (4):541-555.

Chicago/Turabian Style

Jean Dubé; Mario Polèse. 2016. "À propos du rôle de la taille dans la croissance urbaine : Une analyse pour 135 agglomérations canadiennes entre 1971 et 2011." The Canadian Geographer/Le Géographe canadien 60, no. 4: 541-555.

Journal article
Published: 01 May 2016 in Regional Science and Urban Economics
Reads 0
Downloads 0

International audienceRelationships between past events, future expectations and present decisions, typically examined through a temporal prism within applied economics, have been lately moving to the spatial dimension through spatial econometrics. However, violations of the “arrow of time”, and thus causality, have been identified in spatial econometric techniques applied to spatio-temporal data consisting of observations each at a specific location and distinct moment in time. A comprehensive review classifies for the first time several redresses to this issue in a currently fragmented literature. This paper puts back the temporal dimension into spatial Hedonic Pricing models through a unique specification of a spatio-temporal model that successfully isolates three distinct effects. First, past sale prices affecting current prices, which exemplifies the “sales comparison” approach. Second, a contemporaneous peer effect that is occurring within the narrow time frame of interaction between market participants prior to a sale. Third, the signals of sellers' expectations are captured in the asking prices of other houses not yet sold, while the buyer is active in the market. This affects the final sale price, due to strategic behavior and anchoring. This is the first instance that effects other than the own asking price can be handled in such models. In “boom” market conditions, this mechanism introduces the expectation of increasing prices to the hedonic price function, potentially contributing to housing market “bubble” propagation

ACS Style

Sotirios Thanos; Jean Dubé; Diègo Legros. Putting time into space: the temporal coherence of spatial applications in the housing market. Regional Science and Urban Economics 2016, 58, 78 -88.

AMA Style

Sotirios Thanos, Jean Dubé, Diègo Legros. Putting time into space: the temporal coherence of spatial applications in the housing market. Regional Science and Urban Economics. 2016; 58 ():78-88.

Chicago/Turabian Style

Sotirios Thanos; Jean Dubé; Diègo Legros. 2016. "Putting time into space: the temporal coherence of spatial applications in the housing market." Regional Science and Urban Economics 58, no. : 78-88.