Updating Input–Output Tables with Benchmark Table Series

Wang, Huiwen; Wang, Cheng; Zheng, Haitao; Feng, Haoyun; Guan, Rong; Long, Wen

doi:10.1080/09535314.2015.1053846

Cited by 18 publications

(11 citation statements)

References 30 publications

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“…The main idea of MTT method is to release the constraints in benchmark input-output tables, and then interpolate the other years' unconstrained tables, and finally back-transform the other years' unconstrained tables into input-output tables. Detailed methodology can be found in Wang et al [14]. This paper proposes to measure the carbon emissions from 29 industries, and then construct a table of direct carbon emission coefficients and a table of …”

Section: Carbon Intensity Of Loans and Non-performing Loan Ratio Of Cmentioning

confidence: 99%

The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China

Guan

Zheng

et al. 2017

Sustainability

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Abstract:In response to the call of the Chinese government to support low-carbon development, the issue has come to the view gradually as to whether the behaviors of banks' green credit will contribute to easing their own credit risk. To reflect the behaviors of green credit of banks in detail, an indicator, named the carbon intensity of loans (CIL), is first proposed in this paper to measure the carbon emissions with association of the loans for commercial banks, on basis of the series of the input-output table. Then, a panel data model is used to explore the relationship between CIL and non-performing loan ratio, which measures the credit risk of banks. Based on the data of China's commercial banks from 2007 to 2014, an empirical study has been conducted to investigate the impacts of CIL upon the non-performing loan ratio from a microscopic-level perspective. The result indicates that CIL has a positive effect on the non-performing loan ratio of banks. Since CIL is considered a significant indicator for the banks' green credit, this paper comes to a conclusion that the green credit policy not only contributes to achieving of the emission-reduction targets for the society, but also promotes the development of banks' credit risk.

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Section: Carbon Intensity Of Loans and Non-performing Loan Ratio Of Cmentioning

confidence: 99%

The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China

Guan

Zheng

et al. 2017

Sustainability

Self Cite

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“…Zheng et al [35] have updated China's input-output (IO) tables from 1992 to 2020. These IO table series are updated by MTT [34], rather than the Biproportional Scaling Method (RAS), which is most commonly applied for forecasting IO tables. The idea of MTT is to forecast the elements in the input-output matrix one by one.…”

Section: Updating Input-ouput Table Seriesmentioning

confidence: 99%

“…Third, use the final demand data and unconstrained matrix to calculate every element in the IO matrix. The specific process can refer to Zheng et al [35] and Wang et al [34]. The prominent advantage of MTT is that it takes into account that the transaction coefficients are changing over time while almost all of the existing methods, including the RAS method, rely heavily on the assumption that they will not dramatically change [34].…”

Section: Updating Input-ouput Table Seriesmentioning

confidence: 99%

China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020

Zheng

Wang

et al. 2017

Sustainability

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Abstract:Reducing carbon emissions is a major concern for China's future. This paper explores the embodied carbon footprint of Chinese final demand from the point of view of industries. It uses the Matrix Transformation Technique (MTT) to update the input-output table series from 1992 to 2020 in China. Then, we measure the embodied carbon emissions for the period 1992-2020 from 29 industry producers to the final demand, covering urban and rural residential consumption, government consumption, fixed capital formation, and net exports. The results show that construction, other services, wholesale, retail trade, accommodation and catering, industrial machinery and equipment, transport, storage and postal services, and manufacture of foods and tobacco are the industries with the greatest carbon emissions from producers, while fixed capital formation and urban consumption are the largest emitters from the perspective of final demand. The embodied carbon emission multipliers for most of the industries are decreasing, while the total carbon emissions are increasing each year. The ratio of emissions from residential consumption in terms of total emissions is decreasing. Each industry has a different main final demand-driven influencing factor on emission and, for each type of final demand, there are different industries with higher emissions.

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“…The important issue is that the blocks kept have entries with similar orders of magnitude 16. Methods for generating synthetic I/O matrices can be found in[45], which used a cubic polynomial with coefficients generated from a standardized normal distribution. The work[28] added either a normally or a uniformly distributed disturbance term to six heterogeneous origin-destination matrices, whereas[9] also added random terms to the elements of the I/O tables.…”

mentioning

confidence: 99%

Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables

Metulini¹,

Gnecco²,

Biancalani³

et al. 2022

Preprint

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World Input-Output (I/O) matrices provide the networks of within-and cross-country economic relations. In the context of I/O analysis, the methodology adopted by national statistical offices in data collection raises the issue of obtaining reliable data in a timely fashion and it makes the reconstruction of (part of) the I/O matrices of particular interest. In this work, we propose a method combining hierarchical clustering and Matrix Completion (MC) with a LASSO-like nuclear norm penalty, to impute missing entries of a partially unknown I/O matrix. Through simulations based on synthetic matrices we study the effectiveness of the proposed method to predict missing values from both previous years data and current data related to countries similar to the one for which current data are obscured. To show the usefulness of our method, an application based on World Input-Output Database (WIOD) tables -which are an example of industry-by-industry I/O tables -is provided. Strong similarities in structure between WIOD and other I/O tables are also found, which make the proposed approach easily generalizable to them.

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Updating Input–Output Tables with Benchmark Table Series

Cited by 18 publications

References 30 publications

The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China

The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China

China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020

Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables

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