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   https://doi.org/10.1146/annurev-resource-101323-094349  

   Fuglie, Keith O; Hertel, Thomas W; Lobell, David B; Villoria, Nelson B (October 2024, Annual Review of Resource Economics)

   Agriculture will play a central role in meeting greenhouse gas (GHG) emission targets, as the sector currently contributes ∼22% of global emissions. Because emissions are directly tied to resources employed in farm production, such as land, fertilizer, and ruminant animals, the productivity of input use tends to be inversely related to emissions intensity. We review evidence on how productivity gains in agriculture have contributed to historical changes in emissions, how they affect land use emissions both locally and globally, and how investments in research and development (R&D) affect productivity and therefore emissions. The world average agricultural emissions intensity fell by more than half since 1990, with a strong correlation between a region's agricultural productivity growth and reduction in emissions intensity. Additional investment in agricultural R&D offers an opportunity for cost-effective ( 

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2. Intangible capital and measured productivity

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   McGrattan, Ellen R. (August 2020, Review of Economic Dynamics)
3. Inventories, Integration, Productivity, and Welfare

   https://doi.org/10.1257/pandp.20251088  

   Alessandria, George; Khan, Shafaat Yar; Khederlarian, Armen (May 2025, AEA Papers and Proceedings)

   We augment a heterogeneous firm trade model with rich logistic frictions--order costs and delivery times--that differ by source and tariffs to evaluate how trade influences the aggregate economy. These frictions lead importers to order larger amounts less frequently, resulting in an importer inventory premium. As trade barriers fall, firms import more frequently, leading to lower inventories and more efficient distribution, releasing resources for consumption. With inventories, the gains from trade are larger. However, these long-run differences are small compared to the transition around a possible tariff increase, as firms stockpile in advance of a possible tariff increase. 

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4. Understanding personal productivity: How knowledge workers define, evaluate, and reflect on their productivity.

   https://doi.org/https://doi.org/10.1145/3290605.3300845  

   Kim, Y.H.; Choe, E.K.; Lee, B.; Seo, J. (May 2019, Human factors in computing systems)

   Productivity tracking tools often determine productivity based on the time interacting with work-related applications. To deconstruct productivity’s diverse and nebulous nature, we investigate how knowledge workers conceptualize personal productivity and delimit productive tasks in both work and non-work contexts. We report a 2-week diary study followed by a semi-structured interview with 24 knowledge workers. Participants captured productive activities and provided the rationale for why the activities were assessed to be productive. They reported a wide range of productive activities beyond typical desk-bound work—ranging from having a personal conversation with dad to getting a haircut. We found six themes that characterize the productivity assessment—work product, time management, worker’s state, attitude toward work, impact & benefit, and compound task—and identified how participants interleaved multiple facets when assessing their productivity. We discuss how these findings could inform the design of a comprehensive productivity tracking system that covers a wide range of productive activities. 

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5. Ocean productivity from space: Commentary: Ocean Productivity From Space

   https://doi.org/10.1002/2016GB005582  

   Kahru, Mati (January 2017, Global Biogeochemical Cycles)