TY - JOUR
T1 - Productivity, price recovery, capacity constraints and their financial consequences
AU - Grifell-Tatjé, E.
AU - Lovell, C. A.Knox
PY - 2014/1/28
Y1 - 2014/1/28
N2 - Mining and fishing are both extractive industries, although one resource is renewable and the other is not. Miners and fishers pursue financial objectives, although their objectives may differ. In both industries financial performance is influenced by productivity and prices. Finally, in both industries capacity constraints influence financial performance, perhaps but not necessarily through their impact on productivity, and both industries encounter external as well as internal capacity constraints. In this study we develop an analytical framework that links all four phenomena. We use return on assets to measure financial performance, and our analytical framework is provided by the duPont triangle. We measure productivity change in two ways, with a theoretical technology-based index and with empirical price-based indexes. We measure price change with empirical quantity-based indexes. We measure internal capacity utilization by relating a pair of output quantity vectors representing actual output and full capacity output, and we develop physical and economic measures of internal capacity utilization. We also show how external capacity constraints can restrict the ability to reach full capacity output. The analytical framework has productivity change, price change and change in capacity utilization influencing change in return on assets. © 2013 Springer Science+Business Media New York.
AB - Mining and fishing are both extractive industries, although one resource is renewable and the other is not. Miners and fishers pursue financial objectives, although their objectives may differ. In both industries financial performance is influenced by productivity and prices. Finally, in both industries capacity constraints influence financial performance, perhaps but not necessarily through their impact on productivity, and both industries encounter external as well as internal capacity constraints. In this study we develop an analytical framework that links all four phenomena. We use return on assets to measure financial performance, and our analytical framework is provided by the duPont triangle. We measure productivity change in two ways, with a theoretical technology-based index and with empirical price-based indexes. We measure price change with empirical quantity-based indexes. We measure internal capacity utilization by relating a pair of output quantity vectors representing actual output and full capacity output, and we develop physical and economic measures of internal capacity utilization. We also show how external capacity constraints can restrict the ability to reach full capacity output. The analytical framework has productivity change, price change and change in capacity utilization influencing change in return on assets. © 2013 Springer Science+Business Media New York.
KW - Capacity constraints
KW - duPont triangle
KW - Price recovery
KW - Productivity
UR - http://www.scopus.com/inward/record.url?scp=84892866727&partnerID=8YFLogxK
U2 - 10.1007/s11123-013-0373-8
DO - 10.1007/s11123-013-0373-8
M3 - Article
SN - 0895-562X
VL - 41
SP - 3
EP - 17
JO - Journal of Productivity Analysis
JF - Journal of Productivity Analysis
IS - 1
ER -