Effects of public infrastructure investment on the costs and productivity of private enterprises have proven difficult to quantify empirically. One piece of this puzzle that has received little attention is spatial spillovers. We apply a cost-function model to 1982–1996 state-level U.S. manufacturing data, to untangle the private cost-saving effects of inter- and intrastate public infrastructure investment. We implement two spatial adaptations—including a spatial spillover index in the theoretical model, and allowing for spatial autocorrelation in the stochastic structure. Recognizing such spillovers both increases the estimated magnitude and significance of cost savings from intrastate public infrastructure, and augments these productive effects.

Increasing size of establishments and resulting concentration in U.S. industries may stem from various types of cost economies. In particular, scale economies arising from technological factors embodied in plant and equipment may be a driving force for such market structure changes. In this case, typical market power measures like Lerner indices can be misleading: if scale (cost) economies prevail, cost efficiencies rather than market deficiencies may actually underlie the observed patterns. In this study, I provide measures of scale economies and market power for the U.S. meat packing industry, whose increased consolidation and concentration have raised great concern in policy circles. The results suggest that this trend has been motivated by cost economies, but that little excess profitability exists, and on the margin the potential for taking further advantage of such economies has become minimal.

In this study, we consider the impacts of dramatic regulatory reform during the 1980s on the efficiency of farms in New Zealand, using unbalanced panel data. A translog distance function representing the multiple output and input technology and incorporating nonneutral regulatory impacts is used for the analysis. Determinants of technical inefficiency, including a regulatory variable, a time term, and a debt/equity ratio, are also incorporated in a one-step model estimated by maximum-likelihood, stochastic production frontier methods. We find evidence of regulatory-induced changes in output composition—toward beef and deer, and away from wool, and especially lamb—but little associated technical inefficiency. These patterns motivated investment in complementary capital, land, and beef/deer livestock inputs. Firms that were more flexible in their adaptation toward these new mixes adjusted to regulatory changes with less upheaval, so any existing inefficiency appears linked to debt/equity levels.