ABSTRACT
As the digital economy grows rapidly around the world, how would it impact carbon emissions? This paper discusses this issue from the perspective of heterogeneous innovation. Based on the panel data of 284 cities in China from 2011 to 2020, this paper empirically examines the impact of the digital economy on carbon emissions as well as the mediating and threshold effects of different innovation modes. The study finds that the digital economy can significantly reduce carbon emissions; this conclusion holds after a series of robustness tests. Independent innovation and imitative innovation are important channels through which the digital economy affects carbon emissions, but technological introduction is not an effective way. For regions with high levels of financial investment in science and innovative talents, the reduction in carbon emissions from the digital economy is more significant. Further research shows that the effect of the digital economy on carbon emissions has a threshold feature, with an inverted U-shaped relationship between the two, and that an increase in autonomous innovation and imitation innovation can enhance the digital economy's carbon reduction effect. Therefore, it is necessary to strengthen the capacity of independent innovation and imitation innovation to exploit the carbon-cutting effect of the digital economy.
Subject(s)
Carbon , Investments , China , Cities , Technology , Economic Development , Carbon DioxideABSTRACT
Technological advancements and resources availability are the main components of green total factor energy efficiency (GTFEE). This study measured GTFEE using the Meta-frontier and Non-radial Directional Distance Function (MNDDF) models and empirically evaluated the effect of technological innovation and resource endowment on GTFEE using dynamic panel and panel threshold models. The following are the primary findings: (1) Throughout the study sample period, the average change trend of China's GTFEE was generally in the shape of a "W," with regional variations. (2) Independent innovation can significantly improve GTFEE, whereas technology introduction has little effect on GTFEE advancement. Similarly, it confirmed the existence of the "Resource Curse." (3) While independent innovation has reduced the severity of the resource curse to a certain extent, the introduction of this technology has no positive effect on the resource curse problem. (4) Heterogeneity research indicates that only large cities' independent innovation has significantly increased GTFEE. There is a particular resource curse phenomenon regardless of the city size, but it is more prominent in small and medium-sized cities. (5) At various phases of economic development, a significant difference was noticed in the impact of independent innovation, technology introduction, and resource endowment on GTFEE.
Subject(s)
Financial Management , Inventions , Conservation of Energy Resources , Economic Development , Efficiency , ChinaABSTRACT
A estrutura etária do rebanho e a estratégia de descarte de matrizes são pontos importantes na avaliação da eficiência do sistema de produção de gado de corte. Neste trabalho foi monitorado o rebanho de cria, cujas matrizes eram mantidas ou descartadas com base em critério técnico, conforme a avaliação do desempenho reprodutivo. Para tanto, foi utilizada a cadeia de Markov com o objetivo de simular a probabilidade de descarte por idade, ao longo da vida, e de calcular a expectativa de vida da matriz no rebanho. Após a introdução da estação de monta, a pressão de descarte foi maior, com aumento da probabilidade de descarte e da diminuição da probabilidade de permanência da matriz no rebanho nas idades mais avançadas. Com a introdução de tecnologias e especialmente da monta controlada, o processo torna-se mais dinâmico com a identificação e descarte de novilhas e matrizes improdutivas, diminuindo a idade média das vacas no rebanho e de descarte das mesmas.
The determination of age structure in a herd and the culling strategy in dams are important points to evaluate efficiency of a beef cattle production system. A breeding herd was monitored, where cows were maintained or discard according to technical criterion. Using the Markov chain the culling probability due to age throughout the life time of the cow was simulated. Life expectancy of the dam in the herd was also calculated. After the breeding season, culling pressure was higher and culling probability increased while permanency probability in the herd for older cows decreased, this made the herd more dynamic.
