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Inter-industry trade and heterogeneous firms: country size matters

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Abstract

This study investigates how industries with different patterns of firm heterogeneity distribute across countries by developing a three-sector general-equilibrium model. We show that the larger country is more specialized in the industry with heterogeneous (homogeneous) firms when trade costs are low (high) and that an increase in the inter-industry difference in firm heterogeneity fosters the larger country’s degree of specialization in the industry with heterogeneous firms. We also disclose the wage inequality and trade patterns across countries and show how they respond to trade liberalization.

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Notes

  1. An exception is Erhardt (2017), which studies the home market effect in a comprehensive multi-sector model with various degrees of firm heterogeneity. However, her main focus is the impact of firm heterogeneity on the home market effect, instead of the inter-industry trade across countries.

  2. This body of literature includes Amiti (1998), Ricci (1999), and Laussel and Paul (2007), to name a few.

  3. Alternatively, we could assume that the firms in both manufacturing industries are heterogeneous in productivity. However, this makes the model too heavy to provide any tractable results. By assuming homogeneous firms in one of the manufacturing industries, this simply reflects the inter-industry difference in firm heterogeneity and offers us more tractable results without losing many of the intuitive implications.

  4. Without loss of generality, the number of skilled workers is normalized to one for simplicity.

  5. As in Ricci (1999), we set the expenditure share on IRS goods to be less than half to keep the A goods produced in both countries and maintain nominal wage equalization. This is called “non-full-specialization” condition in literature, and is sometimes implicitly assumed in related studies, e.g., Demidova (2008). For the intermediate results, please reference Baldwin and Krugman (2004, footnote 5) for more details.

  6. The ‘new’ NTT literature typically assumes the existence of fixed export cost which features the fact that only the high productive firms export. The export selection effect is also crucial to the results in the current model. Without this effect, the cutoff productivity in each country is irrespective of wage rates, and thereby the two countries are symmetric in firm productivity distribution, cutoff productivity, etc., except for the population size. In addition, factors cannot move across countries and, as a result, the larger country is just a scale expansion of the smaller country.

  7. Assuming \(k>2\) is necessary to ensure the Pareto distribution has finite variance. See also Helpman et al. (2004). Meanwhile, as in the literature, we impose \(k>\sigma -1\) to ensure that the integrals of the average productivity of the Pareto distribution converge.

  8. Alternatively, we could also assume firm heterogeneity in Industry 2; however, this makes the model too complicated to provide any tractable results. It also becomes difficult to capture how a change in the inter-industry difference in firm heterogeneity affects industrial specialization and trade patterns. By contrast, by assuming homogeneous firms in Industry 2, it serves as a benchmark case, which provides us more tractable results as well as insights into how the inter-industry difference in firm heterogeneity affects specialization and trade patterns across countries during trade liberalization.

  9. We have normalized units of variety to reduce mathematical expressions. Please note that such normalization in the Dixit–Stiglitz sector do not reduce the generalities of the model (See Baldwin et al. 2003, Chapter 2).

  10. Please reference the equation 8 in Melitz (2003, p.1702) for the conditional distribution of \(\varphi\).

  11. If \(w_h=w_f\), we have \(\varphi _h^*=\varphi _f^*\) such that \(\varphi _{fx}^*>\varphi _h^*\) implies \(\varphi _{fx}^*>\varphi _f^*\), whereas \(\varphi _{hx}^*>\varphi _f^*\) implies \(\varphi _{hx}^*>\varphi _h^*\), which ensures that exporting firms also serve the domestic market. If \(w_h\ne w_f\), we show \(\varphi _{hx}^*>\varphi _{f}^*>\varphi _{h}^*\) and provide the sufficient and necessary conditions of \(\varphi _{fx}^*>\varphi _{f}^*\) in the Online Appendix. In the literature, the condition of \(\varphi ^*_{hx}>\varphi ^*_{fx}>\varphi ^*_{f}>\varphi ^*_{h}\) is implicitly assumed in studies such as Erhardt (2017).

  12. Breinlich (2006) and Head and Mayer (2006) find that wages increase with market access using EU data and exploiting both cross-sectional and time series variation. Head and Mayer (2011) also confirm the strong correlation between changes in income and changes in market access by exploiting a country-level panel dataset.

  13. For given \(\phi\) and k, the wage differential increases with the relative market size of the larger country, i.e., \(\lambda\). This result is also reported by Laussel and Paul (2007, Proposition 1) in a two-industry NTT model with a single factor. Intuitively, for a given relative wage rate, an increase in the relative size of the larger country leads to an increase in its number of firms in both sectors and to a decrease of that in the smaller country. As a result, there will be an excess demand for labor in the larger country and an excess labor supply in the smaller country. In order to clear the labor markets, the wages in the larger country must increase relative to that in the smaller country.

  14. Using Eq. (7), we have \(\left( \frac{\varphi _h^*}{\varphi _{hx}^*}\right) ^k<\left( \frac{\varphi _f^*}{\varphi _{fx}^*}\right) ^k\), where the inequality stems from \(w_h/w_f>1\). Intuitively, exporters in the larger country are put at a disadvantage when competing in foreign market, where firms can produce at lower costs. However, exporters in the smaller country can easily bear trade costs given that their competitors produce with higher costs. Moreover, the average level of productivity in the larger country is lower and, therefore, only a small proportion of the most productive firms can export. As a result, the export probability is lower in the larger country.

  15. Appendix A analytically derives \(\frac{\partial (w_h/w_f)}{\partial \phi }\big |_{\phi =0}>0\) and \(\frac{\partial (w_h/w_f)}{\partial \phi }\big |_{\phi =1}<0\). For intermediate values of trade freeness, the related results are shown by numerical experiments.

  16. This is because \(\varphi _h^*\) is lower than \(\varphi _f^*\), as shown by Eq. (7) and \({\tilde{\varphi }}_h/\varphi _h^*={\tilde{\varphi }}_{f}/\varphi _{f}^*=[k/(k-\sigma +1)]^{1/(\sigma -1)}\). Intuitively, firms in the larger country enjoy a better market access and, as a result, even less productive firms can recover their fixed costs and enter the market.

  17. In addition, the last four columns in Table 3 of Erhardt (2017) show that, for the sub-samples with a higher trade openness, one can observe a greater positive effect of productivity dispersion on sectoral agglomeration.

  18. The possibilities of corner equilibria are examined in Online Appendix.

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Acknowledgements

We thank the editor, Shingo Ishiguro, two anonymous referees, and conference and seminar participants for their valuable comments and suggestions. All remaining errors are our own. Financial support from the National Natural Science Foundation of China [grant numbers: 71663023, 71703034] is gratefully acknowledged.

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Appendices

Appendices

1.1 Appendix A. Proof of Proposition 1

We first consider the interior equilibrium with \(n_{1j}>0\) and \(n_{2j}>0\). For Eqs. (8), (9), (10), mirror expressions exist for country f, which are, respectively, given as

$$\begin{aligned}&Y_f \alpha \beta =n_{1f}\left( \frac{\tilde{\varphi _f}}{\varphi _f^*} \right) ^{\sigma -1}\sigma f w_f+n_{1h}\left( \frac{\varphi _h^*}{\varphi _{hx}^*} \right) ^k\left( \frac{\tilde{\varphi _{hx}}}{\varphi _{hx}^*} \right) ^{\sigma -1}\sigma f_x w_h, \end{aligned}$$
(A.1)
$$\begin{aligned}&\sigma w_f=\left( \frac{p_{2ff}^{1-\sigma }Y_f}{P_{2f}^{1-\sigma }}+\phi \frac{p_{2ff}^{1-\sigma }Y_h}{P_{2h}^{1-\sigma }}\right) \alpha (1-\beta ), \end{aligned}$$
(A.2)
$$\begin{aligned}&1-\lambda =n_{1f}f+\left( \frac{\varphi _f^*}{\varphi _{fx}^*} \right) ^k n_{1f}f_x+(\varphi _f^*)^k n_{1f}f_e+n_{2f}. \end{aligned}$$
(A.3)

By plugging Eqs. (4)–(6) into Eqs. (8)–(10) and (A.1)–(A.3), the six variables \(n_{1h}\), \(n_{1f}\), \(n_{2h}\), \(n_{2f}\), \(w_h\) and \(w_f\) are endogenously determined by the six equations. Suppose \(w_h=w_f\) for \(\phi \in (0,1)\), Eqs. (8)–(10) and (A.1)–(A.3) solve

$$\begin{aligned} n_{2h}=-\left( \frac{{{{\mathcal {H}}}}\phi ^{\frac{k-\sigma +1}{\sigma -1}}}{1-{{{\mathcal {H}}}}\phi ^{\frac{k-\sigma +1}{\sigma -1}}}\right) [\lambda -(1-\lambda )\phi ]<0, \end{aligned}$$

which contradicts with \(n_{2h}>0\). Therefore, we have \(w_h\ne w_f\) for \(\phi \in (0,1)\) in the interior equilibrium. On the other hand, at \(\phi =0\), Eqs. (8)–(10) and (A.1)–(A.3) uniquely solve

$$\begin{aligned}&w_h=w_f=\frac{L \alpha }{\sigma -\alpha }, \quad n_{1h}=\frac{\beta \lambda (k-\sigma +1)}{f k}, \quad n_{2h}=\lambda (1-\beta ), \end{aligned}$$
(A.4)
$$\begin{aligned}&n_{1f}=\frac{\beta (1-\lambda ) (k-\sigma +1)}{f k}, \quad n_{2f}=(1-\beta )(1-\lambda ). \end{aligned}$$
(A.5)

By total differentiating Eqs. (8)–(10) and (A.1)–(A.3) w.r.t. \(\phi\), the derivatives of \(w_j\) w.r.t. \(\phi\), when \(\phi\) is close to zero, are derived as

$$\begin{aligned} \frac{\partial w_h}{\partial \phi }\bigg |_{\phi \rightarrow 0}=\frac{L \alpha \sigma (1-\beta )(2\lambda -1)}{\lambda (\sigma -\alpha )^2}>0, \quad \frac{\partial w_f}{\partial \phi }\bigg |_{\phi \rightarrow 0}=-\frac{L \alpha \sigma (1-\beta )(2\lambda -1)}{(1-\lambda ) (\sigma -\alpha )^2}<0. \end{aligned}$$
(A.6)

Using Eqs. (A.4), (A.6), we derive

$$\begin{aligned} \frac{\partial (w_h/w_f)}{\partial \phi }\bigg |_{\phi \rightarrow 0}=\frac{ \sigma (2 \lambda -1)(1-\beta )}{\lambda (1-\lambda )(\sigma -\alpha )}>0. \end{aligned}$$

Therefore, at \(\phi\) close to zero, we have \(w_h>w_f\). Together with the result above, because of the continuity, we have \(w_h>w_f\) for \(\phi \in (0,1)\). Furthermore, at \(\phi\) close to zero, we derive

$$\begin{aligned} \frac{\partial (w_h/w_f)}{\partial k}\bigg |_{\phi \rightarrow 0}=\frac{- \beta \sigma (2 \lambda -1) {{{\mathcal {H}}}}\phi ^{\frac{k}{\sigma -1}}}{k \lambda (1-\lambda )(\sigma -\alpha )}<0, \end{aligned}$$

which implies that a smaller k brings to a higher \(w_h/w_f\) when \(\phi\) is close to zero. Meanwhile, at \(\phi =1\), total differentiating Eqs. (8)–(10) and (A.1)–(A.3) w.r.t. \(\phi\) yields

$$\begin{aligned} \frac{\partial (w_h/w_f)}{\partial \phi }\bigg |_{\phi =1}=-(2\lambda -1)<0. \end{aligned}$$

It implies that \(w_h/w_f\) increases with \(\phi\) at \(\phi\) close to 0, and decreases with \(\phi\) at \(\phi\) close to 1.

We then consider the case of corner equilibrium.Footnote 18 Denote the threshold value of trade freeness at which \(n_{1f}=0\) by \(\phi ^\sharp\). For \(\phi \in (\phi ^\sharp ,1)\), we have \(n_{1f}=0\), \(n_{1h}>0\) and \(n_{2j}>0\). Suppose \(w_h=w_f\equiv w\) when \(\phi \in (\phi ^\sharp ,1)\). Plugging \(n_{1f}=0\) and Eq. (A.3) into Eqs. (9) and (A.2) solves

$$\begin{aligned} n_{2h}=\frac{(1-\lambda ) [\lambda -(1-\lambda ) \phi ]}{1-\lambda -\lambda \phi } \quad \text {and}\quad w=\frac{L \alpha (1-\beta ) (1-\lambda -\lambda \phi )}{\sigma [1-\lambda -(1-\lambda )\phi ]-\alpha (1-\beta ) (1-\lambda -\lambda \phi )}. \end{aligned}$$
(A.7)

As a result, Eqs. (8), (10), (A.1) together give

$$\begin{aligned} {{{\mathcal {G}}}}\equiv (L+w) \alpha \beta \left[ 1+\frac{\lambda (\sigma -1)\left( 1+ {{{\mathcal {H}}}} \phi ^{\frac{k}{\sigma -1}} \right) }{k-\sigma +1}\right] +(n_{2h}-\lambda ) \left( \frac{k}{k-\sigma +1}\right) \sigma w=0. \end{aligned}$$

By plugging (A.7) into \({{\mathcal {G}}}\), we have

$$\begin{aligned} {{{\mathcal {G}}}}>\frac{\alpha }{(1-\lambda ) (1-\phi )}\left\{ k \phi (2 \lambda -1) -\beta \left[ (1-\lambda )^2 (\sigma -1) (1-\phi )-k (1-\lambda -\lambda \phi )\right] \right\} >0, \end{aligned}$$

where the second inequality comes from the monotonicity of \(\beta\). Note that if \((1-\lambda )^2 (\sigma -1) (1-\phi )-k (1-\lambda -\lambda \phi )>0\), at \(\beta =1\), we have \({{{\mathcal {G}}}}>\alpha [k-(1-\lambda ) (\sigma -1)]>0.\) It contradicts with \({{{\mathcal {G}}}}=0\), and we therefore have \(w_h\ne w_f\) for \(\phi \in (\phi ^\sharp ,1)\).

On the other hand, at \(\phi =1\), Eqs. (9) and (A.2) together give \(w_h=w_f\). By plugging \(n_{1f}=0\) and \(w_h=w_f\) into Eqs. (8)–(10) and (A.1)–(A.3), we solve \(n_{2f}=1-\lambda\) and

$$\begin{aligned}&w_h=w_f=\frac{L \alpha [k+\beta (\sigma -1)(\lambda {{{\mathcal {H}}}}-1+\lambda )]}{ k \sigma -\alpha [k+\beta (\sigma -1)(\lambda {{{\mathcal {H}}}}-1+\lambda ) ]}, \end{aligned}$$
(A.8)
$$\begin{aligned}&n_{2h}=\frac{k (1-\beta )}{k+ \beta (\sigma -1)(\lambda {{{\mathcal {H}}}}-1+\lambda )}-(1-\lambda ), \quad n_{1h}=\frac{\beta \lambda (k-\sigma +1)}{f [k+\beta (H \lambda -1+\lambda ) (\sigma -1)]}. \end{aligned}$$
(A.9)

Total differentiating Eqs. (8)–(10) and (A.2)–(A.3) w.r.t. \(w_h\), \(w_f\) and \(\phi\) at \(\phi =1\) and plugging Eqs. (A.8) into it, we derive

$$\begin{aligned} \frac{\partial (w_h/w_f)}{\partial \phi }\bigg |_{\phi =1}=-(2\lambda -1)<0, \end{aligned}$$

which implies that \(w_h>w_f\) when \(\phi\) is close to 1. Together with the result that \(w_h\ne w_f\) for \(\phi \in (\phi ^\sharp ,1)\), due to the continuity, we know \(w_h>w_f\) when \(\phi \in (\phi ^\sharp ,1)\) in the corner equilibrium of \(n_{1f}=0\). \(\square\)

1.2 Appendix B: Proof of Proposition 2

At \(\phi =0\), by using Eqs. (A.4) and (A.5), we solve \(\eta _{1h}\equiv \frac{n_{1h}}{n_{1h}+n_{1f}}=\lambda\). By total differentiating Eqs. (8)–(10) and (A.1)–(A.3) w.r.t. \(\phi\) and plugging Eqs. (A.4), (A.5) into it, using the definition of \(n_{1j}\), we derive \(\frac{\partial \eta _{1h}}{\partial \phi }\big |_{\phi \rightarrow 0}=-(1-\beta )(2\lambda -1)<0.\) It implies that at \(\phi\) close to zero, we have \(\eta _{1h}<\lambda\). At \(\phi =1\), in interior equilibrium, we solve

$$\begin{aligned}&n_{1h}=\frac{\beta (k-\sigma +1)[\lambda -{{{\mathcal {H}}}}(1-\lambda )]}{f k (1-{{{\mathcal {H}}}}^2)}>0, \quad n_{2h}=\frac{(1-\beta )\lambda (1-{{{\mathcal {H}}}})-\beta (2\lambda -1){{{\mathcal {H}}}}}{1-{{{\mathcal {H}}}}}, \end{aligned}$$
(B.1)
$$\begin{aligned}&n_{1f}=\frac{\beta (k-\sigma +1)(1-\lambda -{{{\mathcal {H}}}}\lambda )}{f k (1-{{{\mathcal {H}}}}^2)}, \quad n_{2f}=\frac{(1-\beta )(1-\lambda )(1-{{{\mathcal {H}}}})+\beta (2\lambda -1){{{\mathcal {H}}}}}{1-{{{\mathcal {H}}}}}>0, \end{aligned}$$
(B.2)

in which the positiveness of \(n_{2h}\) and \(n_{1f}\) is guaranteed by \({{{\mathcal {H}}}}<\min \{\frac{1-\lambda }{\lambda }, \frac{\lambda -\beta \lambda }{\lambda -\beta (1-\lambda )}\}\). By the definition of \(\eta _{1h}\), we have \(\eta _{1h}=\lambda +\frac{{{{\mathcal {H}}}}(2\lambda -1)}{1-{{{\mathcal {H}}}}}>\lambda ,\) at \(\phi =1\). On the other hand, in the case of corner equilibrium \(n_{1f}=0\), for \(\phi \in [\phi ^\sharp , 1)\), we have \(\eta _{1h}=1>\lambda\) by the definition of \(\eta _{1h}\). In both the interior and corner equilibria, because of the continuity of \(\eta _{1h}\), there exists a \(\phi ^*\in (0,1)\) at which \(\eta _{1h}=\lambda\). We have \(\eta _{1h}<\lambda\) when \(\phi\) is close to 0 and \(\eta _{1h}>\lambda\) when \(\phi\) is close to 1.

For the Industry 2, at \(\phi =0\), we solve \(\eta _{2h}\equiv \frac{n_{2h}}{n_{2h}+n_{2f}}=\lambda\) and \(\frac{\partial \eta _{2h}}{\partial \phi }\big |_{\phi \rightarrow 0}=\beta (2\lambda -1)>0\). Therefore, at \(\phi\) close to zero, we have \(\eta _{2h}>\lambda\). At \(\phi =1\), in interior equilibrium, \(\eta _{2h}\) is solved as

$$\begin{aligned} \eta _{2h}=\frac{(1-{{{\mathcal {H}}}})[\lambda -\beta (1-\lambda )]-\beta (2\lambda -1)}{(1-{{{\mathcal {H}}}})(1-\beta )}<\lambda , \end{aligned}$$

where the inequality is from \(\lambda >1/2\). Moreover, in the corner equilibrium, for \(\phi \in [\phi ^\sharp , 1)\), we have \(n_{1f}=0\) and \(n_{2f}=1-\lambda\). Because \(n_{1h}>0\), we have \(n_{2h}<\lambda\) by Eq. (10), which implies

$$\begin{aligned} \eta _{2h}\equiv \frac{n_{2h}}{n_{2h}+n_{2f}}<\frac{\lambda }{\lambda +(1-\lambda )}=\lambda . \end{aligned}$$

In both the interior and corner equilibria, because of the continuity of \(\eta _{2h}\), there exists a \(\phi ^\dagger \in (0,1)\) at which \(\eta _{2h}=\lambda\). We have \(\eta _{2h}>\lambda\) when \(\phi\) is close to 0 and \(\eta _{2h}<\lambda\) when \(\phi\) is close to 1.

Moreover, total differentiating Eqs. (8)–(10) and (A.1)–(A.3) w.r.t. k and plugging Eqs. (A.4), (A.5) into it, by the definition of \(n_{vh}\), we derive

$$\begin{aligned} \frac{\partial \eta _{1h}}{\partial k}\bigg |_{\phi \rightarrow 0}=-\frac{{{{\mathcal {H}}}}}{k}(1-\beta )(2\lambda -1)\phi ^{\frac{k}{\sigma -1}}<0\quad \text {and}\quad \frac{\partial \eta _{2h}}{\partial k}\bigg |_{\phi \rightarrow 0}=\frac{{{{\mathcal {H}}}}}{k}\beta (2\lambda -1)\phi ^{\frac{k}{\sigma -1}}>0. \end{aligned}$$

It implies that a smaller k brings to a higher \(\eta _{1h}\) and a lower \(\eta _{2h}\) when \(\phi\) is close to zero. On the other hand, at \(\phi =1\), in the interior equilibrium, differentiating \(\eta _{vh}\) w.r.t. k yields

$$\begin{aligned} \frac{\partial \eta _{1h}}{\partial k}=-\frac{(2\lambda -1){{{\mathcal {H}}}}\log {\left( \frac{f_x}{f}\right) }}{(\sigma -1)(1-{{{\mathcal {H}}}})^2}<0 \quad \text {and}\quad \frac{\partial \eta _{2h}}{\partial k}=\frac{(2\lambda -1)\beta {{{\mathcal {H}}}}\log {\left( \frac{f_x}{f}\right) }}{(1-\beta )(\sigma -1)(1-{{{\mathcal {H}}}})^2}>0. \end{aligned}$$

In the corner equilibrium of \(n_{1f}=0\), we have \(\eta _{1h}=1\). By using Eq. (A.9), we derive

$$\begin{aligned} \frac{\partial \eta _{2h}}{\partial k}=\frac{\beta (1-\lambda )}{k^2 (1-\beta )}\left[ {{{\mathcal {H}}}} \lambda (\sigma -1+k \log {(f_x/f)})-(1-\lambda ) (\sigma -1)\right] >0, \end{aligned}$$

where the inequality comes from \(k \log {(f_x/f)}>0\) and \({{{\mathcal {H}}}}>\frac{1-\lambda }{\lambda }\) in corner equilibrium. \(\square\)

1.3 Appendix C: Proof of Proposition 4

At \(\phi =0\), we solve \(EX_1(0)=EX_2(0)=0\). At \(\phi\) close to zero, we derive

$$\begin{aligned} EX_1'(\phi )\big |_{\phi \rightarrow 0}=\frac{L k \alpha \beta \sigma {{{\mathcal {H}}}} (2 \lambda -1)}{(\sigma -\alpha ) (\sigma -1)}\phi ^{\frac{k-\sigma +1}{\sigma -1}}>0, \quad EX_2'(\phi )\big |_{\phi \rightarrow 0}=\frac{L \alpha \sigma (1-\beta ) (2 \lambda -1) }{\sigma -\alpha }>0, \end{aligned}$$

which implies that the larger country is a net exporter of both industrial goods when trade costs are close to the level of autarky.

On the other hand, at \(\phi =1\), in the interior equilibrium, by plugging Eqs. (B.1), (B.2) into (11) and (12), we solve

$$\begin{aligned} EX_1(1)=\frac{L \alpha \beta \sigma {{{\mathcal {H}}}}(2\lambda -1)}{(1-{{{\mathcal {H}}}})(\sigma -\alpha )}>0 \quad \text {and}\quad EX_2(1)=-\frac{L\alpha \beta \sigma {{{\mathcal {H}}}}(2\lambda -1)}{(1-{{{\mathcal {H}}}})(\sigma -\alpha )}<0, \end{aligned}$$

which implies that the larger country is a net exporter (importer) of Industry 1 (2) goods when trade costs are close to the level of free trade. Furthermore, total differentiating \(EX_1(1)\) and \(EX_2(1)\) w.r.t. k derives

$$\begin{aligned} \frac{\partial EX_1(1)}{\partial k}=-\frac{L \alpha \beta \sigma \log (f_x/f){{{\mathcal {H}}}}(2\lambda -1)}{(1-{{{\mathcal {H}}}})^2(\sigma -1)(\sigma -\alpha )}<0, \frac{\partial EX_2(1)}{\partial k}=\frac{L \alpha \beta \sigma \log (f_x/f){{{\mathcal {H}}}} (2\lambda -1)}{(1-{{{\mathcal {H}}}})^2(\sigma -1)(\sigma -\alpha )}>0, \end{aligned}$$

which means that a smaller k increases (decreases) the larger country’s net exports of Industry 1 (2) goods when trade costs are close to the level of free trade. On the other hand, in the corner equilibrium of \(n_{1f}=0\), by plugging Eqs. (A.8), (A.9) into (11) and (12), we solve

$$\begin{aligned}&EX_1(1)=\frac{{{{\mathcal {H}}}} k L \alpha \beta \lambda \sigma }{k \sigma -\alpha k-\alpha \beta (\lambda +{{{\mathcal {H}}}} \lambda -1) (\sigma -1)}>0 \quad \text {and} \\&EX_2(1)=-\frac{L \sigma \alpha \beta (1-\lambda ) \left[ k-(1-\lambda -{{{\mathcal {H}}}} \lambda ) (\sigma -1)\right] }{k (\sigma -\alpha )+\alpha \beta (1-\lambda -{{{\mathcal {H}}}} \lambda ) (\sigma -1)}<0, \end{aligned}$$

where the inequalities come from \(k>2\) and \({{{\mathcal {H}}}}>\frac{1-\lambda }{\lambda }\). Furthermore, we derive

$$\begin{aligned}&\frac{\partial EX_1(1)}{\partial k}=-\frac{{{{\mathcal {H}}}} L \alpha ^2 \beta ^2\text { }\sigma \lambda (\sigma -1) ({{{\mathcal {H}}}} \lambda -1+\lambda )}{\left[ k (\alpha -\sigma )-\alpha \beta (1-\lambda -{{{\mathcal {H}}}} \lambda ) (\sigma -1)\right] ^2}<0 \quad \text {and}\\&\frac{\partial EX_2(1)}{\partial k}=\frac{L \alpha \beta \sigma (1-\lambda ) (\sigma -1)[\sigma -\alpha (1-\beta )]({{{\mathcal {H}}}} \lambda -1+\lambda ) }{[k (\alpha -\sigma )-\alpha \beta (1-\lambda -{{{\mathcal {H}}}} \lambda ) (\sigma -1)]^2}>0, \end{aligned}$$

where the inequalities come from \({{{\mathcal {H}}}}>\frac{1-\lambda }{\lambda }\) in the corner equilibrium. Therefore, the results are robust in the corner equilibrium of \(n_{1f}=0\). In addition, at \(\phi\) close to zero, we derive

$$\begin{aligned}&\frac{\partial EX_1(\phi )}{ \partial k}\Big |_{\phi \rightarrow 0}=-\frac{L \alpha \beta \sigma (2\lambda -1){{{\mathcal {H}}}}\phi ^{\frac{k}{\sigma -1}}}{k(\sigma -\alpha )}<0 \quad \text {and}\\&\frac{\partial EX_2(\phi )}{ \partial k}\Big |_{\phi \rightarrow 0}=\frac{L\alpha \beta \sigma (1-\beta )(2\lambda -1)[\alpha \lambda (2\lambda -1)+\sigma -\alpha \lambda ]{{{\mathcal {H}}}}\phi ^{\frac{k+\sigma -1}{\sigma -1}}}{\lambda (1-\lambda )(\sigma -\alpha )^2(k+\sigma -1)}>0, \end{aligned}$$

which imply that a smaller k increases (decreases) the larger country’s net exports of Industry 1 (2) goods when trade costs are close to the level of autarky. \(\square\)

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Xu, H., Zhou, Y. Inter-industry trade and heterogeneous firms: country size matters. JER 74, 57–81 (2023). https://doi.org/10.1007/s42973-020-00065-5

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