@article{Arnade:156761,
      recid = {156761},
      author = {Arnade, Carlos Anthony},
      title = {Using Data Envelopment Analysis to Measure International  Agricultural Efficiency and Productivity},
      address = {1994-02},
      number = {1488-2016-123352},
      series = {Technical Bulletin},
      pages = {38},
      year = {1994},
      abstract = {Numerous methods for measuring multifactor productivity  have been used by economists. This report uses a recently  developed approach, data envlopment analysis, to measure  productivity. This method can be used not only to calculate  productivity but also to divide productivity measures into  indices that measure technical efficiency and technical  change. Technical efficiency measures the efficiency with  which resources are used. Technical change measures changes  in output arising from improved technology. In this report,  relative efficiency measures and multifactor productivity  measures are calculated for the agricultural sectors of 77  countries. Analysis shows that multifactor productivity of  the agricultural sector has risen in most developed  countries and fallen in many developing countries over the  past two decades. Adoption of input-intensive technology by  developing countries may have offset productivity gains  from improved yields and imporved labor productivity,},
      url = {http://ageconsearch.umn.edu/record/156761},
      doi = {https://doi.org/10.22004/ag.econ.156761},
}