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We analyze how the mergers and acquisitions (M&As) and greenfield foreign direct investment (GFDI) outflows impact the host countries' air pollution at the sectoral level. Following the recent advent of multinationals from emerging economies, we examine outflows rather than inflows. Evidence indicates that there are important distinctive effects of FDI mode of exit. GFDI outflows benefit the environment in the full sample and developing countries, supporting the reverse-pollution haven hypothesis, and at the industry level in the electrical power industry and building. The positive impact of M&A outflows on the environment is revealed only when data is disaggregated further into the industry level in the transport industry of developed economies and the electrical power industry of developing countries. We find that heterogeneities caused by countries' development levels and the FDI's two exit modes, M&As deteriorate the environment less than GFDI. [ABSTRACT FROM AUTHOR]

This study investigates the relationship between knowledge sharing and innovation performance. Quantitative survey using cross-sectional sampling was used. Sample included 355 different staff members. A questionnaire that was self-administered and was based on previously used metrics was chosen. The percentage of those that responded was 73.9%. A statistical method known as partial least squares structural equation modelling was used in order to examine and evaluate hypotheses that were proposed. The software program SPSS and Smart PLS were used in order to do the analysis on the data that were obtained. Findings reveal that knowledge sharing has a significant effect on innovation performance. In addition to this, data demonstrated a favorable and substantial association between the sharing of knowledge and innovation of both products and processes. The findings of research have significant implications for further developing and enhancing the relation between knowledge sharing and innovative performance. [ABSTRACT FROM AUTHOR]