Abstract
We study the decision problems faced by a city authority (CA) who focuses on two different objectives in her attempt to attract members of the creative class to her city by providing a local public good (LPG). First, we compute the maximum tax that a creative class member is willing to pay to enjoy the LPG on offer by living in the CA’s city. Second, assuming that the CA acts like a “monopolist” interested in maximizing the total benefit to her city, we determine the number of members N to attract to her city and the amount of the LPG L to provide so that the total benefit is maximized. Third, supposing that the CA maximizes the welfare of an individual member, we ascertain the values of N and L that maximize this individual welfare. Finally, we compare and contrast the outcomes that arise from the CA’s focus on these two distinct objectives.
The eminent physicist Albert Einstein once said that “creativity is contagious, pass it on.” The urbanist Richard Florida would, most likely, agree with this statement. Indeed, in his copious writings about creative people and creativity—see Florida (2002, 2003, 2005, 2008, 2014)—Florida has suggested to students of regional economic development that cities and regions that hope to prosper in this age of globalization need to first understand that creativity is contagious and then put in place policies that will attract different kinds of creative people who, as it turns out, often like to live and work together.
In other words, cities and regions need to do all they can to attract and retain members of what he calls the creative class. The creative class “consists of people who add economic value through their creativity” (Florida 2002, 68). In particular, this class is composed of specialists such as engineers, information technology professionals, medical doctors, scientists, university professors, and, markedly, bohemians such as artists, musicians, and sculptors.
In this article, we do not quibble with Florida’s central policy prescription stated above but concentrate on two questions that follow naturally once one acknowledges Florida’s position about the centrality of the creative class for the economic vibrancy of cities. The first question is as follows: “What specifically might a city authority (CA) do to attract the creative class?” Since attracting the creative class is generally not costless for cities, the second question is as follows: “How many members of the creative class should a CA seek to attract?”
Research by Buettner and Janeba (2016), Batabyal and Beladi (2019), Batabyal, Kourtit, and Nijkamp (2019), and Batabyal and Yoo (2020a, 2020b) has shed light on the first question by pointing out that local public goods (LPGs) 1 such as museums, high-quality educational institutions, theaters, and public transit can be used by a CA to carry out the “attract” task. 2
In this regard, Batabyal, Kourtit, and Nijkamp (2019) study a model in which the creative class members are able to migrate between the two cities under study. In this setting, they first delineate the equilibrium distribution of the creative class in the two cities and then determine the conditions under which the provision of an LPG is efficient. Batabyal and Beladi (2019) build on this work and analyze a model of competition between two cities that use a LPG to draw in members of the creative class. They follow Batabyal and Beladi (2018) and partition the total creative class population into “artists” and “engineers.” They then carry out the remainder of their analysis with a representative artist and a representative engineer.
Batabyal and Yoo (2020a) demonstrate that the use of a “representative artist and engineer” modeling strategy can lead one to focus on an inefficient equilibrium in the combined economy of two cities. Finally, Batabyal and Yoo (2020b) also analyze a model with two cities and point out that the provision of the LPG in either city is inefficient because the CA is able to choose only the optimal amount of the LPG to provide and not, also, the optimal number of creative class members to attract to her city.
This review of the literature leads to two conclusions. First, some researchers have now studied the pros and cons of a CA using a LPG to attract members of the creative class to a city. Second, despite the finding in Batabyal and Yoo (2020b) stated in the preceding paragraph, there is no research on the question about how many creative class members a CA ought to attract to her city when she is able to choose both the number of members to draw in and the quantity of a LPG to provide. Therefore, our objective in this article is to use a simple theoretical framework and shed light on this question.
The remainder of this article is arranged as follows: The “Preliminaries” section delineates our stylized model of the interaction between a CA and members of the creative class. The section titled “The Tax” ascertains the maximum tax that a creative class member is willing to pay to enjoy the LPG on offer by residing in the CA’s city. The “Monopoly” section first assumes that the CA acts like a “monopolist” interested in maximizing the total benefit to her city and then determines the number of members N to attract to her city and the amount of the LPG L to provide so that this total benefit is maximized. The “Individual Welfare” section first supposes that the CA maximizes the welfare of an individual member and then ascertains the values of N and L that maximize this individual welfare. The “Monopoly versus Individual Welfare” section compares and contrasts the outcomes that arise from the CA’s focus on the two distinct objectives studied in the “Monopoly” and the “Individual Welfare” sections. Finally, the “Conclusions” section concludes and then suggests four ways in which the research delineated in this article might be extended.
The Theoretical Framework
Preliminaries
Batabyal and Yoo (2020b) rightly point out that the creative class, in general, is made up of an assortment of specialists such as bankers, engineers, medical doctors, sculptors, university professors, and is therefore heterogeneous. That said, a city that is looking to bring together members of the creative class is generally not looking to bring together every possible type of member. In other words, a city like New York is more likely to be interested in attracting bankers and, in contrast, a city like Los Angeles is probably more interested in drawing in film industry professionals. In addition, even if a CA wanted to attract multiple types of creative class members to her city, it is difficult to believe that she would be able to do so by offering a single LPG.
Hence, to focus our ensuing discussion, we suppose that a CA is looking to attract a particular subset of members of the creative class such as bankers or sculptors. Because these members are either all bankers or all sculptors, and so and so forth, we can think of this subset as a homogeneous set of individuals.
Now, consider a city with a CA. We denote the LPG that is provided by this CA to the relevant creative class members by L We assume that
where
Inspecting equation (1), we see that an individual creative class member’s utility is (i) increasing in both the quantity of the LPG or L that is provided and in his personal income I, (ii) decreasing in the maximum tax τ that he has to pay, and (iii) decreasing in the number of creative class members N that are living in the city. This last property captures the idea that when a sculptor, for instance, is deciding whether to pay the tax τ for the LPG offered by the CA and live in this city, he takes into account how many other sculptors there already are and too many sculptors make the city “congested with sculptors” and hence attenuates his utility. 3
With this description of the theoretical framework out of the way, 4 our next task is to ascertain the maximum tax that a creative class member is willing to pay to enjoy the LPG on offer by residing in the CA’s city.
The Tax
An arbitrary member of the creative class will agree to live in the city under study if and only if his utility from doing so is at least as big as not doing so or his reservation utility. Mathematically, this means that the maximum tax levied by the CA on this creative class member must satisfy the inequality
Rewriting the inequality in equation (2) in order to isolate the tax τ we get
From equation (3), it should be clear to the reader that the maximum tax that a creative class member will be willing to pay to live in the city under study is
Inspecting equation (4), it is straightforward to verify two points. First, the higher the amount of the LPG or L that is provided by the CA, the greater is the maximum tax that any creative class member is willing to pay. Second, the larger the number of creative class members living in this city, the greater is the congestion factor we alluded to in the “Preliminaries” section and hence the lower is the maximum tax that an arbitrary creative class member is willing to pay.
We now proceed to analyze a setting in which the CA acts like a “monopolist” and chooses the LPG L and the number of members N to attract to her city to maximize the total benefit accruing to the city from these two optimal choices.
Monopoly
Before we compute the total benefit to the CA, we’ll need to specify what it costs her to provide the LPG L to the creative class members. To this end, we suppose that it costs the CA L + N to provide the LPG and thereby “run” her city. With this cost specification, the total benefit B to the CA is given by
We now substitute the value of τ from equation (4) into equation (5). This gives us
The CA chooses L and N to maximize the total benefit function given by equation (6). 5
Differentiating the maximand in equation (6) with respect to L and N gives us the two first-order necessary conditions for a maximum. 6 These two conditions are as follows:
and
Simplifying equations (7) and (8) gives us the optimal values of the LPG or
and
Recall from equation (1) that the marginal utility to a creative class member from an incremental increase in the number of members resident in the city or
Similarly, from equation (1), we know that the marginal utility to a creative class member from an incremental increase in the amount of the LPG that is provided or
Inspecting equation (11), we see that an increase in the marginal utility from the LPG increases the optimal amount of the LPG or
Finally, equation (10) tells us that an increase in the marginal utility from the LPG or β lowers the total benefit maximizing number of creative class members attracted by the CA to the city under study. We now study a setting in which the CA focuses on the welfare of an individual creative class member and then ascertains the values of N and L that maximize this individual welfare.
Individual Welfare
In contrast to the “Monopoly” section, we now suppose that the CA concentrates on the welfare of an individual member and then ascertains the values of N and L that maximize this individual welfare. The cost of providing the LPG and thereby “running” her city is now shared equally by all the resident creative class members who are assumed to have identical preferences. This means that the charge levied upon a member living in the city is
The first-order necessary conditions for an optimum are 7
and
Simplifying equations (13) and (14), we see that optimality calls for setting
and
Our final task in this article is to compare and contrast the results of this individual welfare maximization case with the corresponding results obtained in the “monopoly” case analyzed in the “Monopoly” section.
Monopoly versus Individual Welfare
From equation (15), we see that as in the “Monopoly” section, the individual welfare maximizing level of the LPG or
Next, comparing equations (10) and (16), we see that the optimal number of creative class members who are attracted to and live in the city under study or
Finally, comparing equations (9) and (15), we confirm that unlike the above result for
Conclusions
In this article, we studied the decision problems faced by a CA who focused on two different objectives in her attempt to attract members of the creative class to her city by providing a LPG. First, we computed the maximum tax that a creative class member was willing to pay to enjoy the LPG on offer by living in the CA’s city. Second, assuming that the CA acted like a “monopolist” interested in maximizing the total benefit to her city, we determined the number of members N to attract to her city and the amount of the LPG L to provide so that this total benefit is maximized. Third, supposing that the CA concentrated on the welfare of an individual member, we ascertained the values of N and L that maximized this individual welfare. Finally, we compared and contrasted the outcomes that arose from the CA’s focus on these two distinct objectives.
The analysis in this article can be extended in a number of different directions. Here are four potential extensions: first, it would be interesting to model the interaction between a CA and creative class members in an intertemporal setting and to then analyze the time paths of the optimal amount of the LPG that is provided and the optimal number of members that are attracted to the city. Second, it would also be informative to partition the creative class population into different clusters and to then examine how successful a CA is in attracting these different clusters of members to her city with a LPG and other fiscal policy instruments such as tax breaks and subsidies. Third, one could analyze the interaction between a CA and creative class members as in Oladi (2005). Finally, with regard to the analysis in the “Individual Welfare” section, one could follow the approach in Beladi and Oladi (2014) and examine a situation in which the resident creative class members have heterogeneous preferences. Studies that analyze these aspects of the underlying problem will provide additional insights into the nature of the static and the intertemporal dealings between creative class members and city authorities.
Footnotes
Acknowledgments
I thank the Editor-in-Chief Tony Grubesic and two anonymous reviewers for their helpful comments on a previous version of this article. In addition, I acknowledge financial support from the Gosnell endowment at RIT. The usual disclaimer applies.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study received funding from the Gosnell endowment at RIT.
