Marija BockarjovaUniversity of Twente | UT · International Institute for Geo-Information Science and Earth Observation (ITC)
Marija Bockarjova
PhD
Assistant Professor in Land and Urban Economics;
FOCAL AREA: Environmental Economics
About
43
Publications
25,583
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Introduction
Marija Bočkarjova is Assistant Professor in Land and Urban Economics at the University of Twente, Faculty of Geo-Information Systems and Earth Observation (ITC). Marija is engaged in educational and research activities around various topics in environmental economics such as nature-based solutions, major natural disasters and their impact on modern economies, sustainable transportation, sustainable living environment, urban nature and environmental valuation.
Additional affiliations
June 2021 - present
Position
- Professor (Assistant)
Description
- To ensure a full pallet of relevant disciplines linked to the focus areas of urban and regional planning and land administration, I bring an economic perspective to the understanding of urban and land development processes, considering their social and ecological values and impacts. This perspective will also contribute to other fields at ITC, for instance, payments for ecological services and disaster risk assessment. My core mission is to initiate, acquire and implement new research, education
Education
September 2002 - June 2007
September 2000 - June 2002
September 1996 - June 2000
Publications
Publications (43)
Understanding the dynamics between public disaster assistance, disaster damages, and social vulnerability at county-level is crucial for designing effective disaster mitigation strategies. This study utilized the Local Bivariate Moran Index (LBMI) and geographically weighted regression (GWR) models to examine spatial patterns and relationships betw...
The context of daily household needs of rural communities, particularly the needs for water, often remains insufficiently considered in tropical forest management as it is facing an important decision-making trade-off between profit and preservation. We conducted a choice experiment study to elicit preferences of the rural community members in Cent...
While current climate and environmental efforts are mostly focused on the necessary and urgent CO2 emissions cuts, energy transition and climate adaptation, other not least pressing issues such as air quality start reaching the political agenda (European Commission, 2019). In this paper, we address air pollution from the social welfare perspective...
This presentation describes the climate and environmental change essence and establishes a link to economy and business in the context of Europe and Latvia. Hands-on insights for sustainable business transformation are provided.
Although green interventions, like nature-based solutions, contribute to more sustainable urban environments and provide ecosystem services to urban populations, some impacts are not well understood. This particularly applies to social impacts in the domain of environmental justice, including (green) gentrification. Gentrification refers to a proce...
There is an increased interest in applying nature for addressing various urban challenges, such as those related to air pollution, climate change, and health, but the economic value of urban nature is not always well recognized. In this study we present a meta-analysis of a rapidly expanding literature that applied stated preference valuation metho...
An example of a benefit transfer for the case of Strasbourg is presented using a BTF from Bockarjova et al. (2020, https://doi.org/10.1016/j.ecolecon.2019.106480). The Benefit Transfer Method has generated an up-to-date value transfer function through which we can monetise the benefits that urban nature-based solutions produce for the public. This...
This study aims at estimating relationships between property prices and different types of urban nature, and illustrates the applicability of the derived value transfer functions. While green interventions contribute to more resilient and sustainable urban environments and provide multiple ecosystem services to urban populations, some impacts are n...
This spring, Rethinking Economics NL comes back with its biggest annual event, the Rethinking Economics Festival! In pursuit of shedding light on economic realities around the world, and fostering an environment of fruitful debates, we’re bringing you interesting talks that reflect the diversity of economic contexts!
In this article, we propose an integrated direct and indirect flood risk model for small-and large-scale flood events, allowing for dynamic modeling of total economic losses from a flood event to a full economic recovery. A novel approach is taken that translates direct losses of both capital and labor into production losses using the Cobb-Douglas...
Present report describes the Financial and Economic Value database (FEVD) collected during the first
stage of the NATURVATION project. The FEVD includes monetary values of nature-based solutions
together with respective sources and methods by which these values were obtained. The database
and the report directly address the main objective of WP1 of...
The transition from fuel cars to electric cars is a large-scale process involving many interactions between consumers and other stakeholders over decades. To explore how policies may interact with consumer behavior over such a long time period, we developed an agent-based social simulation model. In this model, detailed data of 1795 respondents hav...
Dit onderzoek is deel van NETSPAR small vision grants “Woonvermogen en langdurige zorg”. Onderzoeksvragen zijn: - Hoe verhouden zich vermogen (uit eigen huis) tegen het gebruik van LDZ onder de ouderen? - Wat is de simultane verdeling van LDZ kosten en eigen bijdragen aan zorg onder de ouderen aan de ene kant EN hun vermogen aan de andere kant?
We focus on two central aspects of long-term care (LTC) policy change: the housing situation of elderly people and wealth distribution of elderly people in connection to their use and expenditure of LTC. -Elderly people have a strong preference to staying put / ageing in place. -Elderly people are myopic in their housing & care decisions. Often, th...
This paper addresses two important questions. First, how does (housing) wealth relate to the need and use of long term care (LTC) among the elderly? And second, what is the simultaneous distribution of LTC costs and out-of-pocket-payments on the one hand, and (housing) wealth among the elderly on the other hand? Our findings reveal that mean LTC co...
Dit paper modelleert de adoptie van elektrische auto’s in Nederland aan de hand van de innovatietheorie van Rogers (Rogers, 2003). Hierbij verdelen we de potentiële consumenten onder in vijf adoptiesegmenten die systematisch verschillen in psychologische en demografische kenmerken. Met behulp van een stated preference-onderzoek hebben we de individ...
In this article, we propose an integrated direct and indirect flood risk model for small-and large-scale flood events, allowing for dynamic modeling of total economic losses from a flood event to a full economic recovery. A novel approach is taken that translates direct losses of both capital and labor into production losses using the Cobb-Douglas...
In this paper we apply the updated consumat approach to the case of diffusion of electric cars. We will discuss how data from a large sample can be used to parameterize a number of main behavioural drivers, and how these relate to behavioural processes. At this stage we explain how the data fit in the framework, and whereas a model is currently und...
We study long-term care demand in the Netherlands for a sample of elderly Dutch households using detailed administrative data. Long-term care in the Netherlands is provided by a public health care system that is generous in comparison to that in many other countries, but offers few possibilities for differentiation. Moving to a nursing home is gene...
In this paper, we develop a dynamic innovation diffusion framework to model adoption of full electric vehicles in the Netherlands. Three major phases of adoption are distinguished: introduction, growth and maturity. Adoption stages are further integrated into an SP study to
elicit individual preferences for conventional, hybrid and full electric ve...
In this paper, we apply a dynamic innovation diffusion framework to model adoption of full electric vehicles where we explicitly distinguish three major phases of adoption: introduction, growth and maturity. We combine this approach with an SP study to elicit individual preferences for conventional, hybrid and full electric vehicles. We apply a nes...
In this paper we use data from an SP study on flood safety in the Netherlands, and elicit individual preferences for reduction of risk to life and limb. We perform context analysis to test the robustness of fatality risk valuation throughout choice experiments. The main interest of this paper is VOSL sensitivity to the valuation of correlated risks...
This paper enriches existing valuation literature in a number of ways by presenting context-specific estimates of immaterial damage. First, it offers an estimation of value of statistical life (VOSL) in the context of a natural hazard (flooding). Next, as one of the contributions, alongside with less biased estimate of VOSL (euro 6.8 mln) it also p...
The focus of this programme was on the development of decision making tools based on cost benefit analysis under uncertainty, for analysing adaptation and mitigation options related to spatial planning in the Netherlands. The full programme focused on the methodological issues for cost benefit analysis (CBA) and multi-criteria analysis (MCA) in a s...
Nederland wordt in de wereld vaak als leidend gezien op het gebied van overstromingsbeleid. Honderden jaren van ervaring met dijken, pompen en dammen hebben het beeld gecreëerd dat Nederland buitengewoon succesvol opereert in het tegengaan van overstromingen. Bij het voeren van dergelijk beleid wordt verwacht dat naast technische oplossingen voor h...
This paper presents a model developed in the Netherlands for the estimation of damage caused by floods. The model attempts to fill the gap in the international literature about integrated flood damage modelling and develop an integrated framework for the assessment of both direct hazard-induced damages and indirect economic damages such as the inte...
It seems that large-scale disasters are becoming an inevitable part of modern societies. Major calamities such as earthquakes, typhoons, and tsunamis are endangering the lives of many people and their possessions all over the world. Some of the most obvious questions to address are: How vulnerable are modern economies to extreme events? And: In whi...
In this paper we focus on the consequences of a major catastrophe for a modern economy, where 'major' means that a significant part of the economy's productive capacity is lost. In the aftermath of the catastrophe, authorities have to address a great number of issues. We show, using basic principles, that input-output methodology offers a flexible...
The paper’s main concern is to establish a general methodology for economic loss estimation as a result of a large-scale flooding.
The issue of economic loss definition is addressed in an attempt to unify the scattered definitions currently circulating
in the ‘disaster’ literature. Total effect includes the direct loss to households and government,...
Protection from the threats posed by water in the Netherlands has a centuries old history. Remarkably, if one takes a historical prospective, it becomes apparent that water protection policy has not changed much through time. In fact, one may detect a certain “path dependency”. Today many experts agree that “technocratic” philosophy of raising dike...
Input-output analysis (I-O) is increasingly used in studies of sudden catastrophes such as earthquakes, hurricanes, or, in the case of The Netherlands, major flooding. Unfortunately, in catastrophe analysis, there is no general consensus over the points of departure. Therefore, we need a basic notion of “where to start from”. One task the I-O model...
Questions
Question (1)
Hi everyone,
I am wondering whether STATA already has a functionality to estimate latent class model for binary choice data. And further, latent class with class membership model. Which version of STATA should be used then?
thanks in advance, Marija