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Résultats 1971-1980 de 2,193
China’s fiscal expenditure on agriculture: Impact on the urban–rural income gap Texte intégral
2022
Mao, Rui; Ruan, Maoqi; Shi, Xinjie; Sun, Weiqi; Chen, Kevin Z. | http://orcid.org/0000-0001-7927-4132 Chen, Kevin | Low-Emission Food Systems
Since the reform and opening-up in 1978, China’s income distribution gap has widened. The Gini coefficient of national residents’ income rose from 0.31 in 1981 to a historic high of 0.49 in 2008 and has continued to hover at a high of 0.46 in the recent years (Molero-Simarro, 2017; Li and Zhu, 2018; Luo et al., 2021). Narrowing the income gap between urban and rural residents is the key to reducing China’s Gini coefficient. The ratio of per capita income between urban and rural residents exhibited an overall growth trend before 2009, despite the increase in disposable income per capita of rural residents from 134 yuan in 1978 to 18,931 yuan in 2021. In 2007, the urban–rural income ratio exceeded 3:1 for the first time and contributed over 50% to the Gini coefficient of the national income distribution (Li and Wan, 2013). Since 2009, the urban–rural income gap has decreased; however, the decline has nearly halted post 2014. In 2021, the urban–rural income ratio was still as high as 2.5:1, almost equal to that in 1978 and larger than that in developed countries, which have a level of approximately 1:1 or lower. | Non-PR | 3 Building Inclusive and Efficient Markets, Trade Systems, and Food Industry; 4 Transforming Agricultural and Rural Economies; DCA; IFPRI4 | DSGD
Afficher plus [+] Moins [-]Rethinking agrifood systems for the post-COVID world Texte intégral
2021
Fan, Shenggen; Chen, Kevin Z.; Si, Wei; Swinnen, Johan | http://orcid.org/0000-0002-2658-4863 Fan, Shenggen; http://orcid.org/0000-0001-7927-4132 Chen, Kevin; https://orcid.org/0000-0002-8650-1978 Swinnen, Johan
The outbreak of the COVID-19 pandemic in early 2020 has caused a global public health crisis. It has also severely damaged the world’s agrifood systems. Before the pandemic, agrifood systems were already vulnerable to many threats, including climate change, frequent extreme weather events, degradation of natural resources, economic slowdown, and regional conflicts (Fan, Wei, and Zhang 2020; Chen et al. 2020). The number of undernourished people worldwide had been increasing for five consecutive years to 690 million in 2019. More than 135 million people in 55 countries and territories were facing acute hunger, 144 million children younger than five were stunted, and 47 million children were wasted (FSIN 2020; FAO et al. 2020). The pandemic has increased poverty for the first time in 22 years—about 100 million more people have fallen into extreme poverty (FAO 2021b). Moreover, an additional 130 million people are threatened by acute severe food insecurity during the pandemic (WFP 2020a). A recent study has shown that the total number of children affected by stunting could increase by 2.8 million because of the pandemic (World Bank 2021). At the same time, the number of children experiencing wasting could increase by 6.7 million (UNICEF 2020; WFP 2020b). The livelihoods of vulnerable groups such as smallholder farmers, women, and migrant workers are threatened as they face losing jobs and incomes (FAO 2021b). Without effective measures, 840 million people in the world could face undernourishment and suffer from hunger by 2030, far from the “zero hunger” of the UN Sustainable Development Goals (IFPRI 2021b). As vaccines are gradually deployed globally, the pandemic is expected to be under control to some extent by the end of 2021. But we should not simply recover from the crisis; it is time to rethink how to build back better to achieve green, low-carbon, healthier, inclusive, and more resilient food systems. | Non-PR | IFPRI4; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food Industry; DCA | DSGD
Afficher plus [+] Moins [-]Linkages between agriculture and the overall economy
1989
Islam, Nurul
Managing intellectual property and proprietary technology in agricultural research Texte intégral
2002
Cohen, Joel I. | Falconi, Cesar | Henson-Appolonio, R.V. | Komen, John | Salazar, Silvia
Managing intellectual property and proprietary technology in agricultural research
2002
Cohen, Joel I. | Falconi, Cesar | Henson-Appolonio, R.V. | Komen, John | Salazar, Silvia
Managing intellectual property and proprietary technology in agricultural research Texte intégral
2012 | 2002
Cohen, Joel I.; Falconi, Cesar; Henson-Appolonio, R.V.; Komen, John; Salazar, Silvia
Non-PR | IFPRI4 | EPTD
Afficher plus [+] Moins [-]Oil crop trials in Nepal
1975
Shehori, Y. (Ministry of Agriculture, Bet Dagan (Israel). Agricultural Research Organization. Div. of Industrial Crops)
Environmental factors related to water resource management for sustainable rural development in the Krishna Delta, South India
2008
Venot, Jean-Philippe | Sharma, Bharat R. | Rao, K.V.G.K.
Cotton in South East Asia and Africa
1975
Zur, M. (Ministry of Agriculture, Bet Dagan (Israel). Agricultural Research Organization. Div. of Industrial Crops)
Income, saving and investment of agricultural households: A state and farm level analysis based NAFIS 2016-17 Texte intégral
2022
Bathla, Seema | Kumar, Anjani | Saroj, Sunil | Kumar, Ashutosh | Gupta, Neha
The present study analyses the income, saving and saving gap among agricultural households (HHs) to understand their investment behaviour, using the data obtained from the NABARD All India Rural Financial Inclusion Survey (NAFIS) 2016-17, which was conducted by the National Bank for Agriculture and Rural Development (NABARD). The NAFIS had the crop year 2015-16 (kharif and rabi seasons) as the reference year. It covered more than 40,000 households, of which 55% were agricultural HHs and the remaining were non-agricultural HHs. The sample was drawn from all the states, and covered farmers with different size of land holdings. Direct enquiries were made about HHs income, expenditure on food and non-food items including farm inputs, amount deposited in bank and invested in financial and physical assets, outreach of institutional credit, financial inclusion and so on.
Afficher plus [+] Moins [-]Income, saving and investment of agricultural households: A state and farm level analysis based NAFIS 2016-17 Texte intégral
2022
Bathla, Seema | Kumar, Anjani | Saroj, Sunil | Kumar, Ashutosh | Gupta, Neha
Income, saving and investment of agricultural households: A state and farm level analysis based NAFIS 2016-17
2022
Bathla, Seema | Kumar, Anjani | Saroj, Sunil | Kumar, Ashutosh | Gupta, Neha
The present study analyses the income, saving and saving gap among agricultural households (HHs) to understand their investment behaviour, using the data obtained from the NABARD All India Rural Financial Inclusion Survey (NAFIS) 2016-17, which was conducted by the National Bank for Agriculture and Rural Development (NABARD). The NAFIS had the crop year 2015-16 (kharif and rabi seasons) as the reference year. It covered more than 40,000 households, of which 55% were agricultural HHs and the remaining were non-agricultural HHs. The sample was drawn from all the states, and covered farmers with different size of land holdings. Direct enquiries were made about HHs income, expenditure on food and non-food items including farm inputs, amount deposited in bank and invested in financial and physical assets, outreach of institutional credit, financial inclusion and so on.
Afficher plus [+] Moins [-]Income, saving and investment of agricultural households: A state and farm level analysis based NAFIS 2016-17 Texte intégral
2022
Bathla, Seema; Kumar, Anjani; Saroj, Sunil; Kumar, Ashutosh; Gupta, Neha | http://orcid.org/0000-0001-8920-6598 Kumar, Anjani; http://orcid.org/0000-0001-5820-2092 Saroj, Sunil | National Policies and Strategies
The present study analyses the income, saving and saving gap among agricultural households (HHs) to understand their investment behaviour, using the data obtained from the NABARD All India Rural Financial Inclusion Survey (NAFIS) 2016-17, which was conducted by the National Bank for Agriculture and Rural Development (NABARD). The NAFIS had the crop year 2015-16 (kharif and rabi seasons) as the reference year. It covered more than 40,000 households, of which 55% were agricultural HHs and the remaining were non-agricultural HHs. The sample was drawn from all the states, and covered farmers with different size of land holdings. Direct enquiries were made about HHs income, expenditure on food and non-food items including farm inputs, amount deposited in bank and invested in financial and physical assets, outreach of institutional credit, financial inclusion and so on. | Non-PR | 4 Transforming Agricultural and Rural Economies; IFPRI5; CRP2; DCA; Capacity Strengthening | SAR; PIM | CGIAR Research Program on Policies, Institutions, and Markets (PIM)
Afficher plus [+] Moins [-]Strategic analysis and knowledge support systems for agriculture and rural development in Africa: Translating evidence into action Texte intégral
2011
Johnson, Michael | Flaherty, Kathleen
In this technical guide we describe the Strategic Analysis and Knowledge Support System (SAKSS) concept developed by the International Food Policy Research Institute in response to the capacity gaps typically found in many African countries for generating and translating evidence into action. SAKSS is defined as a collaborative network that acts as a mechanism by which relevant evidence is generated and used to inform agricultural and rural development strategy formulation and implementation. SAKSS brings together two important concepts—“strategic analysis” and “knowledge support systems.” The strategic analysis component describes an integrated framework of analysis that helps identify strategy and investment options for achieving high-end development goals. This analysis is carried out within the context of a knowledge support system, a network that serves the evidence needs of strategy formulation and implementation. By providing a platform for exchange, information, data analysis, and knowledge can be compiled, synthesized, and packaged into evidence that is supplied on a timely and reliable basis to be of use during strategy processes.
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