Impact of agricultural policies: outstanding themes, thematic trends, and methodologies according to systematic review and NLP analysis

Autores/as

  • Daniela Maciel Pinto Analyst at Embrapa - Empresa Brasileira de Pesquisa Agropecuária, Departamento de Transferência de Tecnologia, PhD student in the Postgraduation Program on Science and Technology Policy (PPG-PCT), Instituto de Geociências, Universidade Estadual de Campinas, Campinas, SP.
  • Adriana Bin Professor at the Postgraduation Program on Administration and Science and Technology Policy (DPCT/IG/Unicamp), Universidade Estadual de Campinas, Faculdade de Ciências Aplicadas, Limeira, SP.

DOI:

https://doi.org/10.35977/0104-1096.cct2024.v41.27610

Palabras clave:

mission-oriented policies, agricultural sustainability, text mining, topic modeling, natural language programming

Resumen

The objective of this study was to perform a systematic review on the impact assessment of agricultural public policies, applying the natural language processing (NLP) techniques. Themes, methodologies, and conceptual trends were identified in 1043 articles. Six thematic classes stood out, as follows: public health and socioeconomic development in rural areas; technology and agricultural production; environmental conservation and ecosystem management; climate change and agricultural sustainability; research and development in sustainability policies; and water resource management and environmental impact. The trends showed a growing interest in agricultural technology, climate change, and sustainability research policies. Quantitative analyses were predominant, including statistical regression and Markov´s decision processes. The research also highlighted the presence of studies related to the Sustainable Development Goals and the COVID-19 pandemic, showing the relevance of agricultural policies in addressing global challenges. Limitations include reliance on specific databases and the inherent constraints of NLP techniques. The research suggests the need for more comparative and global studies on agricultural policies, as well as more investigation of emerging methodologies for new perspectives in this field.

Biografía del autor/a

Daniela Maciel Pinto, Analyst at Embrapa - Empresa Brasileira de Pesquisa Agropecuária, Departamento de Transferência de Tecnologia, PhD student in the Postgraduation Program on Science and Technology Policy (PPG-PCT), Instituto de Geociências, Universidade Estadual de Campinas, Campinas, SP.

 

 

 

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Publicado

2024-07-29

Cómo citar

Pinto, D. M., & Bin, A. (2024). Impact of agricultural policies: outstanding themes, thematic trends, and methodologies according to systematic review and NLP analysis. Cadernos De Ciência & Tecnologia, 41, e27610. https://doi.org/10.35977/0104-1096.cct2024.v41.27610