Measuring the Influence of Networks on Transaction Costs Using a Non-parametric Regression Technique
All business transactions as well as achieving innovations take up resources, subsumed under the concept of transaction costs. One of the major factors in transaction costs theory is information. Firm networks can catalyse the interpersonal information exchange and hence, increase the access to non-public information so that transaction costs are reduced. Many resources that are sacrificed for transaction costs are inputs that also enter the technical production process. As most production data do not distinguish between these two usages of inputs, high transaction costs result in reduced observed productivity. We empirically analyse the effect of networks on productivity using a cross-validated local linear non-parametric regression technique and a data set of 384 farms in Poland. Our empirical study generally supports our hypothesis that networks affect productivity. Large and dense trading networks and dense information networks and household networks have a positive impact on a farm’s productivity. A bootstrapping procedure confirms that this result is statistically significant.
|Date of creation:||May 2013|
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- Christian H.C.A. Henning & Géraldine Henningsen & Arne Henningsen, 2012.
"Networks and Transaction Costs,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 94(2), pages 377-385.
- Henning, Christian H.C.A. & Henningsen, Geraldine & Henningsen, Arne, 2011. "Networks and Transaction Costs," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114549, European Association of Agricultural Economists.
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