Local Food Systems; Concepts, Impacts, and Issues
Local Food Systems; Concepts, Impacts, and Issues

Author: Steve Martinez

Publisher: DIANE Publishing

Published: 2010-11

Total Pages: 87

ISBN-13: 1437933629

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This comprehensive overview of local food systems explores alternative definitions of local food, estimates market size and reach, describes the characteristics of local consumers and producers, and examines early indications of the economic and health impacts of local food systems. Defining ¿local¿ based on marketing arrangements, such as farmers selling directly to consumers at regional farmers¿ markets or to schools, is well recognized. Statistics suggest that local food markets account for a small, but growing, share of U.S. agricultural production. For smaller farms, direct marketing to consumers accounts for a higher percentage of their sales than for larger farms. Charts and tables.

Farming Systems and Poverty
Farming Systems and Poverty

Author: John A. Dixon

Publisher: Food & Agriculture Org.

Published: 2001

Total Pages: 424

ISBN-13: 9789251046272

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A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.

Agricultural Value Chain Finance
Agricultural Value Chain Finance

Author: Calvin Miller

Publisher: Practical Action Publishing

Published: 2010

Total Pages: 0

ISBN-13: 9781853397028

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`This is a "must read" for anyone interested in value chain finance.---Kenneth Shwedel, Agricultural Economist --Book Jacket.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author: El Bachir Boukherouaa

Publisher: International Monetary Fund

Published: 2021-10-22

Total Pages: 35

ISBN-13: 1589063953

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This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.