An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data
Abstract Inter-regional input-output (IRIO) tables are essential for socioeconomic and environmental analysis. This paper compiled a continuous time series of Chinese IRIO tables with a detailed regional and sectoral classification, covering a longer period from 1987 to 2017 than existing Chinese IR...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04263-3 |
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| author | Qiong Zhao Chen Pan Zengkai Zhang Xuefan Guo Kunfu Zhu Jianwu He Shantong Li |
| author_facet | Qiong Zhao Chen Pan Zengkai Zhang Xuefan Guo Kunfu Zhu Jianwu He Shantong Li |
| author_sort | Qiong Zhao |
| collection | DOAJ |
| description | Abstract Inter-regional input-output (IRIO) tables are essential for socioeconomic and environmental analysis. This paper compiled a continuous time series of Chinese IRIO tables with a detailed regional and sectoral classification, covering a longer period from 1987 to 2017 than existing Chinese IRIO tables. Additionally, we integrated the China provincial CO2 emission inventory data (1987–2017) to analyze trends and identify the main driving factors behind regional economic linkages and carbon emissions changes. Specifically, we adjusted the initial values of the international and interprovincial imports and exports using customs data. Subsequently, we employed the minimum cross-entropy model to balance the adjusted input-output tables (IOTs) from both row and column perspectives. Following this, we estimated the interprovincial trade flow for each sector using the gravity model. Then, we balanced these estimates with the minimum cross-entropy model to form the multi-regional input-output (MRIO) table. Finally, we constructed the IRIO table based on the proportion assumption. The compiled IRIO tables, integrated with carbon emission data, have significant applications in regional economic analysis, policy evaluation, and environmental studies. |
| format | Article |
| id | doaj-art-1d32ca5c439d4f43970f51fe14c3c232 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-1d32ca5c439d4f43970f51fe14c3c2322025-08-20T01:57:15ZengNature PortfolioScientific Data2052-44632024-12-0111111410.1038/s41597-024-04263-3An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission dataQiong Zhao0Chen Pan1Zengkai Zhang2Xuefan Guo3Kunfu Zhu4Jianwu He5Shantong Li6College of Management and Economics, Tianjin Universitylnstitute of Quantitative and Technological Economics, Chinese Academy of Social SciencesState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen UniversitySchool of Public Policy and Management, Tsinghua UniversitySchool of Economics, Renmin University of ChinaDepartment of Development Strategy and Regional Economy, Development Research Center of the State CouncilDepartment of Development Strategy and Regional Economy, Development Research Center of the State CouncilAbstract Inter-regional input-output (IRIO) tables are essential for socioeconomic and environmental analysis. This paper compiled a continuous time series of Chinese IRIO tables with a detailed regional and sectoral classification, covering a longer period from 1987 to 2017 than existing Chinese IRIO tables. Additionally, we integrated the China provincial CO2 emission inventory data (1987–2017) to analyze trends and identify the main driving factors behind regional economic linkages and carbon emissions changes. Specifically, we adjusted the initial values of the international and interprovincial imports and exports using customs data. Subsequently, we employed the minimum cross-entropy model to balance the adjusted input-output tables (IOTs) from both row and column perspectives. Following this, we estimated the interprovincial trade flow for each sector using the gravity model. Then, we balanced these estimates with the minimum cross-entropy model to form the multi-regional input-output (MRIO) table. Finally, we constructed the IRIO table based on the proportion assumption. The compiled IRIO tables, integrated with carbon emission data, have significant applications in regional economic analysis, policy evaluation, and environmental studies.https://doi.org/10.1038/s41597-024-04263-3 |
| spellingShingle | Qiong Zhao Chen Pan Zengkai Zhang Xuefan Guo Kunfu Zhu Jianwu He Shantong Li An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data Scientific Data |
| title | An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data |
| title_full | An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data |
| title_fullStr | An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data |
| title_full_unstemmed | An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data |
| title_short | An inter-regional input-output table series of China from 1987–2017 with integrated carbon emission data |
| title_sort | inter regional input output table series of china from 1987 2017 with integrated carbon emission data |
| url | https://doi.org/10.1038/s41597-024-04263-3 |
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