This paper analyzes predictive regressions in a panel data setting. The standard …xed e¤ects estimator su¤ers from a small sample bias, which is the analogue of the Stambaugh bias in time-series predictive regressions. Monte Carlo evidence shows that the bias and resulting size distortions can be severe. A new bias-corrected estimator is proposed, which is shown to work well in …nite samples an...

This paper examines the impact of customer concentration on green innovation in Chinese listed firms between 2006 and 2018 through dynamic panel generalized method moments regressions. It is reported that major customers positively corporate innovation, indicating have more incentives to engage innovative practices maintain stable relationships with customers. In addition, positive relationship...

In promoting high-quality economic development, environmental protection has become an essential responsibility for the sustainable development of listed companies. This research constructs and measures level rural ecological environment in China based on panel data Chinese inland provinces. Further, impact size green M&A companies its moderating effect is analyzed. study uses entropy metho...

abstract: the main objective of this paper is to estimate the tourism impact on the economic growth of iranian provinces over the period of 2000-2010. for achieving this aim, the panel data approach has been used to the economic growth modeling. the empirical findings show that tourist receipts have a positive impact on the economic growth in iranian provinces. it was found that a 10 percent in...

Whether the aging of rural population will affect high-quality development China’s agriculture is an important issue facing construction characteristic modern agriculture. Using panel data from 30 provinces in China 1999 to 2020, this paper used fixed effects models and mediation for econometric regressions explore relationship between agricultural development, as well intermediate mechanisms i...