NEPAL
IFPRI Publications on Nepal
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Language
Banerjee, Archis; Kumar, Neha; Quisumbing, Agnes R.. 2024
IFPRI. 2024
Singh, Tushar; Kishore, Avinash; Alvi, Muzna. 2024
Verger, Eric O.; Eymard-Duvernay, Sabrina; Bahya-Batinda, Dang; Hanley-Cook, Giles T.; Argaw, Alemayehu; Becquey, Elodie; Diop, Loty; Gelli, Aulo; Harris-Fry, Helen; Kachwaha, Shivani; Kim, Sunny S.; Nguyen, Phuong Hong; Saville, Naomi M.; Tran, Lan Mai; Zagré, Rock R.; Landais, Edwige; Savy, Mathilde; Martin-Prevel, Yves; Lachat, Carl. 2024
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra. 2024
International Food Policy Research Institute. 2024
Singh, Tushar; Kishore, Avinash; Alvi, Muzna. Washington, DC 2023
Manohar, Swetha; Colantuoni, Elizabeth; Thorne-Lyman, Andrew Lucian; Shrestha, Binod; Adhikari, Ramesh Kant; KC, Angela; Bhattarai, Abhigyna; West Jr., Keith Parker
. 2023
An annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers.
Design:
The WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < –2.
Setting:
Use of the reference was illustrated with data from Nepal’s Tarai region.
Participants:
Children contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016.
Results:
Fitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6–11 and 12–23 months of age, and ∼6 % of children 24–59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers.
Conclusions:
A LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.
Dorosh, Paul A.; Diao, Xinshen; Thurlow, James; Koirala, Pankaj; Timsina, Krishna; Krupnik, Timothy J.. Kathmandu, Nepal 2023
Kosec, Katrina; Mo, Cecilia Hyunjung; You, Soosun; Boittin, Margaret. Washington, DC 2023
Pradhan, Mamata; Palikhe, Aruna; Maharajan, Nanda; Adhikari, Madan; Pandey, Meena; Gupta, Shalini; Mohan, Anisha. New Delhi, India 2023
However, the Coronavirus disease 2019 (COVID-19) pandemic, climate change, and international conflicts have significantly hampered the achievement of Sustainable Development Goals (SDGs). As a result, the USG has developed the Global Food Security Strategy Refresh (GFSS-R) 2022–2026 that emphasizes the following five new areas of focus:
1. Equity and inclusion
2. An ambitious approach to climate change
3. Countering the long-term impacts of COVID-19
4. Employing systems thinking and working across the food system
5. Integration of conflict management, peacebuilding, and social cohesion
This strategy refresh has significant implications for the Feed the Future initiative; therefore, all Feed the Future countries have now embarked on refreshing the country strategy to incorporate new programs and initiatives aligning with the GFSS-R. The strategy involves implementing a multi-faceted whole-of-government approach, assignment of ownership, and empowerment of country leadership to lead and guide the efforts for progress. The strategy refresh invokes partnership with a wide range of stakeholders, and harnesses the advancement of science, technology, and innovation to achieve these objectives. The Feed the Future interventions in Nepal ensured a very close partnership with the Government of Nepal and emphasized greater involvement of the private sector. Nepal is one of the oldest and most successful Feed the Future countries. Although efforts have been made to ensure food security in Nepal, the country still faces nutritional deficiency. Agricultural productivity in Nepal is comparatively low, and most of the farmers are still engaged in subsistence farming. Further, Nepal is highly vulnerable to climate change, natural disasters, pests, and diseases, exacerbating food insecurity leading to the prevalence of nutrition deficiencies, especially among marginalized populations who rely heavily on agriculture for their livelihoods. The USAID mission in Nepal commissioned the IFPRI to support the drafting of the new GFSS Nepal Country Plan. In this regard, provincial consultation workshop has been planned in collaboration with IIDS to generate constructive ideas and feedback on the past and existing interventions implemented in Nepal under Feed the Future and identify a way forward for strengthening and leveraging food and agriculture system transformation in Nepal.
Onta, Karuna; Pradhan, Mamata; Palikhe, Aruna; Maharjan, Nada; Mohan, Anisha. New Delhi, India 2023
Heckert, Jessica; Raghunathan, Kalyani; Myers, Emily; Ramani, Gayathri V.; Faas, Simone; Ferguson, Nathaniel; Seymour, Greg; Malapit, Hazel J.; Paz, Flor; Chiwasa, Febbie; Chilalika, Joan; Kamwaba-Mtethiwa, Jean; Chirwa, Gowokani Chijere; Simkoko, Abigail; Chilungo, Abdallah; Upadhyaya, Rachana; Pradhan, Meeta S.; Joshi, Nira; Shrestha, Sanish. Washington, DC 2023
Lefore, Nicole; Ringler, Claudia . 2023
The research program’s five areas of inquiry will develop socio-technical bundles that support uptake of mechanization and irrigation, strengthen institutions for natural resource governance and climate resilience, enable scaling of suitable technologies and support development of human resources. The fifth area of inquiry makes a leap from technology to nutrition and health, with the specific aim to “formulate strategies for nutrition-sensitive mechanization and irrigation that safeguard and enhance health and inclusivity.”
Alvi, Muzna; Barooah, Prapti; Gupta, Shweta; Saini, Smriti. Washington, DC 2023
Kamar, Abul; Roy, Devesh; Pradhan, Mamata; Saroj, Sunil. Washington, DC 2023
Trade moves food from surplus to deficit regions and hence is crucial for maintaining a stable food supply. Historically, the global supply of cereals has been stable (Bradford et al. 2022); this implies that trade (or the lack of it) can be directly mapped onto area-specific food insecurity. At the same time, shocks leading to trade disruption can pose serious challenges, particularly for countries with high import penetration in food.
Cooper, Bethany; Crase, Lin; Burton, Michael; Rigby, Dan; Alam, Mohammad Jahangir; Kishore, Avinash . 2023
Neupane, Sumanta; Jangid, Manita; Scott, Samuel P.; Kim, Sunny S.; Murira, Zivai; Heidkamp, Rebecca; Carducci, Bianca; Menon, Purnima. 2024
Takeshima, Hiroyuki. Article in press
Xinshen Diao; Ellis, Mia; Fang, Peixun; Pauw, Karl; Pradesha, Angga; Thurlow, James. Washington, DC 2023
Kyle, Jordan; Resnick, Danielle. 2023
Kyle, Jordan; Resnick, Danielle. 2023
Neupane, Sumanta; Scott, Samuel; Piwoz, Ellen; Kim, Sunny S.; Menon, Purnima; Nguyen, Phuong Hong. 2023
Quisumbing, Agnes; Gerli, Beatrice; Faas, Simone; Heckert, Jessica; Malapit, Hazel; McCarron, Catherine; Meinzen-Dick, Ruth; Paz, Florencia. 2023
Owais, Aatekah; Rizvi, Arjumand; Jawwad, Muhammad; Horton, Susan; Das, Jai K.; Merritt, Catherine; Moreno, Ralfh; Asfaw, Atnafu G.; Rutter, Paul; Nguyen, Phuong Hong; Menon, Purnima; Bhutta, Zulfiqar A.. 2023
International Food Policy Research Institute (IFPRI). Washington, DC 2023
Saroj, Sunil; Roy, Devesh; Kamar, Abul; Pradhan, Mamata. Washington, DC 2023
The innovations in international trade literature that explains both the emergence as well as levels and the nature of trade flows through value chain integration necessitates examining trade-based exchanges at the highest possible levels of product disaggregation. Developments in trade theory emphasize that it is individual firms not countries that trade and analysis needs to incorporate firm characteristics in decisions and ability for exporting and importing. Firms are the appropriate unit of analysis for trade flows. It helps several paradoxes once the import of firm heterogeneity is understood.
Despite the substantive importance of granular level data and the significant level of disaggregated product-level bilateral trade flow data and enhanced computing power that are becoming available, most studies have tended to rely on analysis with high level of aggregation. Recent research on firm heterogeneity in international trade highlights the importance of extensive margins i.e., new products, new partners, new varieties, and cumulative of these i.e., new prices in trade patterns and firms' responses to trade liberalization and other policy changes. However, the high dimensionality of the data and the large number of responses to changes can easily overwhelm researchers. Additionally, bigger data sets may contain more noise, which can mask important systematic patterns. In analysis of trade flows, notwithstanding the rising incidence of differentiated products (varieties) and value chains that transcend national boundaries, methods in agri-food trade analysis in particular have not kept pace in terms of empirical methods and suitable data.
Dorosh, Paul A.; Pauw, Karl; Pradesha, Angga; Thurlow, James. 2023
Kamar, Abul; Roy, Devesh. Washington, DC 2023
in intra-regional trade among BIMSTEC member countries. Importantly the low share of intra BIMSTEC trade is not due to greater integration with supra-BIMSTEC partners. This policy note seeks to spell out some of the key agricultural trade policy-related challenges in the BIMSTEC region and their implications for economic integration in the area.
Smith, Lisa C.; Byron, Elizabeth. Washington, DC 2005
Gupta, Manavi; Kishore, Avinash; Scott, Samuel; Chakraborty, Shreya; Chellattan, Prakashan Veettil; Choudhury, Samira; Krupnik, Timothy; Kumar, Neha; Neupane, Sumanta; Patwardhan, Sharvari; Sununtnasuk, Celeste; Urfels, Anton; Menon, Purnima. Washington, DC 2022
TAFSSA (Transforming Agrifood Systems in South Asia), a CGIAR Regional Integrated Initiative, aims to address these challenges by delivering actionable evidence and scalable innovations across these regions through a coordinated program of research and engagement from farmer to consumer.
One of the roadblocks to addressing these challenges is the lack of credible and high-resolution data on food systems in the region. The TAFSSA food systems assessment aims to provide a reliable, accessible and integrated evidence base that links farm production, market access, dietary patterns, climate risk responses, and natural resource management in Bangladesh, India, Nepal and Pakistan. It is intended to be a multi-year assessment.
Scott, Samuel; Neupane, Sumanta; Menon, Purnima; Kishore, Avinash; Krupnik, Timothy. Washington, DC 2022
This research note presents findings on the availability of diet-related data in publiclyavailable population-based surveys conducted in Bangladesh, India, Nepal, and Pakistan in the last decade. It is intended to be used by researchers and policymakers to understand the data landscape and identify measurement priorities for future surveys.
KEY FINDINGS
• Data on diets for older children and adolescents are captured less frequently than
for younger children and women of reproductive age.
• Data are mostly available on food group consumption and for infants and young
children; data on consumption of unhealthy foods is poor.
• Few surveys capture quantity of foods consumed; estimating nutrient intake from
population-based surveys is therefore not possible.
• Only Bangladesh currently has large-scale publicly available and repeated rounds of
data on dietary intakes for multiple age groups.
• Dietary data are essential to shape public policy on nutrition; financial and technical
investments are needed to scale up data availability in South Asia.
Smith, Matthew; Mueller, Nathaniel D.; Springmann, Marco; Sulser, Timothy B.; Garibaldi, Lucas A.; Gerber, James; Wiebe, Keith D.; Myers, Samuel S.. 2022
Meinzen-Dick, Ruth Suseela; Pradhan, Prachanda; Zhang, Wei. 2022
Suhardiman, Diana; Raut, Manita; Pradhan, Prachanda; Meinzen-Dick, Ruth Suseela. 2023
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra; Shrestha, Bhola. 2023
Methods: A planned nutrition intervention could not be implemented due to Covid restrictions. However, three surveys (pre-Covid [December 2019], July 2021, and September 2021) in 280 Nepali households (309 parent-dyads, 368 children, 6-66 months old) collected demographics, child anthropometry and development (Ages and Stages Questionnaire-3 [ASQ-3]), and home child-rearing quality (caregiver engagement, learning resources, adult supervision [UNICEF’s Multiple Indicator Cluster Survey]). Mixed-effect regression models adjusted for household (wealth, maternal education) and child factors (age, gender) and survey round.
Results: Height, mid-upper-arm and head circumference measurements improved over time. Total ASQ-3 score did not change: communication scores increased while fine motor and personal-social scores declined. Girls’ growth and development worsened more than boys. Caregiver engagement (especially mothers’) generally declined, but learning resource availability increased. More children were left unsupervised at Round 2 than Round 1 or 3.
Conclusions: In this sample, some aspects of child growth, development, and home child-rearing quality improved while others declined. Better understanding of these changes in child well-being and the family environment during the pandemic could provide insight on how to protect children during future crises.
Ersado, Lire. Washington, DC 2003
Smith, Matthew R.; Mueller, Nathaniel D.; Springmann, Marco; Sulser, Timothy; Garibaldi, Lucas A.; Gerber, James; Wiebe, Keith D.; Myers, Samuel S.. 2022
Neupane, Sumanta; Scott, Samuel; Jangid, Manita; Shapleigh, Sara; Kim, Sunny S.; Akseer, Nadia; Heidkamp, Rebecca A.; Menon, Purnima. Washington, DC 2022
Bhatta, Astha. Washington, DC 2022
Paolisso, Michael J.; Hallman, Kelly; Haddad, Lawrence James; Regmi, Shibesh. Washington, DC 2001
Kumar, Shubh K.; Hotchkiss, David. Washington, DC 1988
Ojha, Hemant; Persha, Lauren; Chhatre, Ashwini. Washington, DC 2009
Quisumbing, Agnes; Gerli, Beatrice; Faas, Simone; Heckert, Jessica; Malapit, Hazel J.; McCarron, Catherine; Meinzen-Dick, Ruth Suseela; Paz, Florencia. Washington, DC 2022
Diao, Xinshen; Dorosh, Paul A.; Ellis, Mia; Pal, Barun Deb; Smart, Jenny; Takeshima, Hiroyuki; Thurlow, James. Washington, DC 2022
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra; Sah, Keshav; Shrestha, Bhola. 2022
Alvi, Muzna Fatima; Barooah, Prapti; Gupta, Shweta; Meinzen-Dick, Ruth Suseela; Ringler, Claudia. Washington, DC 2022
Roy, Devesh; Pradhan, Mamata; Boss, Ruchira; Rashid, Shahidur. Washington, DC 2022
Takeshima, Hiroyuki; Vos, Rob. Rome, Italy 2022
Alvi, Muzna Fatima; Gupta, Shweta; Barooah, Prapti. Washington, DC 2022
Alvi, Muzna Fatima; Gupta, Shweta; Barooah, Prapti; Ringler, Claudia; Bryan, Elizabeth; Meinzen-Dick, Ruth Suseela. Washington, DC 2022
Doss, Cheryl R.; Meinzen-Dick, Ruth Suseela; Pereira, Audrey; Pradhan, Rajendra. 2022
•Combining qualitative and quantitative methods sheds new light on women's empowerment processes.
•Upper caste Nepali women are disempowered by patriarchy; lower caste women by poverty and patriarchy.
•Non-migrant husbands mediate the disempowering effects of living with in-laws.
•Control over time, not just hours worked, is an important component of empowerment.
Slavchevska, Vanya; Hillesland, Marya; Mane, Erdgin; Doss, Cheryl. Washington, DC 2021
Nguyen, Phuong Hong; Singh, Nishmeet; Scott, Samuel; Neupane, Sumanta; Jangid, Manita; Walia, Monika; Menon, Purnima. 2022
Methods: We used data from the most recent (2015–2018) demographic and health surveys of mothers with children younger than 5 years in Afghanistan (n = 19 632), Bangladesh (n = 5051), India (n = 184 641), Maldives (n = 2368), Nepal (n = 3998), Pakistan (n = 8285) and Sri Lanka (n = 7138). We estimated co-coverage for a set of eight health and eight nutrition interventions and assessed within-country inequalities in co-coverage by wealth and geography. We examined opportunity gaps by comparing coverage of nutrition interventions with coverage of their corresponding health delivery platforms.
Findings: Only 15% of 231 113 mother–child pairs received all eight health interventions (weighted percentage). The percentage of mother–child pairs who received no nutrition interventions was highest in Pakistan (25%). Wealth gaps (richest versus poorest) for co-coverage of health interventions were largest for Pakistan (slope index of inequality: 62 percentage points) and Afghanistan (38 percentage points). Wealth gaps for co-coverage of nutrition interventions were highest in India (32 percentage points) and Bangladesh (20 percentage points). Coverage of nutrition interventions was lower than for associated health interventions, with opportunity gaps ranging from 4 to 54 percentage points.
Conclusion: Co-coverage of health and nutrition interventions is far from optimal and disproportionately affects poor households in south Asia. Policy and programming efforts should pay attention to closing coverage, equity and opportunity gaps, and improving nutrition delivery through health-care and other delivery platforms.
Food and Agricultural Organization of the United Nations (FAO); International Food Policy Research Institute (IFPRI). Rome, Italy 2021
Pradhan, Prachanda; Meinzen-Dick, Ruth Suseela; Zhang, Wei. Washington, DC 2021
Vos, Rob; Takeshima, Hiroyuki. Washington, DC 2021
Various key findings emerge. First, many children are found to engage in productive activities in studied countries. The prevalence is particularly high in African countries, such as in Ethiopia where more than one third of children aged 5-14 years engage in farm or off-farm work. Second, while the prevalence of child labour in agriculture (i.e., when productive engagement is detrimental to schooling and child growth) is much lower (at 10% or less in seven countries), they are still sizable in absolute terms; at least 6 million children in these countries partake in agricultural work at the expense of opportunities in adulthood. Third, agricultural mechanization, reflected in farm household’s use of machinery such as tractors, significantly reduces the likelihood of use of children’s labour and increases school attendance. Fourth, the measured impacts of mechanization are only modest, however, and likely indirect, that is, dependent on the extent to which mechanization helps improve household income and on local conditions (such as quality of rural infrastructure and accessibility of education and other social services).
Overall, promotion of agricultural mechanization can help prevent use of child labour. To be truly impactful, however, related support measures should be embedded in broader strategies to enable agricultural productivity growth and improve livelihoods of poor rural households.
Ambler, Kate; Doss, Cheryl; Kieran, Caitlin; Passarelli, Simone. 2022
Li, Man; Zhang, Wei; Guo, Zhe; Bhandary, Prapti. 2022
Takeshima, Hiroyuki; Diao, Xinshen. Washington, DC 2021
Meinzen-Dick, Ruth Suseela; Pradhan, Prachanda; Zhang, Wei. Washington, DC 2021
Pradesha, Angga; Thurlow, James. Washington, DC 2021
Kosec, Katrina; Mo, Cecilia Hyunjung. College Park, MD, USA 2021
Alvi, Muzna Fatima; Barooah, Prapti. Ahmedabad, India 2021
Srivastava, Nandita; Nepal, Binisha; Gauchan, Biswash; Kennedy, Adam. Washington, DC 2021
Balasubramanya, Soumya; Stifel, David; Alvi, Muzna Fatima; Ringler, Claudia. 2022
CGIAR Research Program on Policies, Institutions, and Markets (PIM). Washington, DC 2021
Jangid, Manita; Neupane, Sumanta; Murira, Zivai; Auer, S.R.; Scott, Samuel; Menon, Purnima. New Delhi, India 2021
Neupane, Sumanta; Jangid, Manita; Scott, Samuel; Nguyen, Phuong Hong; Kim, Sunny S.; Murira, Zivai; Torlesse, Harriet; Menon, Purnima. New Delhi, India 2021
Zeller, Manfred; Sharma, Manohar. Washington, D.C. 2000
Miller, Laurie C.; Neupane, Sumanta; Sparling, Thalia M.; Shrestha, Merina; Joshi, Neena; Lohani, Mahendra; Thorne‐Lyman, Andrew. 2021
Neupene, Sumanta; Scott, Samuel; Nguyen, Phuong Hong; Menon, Purnima. 2021
Takeshima, Hiroyuki; Kumar, Anjani. 2021
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra; Thorne-Lyman, Andrew. 2021
Gillespie, Stuart. Washington, D.C. 2004
Koo, Jawoo; Azzarri, Carlo; Ghosh, Aniruddha; Quabili, Wahid. Washington, DC 2021
Koo, Jawoo; Azzarri, Carlo; Ghosh, Aniruddha; Quabili, Wahid. Washington, DC 2021
Alvi, Muzna Fatima; Barooah, Prapti; Gupta, Shweta; Saini, Smriti. 2021
Gupta, Shweta; Saini, Smriti. Washington, DC 2020
Saini, Smriti; Gupta, Shweta. 2020
Slavchevska, Vanya; Doss, Cheryl; Mane, Erdgin; Kaaria, Susan; Kar, Anuja; Villa, Victor. Washington, DC 2020
Mishra, Ashok K.; Kumar, Anjani; Hirsch, Stefan. Abingdon, Oxford, UK 2021
Kishore, Avinash; Alvi, Muzna; Krupnik, Timothy J.. 2021
Quisumbing, Agnes R.; Sproule, Kathryn; Martinez, Elena M.; Malapit, Hazel Jean L.. 2021
Picchioni, Fiorella; Zanello, Giacomo; Srinivasan, C. S.; Wyatt, Amanda J.; Webb, Patrick. 2020
Mishra, Ashok K.; Kumar, Anjani; Joshi, Pramod Kumar; Dsouza, Alwin. 2022
Meinzen-Dick, Ruth Suseela; Pereira, Audrey; Pradhan, Rajendra; Doss, Cheryl. Washington, DC 2020
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra. 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen; Silver, Jed; Takeshima, Hiroyuki; Zhang, Xiaobo. Washington, DC 2020
Takeshima, Hiroyuki; Justice, Scott E.. Washington, DC 2020
Ambler, Kate; Doss, Cheryl; Kieran, Caitlin; Passarelli, Simone. Washington, DC 2020
Takeshima, Hiroyuki; Liu, Yanyan. 2020
Gillespie, Stuart. Brighton, UK 2017
Barooah, Prapti; Wouterse, Fleur Stephanie; Saini, Smriti; Alvi, Muzna; Ringler, Claudia. 2020
Bhutta, Zulfiqar A.; Akseer, Nadia; Keats, Emily C.; Vaivada, Tyler; Baker, Shawn; Horton, Susan E.; Katz, Joanne; Menon, Purnima; Piwoz, Ellen; Shekar, Meera; Victoria, Cesar; Black, Robert. 2020
Takeshima, Hiroyuki; Kumar, Anjani. Washington, DC 2020
We partly fill this critical knowledge gap by providing a set of evidence from Nepal, which is a country that has historically been dominated by smallholder farmers and yet has recently been experiencing rapid structural transformation within the agricultural sector. Specifically, we show the following: the agricultural sector in Nepal has experienced a significant increase in returns-to-scale (RTS) in production in recent years during the process of growing adoptions of agricultural mechanization through the custom-hiring market. Such increase in RTS has primarily strengthened the linkages between factor endowment heterogeneity (across farm households) and their specialization behaviors in labor, land, and the agricultural capital market. Both cross-section and panel-data of households in Nepal extracted from Nepal Living Standards Surveys are used to generate this evidence. We find that rising RTS associated primarily with tractor use growth has been inducing greater exploitations of comparative advantages; agricultural households have been increasingly specializing in exchanges of production factors, services, and outputs, in ways consistent with predictions based on their relative factor endowments. Specifically, the rise in RTS has induced households with more labor, land, and capital endowments to rent out their labor, land, and credit, respectively, within the agricultural sector, while increasingly renting-in the other factors with which they are less endowed. The results suggest that understanding factor endowments heterogeneity among agricultural households is becoming increasingly important for effective agricultural policy designs in countries like Nepal, where employment shares in the agricultural sector remain high despite the growth in mechanization.
Singh, Nishmeet; Nguyen, Phuong Hong; Scott, Samuel; Kim, Sunny S.; Neupane, Sumanta; Murira, Zivai; Heidkamp, Rebecca A.; Bhutta, Zulfiqar A.; Menon, Purnima; Torlesse, Harriet. 2020
Neupane, Sumanta; Jangid, Manita; Scott, Samuel; Nguyen, Phuong Hong; Kim, Sunny S.; Menon, Purnima; Murira, Zivai; Torlesse, Harriet. 2020
Scott, Samuel; Nguyen, Phuong Hong; Neupane, Sumanta; Pramanik, Priyanjana; Nanda, Priya; Menon, Purnima; Bhutta, Zulfiqar; Afsana, Kaosar. 2020
Jangid, Manita; Neupane, Sumanta; Scott, Samuel; Nguyen, Phuong Hong; Kim, Sunny S.; Menon, Purnima; Torlesse, Harriet; Murira, Zivai; Heidkamp, Rebecca A.. 2020
Meinzen-Dick, Ruth Suseela. 2020
Thapa, Ganesh; Kumar, Anjani; Roy, Devesh; Joshi, Pramod Kumar. 2020
Quisumbing, Agnes R.; Sproule, Kathryn; Martinez, Elena M.; Malapit, Hazel J.. Washington, DC 2020
Diao, Xinshen; Li, Ruoxin. Washington, DC 2020
Kumar, Anjani; Takeshima, Hiroyuki; Thapa, Ganesh; Adhikari, Naveen; Saroj, Sunil; Karkee, Madhab; Joshi, Pramod Kumar. 2020
Stads, Gert-Jan. Dhaka, Bangladesh 2019
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Shrestha, Merina; Neupane, Shailes; Lohani, Mahendra; Thorne‐Lyman, Andrew L.. Oxford, UK 2020
Ajmani, Manmeet; Choudhary, Vishruta; Kishore, Avinash; Roy, Devesh. New Delhi, India 2019
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Kumar, Anjani; Thapa, Ganesh; Mishra, Ashok K.; Joshi, Pramod Kumar. 2020
Foster, Tim; Adhikari, Roshan; Urfels, Anton; Adhikari, Subash; Krupnik, Timothy J.. Washington, DC 2019
variability and dry spells within the monsoon – both of which contribute to low productivity and rural poverty.
Ward, Patrick S.; Gupta, Shweta; Singh, Vartika; Ortega, David L.; Gautam, Shriniwas. 2020
Thapa, Ganesh; Kumar, Anjani; Joshi, Pramod Kumar. Singapore 2019
Kishore, Avinash; Alvi, Muzna; Krupnik, Timothy J.. Washington, DC 2019
representatives from policy and extension, private fertilizer companies and fertilizer federations, researchers from CGIAR centers, as well as representatives of the donor community. Participants came from India, Nepal, Bangladesh, and Sri Lanka. Interactive discussions were centred around three main themes: (a) cross-country learning and evidence sharing on policies and subsidies to promote balanced nutrient application, (b) market, policy, and product innovations in the fertilizer industry, and (c) learnings and insights on the development of innovative methods in research and extension targeted to farmers. This policy brief summarizes seven key lessons learned from the discussions in the workshop.
Kumar, Praduman; Kumar, Anjani; Joshi, Pramod Kumar. Singapore 2019
Takeshima, Hiroyuki. Singapore 2019
Babu, Suresh Chandra; Sah, Ram Pratap. Singapore 2019
Thapa, Ganesh; Kumar, Anjani; Joshi, Pramod Kumar. Singapore 2019
Kumar, Anjani; Thapa, Ganesh B.; Joshi, Pramod Kumar. Singapore 2019
Kyle, Jordan; Resnick, Danielle. Singapore 2019
Takeshima, Hiroyuki; Bhattarai, Madhusudan. Singapore 2019
Thapa, Ganesh, ed.; Kumar, Anjani, ed.; Joshi, Pramod Kumar, ed.. Singapore 2019
Miller, Laurie C.; Neupane, Sumanta; Joshi, Neena; Lohani, Mahendra; Rogers, Beatrice L.; Neupane, Shailes
. 2020
Khanal, Aditya R.; Mishra, Ashok K.; Kumar, Anjani. 2019
International Food Policy Research Institute (IFPRI). Washington, DC 2019
Kishore, Avinash; Pandey, Divya; Pal, Barun Deb; Joshi, Pramod Kumar; Tyagi, N. K.. Singapore 2019
Stads, Gert-Jan; Shrestha, Hari K.; Nin-Pratt, Alejandro; Thi Pham, Nguyen. Washington, DC 2019
Takeshima, Hiroyuki; Liu, Yanyan. Washington, DC 2019
Pradhan, Rajendra; Meinzen-Dick, Ruth Suseela; Theis, Sophie. 2019
Thomas, Timothy S.; Robertson, Richard D.; Boote, Kenneth J.. Washington, DC 2019
Kumar, Anjani; Roy, Devesh; Joshi, Pramod Kumar; Tripathi, Gaurav; Adhikari, Rajendra P.. 2019
International Food Policy Research Institute (IFPRI). Washington, D.C. 2003
Thapa, Ganesh; Kumar, Anjani; Roy, Devesh; Joshi, Pramod Kumar. Washington, DC 2019
Ward, Patrick S.; Gupta, Shweta; Singh, Vartika; Gautam, Shriniwas; Guerena, David. Washington, DC 2019
Ward, Patrick S.; Gupta, Shweta; Singh, Vartika; Ortega, David L.; Gautam, Shriniwas; Guerena, David; Shrestha, Rudra Bahadur. Washington, DC 2019
Babu, Suresh Chandra; Sah, Ram Pratap; . Washington, DC 2019
Kumar, Anjani; Takeshima, Hiroyuki; Adhikari, Naveen; Thapa, Ganesh; Joshi, Pramod Kumar; Karkee, Madhab. Washington, DC 2018
Kyle, Jordan; Resnick, Danielle. 2019
International Food Policy Research Institute (IFPRI). Washington, DC 2018
Cunningham, Kenda; Ferguson, Elaine; Ruel, Marie T.; Uauy, Ricardo; Kadiyala, Suneetha; Menon, Purnima; Ploubidis, George B.. 2019
International Food Policy Research Institute (IFPRI). Washington, DC 2018
人間の安全保障と質の高い成長へ向けて、日本は世界規模での貧困削減、農業・農村開発、人類の健康と栄養の向上に貢献している。国際食糧政策研究所(IFPRI)も研究の成果をもとに、貧困、飢餓と栄養不足を持続可能なかたちで削減させるための政策提言を通じて、同じ目標に向かっている。日本は、30年以上にわたりアフリカとアジアにおいて、IFPRIと連携し、農業の近代化から開発能力の向上、そして栄養の改善といった様々な共通の課題への取り組みを支援してきた。日本の長年にわたる支援によって、IFPRIの研究成果はより蓄積し、途上国の政策に影響を与え、さらには日本の開発援助に知見を提供してきた。以下では、この協力関係の成果を要約する。
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