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Who we are

With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Lina Alaaeldin Abdelfattah

Lina Alaaeldin Abdelfattah is a Senior Research Associate in the Development Strategies and Governance Unit, based in Cairo. Her research interests include applied economic development, trade, and spatial economics, with a focus on topics relevant to social protection, food, nutrition, and agriculture in the Middle East and Africa. 

Where we work

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

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experts

Foresight and Policy Modeling

Liangzhi You

Senior Research Fellow

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Bio

Liangzhi You is a Senior Research Fellow and theme leader in the Foresight and Policy Modeling Unit, based in Washington, DC. His research focuses on climate resilience, spatial data and analytics, agroecosystems, and agricultural science policy. Gridded crop production data of the world (SPAM) and the agricultural technology evaluation model (DREAM) are among his research contributions. He has published more than 160 articles in  journals including Science Advances, Nature Food, PNAS, Global Change Biology, Agricultural Systems, The Economic Journal, and Agricultural Economics.

Liangzhi earned a BS in hydraulic engineering from Tsinghua University, Beijing, and an MS in environmental economics and a PhD in civil engineering from Johns Hopkins University, US.

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Publications

Resource thumbnail

Journal Article

Farmers’ willingness to pay for smart farming technologies: Evidence from a smart drip irrigation technology in North China

2024Tao, Hui; Xiong, Hang; You, Liangzhi; Li, Fan
Details

Farmers’ willingness to pay for smart farming technologies: Evidence from a smart drip irrigation technology in North China

Smart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers’ preference and willingness to pay (WTP) for a well-defined SFT, smart drip irrigation (SDI) technology.This study conducted a discrete choice experiment (DCE) among 1,300 maize farmers in North China to understand their WTP for various functions of SDI using mixed logit (MIXL) models.The results show that farmers have a strong preference for SDI in general and its specific functions of smart sensing and smart control. However, farmers do not have a preference for the function of region-level agronomic planning. Farmers’ preferences for different functions of SDI are heterogeneous. Their preference was significantly associated with their education, experience of being village cadres and using computers, household income and holding of land and machines. Further analysis show that farmers’ WTP for functions facilitated by hardware is close to the estimated prices, whereas their WTP for functions wholly or partially facilitated by software is substantially lower than the estimated prices.Findings from the empirical study lead to policy implications for enhancing the design of SFTs by integrating software and hardware and optimizing agricultural extension strategies for SFTs with digital techniques such as videos.This study provides initial insights into understanding farmers’ preferences and WTP for specific functions of SFTs with a DCE.

Year published

2024

Authors

Tao, Hui; Xiong, Hang; You, Liangzhi; Li, Fan

Citation

Tao, Hui; Xiong, Hang; You, Liangzhi; and Li, Fan. 2024. Farmers’ willingness to pay for smart farming technologies: Evidence from a smart drip irrigation technology in North China. China Agricultural Economic Review 16(1): 114-134. https://doi.org/10.1108/CAER-03-2023-0050

Country/Region

China

Keywords

Eastern Asia; Agricultural Technology; Crop Yield; Farmers; Irrigation

Language

English

Access/Licence

Limited Access

Links

https://doi.org/10.1108/caer-03-2023-0050 Source record

Project

Climate Resilience

Record type

Journal Article

Resource thumbnail

Journal Article

Spatiotemporal expansion and methane emissions of rice-crayfish farming systems in Jianghan Plain, China

2024Wei, Haodong; Cai, Zhiwen; Zhang, Xinyu; Yang, Jingya; Cao, Junjun; Meng, Ke; You, Liangzhi; Wu, Hao; Hu, Qiong
Details

Spatiotemporal expansion and methane emissions of rice-crayfish farming systems in Jianghan Plain, China

Year published

2024

Authors

Wei, Haodong; Cai, Zhiwen; Zhang, Xinyu; Yang, Jingya; Cao, Junjun; Meng, Ke; You, Liangzhi; Wu, Hao; Hu, Qiong

Citation

Wei, Haodong; Cai, Zhiwen; Zhang, Xinyu; Yang, Jingya; Cao, Junjun; Meng, Ke; You, Liangzhi; et al. 2024. Spatiotemporal expansion and methane emissions of rice-crayfish farming systems in Jianghan Plain, China. Agricultural and Forest Meteorology 347(15 March 2024): 109908. https://doi.org/10.1016/j.agrformet.2024.109908

Country/Region

China

Keywords

Eastern Asia; Methane Emission; Cultivation; Phenology; Rice

Language

English

Access/Licence

Limited Access

Links

https://doi.org/10.1016/j.agrformet.2024.109908 Source record

Project

Climate Resilience

Record type

Journal Article

Resource thumbnail

Journal Article

Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images

2024
Wang, Chufeng; Xu, Shijie; Yang, Chenghai; You, Yunhao; Zhang, Jian; Kuai, Jie; Xie, Jing; Zuo, Qingsong; Yan, Mingli; Du, Hai
…more Ma, Ni; Liu, Bin; You, Liangzhi; Wang, Tao; Wu, Hao
Details

Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images

Year published

2024

Authors

Wang, Chufeng; Xu, Shijie; Yang, Chenghai; You, Yunhao; Zhang, Jian; Kuai, Jie; Xie, Jing; Zuo, Qingsong; Yan, Mingli; Du, Hai; Ma, Ni; Liu, Bin; You, Liangzhi; Wang, Tao; Wu, Hao

Citation

Wang, Chufeng; Xu, Shijie; Yang, Chenghai; You, Yunhao; Zhang, Jian; You, Liangzhi; et al. 2024. Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images. European Journal of Agronomy 155(April 2024): 127104. https://doi.org/10.1016/j.eja.2024.127104

Country/Region

China

Keywords

South-eastern Asia; Capacity Development; Mechanical Harvesting; Crop Yield; Phenotyping; Rapeseed; Unmanned Aerial Vehicles

Language

English

Access/Licence

Limited Access

Links

https://doi.org/10.1016/j.eja.2024.127104 Source record

Project

Climate Resilience

Record type

Journal Article

Blogs

Webinar: Launching SPAM2020, the latest innovation in global crop mapping
IFPRI Blog
 | 
May 09, 2024

Webinar: Launching SPAM2020, the latest innovation in global crop mapping

By Zhe Guo, Eleanor Jones, and Liangzhi You

Tools for understanding global trends.

Using atmospheric satellite data to monitor unfolding economic impacts of conflict in Sudan
IFPRI Blog
 | 
June 28, 2023

Using atmospheric satellite data to monitor unfolding economic impacts of conflict in Sudan

By Hala Abushama, Zhe Guo, Khalid Siddig, Oliver Kirui, Kibrom Abay, and Liangzhi You

Changes in nitrogen dioxide emissions reflect migration, other changes.

Heat shocks linked to lower maize yields and reduced child height: Evidence from Tanzania
IFPRI Blog
 | 
October 05, 2021

Heat shocks linked to lower maize yields and reduced child height: Evidence from Tanzania

By Steven Block, Beliyou Haile, Liangzhi You, and Derek Headey

The first time such a connection has been established between climate change, agricultural productivity, and health.

Events

Implications of El Niño 2023/24 for Africa South of the Sahara
IFPRI Policy Seminar

 | 

November 29, 2023, 7:30 – 9:00 am

Implications of El Niño 2023/24 for Africa South of the Sahara

Virtual Event: November 29, 2023 at 7:30am-9:00am EST. IFPRI in collaboration with USAID FEWS NET and NASA’s Goddard Space Flight Center, is hosting a presentation on the potential impact of the upcoming El Niño on the global agrifood system, with special emphasis on low-income countries in Africa South of the Sahara. The event will be organized around four short talks.

Global Food Security Forum for Young Scientists
IFPRI at External Event

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December 2 to 3, 2022

Global Food Security Forum for Young Scientists

Hybrid Event: December 2, 2022 – 8:00 AM to December 3, 2022 – 6:00 PM HKT. This forum aims to bring together scientists, scholars and innovators from different subjects to discuss their research findings and exchange innovative ideas on all aspects of global food security.

2021 ReSAKSS Conference
IFPRI at External Event

 | 

November 15 to 17, 2021

2021 ReSAKSS Conference

Virtual Event: Nov 15, 2021 – 07:00 AM to Nov 17, 2021 – 10:30 AM EST. IFPRI is participating in the virtual 2021 ReSAKSS Conference. 

News

October 23, 2019 | In the News

Real-time insurance for farm credit helps Kenyans weather drought (Reuters)

Reuters reported on the  Risk-Contingent Credit (RCC), an insurance scheme that provides security for a farmer’s loan by paying it down if the harvest is damaged by extreme weather. Senior Research Fellow  Liangzhi You, a scientist with tIFPRI, which co-led and designed the RCC project explained, “If the droughts come, it takes much more resources […]

September 21, 2019 | In the News

International HE partnership cracks drought debt problem (University World News)

The University World News reported on a new credit scheme that cushions smallholder farmers in Kenya’s dryland areas from frequent droughts. IFPRI researcher, Liangzhi You, stated the new program faces some impediments. “I would say the commercial bank still needs some kind of incentives from the government to lend to poor farmers.”

September 05, 2019 | In the News

Kenyan Farmers Benefit From Insured Loans (VOA)

Voice of America (VOA) published an online feature story on a novel approach to funding small farmers called Risk Contingent Credit Scheme (RCC). Led by IFPRI’s Liangzhi You, RCC offers farmers insured loans that help them purchase farm inputs, while also cushioning them against potential losses accrued from crop failures.