Compilation of a City-Level & Four-Digit Industry Code MRIO Table Based on Firm-Level Data

Abstract

Scholars have attempted to compile various multi-region input-output (MRIO) tables for different countries. However, due to city-level data scarcity and methodology constraints, almost no MRIO table covers a large number of cities with more disaggregated sectors in countries with large economies, such as China. Based on two large-scale firm-level datasets, the China Annual Survey of Industrial Firms (CASIF) survey and the China Customs Data (CCD) database, from 2000 to 2013, this paper uses China as a case study and presents a new compilation method to construct an MRIO table covering 284 prefecture-level administrative cities and 334 four-digit sectors, which is by far the most comprehensive MRIO table with the largest number of cities and the most segmented industries in China. Unlike existing MRIO tables constructed based on provincial single-region IO (SRIO) tables, we use information along with various linear constraints implied by sector-level and firm-level statistics. This paper expands on the direct decomposition method by developing auxiliary econometric models necessary for estimations and consistency adjustment. In addition, a comparative analysis shows the reliability of our method, which guarantees better coherence and comparability with the MRIO officially published by the National Bureau of Statistics of China (NBS). Therefore, our proposed methodology provides the possibility of producing more disaggregated MRIO tables in other similar contexts.

Special Economic Zone, Carbon Emissions and the Mechanism Role of Green Technology Vertical Spillover: Evidence from Chinese Cities

“…(3) Replace the indicator for the mechanism variable. We use the MRIO table from the study by Zheng and others [ 62 ] to measure green technology vertical spillover instead of the table from the study by Chen and others [ 42 ]. The results in Table 5 remain consistent with those in baseline regression, showing that our models are robust.…”

“…To test the hypotheses, this paper applies city-level panel data covering 264 prefecture-level cities from 2011 to 2016 in China to ensure reliable empirical results. In addition, to measure the technological vertical spillover, we employ an advanced MRIO table [ 42 ], which covers 297 prefecture-level cities and 28 sectors in China.…”

“…In addition, national-level zones have advantages over provincial-level ones in terms of size, strength, and access to preferential policies. The MRIO table used to measure green technology vertical spillover is from the study by Chen and others [ 42 ]. Compared to currently available Chinese MRIO tables, which have a very low resolution at the regional (or provincial) and sectoral levels, this table includes 297 prefecture-level cities and 28 sectors.…”

“…However, their study only considered the economic linkages among 17 categories of industries in China. Differently, this paper applies the latest input–output tables developed by Chen and others [ 42 ], which is more segmented in spatial and industrial dimensions. As a result, the indicators we measure can better reflect the economic linkages between different regions in China.…”