Most scholars use TFP to measure economic development, which does not consider the impact of factors such as energy and environment
Research gap analysis derived from 3 economics papers in our local library.
The gap
Most scholars use TFP to measure economic development, which does not consider the impact of factors such as energy and environment. The measurement of GTFP includes the aforementioned variables, which is consistent with current economic development concepts. There is a need to explore the causal effect of artificial intelligence on green total factor productivity.
Evidence profile
Sourced from the stated research gap and inline gaps of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 78 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Effect of Artificial Intelligence on Chinese Urban Green Total Factor Productivity (2025) · Land · cited 7× · doi
Most scholars use TFP to measure economic development, which does not consider the impact of factors such as energy and environment. The measurement of GTFP includes the aforementioned variables, which is consistent with current economic development concepts. There is a need to explore the causal effect of artificial intelligence on green total factor productivity.
generalstated research gapKeywords: scholars use tfp measure economic development does consider - Artificial intelligence and the sustainable development of agricultural enterprises: a total factor productivity perspective (2026) · Frontiers in Sustainable Food Systems · cited 4× · doi
The study identifies a gap in understanding the impact of artificial intelligence on total factor productivity in agricultural enterprises. The study notes that prior work has not systematically clarified the impact of artificial intelligence on agricultural total factor productivity. The study aims to address this gap by constructing a theoretical framework and examining the transmission mechanisms of AI adoption on TFP growth.
generalstated research gapevidence 5/5Keywords: study identifies gap understanding impact artificial intelligence total - A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries (2024) · Agriculture · cited 67× · doi
Future research should explore the enduring implications of digital technology integration in agriculture, considering socioeconomic and agricultural contexts. Agriculture 2024, 14, 519 20 of 24 Also, the analysis primarily focused on overall indicators of digital technology use due to the lack of data for the considered technologies—AI, CC, BD, R, and IoT used in agriculture across EU countries.
generalinline gapsevidence 5/5Keywords: agriculture digital technology future explore enduring implications integration considering socioeconomic agricultural contexts primarily focused overall
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