Context: Knowledge and technology in new models of agricultural development have an important place in the growth and development of sustainable agriculture, and these models are referred to as scientific agriculture, agriculture based on knowledge and technology. Considering the formation and development of knowledge-based and technology companies in the past few years, it seems that the evaluation of these companies from different dimensions, especially in terms of efficiency, can provide the necessary messages to the planners of this field to design their future path in addition to the current image of the companies, so that with more speed and achieve the goals in a better way. Considering this fact, the aim of the present study is to measure the efficiency of knowledge-based companies in the agricultural sector in Razavi Khorasan province.
Content: In this study, Data Envelopment Analysis (DEA) and Variable Return To Scale (VRS¹) model were used to calculate the efficiency of knowledge-based companies in creating employment. In this research, the envelope analysis, DEA model has been calculated in two ways, output-oriented and input-oriented, using Deep software.
Conclusion: In the data-oriented model, 63% of knowledge-based and technological companies have an efficiency between 80 and 100, so it can be concluded that knowledge-based and agricultural technology companies have performed well in terms of job creation, and the efficiency of 8% of companies is between 40 and 60.