Policy and competitiveness of agroforestry‐based technologies for maize production in Cameroon: An application of policy analysis matrix

Adesina, Akinwumi A.; Coulibaly, O.

doi:10.1111/j.1574-0862.1998.tb00509.x

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Since its development, PAM is increasingly being used by analysts working in many developing countries, where distortions in the prices are often substantial (Adesina and Coulibaly 1998;Greenaway, Hassan, and Reed 1994;Mohanty, Fang, and Chaudhary 2003). For example, Islam and Kirschke (2010) developed Policy Analysis Matrices for rice production in Bangladesh and expounded that the country has a static comparative advantage in producing rice.…”

Section: Pam Under Import Parity Price Of Ricementioning

confidence: 99%

Profitability and Competitiveness of Rice Farming in Malaysia: A Policy Analysis Matrix

Fatah¹,

Cramon‐Taubadel²

2017

AJAD

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In recent years, the Malaysian rice sector has experienced structural changes to improve its competitiveness within a dynamic environment that is influenced by political, technical, economic, and international trade challenges. Using a policy analysis matrix and a rich dataset on rice producing households in four of Malaysia’s granary areas, the competitiveness of rice production in Malaysia is analyzed. The empirical results show that rice production is competitive in three of the four granary areas, the exception being Ketara granary area. To fully understand the importance of the competitive farms, they must be identified and studied by further research using disaggregated data. The finding suggests that government policy should focus on encouraging structural changes capable of enabling the local farms to grow enough to earn sufficient income, generate social profits, and thus improve the sector's competitiveness.

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Section: Pam Under Import Parity Price Of Ricementioning

confidence: 99%

Profitability and Competitiveness of Rice Farming in Malaysia: A Policy Analysis Matrix

Fatah¹,

Cramon‐Taubadel²

2017

AJAD

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Climate variability and maize production in Cameroon: Simulating the effects of extreme dry and wet years

Tingem

Rivington²,

Colls

2008

Singap J Trop Geogr

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The effects of interyear variability of extreme rainfall events on maize yields at locations in Cameroon, in central-west sub-Saharan Africa were investigated through a simulation assessment combining a weather generator with a crop growth model. This study analyzes the potential of using dry/wet year predictions to reduce risk in subsistence agricultural production associated with climate variability at the site level. Weather data sets from eight provincial study localities were classified into three precipitation scenarios -dry (lower threshold), normal and wet (upper threshold) years. According to the modelling results, there is a less than 12 per cent variance in mean maize yields across six out of the eight localities when planting occurs in March, May and August. The variance is equivalent to approximately 100-300 kg per ha, which represents a significant amount of food in the household security of the majority impoverished sectors of rural and urban society, and which could greatly impact the socioeconomic activities of the entire populace. The results lead to the conclusion that all extreme dry and wet years are not equal in terms of their regional manifestation. This calls for precise monthly and sub-seasonal local level forecasts and the effective dissemination of this information to farming communities in Cameroon, thereby facilitating the adaptive management of indigenous cropping practices and reducing their vulnerability to climate related disasters.

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Adoption of renewable soil fertility replenishment technologies in the southern African region: Lessons learnt and the way forward

Ajayi¹,

Akinnifesi²,

Sileshi³

et al. 2007

Natural Resources Forum

117

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Low soil fertility is one of the most important biophysical constraints to increasing agricultural productivity in sub-Saharan Africa. Several renewable soil fertility replenishment (RSFR) technologies that are based on nutrient re-cycling principles have been developed in southern Africa. Some success stories have been recorded (e.g. nitrogen-fixing legumes), but the adoption of RSFR technologies has generally lagged behind scientific advances thereby reducing the potential impacts of the technologies. This paper describes the major RSFR technologies being promoted in the region, synthesizes available information regarding their adoption by farmers, and identifies the challenges, key lessons learnt and the way forward for up-scaling RSFR technologies in the region. The review indicated that farmer uptake of RSFR technologies depends on several factors that can be grouped into broad categories: technology-specific (e.g. soil type, management regime), household-specific (e.g. farmer perceptions, resource endowment, household size), policy and institutions context within which RSFR is disseminated (inputs and output prices, land tenure and property rights), and geo-spatial (performance of species across different bio-physical conditions, location of village). Adoption of RSFR technologies can be enhanced by targeting them to their biophysical and social niches, facilitating appropriate policy and institutional contexts for dissemination, understanding the broader context and dynamics of the adoption process, a paradigm shift in the approach to the dissemination of RSFR (e.g. expanding RSFR to high value crop systems, exploring synergy with inorganic fertilizer) and, targeted incentive systems that encourage farmers to take cognizance of natural resource implications when making agricultural production decisions.

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Policy and competitiveness of agroforestry‐based technologies for maize production in Cameroon: An application of policy analysis matrix

Cited by 4 publications

References 7 publications

Profitability and Competitiveness of Rice Farming in Malaysia: A Policy Analysis Matrix

Profitability and Competitiveness of Rice Farming in Malaysia: A Policy Analysis Matrix

Climate variability and maize production in Cameroon: Simulating the effects of extreme dry and wet years

Adoption of renewable soil fertility replenishment technologies in the southern African region: Lessons learnt and the way forward

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