In this study, we proposed a general pruning procedure to reduce the dimension of a large database so that the properties of the extracted subset can be well defined. Since learning functions have been widely applied, we take this group of functions as an example to demonstrate the proposed...

In this paper we seek to identify different driving forces behind the fall in LNG liquefaction unit costs. Our focus is on organizational learning including process specific R&D, but we also seek to account for autonomous technological change, scale effects and the effects of upstream...

The substitution of noncash (check, giro, and credit and debit card) payments for cash transactions is difficult to gauge because there are no data series on the actual value or volume of cash transactions in any country. However, determining the degree of cash substitution is important because...

This paper examines the electronification of noncash payments in Finland and the extent to which noncash payment means are used as substitutes for cash. We model the processes of cash substitution and electronification of payments as 'S'-shaped learning curves and generate forecasts by...

This paper reviews the theoretical and empirical literature on learning by doing. Many of the distinctive theoretical implications of learning by doing have been derived under the assumption that the cost-quantity relationships observed in numerous empirical studies are largely the result of...

This paper presents a comparative analysis of energy technology learning and progress within the framework of Schumpeter’s invention-innovation-diffusion paradigm. We estimate learning by doing and research rates for a range of energy technologies in four stages of technical progress. Emerging...