Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables

Wang, Tao; Xiao, Shiying; Yan, Jun; Zhang, Panpan

doi:10.1016/j.physa.2021.126196

Cited by 22 publications

(14 citation statements)

References 75 publications

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“…If a cycle contains p nodes, it is called p-order cycle. Te closed path starting from its any node, traveling the nonrepeating edges once and only once, and then returning to the starting node in the IRIN is defned as the ICN, which is abstracted as a graph ICN � (V, E, W) composed of a node set V, an edge set E, and a weight set W. Because of the efectiveness of the complex industry network in depicting the actual multiregional economic system and its high ability to explore the economic structure and momentum profts [44,47], the ICN can be constructed on the IRIN to reveal the core structural mechanism of the sustainable economic development and structural evolution, and dynamics of the multiregional economic system. Te ICN is a subnetwork with the most nodes formed by the merger and nesting of industrial cycles, in which the in-degree of any node is equal to its out-degree, and the ICN is an Euler graph in essence [48].…”

Section: Models and Methods Of Inter-regionalmentioning

confidence: 99%

Construction and Structural Analysis of Inter‐Regional Industrial Circular Network: A Case of the Middle and Lower Reaches of the Yellow River in China

et al. 2022

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Imbalance, incoordination, and inter-regional economic segmentation of the middle and lower reaches of the Yellow River (MLYR) have brought challenges to high-quality development in the Yellow River basin. To solve the problem, from the perspective of optimization of inter-regional economic circulation, combining input-output technology and complex network model, we proposed a systematic framework for structural analysis of circular economy and applied it in analysis of economic circulation of the MLYR. Firstly, we defined the inter-regional industrial circular network (ICN) and proposed the construction method of the ICN. Secondly, we designed indicators such as network, cycle, and inter-regional circulation effects to measure the structural characteristics of industrial circular network. Thirdly, the models and indicators were applied to explore the structural factors, revealing how the economic circulation was hindered and imbalance of development happened in the MLYR. We found that the external inter-regional circulation of the provinces was more differentiated, and limitation of utilization of technological resources and inter-regional capital flow, and weak investment and consumption demand for emerging services inhabited the quantity and vitality of cycles, which resulted in the imbalance of regional development in the MLYR. The results provide a basis for the suggestion, such as collaborative scientific and technological innovation, building a unified and efficient financial market, and development of emerging industries. The model and method were verified in the case of the MLYR and have practical meaning in supporting policy-making on promoting high-quality development of China.

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Section: Models and Methods Of Inter-regionalmentioning

confidence: 99%

Construction and Structural Analysis of Inter‐Regional Industrial Circular Network: A Case of the Middle and Lower Reaches of the Yellow River in China

et al. 2022

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“…There were two large groups in the world production system, the European group and the North American group, with Germany as the core (countries in the Far East were temporarily absent). Wang et al (2021) constructed multiple input-output networks from 2007 to 2012 for the selection of key industries and associations by China's multi-regional input-output table, and found that the provinces covered by industrial associations were less and less, while the key industries were mostly distributed in Guangdong Province, Jiangsu Province and many other coastal provinces in Southeast China.…”

Section: Inherent Industries In the Input-output Tablementioning

confidence: 99%

“…In recent years, scholars often start with the structural attributes of input-output networks, study industrial position and industrial clusters simultaneously, and explore the correlation between industries (Theodore, 2017;Wang et al, 2021). In terms of time and space, with the enrichment of inputoutput data and the improvement of input-output data in multiple regions, relevant research has also developed from the original single-year and single-region research to multiyear and multi-region research (Cerina et al, 2015;Piccardi et al, 2018;Xu and Liang, 2019).…”

Section: The Cluster Of Industrymentioning

confidence: 99%

Review of the input-output network and its application in energy and mineral industries

Li²,

Wen³

et al. 2022

Front. Energy Res.

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Nowadays, it has become a widespread consensus to deal with global warming through carbon emission reduction among mainstream scientists in the world. As the main battlefield and main force to achieve carbon peak and carbon neutrality, the energy and mineral industries play a crucial role. At the same time, as the basic industries provide energy and raw materials, the energy and mineral industries and other industries form a complex and integrated economic system with each other through input-output correlation. It can provide scientific reference for policymakers and market investors to quantitatively reveal the overall structure of the industry and deeply analyze the role and position of energy and mineral industries in it. Combining the input-output analysis with the complex network theory, the input-output network is a set of theoretical methods with strong theory and application to describe the industrial association structure both between economies and within them, and a powerful tool for studying linked character between energy and mineral industries and related industries, carbon emission, environmental protection and so on from the perspective of physical economics. Based on document analysis, this paper introduces the concept and theoretical basis of the input-output network and energy and mineral industries, and then systematically expounds the research status of the input-output network from several dimensions such as data source, research object, and research question. Finally, the paper summarizes research methods, research objects, and application scope of the input-output network, points out the weak links, and prospects some future development directions in energy and mineral industries.

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“…The level of economic connection not only illustrates the radiation capability of an economic powerhouse to the surrounding areas, but also shows the reception of the surrounding areas to the radiation of the economic powerhouse [28]. The relevant research methods mainly include the gravity model [29,30], urban flow intensity [31], locked connection within the city [32], input-output table [33,34], proportional method [35], etc. In view of the subjectivity of the gravity model, the questionable adaptability of urban flow intensity to the industrial development stage, and the limitations of data reliability and authority in the locked connection within the city, this paper adopts the proportional method in combination with the domestic inter-provincial trade volume in the input-output table.…”

Section: Evaluation Indexes Of Urban External Economic Connection Levelsmentioning

confidence: 99%

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

et al. 2022

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As a densely overlapping area under the national overarching development strategy, the Chengdu–Chongqing Economic Circle (CCEC) possesses a significant strategic location. However, compared with the other three growth pillars, the economic energy of the CCEC is still at a low level and in urgent need of improvement, which has to be implemented step by step in a systematic manner. At present, the focus remains on the two central cities—Chengdu and Chongqing. In contrast to the traditional evaluation of the regional economic energy level (EEL) solely from the “internal comprehensive development level”, this paper takes an angle on the interdependence and co-existence of “field source” and “field” to construct a preliminary index system which accounts for the “external economic connection level” as well. We then calibrate and validate the proposed model from both statistical and empirical angles. Finally, by optimizing the model, this paper evaluates the EELs of the Chengdu–Chongqing twin cities by fuzzy integrals of comprehensive weights. The results show the following: (1) From the perspective of overall indicators, the EELs of Chengdu and Chongqing have been rising from 2000 to 2018. In 2019, due to deglobalization and the Sino-US trade war, both cities appeared to reach an inflection point. (2) In terms of horizontal comparison, the EELs of the two cities basically coincide with each other, in line with the positioning of Chengdu–Chongqing as the two leading cities in Western China. However, their EELs have been lagging behind those of Beijing, indicating more room for further improvement. (3) From the point of view of sub-indexes, Chongqing has the advantage in the “external economic connection level” while Chengdu has the advantage in the “internal comprehensive development level”. The dislocation and complementarity of Chongqing and Chengdu has become an opportunity to break away from the stiff competition and jointly improve their EELs. (4) By comparing our evaluation with the traditional assessment, we note that the EEL tends to be misestimated if comprehensive factors regarding the “external economic connection level” are not taken into account.

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Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables

Cited by 22 publications

References 75 publications

Construction and Structural Analysis of Inter‐Regional Industrial Circular Network: A Case of the Middle and Lower Reaches of the Yellow River in China

Construction and Structural Analysis of Inter‐Regional Industrial Circular Network: A Case of the Middle and Lower Reaches of the Yellow River in China

Review of the input-output network and its application in energy and mineral industries

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

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