Narrow Results

There needs to be more empirical research quantifying the relationship between the growth of green finance (GF) and green productivity. This study investigates this connection by analyzing data from 30 regions in China from 2006 to 2022. We utilize a comprehensive GF growth index to assess the impact. The results reveal a substantial increase in green manufacturing in response to more excellent green financing, fostering environmental sustainability. Both GF and total factor production exhibit upward trajectories, indicating the effectiveness and productivity of green financial initiatives. Furthermore, regression analysis demonstrates a significant positive effect of increased green financing on output. This effect is expected to be more pronounced in regions with more robust economic and social conditions, lower public interest in environmental preservation and higher pollution levels. Our findings suggest that implementing GF policies further enhances the positive effects of expanding green financing. This research has important implications for China’s environmental protection and green financing efforts, serving as valuable insights for environmental analysts, policymakers, local governments, financial institutions and legislators involved in GF policy implementation.

This paper examines the effects of market demand, labor productivity, socio-economic development and provision of industrial estates on foreign direct investment (FDI) across 13 states and 1 federal territory in Malaysia. The analysis uses FDI data of the manufacturing sector and data on independent variables for the years 1990, 1995, 2000 and 2005. Results indicate positive relationships between these factors and FDI inflows in the manufacturing sector. FDI inflows are found to be most sensitive to labor productivity and GDP. The significance of socio-economic development for FDI is viewed in a long-term perspective.

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.

This study examines the impact of entrepreneurship on economic growth by using a new variable based on patent data to proxy for productive entrepreneurship. Data on self-employment is used as an alternative proxy. The study considers 22 OECD countries and finds a positive relationship between the proposed measure of productive entrepreneurship — degree of innovativeness of different nations — and economic growth, while the alternative measure, based on self-employment, appears to be negatively correlated with economic growth. A battery of econometric specifications and techniques backs the findings.

In this paper, we empirically explain how scientific knowledge assimilated from academia affects corporate performance, particularly in the pharmaceutical industry of Japan. We use balanced panel data on 46 pharmaceutical firms in Japan for the period 1992–2005. Then, we introduce a new concept, propensity to capture basic research (PCBR), to index how much scientific knowledge firms have assimilated from universities and public research institutes. We use this index to verify whether absorption of such knowledge influences corporate performance. According to econometric analysis, PCBR is positively significant for patent applications and patent efficiency but not for number of approved drugs. This obviously implies that scientific knowledge assimilated from academia is effective for technological performance in firms. Moreover, the results suggest how R&D is structured in the organizational setup of Japanese pharmaceutical firms.