Projekty badawcze
Introducing material flows into macro-evolutionary models: a study of the circular economy
UMO-2019/35/B/HS4/00140 - OPUS
Introducing material flows into macro-evolutionary models: a study of the circular economy
UMO-2019/35/B/HS4/00140 - OPUS
Aggregate and redistributive effects of non-income related cash benefits
UMO-2019/35/D/HS4/02043 - SONATA
Aggregate and redistributive effects of non-income related cash benefits
UMO-2019/35/D/HS4/02043 - SONATA
Vengeance, gender and demographical characteristics - research withusage of experimental and behavioral economics methods
UMO-2019/35/N/HS4/04048 - PRELUDIUM
Vengeance, gender and demographical characteristics - research withusage of experimental and behavioral economics methods
UMO-2019/35/N/HS4/04048 - PRELUDIUM
The objective of the project is to contribute to understanding of negative reciprocity. In general,reciprocity can affect the relationships in groups, by strengthening the norms accepted by environment.However it could be a hard task, for an outside observer, to identify the patterns for this phenomenon on thebasis of observations from e.g. workplaces or any other real-life environments focused on team-work. To overcome this difficulty experimental methods might be used, as they provide an easier way to quantify allobserved decisions.
The project will consist of empirical analysis of the decisions of the participants of the "Ten to One" quiz showand a laboratory experiment which will help to understand how reciprocity might affect delegation of unwantedtasks. The usage of game show data allows for a much larger and more diversified sample than available inthe lab.
The greater heterogeneity of the sample is evident especially in terms of age, occupational status, andeducation. Thanks to its clear rules, decisions made by players are easily observable and quantifiable. Inaddition, the researcher has full knowledge of the information on which these decisions have been based.What's more, the stake for which contestants compete in the trivia game show is much higher than what isachievable in the lab. Because in the case of using this data source, the researcher has no influence on thedesign of the game itself, laboratory experiments in economics are a complementary method, allowing forbroadening the analysis of conditions that could potentially modify the behavior of individuals, which were notobservable during the game show. In addition, confirming the results from the field in a laboratory experimentprovides additional validation of the conclusions.Decisions in “Ten to one” consist of nominations of the participant who will answer the next question. Since thisreduces one’s probability of winning the episode, nomination of a player who has previously nominated thedecision maker can be considered as a case of negative reciprocity or simply: revenge. In addition, the resultsof the behavioral analysis of the participants’ decisions taken in the game show will be supported by alaboratory experiment in order to investigate how the gender composition of a group affects that type ofbehavior. A theoretical model of negative-reciprocity, established as a part of this project, will be then used totest how that phenomenon can influence decisions on allocation of unwanted tasks. For this purpose, alaboratory experiment will be conducted, in which participants will face the problem common in every team-oriented work – how to delegate tasks differing in attractiveness and profitability amongst group members.3. Expected impact of the research project on development of science.In some labor market conditions, the presence of described attitudes might be significant, thus it is useful toknow the relationship between the characteristics of individuals and the probability of negative reciprocity andits link with delegating unwanted tasks.
To the author’s best knowledge, this is the first study of negativereciprocity based on game show data. Time horizon of the sample may also allow for an attempt to identifychanges in the negative reciprocity patterns over the past 25 years, which may be particularly interesting froman interdisciplinary perspective. What is more, although the subject of unwanted tasks was previouslyinvestigated, it was rarely analyzed whether there are any factors which might attract decision-makers to paymore attention to the optimal task allocation. Therefore, the value added of this project is the attempt to fill thisgap in state of the art.
The knowledge on how to improve the effectiveness of allocation of unwanted tasks(expressed as overall performance reached by a team in which tasks were varying from attractive to unwantedones) might also improve the decisions in the area of managing teams at workplace. The project, due to itsinnovative potential, could be presented at foreign academic conferences and international conferencesorganized in Poland. Potential places to publish the results are good field journals
Government-subsidized old-age saving instruments with voluntaryparticipation: effective or not. Reconciling the conflicting empirical data onthe crowd-out effect
UMO-2019/35/N/HS4/03286 - OPUS
Government-subsidized old-age saving instruments with voluntaryparticipation: effective or not. Reconciling the conflicting empirical data onthe crowd-out effect
UMO-2019/35/N/HS4/03286 - OPUS
The nature of saving for old age is elusive to economists because it may take many forms. A household mayaccumulate assets which they plan to consume when old and unable to work in the form of real estate, whichis also durable consumption good. People may invest not only in financial markets, but also considerable effortand assets may be invested into one’s human capital, or into the human capital of one’s children. Hence, thevery nature of old-age saving makes it difficult to draw causal relationships between incentives to save andhousehold saving behavior (for an extended review of those issues see Engen et al., 1994). The primarymotivation to accumulate assets in life-cycle models is to smooth consumption between periods with high andlow income. Overlapping generations models (OLG) allow placing this mechanism in the context of the entireeconomy (see Auerbach et al., 1987). Fully rational homo oeconomicus sets the optimal level of savings basedon his time preference and interest rates. Such consumer will not respond to instruments whose objective is toraise savings, because they have already optimized their lifetime consumption and leisure paths (see Gale andScholz, 1994; Conesa and Garriga, 2008; Kitao, 2014). If the incentives provided in the instrument make itmore advantageous than saving in other forms, households will simply transfer their assets to the instrument(see Poterba et al., 1995; Butler, 2001). Hence, unless the method of implementation generates strong generalequilibrium effects, instruments aiming at raising voluntary savings for the old-age have a neutral effect on boththe whole economy and households’ savings for the old age.Meanwhile, empirical studies investigating the crowd-out effect caused by the introduction of government-subsidized old-age saving instruments with voluntary participation report a significant and very diversifiedimpact of such instruments on total household savings.
Only a few studies indicate the so-called full crowd-out(for example Gale and Scholz, 1994, data from Survey of Consumer Finance and analysis of IRAs in the USA).Relatively high crowd-out is suggested also by Engen and Gale (2000) related to the 401(k) plans in the USA.Other estimates suggest a significantly lower crowd-out. Poterba et al. (1995) evaluate the net effect of 401(k)contributions on personal saving by comparing the financial assets of families who are eligible for 401(k) withthe assets of those who are not eligible and find little evidence that 401(k) contributions substitute for otherforms of personal saving. Venti and Wise (1990) analyze crowd-out in IRAs based on Consumer ExpenditureSurveys data and report it to amount only 4%-5%. Messacar (2018) and Yang (2016) estimate the crowd-outeffect caused by employee pension programs in Canada and Taiwan, respectively, indicating the crowd-out ofaround 50%-60%.The hypotheses are as follows:
1. Introduction of the instruments leads to an increase in pension wealth of incompletely rational households.
2. The instruments introduce positive effects for the whole economy.3. The instruments may affect the economic inequality in the society in both directions decrease it, as well asincrease it.The most important expected theoretical outcome of this project is the analysis of how different types ofincomplete rationality impact the effectiveness of the instruments. An in-depth analysis within the frameworkproposed will make it possible to determine the conditions which the households’ decision-making process hasto fulfil for such instruments to be effective (e.g. increase the amount of accumulated old-age savings).
Also, amechanism will be proposed which is the source of conflicting empirical estimates of the crowd-out effect. Thediscussion regarding the size of the crowd-out effect of the instruments (e.g. 401(k) and IRAs) slackenedwithout clear resolution. Most of the studies involved in this discussion were empirical (see Engen et al., 1994;Hubbard and Skinner, 1996; Ayuso et al., 2007; Engen and Gale, 2000; Poterba et al., 1995). Using astructural model of economy allows for full tractability of all the effects of the instruments. Therefore,pinpointing possible sources of conflicting empirical evidence may be possible
From Knowledge Networks to Inter-Regional Innovation Systems in the context of Devolution of Powers to Regions
UMO-2019/35/B/HS5/04010 - OPUS
From Knowledge Networks to Inter-Regional Innovation Systems in the context of Devolution of Powers to Regions
UMO-2019/35/B/HS5/04010 - OPUS
Regional Knowledge is essential in order to remain competitive and economically resilient in a globalised business environment. Intra and inter-regional knowledge exchange and networks have recently gained attention particularly given the devolution of power to local governments across Europe.
So far, these studies have focused on networks of individual organisations from different regions rather than on knowledge exchange in networks of collective regional groups of organisations. Therefore, this project will examine knowledge exchange in networks of regional groups of organisations from different regions, which are defined as Knowledge Networks of Regions (KNoRs). It will also examine whether and how these networks behave as systems, which will enhance our understanding of how to improve knowledge exchange between regions.
The project’s outcome will feed into a wide range of fields including economics, sociology, governance, regional and organisational studies. It will build on concepts of regional innovation systems, cross border regional innovation systems and relevant studies undertaken by the applicant. It will also suggest the new concept of Inter-Regional Innovation Systems (IRIS), which will provide a novel contribution to the conceptualization of how regions exchange knowledge and pursue joint innovation processes. It will enhance our understanding of interregional knowledge exchange and the ramifications for both economic and societal challenges. To increase the generalisability of the project representation of two different contexts KNoRs in two different geopolitical contexts; where devolution is relatively at its beginning (Poland) and the UK, where devolution is at an advanced stage, will be examined. The impact of devolution of power on the participation and engagement in knowledge networks and systems will be identified. Finally, it will suggest some policy implications for the management and operation of knowledge networks and systems in general and advancing knowledge exchange and innovation among regions in particular.
Birth spacing and women’s labor market outcomes
UMO-2019/35/B/HS4/01535 - OPUS
Birth spacing and women’s labor market outcomes
UMO-2019/35/B/HS4/01535 - OPUS
Economic determinants and consequences of ‘populism’.
UMO-2019/35/B/HS4/01527 - OPUS
Economic determinants and consequences of ‘populism’.
UMO-2019/35/B/HS4/01527 - OPUS
Welfare impact of docklessness in shared micromobility solutions,characteristics of trips, and relationship to public transport
UMO-2019/35/N/HS4/01976 - PRELUDIUM
Welfare impact of docklessness in shared micromobility solutions,characteristics of trips, and relationship to public transport
UMO-2019/35/N/HS4/01976 - PRELUDIUM
As cities become ever more crowded, geometric constraints make last-mile problem of difference betweenplace of exit from means of transportation to a particular destination worse. In smart cities, mobility is beingtransformed by new micro-mobility technologies such as shared bicycles (docked) and e-scooters (dockless),promising to lessen this problem. These two facts have opposite implications welfare-wise for groups of urbandwellers.
Cities are also resource-constrained. Regulators often redistribute welfare from one group to anotherto achieve greater aggregate welfare, when they introduce bus lanes costing car drivers street real estate orprohibit car traffic on some streets entirely, creating a safe environment for pedestrians. Measuring economicimpact of changes, apart from its intrinsic scientific value, enables policymakers to make data-driven decisions.Cities produce massive amounts of data, which has characteristics of "big data": massive volume, highvelocity, considerable variety. Bridging the gap between social sciences and big data is a challenge worthundertaking, as it can deliver solutions for unsolved problems.Transportation economists have been researching time valuations of different parts of journey (in-vehicle,transfer, walking) for public transport in depth, there is extensive knowledge about cars as well. Small, but non-negligible distances commuters experience on bicycles or e-scooters are meanwhile uncertain. Thesedistances may increase or decrease through policy actions.
Bicycles have to be returned to docks in traditionalsharing systems. E-scooters are currently dockless, which is more convenient and increases welfare for users,but also results in "scooters blocking pedestrian space, and broken scooters [being] left abandoned" (Laker,2019)?. They pose a danger to vulnerable groups, such as the visually impaired: even parking near the wall isnot optimal, as the blind use walls to navigate with a stick (Russell, 2019). They could be forced to park only indesignated spaces, equivalent to docks, in order to stop blocking sidewalks and improve city aesthetics.The main research question is: what is the difference in welfare increase for shared micro-mobility usersbetween dockless and docked systems? Docks have particular characteristics: distance required to walk fromdocks to destination, obstacles like traffic lights between docks and destination, and how easy it is to noticedocks. Valuations of characteristics related to walking short distances would be elicited from a discrete choiceexperiment, designed with help of data about e-scooters and shared bicycles destinations, existing bicycleparkings, existing shared bicycle docks, and OpenStreetMap maps. Welfare impact can be measuredcombining these valuations with revealed data from bicycle and e-scooter usage: e-scooters’ parking placesrepresent exact destinations users want to visit.
Constraining them to park in the designated spaces wouldforce them to walk, and the surplus they currently achieve from being allowed to park anywhere can becalculated by adding the walk valuations together. Similarly, shared bicycle users could park closer to theirdestinations, which are unknown, but can be approximated by e-scooters’ destinations close to the dock.
Onceagain, the sum would be computed under appropriate assumptions.Features of e-scooters enable us to conduct previously unattainable research. In contrast to large carsstruggling to find underpriced parking space and public transport stopping only at stations, unregulated e-scooters deliver previously unavailable data about exact destinations. High cost of shared e-scooter tripsreduces the demand for recreational trips with less important time valuation. E-scooters do not require physicaleffort and can be used by more people and in more situations than shared bicycles. The market for sharedmobility is distorted through subsidies and delivers only information about difference between dockless electricscooters and docked bicycles, a vast majority of which is non-electric, and characteristics of docks are neithereasily separable nor controllable.
The topic of e-scooters is in vogue and our results will have strongimplications irrespective on whether the valuations turn out to be statistically significant or not
Welcome to Poland
PPI/WTP/2020/1/00063/U/00001 - NAWA
Welcome to Poland
PPI/WTP/2020/1/00063/U/00001 - NAWA
The aim of the project is to build the international potential of the WNE University, especially in terms of improving the effectiveness of recruitment activities carried out with regard to candidates from abroad and creating conditions for establishing direct contacts between WNE research staff and partners from other countries, as well as building the WNE's potential in terms of welcoming and serving foreign students, doctoral students and teaching staff. (website, online marketing, spots, podcast, etc.)
Contracts 2.0 Co-design of novel contract models for innovative agri-environmentalclimate measures and valorisation of environmental public goods
818190 - HORYZONT 2020
Contracts 2.0 Co-design of novel contract models for innovative agri-environmentalclimate measures and valorisation of environmental public goods
818190 - HORYZONT 2020