Suchergebnisse

AbstractChina's rapid urbanization has resulted in substantial suburbanization over recent decades. However, limited research has been conducted into how land‐based capital is mobilized, accumulated and circulated within the circuits of the capital accumulation process, or how land‐based capital is used to finance massive investment in suburbanization by China's local governments, especially since the trend in land commodification during the 2000s. We examined the capital switching experience in the city of Hangzhou and our findings indicate that local governments have attempted to simultaneously strengthen housing development and industrial growth. In contrast to experiences of suburbanization in Western countries, a real estate boom during the early days of suburbanization in Hangzhou was not necessarily the result of diversion of excess capital from over‐accumulated investments in the manufacturing industry. Rather, it was a consequence of capital accumulation facilitated by land‐reserve systems and land‐based financing of infrastructure orchestrated by local government. Local governments and their affiliated land‐reserve centers and local investment platforms have acted as entrepreneurs by using profits from suburban property development to subsidize industrial investments and fund the infrastructure‐supported expansion of outer suburbs. These findings highlight the potential risks of land‐centered accumulation and provide important reflections upon the theory of David Harvey in the context of urban China.

AbstractEvaluating the economic impacts caused by capital destruction is an effective method for disaster management and prevention, but the magnitude of the economic impact of labor disruption on an economic system remains unclear. This article emphasizes the importance of considering labor disruption when evaluating the economic impact of natural disasters. Based on the principle of disasters and resilience theory, our model integrates nonlinear recovery of labor losses and the demand of labor from outside the disaster area into the dynamic evaluation of the economic impact in the postdisaster recovery period. We exemplify this through a case study: the flood disaster that occurred in Wuhan city, China, on July 6, 2016 (the "7.6 Wuhan flood disaster"). The results indicate that (i) the indirect economic impacts of the "7.6 Wuhan flood disaster" will underestimate 15.12% if we do not consider labor disruption; (ii) the economic impact in secondary industry caused by insufficient labor forces accounts for 42.27% of its total impact, while that in the tertiary industry is 36.29%, which can cause enormous losses if both industries suffer shocks; and (iii) the agricultural sector of Wuhan city experiences an increase in output demand of 0.07% that is created by the introduction of 50,000 short‐term laborers from outside the disaster area to meet the postdisaster reconstruction need. These results provide evidence for the important role of labor disruption and prove that it is a nonnegligible component of postdisaster economic recovery and postdisaster reduction.

Abstract. The total losses caused by natural disasters have spatial heterogeneity due to the different economic development levels inside the disaster-hit areas. This paper uses scenarios of direct economic loss to introduce the sectors' losses caused by the 2008 Wenchuan earthquake (2008 WCE) in Beijing, utilizing the Adaptive Regional Input–Output (ARIO) model and the Inter-regional ripple effect (IRRE) model. The purpose is to assess the ripple effects of indirect economic loss and spatial heterogeneity of both direct and indirect economic loss at the scale of the smallest administrative divisions of China (streets, villages, and towns). The results indicate that the district of Beijing with the most severe indirect economic loss is the Chaoyang District; the finance and insurance industry (15, see Table 1) of Chaowai Street suffers the most in the Chaoyang District, which is 1.46 times that of its direct economic loss. During 2008–2014, the average annual GDP (gross domestic product) growth rate of Beijing was decreased 3.63 % by the catastrophe. Compared with the 8 % of GDP growth rate target, the decreasing GDP growth rate is a significant and noticeable economic impact, and it can be efficiently mitigated by increasing rescue effort and by supporting the industries which are located in the seriously damaged regions.