Remanufacturing has emerged as a competitive strategy for manufacturers to tackle environmental and economic challenges. In this paper, an integrated fuzzy approach is developed for the evaluation of remanufacturing alternatives. Then, importance weights of main remanufacturing processes and...

We investigate the role of factor-priced-induced innovation in mediating the employment impact of expanding production in China. Our empirical approach implements concepts developed in Acemoglu (2010) and complements the approaches summarized by Wei, Xie, and Zhang (2017) that focus on directly...

We examine the mechanism by which human capital affects economic growth and convergence, using provincial level panel data from China. We specify alternative measures of human capital and apply them to an enhanced growth model which we estimate parametrically, nonparametrically, and with a...

We estimate selection and sorting effects on the evolution of the private return to schooling for college graduates during China?s between 1988 and 2002. We pay special attention to the changing role of sorting by ability versus budget-constraint effects as China?s education policy has changed...

We apply a semi-parametric latent variable model to estimate selection and sorting effects on the evolution of private returns to schooling for college graduates during China's reform between 1988 and 2002. We find that there were substantial sorting gains under the traditional system, but they...

We explore the pace of increase in returns to schooling during the transition from planning to market over time across a number of Central and Eastern European countries, Russia, and China. We use metadata from 33 studies of 10 transition economies covering a period from 1975 through 2002. Our...

We investigate the effect of rising labor costs on induced technological change in China's secondary industry. While previous studies have focused primarily on induced technology change in agriculture and in energy production/environmental protection, there has been little evidence relating to...

We propose a new model in a Bayesian hierarchical framework to project mortality at both national and subnational levels based on sparse or missing data. The new model, which has a country-region-province structure, uses common factors to pool information at the national level and within regions...