Exploring the Impact of “Double Cycle” and Industrial Upgrading on Sustainable High-Quality Economic Development: Application of Spatial and Mediation Models
Abstract:In the context of the integration into the world economy, the domestic and international cycles of the economy constitute the basic pattern of economic operation. This pattern is closely related to the industrial structure, and obviously it can affect quality of the economic development. The Chinese government has put forward an international and domestic dual cycle strategy for reinforcing an environmentally sustainable high-quality economic development. Similarly, it seems critically important to explore wha… Show more
“…In the process of economic transformation, economic liberalization has promoted interregional labor mobility, industrial linkages, and R&D cooperation to a great extent [33,34]. More specifically, plenty of cities, especially in the central and coastal regions, have upgraded and diversified local industries as part of the economic transformation [35,36]. Recent research shows that a significant characteristic of China's industrial diversity is path dependence [23].…”
In the era of the knowledge economy with the superfluidity of information, labor, and goods, the ability to establish external knowledge linkages has become an indispensable asset for the development of regional industries. Based on the assumption that knowledge spillovers decay with distance, several existing studies have explored the role of neighboring regions in local industrial upgrading. Meanwhile, a small but growing literature has explored the evolution of regional comparative advantage from the perspective of multi-location territorial knowledge dynamics (TKDs), exploring multi-locational knowledge interactions (including proximity interactions and distance interactions) and their regional economic effects in the process of knowledge flows. Inspired by the literature on multi-location TKDs, this paper examines two hypotheses: (1) In addition to local capabilities, external knowledge linkages also have a positive effect on local industrial upgrading; (2) the stronger the knowledge linkages, the more similar the regional comparative advantage. Through an analysis of data on authorized patent citation and the two-digit manufacturing industry from Chinese cities in 2011 and 2016, we find that the knowledge flow networks among Chinese cities are characterized by strong external knowledge linkages to both adjacent and distant regions. Further analysis reveals that a particular Chinese city has a higher probability of developing comparative advantages if it maintains strong knowledge linkages with a city specialized in the same industry. In addition, the comparative advantages of regions with strong knowledge linkages are more similar than regions with weak knowledge linkages.
“…In the process of economic transformation, economic liberalization has promoted interregional labor mobility, industrial linkages, and R&D cooperation to a great extent [33,34]. More specifically, plenty of cities, especially in the central and coastal regions, have upgraded and diversified local industries as part of the economic transformation [35,36]. Recent research shows that a significant characteristic of China's industrial diversity is path dependence [23].…”
In the era of the knowledge economy with the superfluidity of information, labor, and goods, the ability to establish external knowledge linkages has become an indispensable asset for the development of regional industries. Based on the assumption that knowledge spillovers decay with distance, several existing studies have explored the role of neighboring regions in local industrial upgrading. Meanwhile, a small but growing literature has explored the evolution of regional comparative advantage from the perspective of multi-location territorial knowledge dynamics (TKDs), exploring multi-locational knowledge interactions (including proximity interactions and distance interactions) and their regional economic effects in the process of knowledge flows. Inspired by the literature on multi-location TKDs, this paper examines two hypotheses: (1) In addition to local capabilities, external knowledge linkages also have a positive effect on local industrial upgrading; (2) the stronger the knowledge linkages, the more similar the regional comparative advantage. Through an analysis of data on authorized patent citation and the two-digit manufacturing industry from Chinese cities in 2011 and 2016, we find that the knowledge flow networks among Chinese cities are characterized by strong external knowledge linkages to both adjacent and distant regions. Further analysis reveals that a particular Chinese city has a higher probability of developing comparative advantages if it maintains strong knowledge linkages with a city specialized in the same industry. In addition, the comparative advantages of regions with strong knowledge linkages are more similar than regions with weak knowledge linkages.
“…Under the background of comprehensive digital transformation of manufacturing industry, intelligent manufacturing and customized production in manufacturing industry will become the main business of manufacturing industry. [19] This major change in the production mode of manufacturing products includes the following three aspects: first, the transformation from automatic production to intelligent production; second, standardized production should be transformed into personalized production; third, centralized production should be transformed into distributed production.…”
Based on panel data from 30 provinces in mainland China from 2011 to 2017, this research investigates the spatial spillover effect and nonlinear impact of digital economy (DE) on green and high-quality manufacturing industry (GHMI) using the spatial econometric and panel threshold model. It is found that both the DE and GHMI have a significant positive spatial correlation. The spatial econometric model under different weights all illustrate that regional DE has not significantly promoted GHMI in local region, but produced a significant positive influence on GHMI in neighboring regions. The east region has a higher degree of DE, while the level of DE in the central and west regions are both lower and close to each other. The level of GHMI shows a decreasing pattern in the east, central and west regions in that order. In addition, the impact of DE on GHMI presents a significant single threshold effect. With the improvement of DE, GHMI has a U-shaped change trend. Attention should be paid to the threshold effect of DE on GHMI, control the development speed of DE within a reasonable range, scientifically allocate DE resources according to different regional economic development levels in order to promote GHMI.
“…This paper chooses the proportion of agricultural technicians per 10,000 rural population to measure the development of scientific research in rural areas. (5) Achievement sharing. The sharing of development achievements is the fundamental goal of high-quality economy.…”
Section: Indicator Selectionmentioning
confidence: 99%
“…In the modern age, the high-quality development should rely more on the improvement of production efficiency, structural optimization, and innovation brought by science and technology [5], rather than the traditional factor-dependent growth mode. That is because from the perspective of economic sustainability: economy (employment), environment and equity [6], the development of digital economy is conductive to resolving the "internal conflict" of economic interests, namely the conflict between profit and equity (social justice).…”
“Digital villages construction” and “high-quality economic development” are both key topics to the sustainable development in China. Chinese has attached great importance to agriculture and rural development in recent years, thus exploring the connections between the two topics from a rural perspective is of practical importance. This paper aims to see if there is a connection between digital village construction and high-quality economic development, and how the digital village construction accelerates the high-quality development of the rural economy. After building the index system, this paper evaluates present development level of digitalization and high-quality economy in rural areas by the Entropy Weight TOPSIS method and empirically tests the direct and indirect effect of rural digital construction on the high-quality rural economic development relatively based on the fixed effect model and the mediation effect model. To study deeply, four major regions and five influence paths are analyzed, respectively. The results show that there is a positive correlation between the construction of digital villages and the high-quality development of rural economy. Meanwhile, the entrepreneurial activity of digital industries is a crucial mechanism for digital villages construction to promote the high-quality development of rural economy. This paper innovatively builds relevant index systems and analyzes the transmission mechanism of digitalization to high-quality development from a rural perspective, though it analyzes at the provincial level, which is less specific. Overall, it will be beneficial for economics researchers who study digital economy and rural development and policy makers who give counsel for economic development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.