China's transport infrastructure distribution and its economic activities have largely the same pattern of spatial clusters. This paper aims to determine whether causal linkages exist between transport infrastructure investment and economic growth in China at national and regional levels. We examine causality in a panel cointegration and a Granger causality framework using time series data throughout the 1978–2008 period. The empirical findings show that in the long run, at the national level, there is unidirectional Granger causality from economic growth to transport infrastructure; at the regional level, there exists bidirectional causality in the affluent eastern region while the low-income central and western regions exhibit unidirectional Granger causality from economic growth to transport infrastructure. These results imply that an improvement in transport infrastructure alone is not sufficient for stimulating economic growth in the underdeveloped areas of China. To better realize the economic benefits brought by transport infrastructure, the Chinese government should pay serious attention to the development of complementary factors in the central and western provinces.

Since the 1978 economic reform, China has undergone a historical process of rapid urbanization. Although this process has been recognized as a key factor in the development of sustainable growth in China, low quality rural labor continues to limit the effectiveness of the country’s urbanization. Our study uses a spatial analysis framework to explore how the education level of rural laborers moderates the effect of urbanization on economic growth with provincial data collected from 1996 to 2015. Our results reveal that the influence of population urbanization on sustainable growth is mediated by the improvement of consumption capacity of urban dwellers and the industrial structural changes. The education level of rural laborers adjusts the urbanization’s influence on the consumption capacity of residents, which further affects economic growth. Empirical evidence indicates that the educationally limited rural population negatively moderates the impact of urbanization on sustainable economic growth by restraining the consumption capacity of migrating rural labor. It is also found that in some provinces with less-qualified rural labor, such as Gansu, Yunnan and Qinghai, population urbanization has not contributed to a corresponding economic growth, indicating that these provinces may have undergone urbanization without growth. These findings suggest that basic education is critical to the growth of income and consumption capacities of rural labor when laborers are migrating to urban areas. To achieve a valid urbanization process and sustainable growth, state and local governments must improve the basic education scheme, especially the nine-year compulsory education in Chinese rural areas through public financial investment and policy support.

This study analyses domestic market integration’s (DMI’s) dynamic influence on regional economic growth in China. The authors construct a matrix of annual DMI indices for 29 provinces for 1997–2015. They calculate the reciprocal matrix and combine it with the β-convergence model and spatial econometrics to analyse the relationships between DMI and regional economic growth. Their findings indicate that the relation between these two variables is not straightforward, and 2004 was a tipping-point year. Before 2004, the statistical relationship between DMI and regional economic growth was downward sloping, which suggests a trend of divergence and negative spillover effects across the 29 provinces. After 2004, the relationship between DMI and regional economic growth becomes positive: increased DMI now is strengthening (regional) economic growth. The authors provide the possible explanations for the unstable relationship combined with China’s reality as well.