The combination of external new knowledge and organizational capability has become a cornerstone in the internationalized enterprises. Sources of knowledge acquisition are among the most valuable resources that an internationalized firm can achieve competitive advantage. This study aims to explore this phenomenon between knowledge sources and competitive advantage in the context of internationalized small and medium enterprises (SMEs) mainly by a quantitative approach. Based on contextual nature of resource–capability–competitive, absorptive capacity has long been a critical construct in organizational studies, as well as referring relational embeddedness as potential drivers of absorptive capacity, which is moderated by learning orientation. This study also investigates the mediating effect of absorptive capacity in terms of knowledge absorption and integration on international competitive advantage. To gain insights and provide essential implications for internationalized SMEs from the global economy, this study adopted purposive sampling to collect 211 valid responses. Via the partial least-squares structural modeling, the relationships among relational embeddedness, potential and realized absorptive capacity, and competitive advantage were measured. The results suggest that relational embeddedness positively influences potential and realized absorptive capacity with moderating effect of learning orientation. Potential and realized absorptive capacities have full mediating effect between relational embeddedness and competitive advantage. This study concludes insights and implications for research and practice.
Carbon peaking and carbon neutralization have become catalysts for the development of green finance in China. The possible risks of climate change are also being considered by an increasing number of financial institutions. Environmental pollution and deterioration have become the main drivers of China’s unbalanced and insufficient development in the new era. As a new financial model, green finance has attracted much attention from people and the society. Promoting and integrating this concept into economic transformation and ecological civilization strategies can guarantee China’s high-quality green development through economic ecology. This paper analyzes the relationship between the development of green finance and the development of economic ecology. The research conclusion is of great significance to speed up the construction of ecological civilization in China. Firstly, this paper analyses the spatial correlation between green finance and economic ecological development in China using the Moran’s index. Secondly, this paper constructs a spatial econometric model and performs a regression empirical analysis using the panel data of 30 provinces in China from 1999 to 2020 to understand the impact of green finance on China’s ecological development. Results show that green finance demonstrates strong spatial agglomeration and that the development of economic ecology maintains a stable spatial positive correlation. Moreover, the spatial difference in economic ecological development is more obvious than that in green finance development. The development of green finance not only has a significantly positive role in promoting the economic and ecological development of a certain province but also promotes the development of economic ecology in the surrounding provinces. The development of economic ecology itself generates a positive spatial spillover effect, that is, improving the economic ecological level of a province will also improve the corresponding level of the surrounding provinces.
The scientific and reasonable measurement of agricultural green total factor productivity is helpful to grasp the direction of rural-factor-market reform. This study constructs a Malmquist productivity index based on a non-radial and non-angular SBM directional distance function. This study calculates the agricultural green total factor productivity of 28 provinces (cities and autonomous regions) in China from 1997 to 2020 by considering unexpected outputs such as carbon emissions and agricultural non-point-source pollution. Finally, this study uses the spatial Dobbin model to explore the spatial impact of agricultural green total factor productivity under the distortion of the factor market. The results show that the agricultural green total factor productivity, considering the unexpected outputs, is more in line with the level of high-quality green development in China’s agriculture. Regardless of whether the unexpected output is included, the increase in China’s agricultural total factor productivity is primarily due to progress in agricultural technology, and the double boost is little in agricultural technology progress and technical efficiency. Agricultural green total factor productivity shows an increasing trend, but the growth rate is slow, and differences in different regions are significant. Factor market distortion negatively impacts agricultural green total factor productivity, and other factors improve the agricultural total green factor productivity. However, factor market distortion has a particular spatial spillover effect, which hinders the synchronous growth of agricultural green total factor productivity in different regions. Therefore, the government should promote the reform of the agricultural mode of production and agricultural green production, eliminate the blocking effect of factor market distortion on the improvement in agricultural green total factor productivity, narrow the regional gap of agricultural total factor productivity, and establish a policy system for high-quality green development of modern agriculture.
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