构建嵌套于城市碳账户下的可计算城乡家庭碳账户框架

doi:10.13776/j.cnki.resourcesindustries.20240304.003

资源与产业 ›› 2024, Vol. 26 ›› Issue (2): 1-12.DOI: 10.13776/j.cnki.resourcesindustries.20240304.003

• 非主题来稿选登 • 下一篇

构建嵌套于城市碳账户下的可计算城乡家庭碳账户框架

刘耕源^1,2,3 ，王丽娜⁴ ，高原¹ ，吴铭婉¹ ，徐多¹，陈钰¹ ，陈操操⁵ ，谢涛⁶ ，王泽鑫⁴

北京师范大学环境学院，北京 100875；2环境模拟与污染控制国家重点联合实验室，北京 100875；3北京市流域环境生态修复与综合调控工程技术研究中心，北京 100875；4北京腾景大数据应用科技研究院，北京 100020；5北京市应对气候变化管理事务中心，北京 100048；6北京雪迪龙科技股份有限公司，北京 102206）

收稿日期:2023-07-08 修回日期:2023-12-29 出版日期:2024-04-20 发布日期:2024-04-20
作者简介:刘耕源，博士、教授，主要从事城市代谢与生态管理研究。E-mail:liugengyuan@bnu.edu.cn
基金资助:
国家社会科学基金重大资助项目（22&ZD108）；国家自然科学基金项目（52070021）；中央高校基本科研业务费专项资金。

CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT

LIU Gengyuan^1,2,3 , WANG Lina4 , GAO Yuan¹ , WU Mingwan¹ , XU Duo¹ , CHEN Yu¹ , CHEN Caocao⁵ , XIE Tao⁶ , WANG Zexin⁴

(1 School of Environment, Beijing Normal University, Beijing 100875, China; 2 State Key Joint Laboratory of Environment Simulation and Pollution Control, Beijing 100875, China; 3 Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China; 4 Beijing Tengjing Big Data Research Institute, Beijing 100020, China; 5 Beijing Climate Change Management Centre, Beijing 100048, China; 6 Beijing SDL Technology Co., Ltd., Beijing 102206, China)

Received:2023-07-08 Revised:2023-12-29 Online:2024-04-20 Published:2024-04-20

摘要/Abstract

摘要： 家庭作为社会最小单元，是消费端的主要参与主体。在消费端基础上确立碳排放责任，有助于厘清基于利益相关者降低碳排放的动力机制。目前个人碳普惠管理实践过程中仍存在消费引发的碳排放边界难以说清、个人负碳市场交易逻辑复杂、个人减排逻辑道义纠结、缺乏稳定的管理体系等问题。若以家庭端作为制度安排和市场交易的基础，建立城乡家庭碳账户就是核心基石。本研究目标为初步构建家庭碳账户框架，明确其账户范围、边界、计算方法和与城市碳账户和个人碳捕获衔接的可扩展逻辑。综述了现有个人碳账户和家庭碳账户的研究现状，基于我国碳排放管理特色，构建城乡家庭碳账户体系，包含资产、权益、负债三大子账户，确定了家庭碳账户核算边界、抽样方式和计算方法。并进一步解释了城乡家庭碳账户与城市碳账户的链接嵌套逻辑，设计了城乡家庭碳账户参与城市碳配额管理的方式，以及区别了城乡家庭碳账户与个人碳普惠。从账户的角度出发，将家庭碳账户与碳市场相结合，“有形的手”碳配额市场与“无形的手”碳减排权益市场相结合，共同为家庭消费端碳减排提供了新的思路，并在一定程度避免了不同核算边界下的责任重叠问题，易于与我国碳管理体系衔接。本文提出的城乡家庭碳账户可作为适应中国碳管理特色的精细化深度减排的重要工具，对以家庭为单元的碳排放额度分配、减排及交易，深度推进碳普惠的激励机制设计，调动城市多级嵌套的碳减体系等具有基础支撑作用。

关键词: 家庭碳账户, 城乡地区, 碳减排, 碳普惠, 碳配额管理

Abstract:

Household as the basic social unit is the major consuming entity. Carbon emission responsibilities established on consumption end are helpful to clarify the stakeholder-based dynamic mechanism for carbon reduction. The present personal carbon management has a lot of issues, with unclear carbon emission boundary, complex personal carbon trading, personal carbon reduction entangling, and lack of stable management system, which can be resolved if household end as the trading base with urban-rural household carbon account being the core. This paper aims at establishing household carbon account framework on the basis of account range, margin, measurable methods and expandable linkage between urban carbon account and personal carbon sink. This paper summarizes the research situation of personal carbon account and household carbon account, and establishes a urban-rural household carbon account system including three sub-accounts of asset, equity and debits, and determines the measure margin, sampling method and calculation of household carbon account based on China’s featured carbon emission management system. Linkage of urban-rural household carbon account to urban carbon account has been further explained, and its methods have also been designed. Relation between urban-rural household carbon account and individual carbon inclusion is differentiated. Combination of household carbon account with carbon market, “visible hand” carbon quota market with “invisible hand” carbon reduction equity market provides a new path for household consumption end carbon reduction, which may avoid overlapping responsibilities and easily link to China’s carbon management system. Urban-rural household carbon account can be a vital tool for China’s carbon management and carbon reduction, supporting carbon emission quota allocation, carbon reduction and trading, incentive mechanism design for carbon inclusion and mobilization of multi-level nested carbon reduction systems in cities.

Key words: household carbon account, urban-rural areas, carbon reduction, carbon inclusion, carbon quota management

中图分类号:

F205

刘耕源, 王丽娜, 高原, 等. 构建嵌套于城市碳账户下的可计算城乡家庭碳账户框架[J]. 资源与产业, 2024, 26(2): 1-12.

LIU Gengyuan, WANG Lina, GAO Yuan, et al.

CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT [J]. Resources & Industries, 2024, 26(2): 1-12.

参考文献

贺丽莳, 单晓雨, 2022. 可持续发展背景下信息框架对绿色消费行为的影响研究: 基于共情的中介作用[J]. 资源与产业, 24(5): 124-134.〔HE L S, SHAN X Y, 2022.Impacts of information framework on green consumption behaviors under sustainable development based on mediating empathy[J]. Resources & Industries, 24(5): 124-134.〕

高原，刘耕源，陈操操，等， 2022.面向对标的我国城市温室气体排放核算方法框架[J]. 资源与产业， 24(3)： 1-20.〔GAO Y, LIU G Y, CHEN C C, et al., 2022. Benchmarking-oriented urban greenhouse gas accounting methodology framework in China[J]. Resources & Industries, 24(3): 1-20.〕

刘航, 2018. 碳普惠制: 理论分析，经验借鉴与框架设计[J]. 中国特色社会主义研究(5): 86-95.〔LIU H, 2018. Common benefiting carbon institution: theoretical analysis, referential experience and framework design[J].Studies on Socialism with Chinese Characteristics(5): 86-95.〕

卢乐书, 姚昕言, 2022. 碳普惠制理论与制度框架研究[J]. 金融监管研究(9): 1-20.〔LU L S, YAO X Y, 2022.The theory and institutional framework of carbon inclusion system[J]. Financial Regulation Research(9):1-20.〕

王淼蒨, 2019. 社区生活垃圾分类的绿色账户激励效果研究: 以上海市C区为例[D]. 上海: 上海交通大学.〔WANG M Q, 2019. A research on the incentive effect of green fortune for household waste classification in community: a case study in C district of Shanghai[D]. Shanghai: Shanghai Jiao Tong University.〕

王中航, 张敏思, 苏畅, 等, 2023. 我国碳普惠机制实践经验与发展建议[J].环境保护, 51(4): 55-59.〔WANG Z H, ZHANG M S, SU C, et al., 2023.Practical experience and development suggestions for carbon inclusiveness mechanism of China[J]. Environmental Protection, 51(4): 55-59.〕

王继龙, 冉霞, 2023. 促进形成绿色低碳生活方式的市场化新机制：碳普惠在北京市应用的研究[J]. 节能与环保(1): 26-28.〔WANG J L, RAN X, 2023. Research on the application of carbon GSP in Beijing: a new market-based mechanism for promoting green and low-carbon lifestyles[J]. Energy Conservation & Environmental Protection(1): 26-28.〕

杨静萱, 魏璟耀, 梁清潇, 等, 2020. 基于“绿色账户”实行的垃圾分类机制优化研究[J]. 经营与管理(7): 119-123.

曾静静, 张志强, 曲建升, 等, 2012. 家庭碳排放计算方法分析评价[J].地理科学进展, 31(10): 1341-1352.〔ZENG J J, ZHANG Z Q, QU J S, et al., 2012. Analysis and evaluation of methods for household carbon emissions calculation[J]. Progress

in Geography, 31(10): 1341-1352.〕

张玉华, 2013. 全民碳信用交易体系初探[J]. 上海师范大学学报(哲学社会科学版), 42(2): 47-54.〔ZHANG Y H, 2013. A preliminary research on national carbon credit trade system[J]. Journal of Shanghai Normal University(Philosophy & Social Sciences Edition), 42(2): 47-54.〕

ABRAHAM J E, HUNT J D, 1997. Specification and estimation of nested logit model of home, workplaces, and commuter mode choices by multiple-worker households[J]. Transportation Research Record (1): 17-24.

BAZHAIR A H, KHATIB S F A, AL AMOSH H, 2022.Taking stock of carbon disclosure research while looking to the future: a systematic literature review[J]. Sustainability, 14(20): 13475.

BIN S, DOWLATABADI H, 2005. Consumer lifestyle approach to US energy use and the related CO2 emissions[J]. Energy Policy, 33(2): 197-208.

CHANCEL L, 2022.Global carbon inequality over 1990-2019[J]. Nature Sustainability, 5(11): 931-938.

DUBOIS G, SOVACOOL B, AALL C, et al., 2019. It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures[J]. Energy Research & Social Science, 52: 144-158.

FAWCETT T, PARAG Y, 2010. An introduction to personal carbon trading[J]. Climate Policy, 10(4): 329-338.

FLEMING D, 1997. Tradable quotas: using information technology to cap national carbon emissions[J]. European Environment, 7(5): 139-148.

FLEMING D, 2005. Energy and the common purpose: descending the energy staircase with tradable energy quotas (TEQs)[M]. London: Lean Economy Connection.

HALBERG N, VERSCHUUR G, GOODLASS G, 2005. Farm level environmental indicators: are they useful?[J]. Agriculture, Ecosystems & Environment, 105(1-2): 195-212.

HENDRY A, WEBB G, WILSON A, et al., 2015. Influences on intentions to use a personal carbon trading system (NICHE-The Norfolk Island Carbon Health Evaluation Project)[J]. The International Technology Management Review, 5(2): 105-116.

HERTWICH E G, Peters G P, 2009. Carbon footprint of nations: a global, trade-linked analysis[J]. Environmental Science & Technology, 43(16): 6414-6420.

HILLMAN M, FAWCETT T, RAJAN S C, 2008. How we can save the planet: Preventing global climate catastrophe[M]. London: Macmillan.

IVANOVA D, STADLER K, STEEN-OLSEN K, et al., 2016. Environmental impact assessment of household consumption[J]. Journal of Industrial Ecology, 20(3): 526-536.

LEI M, DING Q, CAI W, et al., 2022.The exploration of joint carbon mitigation actions between demand-and supply-side for specific household consumption behaviors: a case study in China[J]. Applied Energy, 324: 119740.

LI J, ZHANG D, SU B, 2019. The impact of social awareness and lifestyles on household carbon emissions in China[J]. Ecological Economics, 160: 145-155.

MCGUIRK P, DOWLING R, BRENNAN C, et al., 2015. Urban carbon governance experiments: the role of Australian local governments[J]. Geographical Research, 53(1): 39-52.

PARAG Y, FAWCETT T, 2014. Personal carbon trading: a review of research evidence and real-world experience of a radical idea[J]. Energy and Emission Control Technologies, 2: 23-32.

ROY S, WOERDMAN E, 2012.End-user emissions trading: what, why, how and when?[J]. SSRN Electronic Journal. DOI:10.2139/ssrn.2144742.

SHIRLEY R, JONES C, KAMMEN D, 2012.A household carbon footprint calculator for islands: case study of the United States Virgin Islands[J]. Ecological Economics, 80: 8-14.

THE FOUNDATION FOR THE ECONOMICS OF SUSTAINABILITY(FEASTA）, 2008. Cap and share: a fair way to cut greenhouse gas emissions[EB/OL].[2023-02-01]. www.feasta.org/documents/energy/Cap-and-Share-May08.pdf.

UNITED NATIONS ENVIRONMENT PROGRAMME(UNEP), 2020. Emissions gap report 2020[EB/OL]. (2020-09-09)[2023-02-01]. https://www.unep.org/emissions-gap-report-2020.

WEI Y M, LIU L C, FAN Y, et al., 2007. The impact of lifestyle on energy use and CO₂ emission: an empirical analysis of China’s residents[J]. Energy Policy, 35(1): 247-257.

WEBB G, HENDRY A, ARMSTRONG B, et al., 2014. Exploring the effects of personal carbon trading (PCT) system on carbon emission and health issues: a preliminary study on the Norfolk island[J]. The International Technology Management Review, 4(1): 1-11.

[1]	陈军飞, 车雅静, 顾岩, 等. 碳减排和水生态承载双重约束下的江苏化工产业结构优化研究 [J]. 资源与产业, 2024, 26(2): 111-123.
[2]	孟晓虹, 郭丕斌, 吴青龙. 基于专利信息分析的洁净煤技术研发现状和趋势分析 [J]. 资源与产业, 2024, 26(2): 164-172.
[3]	潘海英, 陈玲, 任佳佳. 数字经济发展的碳减排效应研究——兼论异质性环境规制的调节作用[J]. 资源与产业, 2023, 25(6): 1-14.
[4]	任静，于鲁冀. 基于终端能源消费的河南省碳减排策略探析[J]. 资源与产业, 2012, 14(5): 30-34.
[5]	罗金玲, 高冉, 黄文辉, 霍达, 王彦宁. 中国二氧化碳减排及利用技术发展趋势[J]. 资源与产业, 2011, 13(1): 132-137.

构建嵌套于城市碳账户下的可计算城乡家庭碳账户框架

CONSTRUCTION OF COMPUTABLE RURAL-URBAN HOUSEHOLD CARBON ACCOUNT FRAMEWORK NESTED IN URBAN CARBON ACCOUNT

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics