Climate change exposes firms to increasing climate-related risks; however, researchers have largely overlooked how these risks transmit through production networks to affect firm sustainability. To address this gap, we integrated industry climate risk, production networks, and firm ESG performance into a unified analytical framework. Using data from A-share listed companies in Shanghai and Shenzhen between 2009 and 2022, we empirically examined the direct effects and network spillover effects of industry climate risk on firm ESG performance. The findings revealed that industry climate risk not only exerts a direct negative effect on firm ESG performance but also generates significant spillover effects through production networks, with upstream spillovers originating from the supply side being particularly pronounced. This impact exhibits heterogeneity: It is more significant for large-scale firms, non-state-owned enterprises, and during periods of unbalanced production network structure. Moreover, high-carbon industries are primarily affected by network spillover effects, while low-carbon industries are more subject to direct effects. Mechanism analysis indicated that industry climate risk undermines firm ESG performance mainly by inhibiting green innovation, tightening financing constraints, and elevating systemic asset risk, with production networks further amplifying these transmission mechanisms. Further analysis showed that the environmental dimension is more sensitive to direct effects, whereas the social dimension responds more strongly to network effects. Notably, while upstream firms experience negative network spillovers, their direct effects are significantly positive. In contrast, downstream firms face dual suppression from direct and network effects. Moreover, higher investment efficiency can effectively mitigate the negative impact of climate risk. This study contributes to the literature by uncovering the production network transmission mechanism of climate risk and provides novel evidence on the heterogeneous effects across supply chain positions. The findings inform policymakers on designing networked and differentiated governance strategies to enhance firm ESG resilience in the face of climate change.
Citation: Junfan Ren, Taofeng Chen, Zhihao Hu. Industry climate risk, production networks and firm ESG performance[J]. Green Finance, 2026, 8(3): 414-444. doi: 10.3934/GF.2026015
Climate change exposes firms to increasing climate-related risks; however, researchers have largely overlooked how these risks transmit through production networks to affect firm sustainability. To address this gap, we integrated industry climate risk, production networks, and firm ESG performance into a unified analytical framework. Using data from A-share listed companies in Shanghai and Shenzhen between 2009 and 2022, we empirically examined the direct effects and network spillover effects of industry climate risk on firm ESG performance. The findings revealed that industry climate risk not only exerts a direct negative effect on firm ESG performance but also generates significant spillover effects through production networks, with upstream spillovers originating from the supply side being particularly pronounced. This impact exhibits heterogeneity: It is more significant for large-scale firms, non-state-owned enterprises, and during periods of unbalanced production network structure. Moreover, high-carbon industries are primarily affected by network spillover effects, while low-carbon industries are more subject to direct effects. Mechanism analysis indicated that industry climate risk undermines firm ESG performance mainly by inhibiting green innovation, tightening financing constraints, and elevating systemic asset risk, with production networks further amplifying these transmission mechanisms. Further analysis showed that the environmental dimension is more sensitive to direct effects, whereas the social dimension responds more strongly to network effects. Notably, while upstream firms experience negative network spillovers, their direct effects are significantly positive. In contrast, downstream firms face dual suppression from direct and network effects. Moreover, higher investment efficiency can effectively mitigate the negative impact of climate risk. This study contributes to the literature by uncovering the production network transmission mechanism of climate risk and provides novel evidence on the heterogeneous effects across supply chain positions. The findings inform policymakers on designing networked and differentiated governance strategies to enhance firm ESG resilience in the face of climate change.
| [1] |
Acemoglu D, Akcigit U, Kerr W (2016) Networks and the macroeconomy: An empirical exploration. NBER Macroecon Annu 30: 273–335. https://doi.org/10.1086/685961 doi: 10.1086/685961
|
| [2] |
Acemoglu D, Azar PD (2020) Endogenous production networks. Econometrica 88: 33–82. https://doi.org/10.3982/ECTA15899 doi: 10.3982/ECTA15899
|
| [3] |
Acemoglu D, Carvalho VM, Ozdaglar A, et al. (2012) The network origins of aggregate fluctuations. Econometrica 80: 1977–2016. https://doi.org/10.3982/ECTA9623 doi: 10.3982/ECTA9623
|
| [4] |
Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2017) Microeconomic origins of macroeconomic tail risks. Am Econ Rev 107: 54–108. https://doi.org/10.1257/aer.20151086 doi: 10.1257/aer.20151086
|
| [5] |
Addoum JM, Ng DT, Ortiz-Bobea A (2020) Temperature shocks and establishment sales. Rev Financ Stud 33: 1331–1366. https://doi.org/10.1093/rfs/hhz126 doi: 10.1093/rfs/hhz126
|
| [6] |
Antràs P, Chor D, Fally T, et al. (2012) Measuring the upstreamness of production and trade flows. Am Econ Rev 102: 412–416. https://doi.org/10.1257/aer.102.3.412 doi: 10.1257/aer.102.3.412
|
| [7] |
Baqaee D, Rubbo E (2023) Micro propagation and macro aggregation. Annu Rev Econ 15: 91–123. https://doi.org/10.1146/annurev-economics-082322-012833 doi: 10.1146/annurev-economics-082322-012833
|
| [8] |
Baqaee DR, Farhi E (2020) Productivity and misallocation in general equilibrium. Q J Econ 135: 105–163. https://doi.org/10.1093/qje/qjz030 doi: 10.1093/qje/qjz030
|
| [9] |
Berkman H, Jona J, Soderstrom N (2024) Firm-specific climate risk and market valuation. Account Organ Soc 112: 101547. https://doi.org/10.1016/j.aos.2024.101547 doi: 10.1016/j.aos.2024.101547
|
| [10] |
Bernanke BS, Gertler M (1995) Inside the black box: The credit channel of monetary policy transmission. J Econ Perspect 9: 27–48. https://doi.org/10.1257/jep.9.4.27 doi: 10.1257/jep.9.4.27
|
| [11] |
Berrone P, Fosfuri A, Gelabert L, et al. (2013) Necessity as the mother of 'green' inventions: Institutional pressures and environmental innovations. Strateg Manag J 34: 891–909. https://doi.org/10.1002/smj.2041 doi: 10.1002/smj.2041
|
| [12] |
Carvalho VM, Nirei M, Saito YU, et al. (2021) Supply chain disruptions: Evidence from the Great East Japan Earthquake. Q J Econ 136: 1255–1321. https://doi.org/10.1093/qje/qjaa044 doi: 10.1093/qje/qjaa044
|
| [13] |
Cepni O, Şensoy A, Yılmaz MH (2024) Climate change exposure and cost of equity. Energy Econ 130: 107288. https://doi.org/10.1016/j.eneco.2023.107288 doi: 10.1016/j.eneco.2023.107288
|
| [14] |
Chen GJ, Chen WP, Liu YY, et al. (2024) Financial uncertainty shocks, production-financing network linkages, and corporate output. China Ind Econ 3: 43–61. (in Chinese). https://doi.org/10.19581/j.cnki.ciejournal.2024.03.004 doi: 10.19581/j.cnki.ciejournal.2024.03.004
|
| [15] |
Chen GJ, Chen WP, Zhao C, et al. (2023) Uncertainty and corporate investment behavior: A perspective based on financial uncertainty. Int Financ Stud 7: 83–96. (in Chinese). https://doi.org/10.16475/j.cnki.1006-1029.2023.07.006 doi: 10.16475/j.cnki.1006-1029.2023.07.006
|
| [16] |
Chen Q, Li MH (2024) Can ESG ratings enhance corporate resilience? A quasi-natural experiment based on ESG rating events. R&D Manag 36: 132–145. (in Chinese). https://doi.org/10.13581/j.cnki.rdm.20231491 doi: 10.13581/j.cnki.rdm.20231491
|
| [17] |
Chen W, Wu H, Zhang L (2021) Terrorist attacks, managerial sentiment, and corporate disclosures. Account Rev 96: 165–190. https://doi.org/10.2308/TAR-2017-0655 doi: 10.2308/TAR-2017-0655
|
| [18] |
Chen YS (2008) The driver of green innovation and green image: Green core competence. J Bus Ethics 81: 531–543. https://doi.org/10.1007/s10551-007-9522-1 doi: 10.1007/s10551-007-9522-1
|
| [19] | CMA Climate Change Centre (2024) Blue Book on Climate Change in China (2024). Beijing: Science Press. |
| [20] | Dixit AK, Pindyck RS (1994) Investment under uncertainty. Princeton University Press. https://doi.org/10.1515/9781400830176 |
| [21] | Du J, Xu XY, Yang Y (2023) Does climate risk affect the cost of equity capital? Empirical evidence from textual analysis of annual reports of Chinese listed companies. Chin Rev Financ Stud 15: 19–46+125. (in Chinese). |
| [22] |
Dupor B (1999) Aggregation and irrelevance in multi-sector models. J Monet Econ 43: 391–409. https://doi.org/10.1016/S0304-3932(98)00057-9 doi: 10.1016/S0304-3932(98)00057-9
|
| [23] |
Engle RF, Giglio S, Kelly B, et al. (2020) Hedging climate change news. Rev Financ Stud 33: 1184–1216. https://doi.org/10.1093/rfs/hhz072 doi: 10.1093/rfs/hhz072
|
| [24] |
Fama EF, French KR (1993) Common risk factors in the returns on stocks and bonds. J Financ Econ 33: 3–56. https://doi.org/10.1016/0304-405X(93)90023-5 doi: 10.1016/0304-405X(93)90023-5
|
| [25] |
Fama EF, French KR (2015) A five-factor asset pricing model. J Financ Econ 116: 1–22. https://doi.org/10.1016/j.jfineco.2014.10.010 doi: 10.1016/j.jfineco.2014.10.010
|
| [26] | Gu NK, Qiu QW, Luo Y (2025) Corporate climate risk and cash holdings: Empirical evidence from investor interaction platforms. Secur Mark Her 5: 3–15. (in Chinese). |
| [27] |
Hall G, Liu K, Pomorski L, et al. (2023) Supply chain climate exposure. Financ Anal J 79: 58–76. https://doi.org/10.1080/0015198X.2022.2129946 doi: 10.1080/0015198X.2022.2129946
|
| [28] | Hu RD, Wang WNX, Jiang DP (2025) The impact of institutional investors' network centrality on corporate ESG performance. Chin J Manag Advance online publication. (in Chinese). Available from: https://link.cnki.net/urlid/42.1725.c.20251222.1545.024. |
| [29] |
Huang HB, Zhang XJ, Zhang YY (2025) The impact of ESG performance on corporate green collaborative innovation. Stat Inf Forum 40: 88–102. (in Chinese). https://doi.org/10.20207/j.cnki.1007-3116.2025.0054 doi: 10.20207/j.cnki.1007-3116.2025.0054
|
| [30] | Huang HH, Kerstein J, Wang C (2018) The impact of climate risk on firm performance and financing choices: An international comparison. J Int Bus Stud 49: 633–656. |
| [31] |
Hulten CR (1978) Growth accounting with intermediate inputs. Rev Econ Stud 45: 511–518. https://doi.org/10.2307/2297252 doi: 10.2307/2297252
|
| [32] |
Ilhan E, Krueger P, Sautner Z, et al. (2023) Climate risk disclosure and institutional investors. Rev Financ Stud 36: 2617–2650. https://doi.org/10.1093/rfs/hhad002 doi: 10.1093/rfs/hhad002
|
| [33] |
Krueger P, Sautner Z, Starks LT (2020) The importance of climate risks for institutional investors. Rev Financ Stud 33: 1067–1111. https://doi.org/10.1093/rfs/hhz137 doi: 10.1093/rfs/hhz137
|
| [34] |
Li Q, Shan H, Tang Y, et al. (2024) Corporate climate risk: Measurements and responses. Rev Financ Stud 37: 1778–1830. https://doi.org/10.1093/rfs/hhad094 doi: 10.1093/rfs/hhad094
|
| [35] |
Li YF, Qi YF, Cui JR (2024) Reducing tax distortions and facilitating domestic economic circulation. Financ & Trade Econ 45: 1–19. (in Chinese). https://doi.org/10.19795/j.cnki.cn11-1166/f.20240515.004 doi: 10.19795/j.cnki.cn11-1166/f.20240515.004
|
| [36] |
Li Z, Cai XY, Wu K (2025) Climate risk, production network linkages, and internal cash distribution within business groups. Financ & Trade Econ 46: 71–88. (in Chinese). https://doi.org/10.19795/j.cnki.cn11-1166/f.20251020.001 doi: 10.19795/j.cnki.cn11-1166/f.20251020.001
|
| [37] |
Long JB, Jr Plosser CI (1983) Real business cycles. J Polit Econ 91: 39–69. https://doi.org/10.1086/261128 doi: 10.1086/261128
|
| [38] |
Lv Y, Luo W, Bao Q (2020) Firm upstreamness, trade crises, and the bullwhip effect in value chain transmission. China Econ Q 19: 875–896. (in Chinese). https://doi.org/10.13821/j.cnki.ceq.2020.02.05 doi: 10.13821/j.cnki.ceq.2020.02.05
|
| [39] |
Miranda-Pinto J, Silva A, Young ER (2023) Business cycle asymmetry and input-output structure: The role of firm-to-firm networks. J Monet Econ 137: 1–20. https://doi.org/10.1016/j.jmoneco.2023.05.014 doi: 10.1016/j.jmoneco.2023.05.014
|
| [40] |
Naseer MM, Hussain N, Khan SA, et al. (2026) The ESG Emissions Paradox: Capability‐Contingent Effects of Research and Development and Cost Leadership in Asia. Bus Strat Environ 35: 3077–3092. https://doi.org/10.1002/bse.70362 doi: 10.1002/bse.70362
|
| [41] |
Ni HF (2022a) Efficiency loss of indirect taxes in China: A general equilibrium model approach based on China's production network structure. Manag World 38: 36–75. (in Chinese). https://doi.org/10.19744/j.cnki.11-1235/f.2022.0074 doi: 10.19744/j.cnki.11-1235/f.2022.0074
|
| [42] | Ni HF (2022b) Distortion factors, import intermediate input prices, and total factor productivity: An ex-post accounting method based on a non-competitive input-output network structural general equilibrium model. J Financ Res 2: 21–39. (in Chinese). |
| [43] |
Olley GS, Pakes A (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64: 1263–1297. https://doi.org/10.3386/w3977 doi: 10.3386/w3977
|
| [44] |
Pindyck RS (1993) Investments of uncertain cost. J Financ Econ 34: 53–76. https://doi.org/10.1016/0304-405X(93)90040-I doi: 10.1016/0304-405X(93)90040-I
|
| [45] |
Richardson S (2006) Over-investment of free cash flow. Rev Account Stud 11: 159–189. https://doi.org/10.1007/s11142-006-9012-1 doi: 10.1007/s11142-006-9012-1
|
| [46] |
Song X, Fang T (2023) Temperature shocks and bank systemic risk: Evidence from China. Financ Res Lett 51: 103447. https://doi.org/10.1016/j.frl.2022.103447 doi: 10.1016/j.frl.2022.103447
|
| [47] |
Tan Z, Yan L (2021) Does air pollution impede corporate innovation? Int Rev Econ & Financ 76: 937–951. https://doi.org/10.1016/j.iref.2021.07.015 doi: 10.1016/j.iref.2021.07.015
|
| [48] |
Tversky A, Kahneman D (1974) Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science 185: 1124–1131. https://doi.org/10.1126/science.185.4157.1124 doi: 10.1126/science.185.4157.1124
|
| [49] |
Van der Ploeg F, Rezai A (2020) Stranded assets in the transition to a carbon-free economy. Annu Rev Resour Econ 12: 281–298. https://doi.org/10.1146/annurev-resource-110519-040938 doi: 10.1146/annurev-resource-110519-040938
|
| [50] |
Wu SN, You B, Wang J Y, et al. (2023) Industrial policy tools, corporate investment efficiency, and stock price crash risk. Manag Rev 35: 272–282. (in Chinese). https://doi.org/10.14120/j.cnki.cn11-5057/f.2023.01.002 doi: 10.14120/j.cnki.cn11-5057/f.2023.01.002
|
| [51] | Xiao YH, Hou CQ (2023) Input-output networks and inflation transmission. Econ Res J 58: 24–43. (in Chinese). |
| [52] |
Yan ZB, Zhang YH, Zhao F (2024) Economic policy uncertainty and corporate risk: An analysis based on dual mediation and dual moderation effects. Soft Sci 38: 95–101. (in Chinese). https://doi.org/10.13956/j.ss.1001-8409.2024.04.14 doi: 10.13956/j.ss.1001-8409.2024.04.14
|
| [53] |
Yao HN, Zhang JC (2025) Corporate ESG performance and trade credit financing: A perspective from signaling theory. Stat Decis 41: 139–143. (in Chinese). https://doi.org/10.13546/j.cnki.tjyjc.2025.15.024 doi: 10.13546/j.cnki.tjyjc.2025.15.024
|
| [54] |
Zhang T, Hou YH, Qu XX, et al. (2023) Carbon cycle, climate change, and financial risk: A DSGE model approach. China Popul Resour Environ 33: 1–12. (in Chinese). https://doi.org/10.12062/cpre.20230328 doi: 10.12062/cpre.20230328
|
| [55] | Zhou YG, Xiao X (2022) Exchange rate volatility, production networks, and stock market risk: An analysis in the context of Sino-US trade frictions. J Financ Res 7: 115–134. (in Chinese). |
| [56] | Zhou YY, Jia XR, Jia YY (2024) The impact of climate risk on corporate ESG performance. Financ Theory Pract 12: 72–86. (in Chinese). |