Abstract
We consider the role of a nonlinear commuting cost function in determination of the equilibrium commuting pattern where all agents are mobile. Previous literature has considered only linear commuting cost, where in equilibrium, all workers are indifferent about their workplace location. We show that this no longer holds for nonlinear commuting cost. The equilibrium commuting pattern is completely determined by the concavity or convexity of commuting cost as a function of distance. We show that a monocentric equilibrium exists when the ratio of the firm agglomeration externality to commuting cost is sufficiently high. We also show that equilibrium residential land rent is decreasing and convex in distance to the business district under concave commuting cost given that the total land used for offices is smaller than that used for housing. Finally, we find empirical evidence of both long and short commutes in equilibrium, implying that the commuting cost function is likely concave.
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Notes
We adopt this particular definition of “cross commuting,” consistent with Fujita and Thisse (2013), but to avoid confusion we note that this term has been used in many ways in the literature. We shall return to this terminological issue shortly.
Although Lucas and Rossi-Hansberg use a time cost of commuting that is exponential in commuting distance, by taking logarithms of their equations, for example (3.3) and (3.4), we obtain a linear wage no-arbitrage equality.
For simplicity of this statement, we implicitly assume that the total land used by all firms and the total land used by all consumers are the same. Our model is more general than this.
Although Ogawa and Fujita (1980) allowed endogenous lot sizes for firms in a technical sense, since output of each firm is assumed to be constant and there is a fixed coefficient production technology in land and labor, in fact the land and labor demand of firms are fixed.
If firms and workers are spatially integrated, then the only possible spatial equilibrium is where each worker commutes distance 0. In that case, the equilibrium and model are not very interesting for the purpose of analyzing commuting patterns.
An exception is Fujita-sensei, who does most of his research on trains.
Implicit in this definition is the idea that all consumers at one location commute to the same work location. In fact, this will hold in equilibrium.
The convex and concave commuting cost function cases are, in essence, not symmetric relative to each other. The reason is that in equilibrium, the set of distances at which we evaluate the commuting cost functions are different.
Urban economists are accustomed to convex rent curves due to substitution between land and other consumption when rents fall as we move to the edge of the city. In our model, there is no substitution between commodities, so bid rent curves are linear with linear commuting cost, reflecting only the nonlinearity inherent in commuting cost.
Kendall’s \(\tau _{c}\) statistic is a nonparametric test for correlation between two empirical variables that is rank based. Thus, it would usually be used to compare two columns of numbers. Our data are a \(3\times 9\) matrix. What the test statistic does in our context is aggregate across locations the differences in counts between cross commuters and parallel commuters, normalized by sample size.
Using data from 1995, we have obtained almost the same result: \(\tau _{c}=-0.0149\), ASE \(=\) 0.00228, and \(\tau _{c}/\hbox {ASE}=-6.54\).
In the case where the business district and residential area are fixed by zoning, we do not need to worry about firms moving into the residential area nor about workers moving into the business district, and our model becomes much simpler. Specifically, in the case of \(T^{\prime \prime }>0\), a sufficient condition for existence of equilibrium is \(M\cdot A(b)\ge N\cdot g\), whereas for the case of \(T^{\prime \prime }<0\), a sufficient condition for existence of equilibrium is \(M\cdot A(b)\ge N\cdot T(B)\). Of course, this requires strong enforcement of zoning and perfect knowledge on the part of the zoning board concerning the number of firms and consumers as well as their land use. It could well be that the equilibrium with mobility of agents is not monocentric.
If the city configuration is not monocentric, we can infer from our work the following commuting patterns:
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(i)
The commuting pattern is a replica of the monocentric one in the case of a duocentric or tricentric configuration.
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(ii)
There is no commuting in the case of a fully integrated configuration.
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(iii)
The commuting pattern is a combination of (i) and (ii) in the case of an incompletely integrated configuration.
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(i)
If we were to fix the locations of all agents in a monocentric configuration, it would be possible to recast our commuting pattern function in the context of a continuous two-sided matching or assignment problem; see Sattinger (1993). In that case, parallel commuting corresponds roughly to positive assortative matching (in location) whereas cross commuting corresponds roughly to negative assortative matching. But our problem and model are actually a good deal more complicated than this. The matching problem neglects both the inter-firm externality as well as the land market and rents. In essence, in the context of a matching model, our model involves the endogenous choice of agent characteristic (location) as well as an externality between certain agents’ choices.
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We thank the associate editor, an anonymous referee, Kristian Behrens, Rainald Borck, Shota Fujishima, Masahisa Fujita, Yannis Ioannides, Dan McMillen, Giordano Mion, Tomoya Mori, and Pierre Picard for helpful comments, implicating only ourselves for any errors.
Appendix
Appendix
Proof of Proposition 3
We focus on locations in \( \mathbb {R} _{+}\). The technique of proof that equilibrium exists is guess and verify. For \(b<x\le B\), define
The function f is arbitrary otherwise. Hence, for \(0\le y\le b\), \( f^{-1}(y)=B-\frac{Ns_\mathrm{w}}{Ms_\mathrm{f}}y\). For \(x>B\), define \(r(x)=0\).
Integrating (7), we obtain:
where \(C_{a}\) is a constant of integration.
where \( C_{b}=\frac{1}{s_\mathrm{w}}\left( C_{a}-\overline{z}\right) \).
Observe that the residential land rent is decreasing and convex in x.
Since \(r(B)=0\) in (11), we get \(C_{b}=\frac{N}{2B}T\left( B\right) \). Plugging \(C_{b}\) into (11) yields our final expression for rent (12):
Using the profit function and the fact that the rent for consumers and producers must be equal at b,
If we substitute (10) into (13), we obtain
Using \(r(y)=r(x)\) evaluated at \(y=x=b\), we obtain
Then
a function of only exogenous parameters. So \( \overline{z}\) can be found as only a function of exogenous parameters by plugging R into (5).
Thus, w(y) (\(0\le y\le b\)) is a function of only exogenous variables.
Notice that (4) and (14) imply that profits are constant on \(0\le y\le b\), namely
Hence,
To show that this represents an equilibrium, we must verify that \(\overline{ \varPi }\ge 0\), \(\overline{z}\ge 0\), that no consumer wishes to move to [0, b] , and that no firm wants to move to \((b,\infty )\).
We verify that what we have constructed is an equilibrium. In the case of \(T^{\prime \prime }<0\), the total land rent is
So (5) can be rewritten as
The condition for spatial equilibrium is then given by
(i) First, we seek no-deviation condition of a firm. Suppose a firm deviates to from \(y\in [0,b]\) to \(x\in (b,B]\). We compute the wage w(x) that makes a worker indifferent if she residing at \(x_{1}\in [b,B]\) shifts her workplace from \(y\in [0,b]\) to \(x\in [x_{1},B] \). We can focus on the interval of \(x_{1}\in [x,B]\).
If she works at \(y=f(x_{1})\), her consumption of composite good is
On the other hand, if she works at x, her consumption of composite good is
Because \(\overline{z}_{b}=\overline{z}_{a}\) for equal utility, the wage offered by a firm at location x for a worker at location \(x_{1}\) should satisfy
The profit of a firm relocating from y to x is
The no-deviation condition is given by \(\varPi (x,x_{1})\le \overline{\varPi },\ \forall b\le x,x_{1}\le B\). We have
because \(x_{1}-f(x_{1})>x_{1}-x\) and \(T^{\prime \prime }\left( x\right) >0\). This implies \(x_{1}=B\) is the minimizer of \(\varPi (x,x_{1})\). Hence, the no-deviation condition is:
We have
Then, (16) can be rewritten as
for all \(x\in (b,B]\). This is rewritten as
and \(G_{1}\) is finite and differentiable with respect to \(x\in (b,B]\).
If we plug \(x=B\) into (17), we get \(M\left[ A(0)-A\left( B\right) \right] -NT\left( B\right) \ge 0\), which is stricter than the previous condition (15).
(ii) Second, we consider no-deviation condition of a worker. Suppose a worker deviates to from \(x\in [b,B]\) to \(y_{1}\in [0,b)\). The consumption of composite good before deviation was \(\overline{z} _{b}(y)=w(y)-r(f^{-1}(y))s_\mathrm{w}-T\left( f^{-1}(y)-y\right) \). On the other hand, the consumption of composite good after deviation is \(\overline{z} _{a}(y,y_{1})=w(y)-r(y_{1})s_\mathrm{w}-T\left( \left| y-y_{1}\right| \right) \). Let \(y_{1}=y_{1}^{*}\) be the maximizer of \(\overline{z} _{a}(y,y_{1})\). For a symmetric monocentric spatial equilibrium, the consumption of composite good before deviation is not smaller than that after deviation. That is, \(\overline{z}_{b}(y)\ge \overline{z} _{a}(y,y_{1}^{*}),\ \forall y\in [0,b)\), or
for all \(y\in [0,b)\). This is rewritten as
and \(G_{2}\) is finite and differentiable with respect to y, \(y_{1}\in [0,b)\).
Hence, the conditions for a symmetric monocentric spatial equilibrium are given by (17) and (18).
Next, we show that there is no cross commuting in any symmetric, monocentric equilibrium. Thus, the equilibrium specified above is the only one.
In equilibrium, for a worker residing at x to prefer commuting to y instead of \(\widetilde{y}\), the following should hold:
In equilibrium, for a worker residing at \(\widetilde{x}\) to prefer commuting to \(\widetilde{y}\) instead of y, the following should hold:
Hence,
should hold for all x.
Suppose that there is parallel commuting. Then for some \(y<\widetilde{y} \le x<\widetilde{x}\), we have
because \(x-\widetilde{y}<x-y\) and \(T^{\prime \prime }(x)<0\). We also have \( \varphi (\widetilde{x})=0\), and thus \(\varphi (x)<0\) for all \(x<\widetilde{x} \), which contradicts \(\varphi (x)\ge 0\).
Hence, there is only cross commuting at a symmetric, monocentric equilibrium. Thus, we conclude that the only such equilibrium is the one we have specified. \(\square \)
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Berliant, M., Tabuchi, T. Equilibrium commuting. Econ Theory 65, 609–627 (2018). https://doi.org/10.1007/s00199-017-1032-5
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DOI: https://doi.org/10.1007/s00199-017-1032-5