Search

Many regions or countries seek to transition to a low-carbon economy, but there is ambiguity about how carbon emissions change with economic growth. This paper captures characteristics of carbon emissions in China using the Tapio Method. To detect driving factors of carbon emissions in economic growth, we adopt the Log-Mean Divisia Index decomposition method. The results of the paper are as follows: (1) Economic growth in most regions of China has outpaced the growth rate of carbon emissions, showing the characteristics of decoupling. (2) Metropolitan cities have a greater impact on the level of decoupling in neighboring provinces and municipalities. (3) The decoupling of carbon emissions from economic growth is caused by declining energy intensity in China. (4) The energy mix and industrial structure have little impact on the growth rate of carbon emissions. In addition, some policy implications are summarized according to the findings of this paper. [ABSTRACT FROM AUTHOR]

This paper investigates a pathway for transforming small and medium enterprise-based industrial districts to eco-industrial development in newly industrialised countries. Our framework conceptualises the eco-transformation of industrial districts as a reassembling process of local-regional industrial networks toward sustainability from an 'arenas of development' perspective, highlighting how an emerging eco-transformation arena may challenge existing unsustainable industrial networks. We employ a case-study method to illuminate how such an eco-transformation arena has emerged in Shunde District in Southern China and evolved in the dimensions of continuity, scale and depth of transformation. The results show the pathway is driven by national policy intervention and local government responses. The subsequent development is likely to shift into a fluid, non-linear process unfolded through the continuing interaction of agenda setting, actors and their relationships, strategies and actions performed, translation projects and spaces of negotiation (i.e. the arena's five components) while being influenced by context and place-specificity. [ABSTRACT FROM AUTHOR]

It has become a new trend for the future development of Chinese agriculture to accelerate the transformation from increasing production to improving quality and realizing green growth. This paper uses the sequential DEA to measure the agricultural green total factor productivity (GTFP) of 306 Chinese cities from 1996 to 2017, then tests its convergence. The results show that the average growth rate of Chinese agricultural GTFP is 0.58%; the main driving force coming from technical progress. The convergence of agricultural GTFP has dual characteristics of stages and regions, and the significant σ convergence only exists in the central region during 1996–2003. There is significant β convergence at the national level, in the eastern and central regions, and neither convergence nor divergence in the western region. However, during 2004–2017, only the eastern region had β convergence. Finally, the conditional convergence speed is higher than the absolute convergence, and the eastern region is higher than the central. [ABSTRACT FROM AUTHOR]