|
Climate Change Research ›› 2024, Vol. 20 ›› Issue (3): 361-372.doi: 10.12006/j.issn.1673-1719.2024.034
• Global Climate Governance • Previous Articles Next Articles
CHEN Guo-Rong1(), WANG Su-Sa1, DENG Jing1(), HOU Hao-Yi1, YIN Shu-Qi1, FENG Wei1, QU Hao-Ze2
Received:
2024-02-22
Revised:
2024-03-27
Online:
2024-05-30
Published:
2024-04-28
CHEN Guo-Rong, WANG Su-Sa, DENG Jing, HOU Hao-Yi, YIN Shu-Qi, FENG Wei, QU Hao-Ze. China climate policy uncertainty index: construction, analysis and application prospects[J]. Climate Change Research, 2024, 20(3): 361-372.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2024.034
[1] |
姬强, 赵万里, 张大永, 等. 气候风险感知对金融市场的影响: 基于中国企业层面的微观证据[J]. 计量经济学报, 2022, 2 (3): 666-680.
doi: 10.12012/CJoE2021-0067 |
Ji Q, Zhao W L, Zhang D Y, et al. Climate risk perception and its impacts on financial markets: micro-evidence from listed firms in China[J]. China Journal of Econometrics, 2022, 2 (3): 666-680 (in Chinese)
doi: 10.12012/CJoE2021-0067 |
|
[2] | 汤维祺, 吴力波. IPCC AR6报告解读: 气候治理政策的新视角及对我国的启示[J]. 气候变化研究进展, 2023, 19 (2): 151-159. |
Tang W Q, Wu L B. Interpretation of IPCC AR6 report: new perspectives in climate governance policies and the implementation for China[J]. Climate Change Research, 2023, 19 (2): 151-159 (in Chinese) | |
[3] |
Borenstein S, Bushnell J, Wolak F A, et al. Expecting the unexpected: emissions uncertainty and environmental market design[J]. American Economic Review, 2019, 109 (11): 3953-3977
doi: 10.1257/aer.20161218 |
[4] | 马正宇, 秦放鸣. 宏观金融网络中的气候政策冲击机制和效应分析[J]. 金融与经济, 2022 (4): 13-22. |
Ma Z Y, Qin F M. An analysis on the stock mechanism and effect of climate policy in macro-financial network[J]. Finance and Economy, 2022 (4): 13-22 (in Chinese) | |
[5] |
丁时杰, 梁治朋, 谌金宇. 时频视角下气候政策不确定性与能源、金属市场的溢出效应研究[J]. 系统工程理论与实践, 2023, 43 (8): 2222-2235.
doi: 10.12011/SETP2022-2462 |
Ding S J, Liang Z P, Chen J Y. Research on the spillover effects among climate policy uncertainty, energy, and metal markets from the time-frequency perspective[J]. Systems Engineering Theory & Practice, 2023, 43 (8): 2222-2235 (in Chinese) | |
[6] | 刘硕, 李玉娥, 王斌, 等. COP27全球适应目标谈判面临的挑战及中国应对策略[J]. 气候变化研究进展, 2023, 19 (3): 389-399. |
Liu S, Li Y E, Wang B, et al. Challenges faced by the negotiation of global goal on adaptation in COP27 and China’s countermeasures[J]. Climate Change Research, 2023, 19 (3): 389-399 (in Chinese) | |
[7] |
刘振华, 丁志华, 段钊平. 气候政策不确定性会加剧能源市场间极端风险溢出吗?[J]. 系统工程理论与实践, 2023, 43 (6): 1651-1667.
doi: 10.12011/SETP2022-2280 |
Liu Z H, Ding Z H, Duan Z P. Does climate policy uncertainty exacerbate extreme risk spillovers across energy markets?[J]. Systems Engineering Theory & Practice, 2023, 43 (6): 1651-1667 (in Chinese) | |
[8] | Gavriilidis K. Measuring climate policy uncertainty[J]. Social Science Research Network (SSRN), 2021: 3847388 |
[9] |
蔡宗武, 袁靖, 彭燕. 构建经济政策不确定指数及政策不确定冲击下的宏观预测: 基于一种新文本挖掘方法[J]. 计量经济学报, 2023, 3 (3): 615-635.
doi: 10.12012/CJoE2022-0065 |
Cai Z W, Yuan J, Peng Y. China economic policy uncertainty and its forecasting based on a new textual mining method[J]. China Journal of Econometrics, 2023, 3 (3): 615-635 (in Chinese)
doi: 10.12012/CJoE2022-0065 |
|
[10] | 李华杰, 史丹, 马丽梅. 经济不确定性的量化测度研究: 前沿进展与理论综述[J]. 统计研究, 2018, 35 (1): 117-128. |
Li H J, Shi D, Ma L M. Research of quantitative measuring methods of economic uncertainty: frontier progress and theory summary[J]. Statistical Research, 2018, 35 (1): 117-128 (in Chinese) | |
[11] | 王博, 李力, 郝大鹏. 货币政策不确定性、违约风险与宏观经济波动[J]. 经济研究, 2019 (8): 119-134. |
Wang B, Li L, Hao D P. Monetary policy uncertainty, default risks and macroeconomic fluctuations[J]. Economic Research Journal, 2019 (8): 119-134 (in Chinese) | |
[12] | 黄卓, 邱晗, 沈艳, 等. 测量中国的金融不确定性: 基于大数据的方法[J]. 金融研究, 2018, 11: 30-46. |
Huang Z, Qiu H, Shen Y, et al. Measuring China’s financial uncertainty: a method based on a large dataset[J]. Journal of Financial Research, 2018, 11: 30-46 (in Chinese) | |
[13] | Benguria F, Choi J, Swenson D, et al. Anxiety or pain? The impact of tariffs and uncertainty on Chinese firms in the trade war[J]. National Bureau of Economic Research Working Papers, 2020. DOI: 10.3386/W27920 |
[14] | 李成, 程玮璇, 赵天骄. 基于媒体报道文本的税收政策不确定性指数构建[J]. 厦门大学学报(哲学社会科学版), 2023, 275 (1): 29-41. |
Li C, Cheng W X, Zhao T J. Construction of China’s tax policy uncertainty index based on media report text[J]. Journal of Xiamen University (Arts & Social Sciences), 2023, 275 (1): 29-41 (in Chinese) | |
[15] | Wossink A, Gardebroek C. Environmental policy uncertainty and marketable permit systems: the Dutch phosphate quota program[J]. American Journal of Agricultural Economics, 2006, 88 (1): 16-27 |
[16] | Sinha A. Monetary policy uncertainty and investor expectations[J]. Journal of Macroeconomics, 2016 (2): 188-199 |
[17] | 孙健, 钟凯, 卢闯, 等. 货币政策不确定性对会计信息质量的影响研究[J]. 经济理论与经济管理, 2017 (8): 34-45. |
Sun J, Zhong K, Lu C, et al. The impact of monetary policy uncertainty on accounting information quality[J]. Economic Theory and Business Management, 2017 (8): 34-45 (in Chinese) | |
[18] | 杨鸣京, 程小可, 钟凯. 股权质押对企业创新的影响研究: 基于货币政策不确定性调节效应的分析[J]. 财经研究, 2019, 45 (2): 139-152. |
Yang M J, Cheng X K, Zhong K. The effect of stock pledge on enterprise innovation: based on the adjustment effect of monetary policy uncertainty[J]. Journal of Finance and Economics, 2019, 45 (2): 139-152 (in Chinese) | |
[19] | 王霞, 郑挺国. 基于实时信息流的中国宏观经济不确定性测度[J]. 经济研究, 2020, 55 (10): 55-71. |
Wang X, Zheng T G. Measuring China’s macroeconomic uncertainty using real time data information[J]. Economic Research Journal, 2020, 55 (10): 55-71 (in Chinese) | |
[20] | Jurado K, Ludvigson S C, Ng S. Measuring uncertainty[J]. American Economic Review, 2015, 105 (3): 1177-1216 |
[21] | Baker S R, Bloom N, Davis S J. Measuring economic policy uncertainty[J]. Quarterly Journal of Economics, 2016, 131 (4): 1593-1636 |
[22] | Davis S J, Liu D, Sheng X. Economic policy uncertainty in China since 1949: the view from mainland newspapers[R]. Chicago Booth Research Paper, 2019 |
[23] | Bloom N. The impact of uncertainty shocks[J]. Econometrica, 2009, 77 (3): 623-685 |
[24] | Rogers J H, Sun B, Husted L F. Measuring monetary policy uncertainty: the federal reserve, January 1985-January 2016[J]. IFDP Notes, 2016, 11: 1-7 |
[25] | Ren X H, Li J Y, He F, et al. Impact of climate policy uncertainty on traditional energy and green markets: evidence from time-varying granger tests[J]. Renewable and Sustainable Energy Reviews, 2023, 173: 113058 |
[26] | 郭晶, 雍志婷. 气候政策不确定性与企业绿色创新: 基于新闻媒体文本分析方法的测度[J]. 金融与经济, 2023 (9): 75-86. |
Guo J, Yong Z T. Climate policy uncertainty and corporate green innovation-based on the measurement of text mining technique of news media[J]. Finance and Economy, 2023 (9): 75-86 (in Chinese) | |
[27] |
张韵晗, 郭琨, 姬强, 等. 气候冲击对中国大类资产收益的信息溢出研究[J]. 计量经济学报, 2023, 3 (2): 426-442.
doi: 10.12012/CJoE2022-0125 |
Zhang Y H, Guo K, Ji Q, et al. Information spillover effect of climate shocks on Chinese asset returns[J]. China Journal of Econometrics, 2023, 3 (2): 426-442 (in Chinese)
doi: 10.12012/CJoE2022-0125 |
|
[28] | 赵珂. 中国货币政策不确定性:驱动因素、传导效应与政策协同调控[D]. 吉林: 吉林大学, 2022. |
Zhao K. China’s monetary policy uncertainty: drivers, transmission effects and policy coordination[D]. Jilin:Jilin University, 2022 (in Chinese) | |
[29] | Liu G Q, Luo K Y, Xu P F, et al. Climate policy uncertainty and its impact on major grain futures[J]. Finance Research Letters, 2023, 58: 104412 |
[30] | Adediran I A, Isah K O, Ogbonna A E, et al. A global analysis of the macroeconomic effects of climate change[J]. Asian Economics Letters, 2023, 4 (1): 1-6 |
[31] | Li X. Dynamic spillovers between US climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices[J]. Letters in Spatial and Resource Sciences, 2022, 15 (3): 665-673 |
[32] | Shang Y, Han D, Gozgor G, et al. The impact of climate policy uncertainty on renewable and non-renewable energy demand in the United States[J]. Renewable Energy, 2022, 197: 654-667 |
[33] | Dai Z F, Zhang X T. Climate policy uncertainty and risks taken by the bank: evidence from China[J]. International Review of Financial Analysis, 2023, 87: 102579 |
[34] | Akpa E O, Olayiwola A I, Abuta C M A, et al. Climate risk and financial instability in Asia-Pacific[J]. Asian Economics Letters, 2023, 4 (3): 1-4 |
[35] | Niu S H, Zhang J, Luo R F, et al. How does climate policy uncertainty affect green technology innovation at the corporate level? New evidence from China[J]. Environmental Research, 2023, 237: 117003 |
[36] | Liu J R, Deng G Y, Yan J Z, et al. Unraveling the impact of climate policy uncertainty on corporate default risk: evidence from China[J]. Finance Research Letters, 2023, 58: 104385 |
[37] | Ren X, Zhang X, Yan C, et al. Climate policy uncertainty and firm-level total factor productivity: evidence from China[J]. Energy Economics, 2022, 113: 106209 |
[38] | Liu G Q, Luo K Y, Xu P F, et al. Climate policy uncertainty and its impact on major grain futures[J]. Finance Research Letters, 2023, 58: 104412 |
[39] | Hoque M E, Batabyal S. Carbon futures and clean energy stocks: do they hedge or safe haven against the climate policy uncertainty?[J]. Journal of Risk and Financial Management, 2022, 15 (9): 397 |
[1] | CHEN Ting-Ting, YU Wen-Jun, LI Yan-Zhong, BAI Peng, XING Yin-Cong, HUANG Man-Jie, SHAO Wei. The spatiotemporal changes and risk analysis of apparent temperature in China from 1960 to 2019 [J]. Climate Change Research, 2024, 20(3): 265-277. |
[2] | DONG Li-Li, ZHANG Han, LI Qing-Quan, WANG Fang, ZHAO Chong-Bo, XIE Bing. Comparative study on regional temperature simulation in China by different resolution CWRF models [J]. Climate Change Research, 2024, 20(2): 129-145. |
[3] | LIU Wei, YANG Yu-Da, ZHANG Sen. Reconstruction of the 1632 rainstorm and flooding event in North China [J]. Climate Change Research, 2024, 20(2): 146-157. |
[4] | LIU Hai-Yan, ZHENG Shuang, SUN Yi-Jia, YU Sheng-Min. Development problems and countermeasures of forestry carbon sink market based on Saihanba CCER projects [J]. Climate Change Research, 2023, 19(3): 381-388. |
[5] | NIE Xin-Yu, TAN Hong-Jian, CAI Rong-Shuo, GAO Xue-Jie. Projection of the tropical cyclones landing in China in the future based on regional climate model [J]. Climate Change Research, 2023, 19(1): 23-37. |
[6] | ZHAN Yun-Jian, CHEN Dong-Hui, LIAO Jie, JU Xiao-Hui, ZHAO Yu-Fei, REN Guo-Yu. Construction of a daily precipitation dataset of 60 city stations in China for the period 1901-2019 [J]. Climate Change Research, 2022, 18(6): 670-682. |
[7] | LIU Ji-Yi, ZHANG Yi-Chen, ZHANG Dong-Yu, FU Lin, CAO Ying. Analysis and enlightenment of the latest European Effort Sharing Regulation [J]. Climate Change Research, 2022, 18(6): 756-763. |
[8] | ZHANG Shi-Yan, HU Yong-Yun, LI Zhi-Bo. Recent changes and future projection of precipitation in Northwest China [J]. Climate Change Research, 2022, 18(6): 683-694. |
[9] | LI Tao, TAO Hui, CHEN Jin-Yu. Risk assessment of extreme low temperature events over the China-Pakistan Economic Corridor [J]. Climate Change Research, 2022, 18(3): 343-354. |
[10] | WANG Xia, WANG Ying, LIN Qi-Gen, LI Ning, ZHANG Xin-Ren, ZHOU Xiao-Ying. Projection of China landslide disasters population risk under climate change [J]. Climate Change Research, 2022, 18(2): 166-176. |
[11] | WANG Qian-Zhi, LIU Kai, WANG Ming. Evaluation of extreme precipitation indices performance based on NEX-GDDP downscaling data over China [J]. Climate Change Research, 2022, 18(1): 31-43. |
[12] | TANG Zi-Chen, LI Qing-Quan, WANG Li-Juan, WU Li-Quan. Preliminary assessment on CMIP6 decadal prediction ability of air temperature over China [J]. Climate Change Research, 2021, 17(2): 162-174. |
[13] | YUAN Zhi-Yi, LI Zhen-Yu, KANG Li-Ping, TAN Xiao-Yu, ZHOU Xin-Jun, LI Xiao-Jin, LI Chao, PENG Tian-Duo, OU Xun-Min. A review of low-carbon measurements and transition pathway of transport sector in China [J]. Climate Change Research, 2021, 17(1): 27-35. |
[14] | PAN Jin-Yu, SU Bu-Da, WANG Yan-Jun, JING Cheng, ZHAI Jian-Qing, JIANG Tong. Spatio-temporal changes of output value from the primary, secondary and tertiary industries for 2020―2050 under the Shared Socioeconomic Pathways [J]. Climate Change Research, 2020, 16(6): 725-737. |
[15] | Dai WANG,Yin-Chuan SUN,Qing-Long YOU. Contribution of Pacific Decadal Oscillation to interdecadal variability of winter minimum temperature in China [J]. Climate Change Research, 2020, 16(1): 70-77. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|