Abstract
Based on the cap-and-trade regulation, the effect of retailer’s social responsibility and subsidy are analyzed in a two-level low-carbon supply chain. The government subsidizes manufacturer to encourage low-carbon technological innovation. It is gotten that both retailer’s social responsibility and subsidy can improve the profit of manufacturer and reduce the carbon emission level. Although more subsidies to manufacturer indeed may decrease the profit of retailer, it is good measure to promote the centralized decision-making between the retailer and manufacturer. A certain retailer’s social responsibilities are good for the carbon emission reduction, but it also brings about the decline of profit in the supply chain. The centralized decision-making is always the best choice strategy for the carbon emission reduction, while in the decentralized decision-making situation, the retailer has more possibilities to care about social responsibility.






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The authors are grateful to the editor and the reviewers for their help comments and suggestions, which have improved the presentation of the paper.
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This article has been composed by P. Wang, X.-H. Y, and Q. Zhang. All three authors have read and agreed to the published this version of the manuscript.
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P. Wang, X.-H. Yu, and Q. Zhang declare no conflict of interest.
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This research was funded by the National Natural Science Foundation of China (Nos. 72171024 and 71801016), in part by 2022 annual project of the Beijing Municipal Education Commission’s support plan for the construction of the faculty of Beijing municipal universities (No. BPHR202203154), the Beijing Municipal Commissions and Offices Foundation of China (No. 2019Z005-001-KWY), and E-commerce Teaching Innovation Team (No. CJGX2022-026–002).
Appendices
Appendix A
Proof of Theorem 1.
At the second stage, the retailer sets the retrial price to maximize its profit function, then
By Eq. (A1), \(\frac{{\partial \pi_{{\text{R}}} }}{\partial p} = a - \gamma \left( {e_{0} - e} \right) + \beta w - 2\beta p\), let it equal zero, the solution is \(p^{ * } = {a \mathord{\left/ {\vphantom {a {2\beta }}} \right. \kern-0pt} {2\beta }} + {w \mathord{\left/ {\vphantom {w 2}} \right. \kern-0pt} 2} - {{\gamma \left( {e_{0} - e} \right)} \mathord{\left/ {\vphantom {{\gamma \left( {e_{0} - e} \right)} {2\beta }}} \right. \kern-0pt} {2\beta }}\), while \(\frac{{\partial^{2} \pi_{{\text{R}}} }}{{\partial p^{2} }} = - 2\beta < 0\). At the second stage, the manufacturer sets carbon emission and the wholesale price for their products to maximize its utility function, then
Pugging \(p^{ * }\) into manufacturer’s profit function \(\pi_{{\text{M}}}\), we get that
Let the Hessian matrix of profit function be denoted by \(H_{{\pi_{{\text{M}}} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{\pi_{{\text{M}}} ,1}} ) = - \lambda { + }\gamma p_{e}\), and the primary sub formula of second order sequence \({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) = \beta \left( {\lambda - \gamma p_{e} } \right) - {{\left( {\gamma - p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma - p_{e} \beta } \right)^{2} } 4}} \right. \kern-0pt} 4}\). When \({{\lambda \geqslant \left( {\gamma - p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\lambda \geqslant \left( {\gamma - p_{e} \beta } \right)^{2} } {4\beta }}} \right. \kern-0pt} {4\beta }}{ + }\gamma p_{e} = {{\left( {\gamma { + }p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma { + }p_{e} \beta } \right)^{2} } {4\beta }}} \right. \kern-0pt} {4\beta }}\), \({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) \geqslant 0\) and \({\text{Det}}(H_{{\pi_{{\text{M}}} ,1}} ) = - \lambda { + }\gamma p_{e} \leqslant 0\). Therefore, \(H_{{\pi_{{\text{M}}} }}\) is negative definite. The first-order conditions are
So
where \(\Delta { = 4}\lambda \beta - \left( {\gamma { + }p_{e} \beta } \right)^{2}\), \(\eta_{1} = \gamma { + }p_{e} \beta\) and \(\eta_{2} = \gamma - p_{e} \beta\).
Proof of Proposition 1
By Eq. (3), there are
By Eq. (5), it is gotten that
so \(p_{e} \geqslant\) \({\gamma \mathord{\left/ {\vphantom {\gamma {3\beta }}} \right. \kern-0pt} {3\beta }}\), \(\frac{{\partial p^{ * } }}{\partial \lambda } \geqslant\) 0.
Proof of Proposition 2
Without subsidy and customer surplus, the demand is
Also, the profits of retailer and manufacturer are
Furthermore, the whole profit of SC is
By Eqs. (A3), (A4), (A5) and (A6), we have that
Furthermore, as \(\pi_{{\text{S}}}^{*} = \pi_{{\text{M}}}^{*} + \pi_{{\text{R}}}^{*}\), we get that
Proof of Theorem 2
When the cooperation is structured in the SC, the retailer and manufacturer set the carbon emission and price together to maximize the profit of SC, so
Let the Hessian matrix of profit function be denoted by \(H_{{\pi_{{\text{s}}} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{\pi_{{\text{S}}} ,1}} ) = - \lambda { + 2}\gamma p_{e}\), and the primary sub formula of second order sequence \({\text{Det}}(H_{{\pi_{{\text{S}}} ,2}} ) = 2\beta \lambda - \left( {\gamma + p_{e} \beta } \right)^{2}\). When \({{\lambda \geqslant \left( {\gamma { + }p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\lambda \geqslant \left( {\gamma { + }p_{e} \beta } \right)^{2} } {2\beta }}} \right. \kern-0pt} {2\beta }}\), \({\text{Det}}(H_{{\pi_{{\text{S}}} ,2}} ) \geqslant 0\) and \({\text{Det}}(H_{{\pi_{{\text{S}}} ,1}} ) = - \lambda { + 2}\gamma p_{e} \leqslant 0\). Therefore, \(H_{{\pi_{{\text{S}}} }}\) is negative definite. The first-order conditions are
So
where \(\Delta { = 4}\lambda \beta - \left( {\gamma { + }p_{e} \beta } \right)^{2}\), \(\eta_{1} = \gamma { + }p_{e} \beta\) and \(\eta_{2} = \gamma - p_{e} \beta\).
Proof of Proposition 3
Comparing Theorem 1 and 2, we get \(e^{{**}} \geqslant\) \(e^{*}\) directly. Moreover, under the condition of centralized decision-making, the market demand is
Then we have that \(D^{{**}} \geqslant D^{*}\). Furthermore, it is seen that
So by Eq. (A6), we have that
Therefore, we obtain that \(\pi_{{\text{S}}}^{**} \geqslant \pi_{{\text{S}}}^{*}\).
Appendix B
Proof of Theorem 3
At the second stage, the retailer sets the retrial price to maximize its utility function, then
By Eq. (B1), \(\frac{{\partial v_{{\text{R}}} }}{\partial p} = \left( {1 - \beta u} \right)a - \left( {1 - \beta u} \right)\gamma \left( {e_{0} - e} \right) + \beta w - \beta \left( {2 - \beta u} \right)p\), let it be equal zero, the solution is
while \(\frac{{\partial^{2} v_{{\text{R}}} }}{{\partial p^{2} }} = - 2\beta { + }u\beta < 0\). At the first stage, the manufacturer sets the carbon emission reduction level and the wholesale price to maximize its utility function, then
Pugging \(p^{c * }\) into manufacturer’s profit function \(\pi_{M}\):
Let the Hessian matrix of profit function be denoted by \(H_{{\pi_{{\text{M}}} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{{\pi_{{\text{M}}} }}_{,1}} ) = - \lambda + {{2\gamma p_{e} } \mathord{\left/ {\vphantom {{2\gamma p_{e} } {\left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\left( {2 - \beta u} \right)}}\), and the primary sub formula of second order sequence \({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) = {{2\beta } \mathord{\left/ {\vphantom {{2\beta } {\left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\left( {2 - \beta u} \right)}}\left( {\lambda - {{2\gamma p_{e} } \mathord{\left/ {\vphantom {{2\gamma p_{e} } {\left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\left( {2 - \beta u} \right)}}} \right) - {{\left( {\gamma - p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma - p_{e} \beta } \right)^{2} } {\left( {2 - \beta u} \right)^{2} }}} \right. \kern-0pt} {\left( {2 - \beta u} \right)^{2} }}\). When \({{\lambda \geqslant \left( {\gamma - p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\lambda \geqslant \left( {\gamma - p_{e} \beta } \right)^{2} } {2\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {2\beta \left( {2 - \beta u} \right)}}{ + }{{2\gamma p_{e} } \mathord{\left/ {\vphantom {{2\gamma p_{e} } {\left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\left( {2 - \beta u} \right)}} = {{\left( {\gamma { + }p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma { + }p_{e} \beta } \right)^{2} } {2\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {2\beta \left( {2 - \beta u} \right)}}\) and \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right. \kern-0pt} {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right\}\), \({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) \geqslant 0\) and \({\text{Det}}(H_{{\pi_{{\text{M}}} ,1}} ) \leqslant 0\). Therefore, \(H_{{\pi_{{\text{M}}} }}\) is negative definite. The first-order conditions are
So we have that
where \(\Delta^{c} = 2\beta \lambda \left( {2 - \beta u} \right) - \left( {\gamma + p_{e} \beta } \right)^{2}\).
Proof of Proposition 4
Compared Theorem 1 and 3, it is seen that \(e^{c*} \geqslant\) \(e^{*}\), \(w^{c*} \geqslant\) \(w^{*}\) and \(p^{c*} \geqslant\) \(p^{*}\). With retailer’s CSR, the market demand is
where \(\Delta^{c} = 2\beta \lambda \left( {2 - \beta u} \right) - \left( {\gamma + p_{e} \beta } \right)^{2}\). By Eq. (6), the market demand without retailer’s CSR is \(D^{*} = {{\beta \lambda \left( {a - \eta_{1} e_{0} } \right)} \mathord{\left/ {\vphantom {{\beta \lambda \left( {a - \eta_{1} e_{0} } \right)} \Delta }} \right. \kern-0pt} \Delta },\) where \(\Delta { = 4}\lambda \beta - \left( {\gamma { + }p_{e} \beta } \right)^{2}\). It is gotten that \(\Delta^{c} \leqslant\) \(\Delta\), so \(D^{c*} \geqslant\) \(D^{*}\). With retailer’s CSR, the profit of manufacturer is obtained,
Without Retailer’s CSR, by Eqs. (A4) and (A5), the profit of manufacturer is
It is not hard to get that \(\pi_{{\text{M}}}^{c*} \geqslant\) \(\pi_{{\text{M}}}^{*}\) when \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta^{{2}} \lambda }}} \right. \kern-0pt} {4\beta^{{2}} \lambda }}}}} \right. \kern-0pt} {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta^{{2}} \lambda }}} \right. \kern-0pt} {4\beta^{{2}} \lambda }}}}} \right\}\).
Proof of Theorem 4
When a cooperation is structured in the SC, the retailer and manufacturer set the carbon emission level and retail price to maximize the utility of SC, then
Let the Hessian matrix of profit function be denoted by \(H_{{v_{{\text{s}}} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{v_{{\text{S}}} ,1}} ) = - \lambda { + 2}\gamma p_{e} { + }\gamma u\), and the primary sub formula of second order sequence is
\({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) = \frac{2\beta }{{2 - \beta u}}\left( {\lambda - \frac{{2\gamma p_{e} { + }\gamma u}}{2 - \beta u}} \right) - \frac{{\left( {\gamma - p_{e} \beta - \beta u\gamma } \right)^{2} }}{{\left( {2 - \beta u} \right)^{2} }}\).
Because \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right. \kern-0pt} {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right\}\), it is gotten that \({{\lambda \geqslant \left( {\gamma + p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\lambda \geqslant \left( {\gamma + p_{e} \beta } \right)^{2} } {2\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {2\beta \left( {2 - \beta u} \right)}}\) and \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta }} \right\}\). Thus, we get \({\text{Det}}(H_{{v_{{\text{S}}} ,2}} ) \geqslant 0\) and \({\text{Det}}(H_{{v_{S} ,1}} ) \leqslant 0\). Therefore, \(H_{{v_{{\text{S}}} }}\) is negative definite. The first-order conditions are
So we have that
where \(\eta_{1} = \gamma { + }p_{e} \beta\) and \(\eta_{2} = \gamma - p_{e} \beta\).
Proof of Proposition 5
It is not hard to get that \(e^{c**} \geqslant\) \(e^{**}\) when \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right. \kern-0pt} {\beta ,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta } - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {4\beta \lambda }}} \right. \kern-0pt} {4\beta \lambda }}}}} \right\}\). Also, by Eqs. (3) and (17), we have that
Therefore, it is obtained that \(e^{**} \geqslant\) \(e^{c*} \geqslant\) \(e^{*}\) because that \(2 - \beta u \geqslant\) 1. Similarly, it is proved that \(D^{c**} \geqslant\) \(D^{**} \geqslant\) \(D^{c*} \geqslant\) \(D^{*}\).
Proof of Proposition 6
By Proposition 4, it is not hard to have that \(\pi_{{\text{S}}}^{{**}} \geqslant\) \(\pi_{{\text{S}}}^{*}\), since \(\pi_{{\text{R}}}^{c*} \geqslant\) \(\pi_{{\text{R}}}^{*}\) and \(\pi_{{\text{M}}}^{c*} \geqslant\) \(\pi_{{\text{M}}}^{*}\). Meanwhile, considering the CSR, the total profit of SC in the decentralized decision making situation is
Thus, we have that
As
it is gotten the conclusion that \(\pi_{{\text{S}}}^{{c{**}}} \geqslant\) \(\pi_{{\text{S}}}^{c*}\).
Proof of Theorem 5
At the second stage, the retailer sets the retrial price to maximize its utility function, then
By Eq. (B4), \(\frac{{\partial v_{{\text{R}}} }}{\partial p} = \left( {1 - \beta u} \right)a - \left( {1 - \beta u} \right)\gamma \left( {e_{0} - e} \right) + \beta w - \beta \left( {2 - \beta u} \right)p\), let it be equal zero, the solution is
while \(\frac{{\partial^{2} v_{{\text{R}}} }}{{\partial p^{2} }} = - 2\beta { + }u\beta < 0\). At the first stage, the manufacturer sets carbon emission and the wholesale price for their products to maximize its utility function, then
Pugging \(p^{s * }\) into M’s profit function \(\pi_{M}\):
Let the Hessian matrix of profit function be denoted by \(H_{{\pi_{{\text{M}}} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{{\pi_{{\text{M}}} }}_{,1}} ) = - \left( {\lambda - \theta } \right) + {{2\gamma p_{e} } \mathord{\left/ {\vphantom {{2\gamma p_{e} } {\left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\left( {2 - \beta u} \right)}}\), and the primary sub formula of second order sequence
When
\({\text{Det}}(H_{{\pi_{{\text{M}}} ,2}} ) \geqslant 0\) and \({\text{Det}}(H_{{\pi_{{\text{M}}} ,1}} ) \leqslant 0\). Therefore, \(H_{{\pi_{{\text{M}}} }}\) is negative definite. The first-order conditions are
So
where \(\Delta^{s} = 2\beta \left( {\lambda - \theta } \right)\left( {2 - \beta u} \right) - \left( {\gamma + p_{e} \beta } \right)^{2}\).
Proof of Lemma 1
As
it is gotten that \(f{(}x{)}\) is concave function. Hence, we do not repeat it here.
Proof of Theorem 6
With the subsidy, the market demand in the decentralized making decision situation \(D^{s * }\) is
Thus, the profits and manufacturer and retailer are
By Lemma 1, if \(\theta = \lambda - {{\left( {\gamma + p_{e} \beta } \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma + p_{e} \beta } \right)^{2} } {\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\beta \left( {2 - \beta u} \right)}}\), then \(\pi_{{\text{R}}}^{s * }\) gets its minimum value, and
Therefore, the conclusion is gotten.
Proof of Theorem 7
When a cooperation is structured in the SC, retailer and manufacturer set the carbon emission level and retail price to maximize the utility of SC, and
Let the Hessian matrix of profit function be denoted by \(H_{{v_{s} }}\). Primary sub formula of first order sequence \({\text{Det}}(H_{{v_{{\text{S}}} ,1}} ) = - \left( {\lambda - \theta } \right){ + 2}\gamma p_{e} { + }\gamma u\), and the primary sub formula of second order sequence \({\text{Det}}(H_{{v_{{\text{S}}} ,2}} ) = 2\beta \left( {\lambda - \theta } \right) - \left( {\gamma + p_{e} \beta } \right)^{2}\). When \(\theta \leqslant \lambda - {{\left( {\gamma - p_{e} \beta + \gamma u} \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\gamma - p_{e} \beta + \gamma u} \right)^{2} } {\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\beta \left( {2 - \beta u} \right)}} - \gamma \left( {u + 2p_{e} } \right)\) and \(u \leqslant \min \left\{ {1,\;{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta }} \right\}\), we get that \({\text{Det}}(H_{{v_{{\text{S}}} ,2}} ) \geqslant\) 0 and \({\text{Det}}(H_{{v_{{\text{S}}} ,1}} ) \leqslant 0\). Therefore, \(H_{{v_{{\text{S}}} }}\) is negative definite. The first-order conditions are
So
where \(\eta_{1} = \gamma { + }p_{e} \beta\) and \(\eta_{2} = \gamma - p_{e} \beta\).
Proof of Proposition 7
-
(1)
As the coefficient a is big enough, we have that
$$\begin{aligned} \frac{{\partial e^{*} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot 2\lambda }}{{\Delta^{2} }} \geqslant 0,\;\;\;\frac{{\partial e^{*} }}{{\partial p_{e} }} = \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot 2\lambda }}{{\Delta^{2} }}\beta \geqslant 0 \\ \frac{{\partial e^{**} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot 2\lambda }}{{(2\lambda \beta - \eta_{1}^{2} )^{2} }} \geqslant 0,\;\;\;\frac{{\partial e^{**} }}{{\partial p_{e} }} = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot 2\lambda }}{{\Delta^{2} }}\beta \geqslant 0. \\ \end{aligned}$$ -
(2)
As \(u \leqslant \min \{ 1,{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta }\}\), we get that
$$\begin{aligned} \frac{{\partial e^{c*} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)\lambda }}{{(\Delta^{c} )^{2} }} \geqslant 0,\\ \frac{{\partial e^{c*} }}{{\partial p_{e} }} &= \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)\lambda }}{{(\Delta^{c} )^{2} }}\beta \geqslant 0, \\ \frac{{\partial e^{c**} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)\lambda }}{{(\lambda \beta (2 - \beta u) - \eta_{1}^{2} )^{2} }} \geqslant 0,\\ \frac{{\partial e^{c**} }}{{\partial p_{e} }}& = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)\lambda }}{{(\lambda \beta (2 - \beta u) - \eta_{1}^{2} )^{2} }}\beta \geqslant 0. \\ \end{aligned}$$ -
(3)
Due to \(u \leqslant \min \{ 1,{2 \mathord{\left/ {\vphantom {2 \beta }} \right. \kern-0pt} \beta }\}\) and \(\theta \leqslant \lambda - {{\eta_{1}^{2} } \mathord{\left/ {\vphantom {{\eta_{1}^{2} } {2\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {2\beta \left( {2 - \beta u} \right)}}\), we obtain that
$$\begin{aligned} \frac{{\partial e^{s*} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)(\lambda - \theta )}}{{(\Delta^{s} )^{2} }} \geqslant 0, \\ \frac{{\partial e^{s*} }}{{\partial p_{e} }} & = \frac{{a\eta_{1}^{2} + 2\beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)(\lambda - \theta )}}{{(\Delta^{s} )^{2} }}\beta \geqslant 0, \\ \frac{{\partial e^{s**} }}{\partial \gamma } & = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)(\lambda - \theta )}}{{((\lambda - \theta )\beta (2 - \beta u) - \eta_{1}^{2} )^{2} }} \geqslant 0, \\ \frac{{\partial e^{s**} }}{{\partial p_{e} }} & = \frac{{a\eta_{1}^{2} + \beta (a - 2e_{0} \eta_{1} ) \cdot (2 - \beta u)(\lambda - \theta )}}{{((\lambda - \theta )\beta (2 - \beta u) - \eta_{1}^{2} )^{2} }}\beta \geqslant 0. \\ \end{aligned}$$
Proof of Theorem 8
With the subsidy, the whole profit of SC in the centralized decision-making situation is
The utility of SC in the centralized decision-making situation is
By Remark 2, there is
so \(v_{{\text{S}}}^{s**} \leqslant v_{{\text{S}}}^{c**}\). The profit of supply in decentralized decision-making situation is
Hence, it is obvious that \(\pi_{{\text{S}}}^{s**} \geqslant \pi_{{\text{S}}}^{s*}\). Also, the utility of supply in decentralized decision-making situation is
Thus, we have that
It is gotten that \(\pi_{{\text{S}}}^{s**} - \pi_{{\text{S}}}^{s*} \geqslant\) \(\pi_{{\text{S}}}^{c**} - \pi_{{\text{S}}}^{c*}\). This proof is completed.
Proof of Theorem 9
The proof is similar to Theorem 6. When the subsidy is at a certain point \(\theta = \lambda - {{\left( {\eta_{2} + \gamma u} \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\eta_{2} + \gamma u} \right)^{2} } {\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\beta \left( {2 - \beta u} \right)}} - \gamma \left( {u + 2p_{e} } \right)\), the profit of the SC is the smallest. Because \(\lambda - {{\left( {\eta_{2} + \gamma u} \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\eta_{2} + \gamma u} \right)^{2} } {\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\beta \left( {2 - \beta u} \right)}} - \gamma \left( {u + 2p_{e} } \right) \leqslant \lambda - {{\left( {\eta_{2} + \gamma u} \right)^{2} } \mathord{\left/ {\vphantom {{\left( {\eta_{2} + \gamma u} \right)^{2} } {\beta \left( {2 - \beta u} \right)}}} \right. \kern-0pt} {\beta \left( {2 - \beta u} \right)}} - \gamma \left( {u + 2p_{e} } \right)\), so \(\frac{{\partial \pi_{{\text{S}}}^{{s{*}*}} }}{\partial \theta } \leqslant 0\).
Proof of Theorem 10
We have gotten that
Because \(\Delta^{s} = 2\beta \left( {\lambda - \theta } \right)\left( {2 - \beta u} \right) - \left( {\gamma + p_{e} \beta } \right)^{2} \leqslant 2\beta \lambda \left( {2 - \beta u} \right) - \left( {\gamma + p_{e} \beta } \right)^{2} = \Delta^{c}\), so we also get that \(e^{s**} \geqslant e^{c**}\) and \(e^{s*} \geqslant e^{c*}\). By Proposition 5, we get that \(D^{c**} \geqslant D^{**} \geqslant D^{c*}\). In a similar way, it is obtained that \(D^{s**} \geqslant D^{s*} \geqslant D^{c*} \geqslant D^{*}\). Hence, we only need to prove that \(D^{c**} \geqslant D^{s*}.\)
Furthermore, we have that
Thus, it is gotten that
\(D^{{c{\text{**}}}} - D^{{s * }} = \beta \left( {a - \eta _{1} e_{0} } \right)\left( {\frac{1}{{\beta \left( {2 - \beta u} \right) - \eta _{1} ^{2} /\lambda }} - \frac{1}{{2\beta \left( {2 - \beta u} \right) - \eta _{1} ^{2} /\left( {\lambda - \theta } \right)}}} \right) \geqslant 0.\)
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Wang, P., Yu, XH. & Zhang, Q. The Effect of Retailer’ Social Responsibility and Government Subsidy on the Performance of Low-Carbon Supply Chain. J. Oper. Res. Soc. China 13, 227–267 (2025). https://doi.org/10.1007/s40305-023-00479-z
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DOI: https://doi.org/10.1007/s40305-023-00479-z