Generalized Method News Today

Energy demand and supply shortages are major energy policy concerns for energy security and growth of developing economies. This study, therefore, examines the energy security and economic growth nexus of 14 non-OECD Asia countries (located in the SAARC and ASEAN regions) for the period 1996 to 2019. We estimate five different energy security measures for non-renewable energy sources to empirically investigate this nexus. These energy security measures focus on the energy availability, developab...

The reduction of economic inequality in the world may aggravate environmental problems and accelerate the processes of global climate change, believe the UrFU economists with colleagues from other universities. Scientists assure that the growth of th

The concerns about the contradiction between agricultural production and Agricultural Non-Point (ANPS) pollution has become increased with economic development in China. Government interventions are key to controlling ANPS pollution through the establishment of laws and policies. This paper uses the entropy method to calculate the emissions amount of ANPS pollution and policy strength of 31 provinces from 2010 to 2019 in China. The dynamic panel data model with system generalized moment is used ...

This study is inspired by the motivation to investigate the theoretical relevance of dividend policy, firm size and share price of top businesses at Bursa Malaysia. Within the bird-in-hand theory on dividend and market share profitability hypothesis, this research adopts the Generalized Method of Moments (GMM) as an estimating model exploiting yearly data from 2015 through 2020. The empirical results from GMM clearly show that dividend per share (DPS) and size (as proxied by sales) do influence ...

A substantial proportion of the adult US population with type 2 diabetes (T2D) are undiagnosed, calling into question the comprehensiveness of current screening practices, which primarily rely on age, family history, and body mass index (BMI). We hypothesized that a polygenic score (PGS) may serve as a complementary tool to identify high-risk individuals. The T2D PGS maintained predictive utility after adjusting for family history and combining genetics with family history led to even more impro...