Your search found 19 records
1 Te, A. 1982. The economic analysis of a reserve stock program for rice in the Philippines. Washington, DC, USA: IFPRI. iii, 33p.
Agricultural policy ; Rice ; Agricultural prices ; Irrigation ; Cost benefit analysis ; Rice ; Crop yield / Philippines
(Location: IWMI-HQ Call no: 338.17318 G732 TEA Record No: H082)

2 Bertrand, T. 1980. Thailand: Case study of agricultural input and output pricing. Washington, DC, USA: World Bank. ix, 134 p. (World Bank staff working paper no. 385)
Agricultural prices ; Labor ; Agricultural policy ; Resource management / Thailand
(Location: IWMI-HQ Call no: 338.13 G750 BER Record No: H01283)

3 Abeysinghe, A. Agriculture and agricultural marketing in the Mahaweli economic zone. Unknown. 19p.
Agricultural production ; Agricultural prices ; Marketing / Sri Lanka / Mahaweli Project
(Location: IWMI-HQ Call no: P 1904 Record No: H08346)
https://vlibrary.iwmi.org/pdf/H08346.pdf

4 Scandizzo, L.; Bruce, C. 1980. Methodologies for measuring agricultural price intervention effects. Washington, DC, USA: World Bank. [x], 96p. (World Bank staff working paper no.394)
Agricultural prices ; Price policy ; Economic policy ; Developing countries / Argentina / Egypt / Kenya / Pakistan / Thailand / Yugoslavia
(Location: IWMI-HQ Call no: 338.1 G000 SCA Record No: H012941)

5 Wright, B. D. 1993. Dynamic perspectives on agricultural policy issues. American Journal of Agricultural Economics, December:1113-1125.
Agricultural policy ; Marketing ; Agricultural prices
(Location: IWMI-HQ Call no: P 3439 Record No: H014568)

6 Bhatia, M. S. 1994. Agricultural pricing, marketing and international trade under new economic environment. Indian Journal of Agricultural Economics, 49(3):403-416.
Agricultural prices ; Agricultural production ; Marketing ; Economic aspects / India
(Location: IWMI-HQ Call no: PER Record No: H015518)

7 Breth, S. A. (Ed.) 1994. Issues in African rural development 2. Arlington, VA, USA: Winrock International. viii, 215p.
Rural development ; Irrigation systems ; Labor ; Agricultural manpower ; Cereals ; Agricultural policy ; Government ; Expenditure ; Policy ; Fertilizers ; Marketing ; Vegetables ; Population ; Land use ; Farming systems ; Linear programming ; Models ; Simulation ; Tenancy ; Irrigation programs ; Cost recovery ; Agricultural prices / Africa / Botswana / Ethiopia / Ghana / Nigeria / West Africa / Sudan / Tanzania / Zimbabwe
(Location: IWMI-HQ Call no: 338.9 G100 BRE Record No: H017352)

8 Hussain, Z.; El-Kady, M. 1995. The supply response of major crops and crop substitutability in Egypt. Paper, National Water Research Center (Egypt), Strategic Research Program. 15p. (Working paper series no.15-4)
Water resource management ; Agricultural research ; Crop production ; Maize ; Rice ; Wheat ; Cotton ; Sugarcane ; Sorghum ; Research methods ; Agricultural prices ; Models / Egypt
(Location: IWMI-HQ Call no: P 4061 Record No: H017468)
https://vlibrary.iwmi.org/pdf/H017468.pdf

9 Krueger, A. O.; Schiff, M.; Vald,s, A. (Eds.) 1991. The political economy of agricultural pricing policy: Volume 2 - Asia. Washington, DC, USA: World Bank. xv, 293p.
Agricultural economics ; Political aspects ; Economic development ; Agricultural policy ; Agricultural prices ; Developing countries ; Case studies / Asia / Korea Republic / Malaysia / Pakistan / Philippines / Sri Lanka / Thailand
(Location: IWMI-HQ Call no: 338.1 G570 KRU Record No: H017535)

10 Quibria, M. G. (Ed.) 1994. Rural poverty in developing Asia. Volume 1: Bangladesh, India and Sri Lanka. Manila, Philippines: ADB. xxviii, 556p.
Poverty ; Indicators ; Measurement ; Land resources ; Land tenure ; Land reform ; Economic policy ; Rural economy ; Economic growth ; Nutrition ; Health ; Education ; Economic development ; Population growth ; Income distribution ; Tenancy ; Employment ; Wages ; Public sector ; Rural development ; Political aspects ; Agricultural policy ; Public investment ; Credit policy ; Agricultural prices ; Human resource development ; Labor ; Crops ; Resource allocation ; Women in development ; Households ; Gender / Bangladesh / India / Sri Lanka
(Location: IWMI-HQ Call no: 339.46 G570 QUI Record No: H021116)

11 1993. Commodity trade and price trends, 1989-91 edition. Commodity Markets and the Developing Countries: A World Bank Quarterly, 1(1):51-98.
Prices ; Agricultural prices ; Statistics ; Agricultural economics ; Fuels
(Location: IWMI-HQ Call no: P 4881 Record No: H022538)

12 Pande, S.; Savenije, H. H. G. 2016. A sociohydrological model for smallholder farmers in Maharashtra, India. Water Resources Research, 52(3):1923-1947. [doi: https://doi.org/10.1002/2015WR017841]
Smallholders ; Farmers ; Social aspects ; Hydrology ; Models ; Water storage ; Capital allocation ; Income ; Living standards ; Labour costs ; Remuneration ; Expenditure ; Agricultural prices ; Cotton ; Sugarcane ; Soil fertility ; Fertilizer application ; Irrigation ; Livestock production ; Grasslands ; Fodder / India / Maharashtra / Marathwada
(Location: IWMI HQ Call no: e-copy only Record No: H047760)
https://vlibrary.iwmi.org/pdf/H047760.pdf
(1.81 MB)
We present a sociohydrological model that can help us to better understand the system dynamics of a smallholder farmer. It couples the dynamics of the six main assets of a typical smallholder farmer: water storage capacity, capital, livestock, soil fertility, grazing access, and labor. The hydroclimatic variability, which is a main driver and source of uncertainty of the smallholder system, is accounted for at subannual scale. The model incorporates rule-based adaptation mechanisms of smallholders (for example, adjusting expenditures on food and fertilizers and selling livestocks) when farmers face adverse sociohydrological conditions, such as low annual rainfall, occurrence of dry spells, or variability of input or commodity prices. We have applied the model to analyze the sociohydrology of a cash crop producing smallholder in Maharashtra, India, in a semisynthetic case study setting. Of late, this region has witnessed many suicides of farmers who could not extricate themselves out of the debt trap. These farmers lacked irrigation and were susceptible to fluctuating commodity prices and climatic variability. We studied the sensitivity of a smallholder’s capital, an indicator of smallholder well-being, to two types of cash crops (cotton and sugarcane), water storage capacity, availability of irrigation, initial capital that a smallholder starts with, prevalent wage rates, and access to grazing. We found that (i) smallholders with low water storage capacities and no irrigation are most susceptible to distress, (ii) a smallholder’s well-being is low at low wage rates, (iii) wage rate is more important than absolution of debt, (iv) well-being is sensitive to water storage capacity up to a certain level, and (v) well-being increases with increasing area available for livestock grazing. Our results indicate that government intervention to absolve the debt of farmers or to invest in local storage to buffer rainfall variability may not be enough. In addition, alternative sources of income may need to be provided, for instance by ensuring minimum wages or by providing more access to grazing areas.

13 Hailegiorgis, D. S.; Hagos, Fitsum. 2016. Structure and performance of vegetable marketing in East Shoa Zone, Oromia Region, Ethiopia. Journal of Marketing and Consumer Research, 26:7-16.
Marketing channels ; Wholesale marketing ; Vegetables ; Performance testing ; Wholesale prices ; Profitability ; Retail marketing ; Retail prices ; Agricultural production ; Agricultural prices ; Smallholders ; Farmers ; Consumers ; Trade / Ethiopia / Oromia Region / East Shoa Zone
(Location: IWMI HQ Call no: e-copy only Record No: H047764)
http://iiste.org/Journals/index.php/JMCR/article/download/32249/33138
https://vlibrary.iwmi.org/pdf/H047764.pdf
Analysis of marketing performance of vegetable plays an important role in an ongoing or future market development plan. The study primarily examines market structure of major actors and assessing the market performance for key vegetable marketing actors and channels by quantifying costs and profit margins. The data was generated by household survey using pre-tested structured questionnaires. This was supplemented by secondary data collected from different published and unpublished sources. The study result shows that the total gross marketing margin was 30% with producer participation margin of 70% implying higher marketing margin of smallholder producers. The market intermediaries incurred different marketing costs such as costs of packing, sorting, transportation, loading and unloading. Central wholesalers obtain relatively highest profit in channel numbered II and III, which amounted to Birr 204,827 and 58,675, respectively. The study result signifies that the first four largest volumes of vegetable purchased by first four big traders (CR4) constitute 50% of market share, which indicates the market structure for vegetable is strongly oligopolistic. OLS regression results also revealed that there are economies of scale for wholesalers at Meki market, which clearly indicates the presence of barrier to entry/exit for wholesalers in the market. Policy implications drawn from the study indicate that changing oligopolistic market structure, capacitating unions to supply inputs and outputs and supporting actors involved in local vegetable markets.

14 Coslet, C.; Goodbody, S.; Guccione, C. 2017. FAO/WFP crop and food security assessment mission to Sri Lanka. Special report. Rome, Italy: FAO; World Food Programme (WFP). 44p.
Crop production ; Household food security ; Assessment ; Water availability ; Irrigation schemes ; Seasonal cropping ; Cereals ; Rice ; Maize ; Vegetables ; Seeds ; Fertilizers ; Field preparation ; Crop yield ; Livestock production ; Agricultural prices ; Markets ; Economic growth ; Living standards ; Food supply ; Food consumption ; Rain ; Flooding ; Drought / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H048199)
http://www.fao.org/3/a-i7450e.pdf
https://vlibrary.iwmi.org/pdf/H048199.pdf
(2.53 MB) (2.53 MB)

15 Dissanayake, S.; Asafu-Adjaye, J.; Mahadeva, R. 2017. Addressing climate change cause and effect on land cover and land use in South Asia. Land Use Policy, 67:352-366. [doi: https://doi.org/10.1016/j.landusepol.2017.06.003]
Climate change mitigation ; Land cover ; Land use ; Agricultural productivity ; Intensification ; Trade liberalization ; Trade policies ; Agricultural prices ; Farmland ; Forestry ; Pastures ; Carbon dioxide ; Emission ; Models ; Databases / South Asia / India
(Location: IWMI HQ Call no: e-copy only Record No: H048304)
https://vlibrary.iwmi.org/pdf/H048304.pdf
(1.16 MB)
This paper evaluates the role of trade liberalization and agricultural intensification in mitigating climate change cause and effects on land use and emissions using a computable general equilibrium model. Our results indicate that cropland expansion triggered by climate-induced crop productivity changes results in deforestation and increases emissions in South Asia and globally. Global full trade liberalization on all goods is the optimum policy for South Asia despite significant global deforestation, but for the world, unilateral partial trade liberalization on all goods is a more appropriate policy while ensuring a considerable emissions reduction for South Asia. These results indicate that mitigation responses to climate change are location specific and no one trade policy is suitable at the regional and global levels. Lastly, agricultural intensification by improving productivity growth is the best strategy in land-based emissions mitigation, thereby avoiding the transformation of forest and pasture lands for agricultural cultivation both at regional and global levels.

16 Vandercasteelen, J.; Beyene, S. T.; Minten, B.; Swinnen, J. 2018. Big cities, small towns, and poor farmers: evidence from Ethiopia. World Development, 106:393-406. [doi: https://doi.org/10.1016/j.worlddev.2018.03.006]
Agricultural production ; Intensification ; Urbanization ; Towns ; Agricultural prices ; Eragrostis tef ; Farmers ; Socioeconomic environment ; Transport ; Costs ; Regression analysis ; Models / Africa South of Sahara / Ethiopia / Addis Ababa / Bahir Dar / Nazareth
(Location: IWMI HQ Call no: e-copy only Record No: H048794)
https://www.sciencedirect.com/science/article/pii/S0305750X18300871/pdfft?md5=83a2c4f32d26313533f9051511024aff&pid=1-s2.0-S0305750X18300871-main.pdf
https://vlibrary.iwmi.org/pdf/H048794.pdf
(1.12 MB) (1.12 MB)
Urbanization is happening fast in the developing world and especially so in sub-Saharan Africa where growth rates of cities are among the highest in the world. While cities and, in particular, secondary towns, where most of the urban population in sub-Saharan Africa resides, affect agricultural practices in their rural hinterlands, this relationship is not well understood. To fill this gap, we develop a conceptual model to analyze how farmers’ proximity to cities of different sizes affects agricultural prices and intensification of farming. We then test these predictions using large-scale survey data from producers of teff, a major staple crop in Ethiopia, relying on unique data on transport costs and road networks and implementing an array of econometric models. We find that agricultural price behavior and intensification is determined by proximity to a city and the type of city. While proximity to cities has a strong positive effect on agricultural output prices and on uptake of modern inputs and yields on farms, the effects on prices and intensification measures are lower for farmers in the rural hinterlands of secondary towns compared to primate cities.

17 Vandone, D.; Peri, M.; Baldi, L.; Tanda, A. 2018. The impact of energy and agriculture prices on the stock performance of the water industry. Water Resources and Economics, 23:14-27. [doi: https://doi.org/10.1016/j.wre.2018.02.002]
Water market ; Industry ; Agricultural prices ; Energy sources ; Stocks ; Price indices ; Water demand ; Macroeconomic analysis ; Financing ; Risk factors ; Models
(Location: IWMI HQ Call no: e-copy only Record No: H048912)
https://vlibrary.iwmi.org/pdf/H048912.pdf
(1.52 MB)
Water issues are receiving increasing attention from policy-makers and international organizations due to water scarcity and global rising demand. Given that the demand for water is mainly driven by agriculture and energy, we use a multifactor market model to analyze the impact of agriculture and energy price trends on the price of listed companies operating in the water industry. Evidence highlights a sensitivity of water stocks returns to agriculture and energy price changes. Additionally, when using state space model to estimate dynamic beta coefficients, factor sensitivities show a time-varying behavior, especially during the 2008 economic and financial crisis.

18 Bouet, A.; Laborde, D. (Eds.) 2017. Agriculture, development, and the global trading system: 2000 - 2015. Washington, DC, USA: International Food Policy Research Institute (IFPRI). 469p. [doi: https://doi.org/10.2499/9780896292499]
International trade ; Agricultural policies ; Development programmes ; Trade policies ; Trade agreements ; Negotiation ; Food security ; Food stocks ; Agricultural prices ; Domestic markets ; Price volatility ; Market access ; Economic impact ; Tariffs ; Subsidies ; Trade organizations ; WTO ; European Union ; Legal frameworks ; Agricultural insurance ; Crop insurance ; Cotton ; Rice ; Wheat ; Oilseeds ; Soybeans ; Imports ; Exports ; Taxes ; Food aid ; Farmers ; Models / USA / Russian Federation / Brazil / India / China / Canada / Qatar / Uruguay / Indonesia / Doha Development Agenda / Bali
(Location: IWMI HQ Call no: e-copy only Record No: H048949)
https://www.ifpri.org/cdmref/p15738coll2/id/131381/filename/131592.pdf
https://vlibrary.iwmi.org/pdf/H048949.pdf
(5.42 MB) (5.42 MB)
This book is devoted to the complex relationship between the global trading system and food security, focusing on two important elements: the Doha Development Agenda (DDA) and how food price volatility can be managed, or not, through trade instruments. The first section of the book is based on the premise that more trade integration can fight poverty and alleviate hunger. The second section examines whether managing price volatility is doable through more or less trade integration. This section deals in particular with policy instruments available for policy makers to cope with price volatility: food stocks, crop insurance, and export restrictions. Analysis concludes that without a strong and efficient World Trade Organization (WTO) capable of conducting ambitious trade negotiations, the food security target will be much more difficult to hit.

19 Kafle, Kashi; Songsermsawas, T.; Winters, P. 2021. Impacts of agricultural value chain development in a mountainous region: evidence from Nepal. Rome, Italy: International Fund for Agricultural Development (IFAD). 33p. (IFAD Research Series 65)
Agricultural value chains ; Farm income ; Small scale systems ; Smallholders ; Market access ; Household income ; Food security ; Dietary diversity ; Resilience ; Rural poverty ; Commodities ; Agricultural prices ; Price indices ; Food insecurity ; Livestock ; Highlands ; Villages ; Minority groups ; Women ; Econometric models / Nepal / Karnali / Achham / Dailekh / Jajarkot / Jumla / Kalikot / Salyan / Surkhet
(Location: IWMI HQ Call no: e-copy only Record No: H050432)
https://www.ifad.org/documents/38714170/42926104/research_65.pdf/74dee600-7e5e-98ea-944d-d5d10bbc0eae?t=1620738318823
https://vlibrary.iwmi.org/pdf/H050432.pdf
(1.65 MB) (1.65 MB)
This analysis investigates the potential mechanism and the practical significance of the impacts of agricultural value chain development in a geographically challenging rural area of a developing country. We use data from a carefully designed primary survey administered in the hill and mountainous region in Western Nepal. Using the inverse probability weighted regression adjustment method, we show that linking small-scale producers with regional and local traders can help increase agricultural income. We unpack the potential mechanism of the impact pathway and show that the increase in agricultural income is a consequence of higher agricultural revenues, owing to a higher volume of sales at lower prices. We argue that value chain intervention in rural areas, where land is not fully exploited, can lead to acreage expansion or crop switching, which eventually results in higher supply at lower output prices. The positive impact on household income is practically significant in that it translated into improved food security, dietary diversity and household resilience. These findings are robust to various specifications. Targeted value chain interventions that strengthen and stabilize small-scale producers’ access to markets can contribute to rural poverty reduction via an increase in agricultural income.

Powered by DB/Text WebPublisher, from Inmagic WebPublisher PRO