Research on the Impact of Industrial Digitalization on High-Quality Economic Development: Evidence from China

This paper presents a New Keynesian dynamic stochastic general equilibrium model with price stickiness, employing macro-quarterly data and Bayesian estimation for parameter estimation. The study dissects the impact of industrial digitalization into three key components: total factor productivity shock, investment marginal efficiency shock, and capital-to-labor substitution shock. The paper then analyzes the mechanism through which industrial digitalization influences the high-quality development of the economy using impulse response analysis and historical variance decomposition. The result shows that: In terms of economic growth, all three types of shocks resulting from industrial digitalization contribute to output expansion, with the investment marginal efficiency shock rapidly boosting output in the short term. However, the technology shock has the most noticeable long-term effect on output growth. In the labor market, the investment marginal efficiency shock positively impacts employment and wages. The effects of the technology shock and capital-to-labor substitution shock on employment and wages first show suppression before enhancement. In the commodity market, the three shocks exert more pronounced effects in the medium and long term, bolstering investment and consumption to varying degrees. In light of these findings, policy recommendations include promoting the development of digital infrastructure, implementing proactive employment policies, offering robust industrial support for the digitalization of traditional enterprises, and fostering a favorable market environment

Heterogeneous Effects of Urban Sprawl on Economic Development: Empirical Evidence from China

Identifying the effects of urban sprawl on urban development is of strategic importance. This study takes 285 prefecture-level and above cities in China as research samples and empirically analyzes the heterogeneous impact of urban sprawl on economic development from 2009 to 2018. Results indicate the threshold effect of urban sprawl on economic development. That is, moderate urban sprawl has a significantly positive influence on economic development, whereas excessive urban sprawl has a significantly negative impact on economic development. The empirical analysis also identifies heterogeneities in the effects of urban sprawl on economic development. Compared with the sprawls of small- and medium-sized cities, those of large cities have a greater negative impact on economic development. Compared with the sprawls of cities dominated by the tertiary industry, those of cities dominated by the secondary industry have a greater negative impact on economic development. Findings of this study have important policy implications for scientific urban expansion, reasonable urban spatial layout, and sustainable urban economic development

Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China

Based on new data from 2006–2015, we used the entropy method and panel data regression to analyze the spatial difference and influences on the level of sustainable development within China’s Yangtze River Delta urban agglomeration. The main findings are: (1) During the 2006–2015 period, the sustainable development level of the Yangtze River Delta urban agglomeration was generally low, with 69% of its cities in a phase of low-level sustainable development; however, notable spatial variation in the levels of urban sustainable development occurred mainly along the “Hu-Ning-He-Hang-Yong development belt”, with a spatial distribution that was “high in the middle and low on all sides”. (2) The industrial structure, export dependence, and land-use efficiency all had positive impacts, whereas economic growth had a negative impact, on the sustainable development level of the Yangtze River Delta urban agglomeration. (3) For the super large city, export dependence positively impacted the urban sustainable development level; for the large city, both export dependence and land-use efficiency had a positive influence, while the regulation of government had a negative influence on the urban sustainable development level; for the medium-sized city, export dependence and land-use efficiency positively influenced the urban sustainable development level, but economic growth and the regulation by government negatively influenced it

Is the Urban Shrinkage Inhibits the Improvement of Public Service Level?

Public services provide convenient conditions for urban residents to study,work and live, and have important significance for improving the lifequality of residents and improving the level of welfare. However, whileChina’s spatial economic is heading towards agglomeration development,a large number of cities have shrunk, which has made unbalanced supplyof public services between regions increasingly prominent. Based on theexisting literature and the development reality, this paper analyzes theimpact of urban shrinkage on the public service level from the publicservice supply mechanism, and discusses the heterogeneous effects ofdifferent labor shrinkage on public services. The results of the study showthat urban shrinkage will inhibit the improvement of public service level,but inter-governmental competition makes the labor shrinkage of industryand service industry promote the improvement of public service level. Inaddition, this paper takes economic development level as a moderatingvariable to study the moderating effect of economic development level inthe impact of urban shrinkage on public service levels. It is found that thereduction of economic development level will promote government competition and provide more public services

Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China

Based on new data from 2006–2015, we used the entropy method and panel data regression to analyze the spatial difference and influences on the level of sustainable development within China’s Yangtze River Delta urban agglomeration. The main findings are: (1) During the 2006–2015 period, the sustainable development level of the Yangtze River Delta urban agglomeration was generally low, with 69% of its cities in a phase of low-level sustainable development; however, notable spatial variation in the levels of urban sustainable development occurred mainly along the “Hu-Ning-He-Hang-Yong development belt”, with a spatial distribution that was “high in the middle and low on all sides”. (2) The industrial structure, export dependence, and land-use efficiency all had positive impacts, whereas economic growth had a negative impact, on the sustainable development level of the Yangtze River Delta urban agglomeration. (3) For the super large city, export dependence positively impacted the urban sustainable development level; for the large city, both export dependence and land-use efficiency had a positive influence, while the regulation of government had a negative influence on the urban sustainable development level; for the medium-sized city, export dependence and land-use efficiency positively influenced the urban sustainable development level, but economic growth and the regulation by government negatively influenced it

Heterogeneous Effects of Urban Sprawl on Economic Development: Empirical Evidence from China

Identifying the effects of urban sprawl on urban development is of strategic importance. This study takes 285 prefecture-level and above cities in China as research samples and empirically analyzes the heterogeneous impact of urban sprawl on economic development from 2009 to 2018. Results indicate the threshold effect of urban sprawl on economic development. That is, moderate urban sprawl has a significantly positive influence on economic development, whereas excessive urban sprawl has a significantly negative impact on economic development. The empirical analysis also identifies heterogeneities in the effects of urban sprawl on economic development. Compared with the sprawls of small- and medium-sized cities, those of large cities have a greater negative impact on economic development. Compared with the sprawls of cities dominated by the tertiary industry, those of cities dominated by the secondary industry have a greater negative impact on economic development. Findings of this study have important policy implications for scientific urban expansion, reasonable urban spatial layout, and sustainable urban economic development