Impact of agricultural policies: outstanding themes, thematic trends, and methodologies according to systematic review and NLP analysis
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.
| Main Authors: | , |
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| Format: | Digital revista |
| Language: | eng |
| Published: |
Superintendência de Comunicação (Sucom), Empresa Brasileira de Pesquisa Agropecuária
2024
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| Online Access: | https://seer.sct.embrapa.br/index.php/cct/article/view/27610 |
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