The objective of our study is to identify pattern and causes of households' transitions in and out of poverty using the long household panel data on rural China in the period 1989-2009. We propose a discrete-time multi-spell duration model that not only corrects for correlated unobserved...

This article uses a discrete-time multivariate duration model to study poverty transition in rural China between 1989 and 2006. The analysis identifies nonlinear negative duration-dependence for both exit and re-entry rates of poverty. There is significant difference in hazard rates of exit and...

This paper employs the structural vector autoregressions framework and the generalized impulse response function to study the long-term dynamic relation between China's energy consumption and sustainable economic growth. In addition to the conventional economic indicators (GDP growth rates),...

This paper employs a spatial dynamic panel model to forecast China's energy consumption in 2011–2020. We find that energy consumption would continue to increase at least till 2020, with annual growth rates of 10% in 2011–2015 and 6% in 2016–2020. A higher proportion of service sectors in...

The objective of our study is to identify patterns and causes of households' transitions in and out of poverty using the long household panel data on rural China in the period 1989-2009. We propose a discrete-time multi-spell duration model that not only corrects for correlated unobserved...

Abstract This paper assesses causal effects of formal microcredit on children’s educational outcomes by using household panel data (2000 and 2004) in a poor province of northwest rural China. The unobservables between borrowers and non-borrowers are controlled in static and dynamic...

We systematically examine the acute impact of exposure to a public health crisis on multiple dimensions of economic decision making and social preferences using unique experimental panel data collected just before and immediately after the outbreak of COVID-19 in China. Exploiting the...