Making Time for Agricultural and Life Science Research: Technical Change and Productivity Gains

Prager, Daniel; Foltz, Jeremy D.; Barham, Bradford L.

doi:10.1093/ajae/aau089

Cited by 9 publications

(4 citation statements)

References 30 publications

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“…Similarly, the relationship between the proportion of funding from industry and the volume of research was found to be negative (Hottenrott and Thorwarth, 2011) or inverted U-shaped (Banal-Estanol et al, 2015). Finally, Ayoubi et al (2019) found that applying for funding delivered the increased volume of research, but in the study by Prager et al (2015), the more time researchers spent on grant applications, the lower was their volume of research.…”

Section: Construct Claritythe Multiple Meanings Of "Research Producti...mentioning

confidence: 93%

Managing individual research productivity in academic organizations: A review of the evidence and a path forward

Ryazanova

Jaškienė

2022

Research Policy

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Section: Construct Claritythe Multiple Meanings Of "Research Producti...mentioning

confidence: 93%

Managing individual research productivity in academic organizations: A review of the evidence and a path forward

Ryazanova

Jaškienė

2022

Research Policy

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“…Four models were made according to the data for the four years from 2012 to 2015. In earlier scientific investigations, capital and labour costs were considered factors that impacted agricultural production volumes [8][9][10][11].…”

Section: Literature Reviewmentioning

confidence: 99%

The economics of digital tools in Kazakh agriculture

Ryskeldi,

Shelomentseva,

Mirkovic

2024

ijirss

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The agricultural sector in Kazakhstan represents only 5.4% of the total Gross Domestic Product and consists of livestock and crop production. The agricultural industry's potential production is limited by outdated technology, inefficient work practices and a lack of digitization which accounts for a small portion of the economy's overall value. Modernising agricultural output and making investments profitable represent some of the crucial challenges. However, in this field, limited research has been done. There are no studies investigating the profitability and return on investment of digitalization. Therefore, this paper investigates six digital technologies and their economic effects: health management in beef production, dairy cow movement tracking, drone counting systems, crop parallel driving systems, telematics and soil moisture monitoring. The data for this paper are from our own field studies of more than 138 farms in various regions of Kazakhstan. The extracted data includes the type of technology, equipment, cost and added profit of the farm. The investment performance indicators (IPI) were evaluated based on this data. Studies reveal that the use of technology demonstrates the financial viability of the digitalization of agriculture. The IPI of different technologies provides important information and data for farmers when making decisions about increasing the scope of digitization. Furthermore, the findings provide valuable understanding of the agricultural output in the area and serve as a solid foundation for the Kazakhstani government to establish forthcoming policies.

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“…Capital and labor costs were used as factors influencing agricultural production volumes in most previously performed scientific studies (Czyzewski and Majchrzak, 2017;Prager et al, 2015;Nowak et al, 2015;Rezitis and Kalantzi, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Production Functions for Assessing the Volumes of Agricultural Production in the Regions of Russia

Pinkovetskaia¹,

Arbeláez-Campillo²,

Rojas-Bahamón³

2022

MNJE

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The study was based on the development of production functions that characterize the activities of agricultural enterprises in the regions of Russia. Official statistical information on 65 regions of Russia for 2017 and 2018 was used. The conducted research made it possible to identify factors (investments in fixed assets and wages of employees) that affect the volume of production in the agricultural sector in the regions of Russia and suggest using two-factor production functions of high quality to describe this influence. It is proved that the economy of the country's regions has not reached saturation with agricultural products and there are significant reserves for further development of this sector. The developed production functions are effective management tools that allow assessing the level of use of financial and labor resources. The acquired new knowledge and tools for assessing the activities of agriculture in the Russian regions are of scientific and practical importance. They can be used in research of the agricultural sector of the economy, monitoring of production volumes, in determining the needs for resources necessary for the development of agriculture, substantiating plans and programs for its development.

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Making Time for Agricultural and Life Science Research: Technical Change and Productivity Gains

Cited by 9 publications

References 30 publications

Managing individual research productivity in academic organizations: A review of the evidence and a path forward

Managing individual research productivity in academic organizations: A review of the evidence and a path forward

The economics of digital tools in Kazakh agriculture

Production Functions for Assessing the Volumes of Agricultural Production in the Regions of Russia

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