scholarly journals Cambio climático y seguridad alimentaria al 2030: una perspectiva global de la economía en general

2011 ◽  
Vol 11 (1) ◽  
pp. 29 ◽  
Author(s):  
Ernesto Valenzuela ◽  
Kym Anderson

The effects of climate change on agriculture raise major food security concerns. We use a global economy-wide model to assess the effects on farm product prices of expected yield changes. Also modelled is an expected adverse effect of higher temperatures and humidity in the tropics on the productivity of unskilled workers in developing countries. Given the degrees of uncertainty about plausible effects of climate change, our modelling accounts for a range of yield productivity and labor shocks. The results entail consequences for international agricultural prices, national food consumption, self sufficiency, net farm income and economic welfare.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-17
Author(s):  
Mbewe Jacqueline ◽  
Kabwe Harnadih Mubanga

Purpose: Climate change affects local and global rainfall patterns and hence has a counter effect on smallholder agriculture. Impacts of climate change on agriculture are largely due to rainfall variability resulting in reduced yields due to crop-water stress and emergency of pathogens and diseases. In Zambia, climate change has been manifested through increased intensity of droughts and floods. These rainfall anomalies adversely affect agriculture and food systems. In order to survive the impacts of climate change and variability, smallholder farmers in Chongwe have adopted their livelihoods and farming systems to the new climatic patterns.Methodology: This study assessed how smallholder farmers in Chongwe District have adopted their livelihoods as a response to changed climatic conditions. It also investigated the perceptions of smallholder farmers as regards changes in aspects of their climatic conditions. Data collection involved a critical review of literature related to climate change and agriculture, observations, semi- structured interviews with 60 smallholder farmers and eight key informants. The data were analysed using multiple analysis techniques which included the descriptive statistics, One-way analysis of Variance (ANOVA), and the post-hoc Least Square Difference for pairwise comparisons of incomes from different livelihoods engaged in by smallholder farmers .The gendered comparisons of livelihood engagement was done using the chi-square test of association.Findings: The results showed that all farmers perceived occurrence of changes in climatic conditions in the light of changed rainfall patterns in that there has been uncertainty in onset of rains, short rainy season, more intermittent rainfall and increased frequency of intra-seasonal droughts. These changes have led to farmers to adopt such farming techniques as potholing in preference to oxen and tractor ploughing when farming is done on smaller pieces of land. There was a significant difference in the mean annual incomes generated from on-farm livelihoods (ZMW 3677.59; n=58) and off-farm livelihoods (ZMW 6840.91; n = 58) (p= 0.001). Farmers generated the highest income returns by engaging in casual work (ZMW 10307.69; n = 13) compared to every other livelihoods common in the area such as gardening (p=0.002), petty trade (p=0.002) and on-farm livelihoods (p=0.001).Contribution to policy, theory and practice: It was therefore concluded that diversification of income through diversified livelihoods would help smallholder farmers enhance their resilience in the face of changed climatic conditions. On-farm livelihoods should not always be the main income source for farmers as results indicated that farmers engaged in casual work generated higher incomes than those who depended on farming. It was recommended that policy direction should be towards introduction of a gender responsive credit facility that can help improve women’s engagement in off-farm income generating livelihoods, as well as encourage climate change resilience.


Author(s):  
Kamal Melvani ◽  
Bronwyn Myers ◽  
Natarajan Palaniandavan ◽  
Mirjam Kaestli ◽  
Mila Bristow ◽  
...  

AbstractForest gardens (FGs) are tree-dominant land uses in Sri Lankan farming enterprises. Although FG financial performance has been described, their overall contributions to farming enterprises remain unclear. This information is critical given the global quest for financially viable, sustainable agricultural models. Farming enterprises include On-farm (land uses: FGs, paddy, cash crops, plantations, swidden/chena plots, livestock), Off-farm (employment, trading, grants, welfare) and household components. Forest garden financial performance was compared with other enterprise components in short-(reference year, 2012–2013) and long-terms (beyond 2013). Financial data were collected for 85 farming enterprises in nine locations of the Intermediate zone using Household Income and Expenditure surveys and quantified using accounting procedures. In the short-term, 49% of On-farm income was the value of household consumption while 54% of On-farm expense the value of household contributions. FGs contributed 29% to food and fuelwood self-sufficiency, generated the highest profit, were the most financially efficient land use, and average FG profit (Current assets) was greater than enterprise profit. In the long-term, FGs had the highest number of timber and fuelwood species (biological assets). Their average net realisable value (NRV) was 90% of total NRV for biological assets from all land uses. Since FGs occupied 68% of the study area, their substantial biological and land assets had high Non-Current asset values. Average FG Non-Current asset values accounted for 79% of Total Equity and were farmers' core ownership interest in enterprises. Forest gardens increase the financial viability of farming enterprises. Their financial contributions warrant recognition in national economic performance assessments.


2021 ◽  
Author(s):  
Yohannes Kefale Mogess ◽  
Dereje Degu

Abstract Climate change has had a serious effect on farm output, especially in Sub-Saharan Africa. To reduce the effect of climate change farmers require adopting mitigation strategies. Systematic use of crop rotation and improved seed is a pathway to increase farm income, but adoption of these strategies remains low. We investigate the effect of climate change on farm households’ welfare in terms of farm income and explore whether the adoption of crop rotation and improved seed varieties is a strategy to increase household income. In this paper, we use household-plot level data which was collected by World Bank and Central Statistical Agency (CSA) from 2011/12 to 2015/16 from rural farm households in Ethiopia. Using the three-wave panel data, the authors estimate the maximum likelihood endogenous switching regression model (MLESM) to measure the effect of climate change adaption strategies on the farm household’s welfare. The results suggest that the adoption of crop rotation and improved seed varieties helps to improve the well-being of farm households and build a resilient livelihood in rural Ethiopia. Furthermore, beyond average, we find that the effectiveness of crop rotation and improved seed is varied across farm households. Thus, policymakers should consider this heterogeneity and the adoption history of farmers when they aim to improve the practice of crop rotation and improved seed for the particular poor farmers to increase the effectiveness of the strategies.


Author(s):  
Fissha Asmare ◽  
Hailemariam Teklewold ◽  
Alemu Mekonnen

Purpose This study aims to examine the effect of crop diversification (CD), as a climate change adaptation strategy, on farm household’s welfare in terms of farm income and demand for labor. It explores whether adoption of CD is a win-win strategy on household income and demand for on-farm labor. It also examines the determinants of rural household’s net farm income and family labor demand. Design/methodology/approach A household-plot level data were collected in 2015 from 929 rural farm households and 4,778 plots in the Nile Basin of Ethiopia. The data comprise farm and household characteristics accompanied by geo-referenced climate data such as long-term average temperature and amount and variability of growing season rainfall. The authors estimate an endogenous switching regression model to measure the effect of CD on the farm household’s welfare, using net farm income and household labor demand as a welfare indicator. Findings The results indicate heterogeneous effects of climate variables on farm income between adopters and non-adopters of CD. The study also confirms the win-win effect of adoption of CD with a positive and significant effect on farm income and a reduction in demand for on-farm labor. The results suggest that adoption of CD helps improve the well-being of farm households and build a resilient agricultural system. Research limitations/implications As the study used a cross-sectional data, it is limited to show the time effect of practicing CD on the household’s welfare. Originality/value First, the authors investigate, to their knowledge for the first time, the existence of synergy or tradeoff in the effect of CD on two dimensions of rural households’ welfare (net farm income and labor demand). Second, they investigate the heterogeneous effect of climate change adaptation strategies on the farm household’s welfare between adopters and non-adopters. This is unlike previous studies that consider climate change adaptation strategies as having a homogeneous effect. However, this approach is inappropriate since the effect of adaptation strategies is different for adopters and non-adopters.


2020 ◽  
Author(s):  
Rubén D. Manzanedo ◽  
Peter Manning

The ongoing COVID-19 outbreak pandemic is now a global crisis. It has caused 1.6+ million confirmed cases and 100 000+ deaths at the time of writing and triggered unprecedented preventative measures that have put a substantial portion of the global population under confinement, imposed isolation, and established ‘social distancing’ as a new global behavioral norm. The COVID-19 crisis has affected all aspects of everyday life and work, while also threatening the health of the global economy. This crisis offers also an unprecedented view of what the global climate crisis may look like. In fact, some of the parallels between the COVID-19 crisis and what we expect from the looming global climate emergency are remarkable. Reflecting upon the most challenging aspects of today’s crisis and how they compare with those expected from the climate change emergency may help us better prepare for the future.


Author(s):  
Mark Cooper ◽  
Kai P. Voss-Fels ◽  
Carlos D. Messina ◽  
Tom Tang ◽  
Graeme L. Hammer

Abstract Key message Climate change and Genotype-by-Environment-by-Management interactions together challenge our strategies for crop improvement. Research to advance prediction methods for breeding and agronomy is opening new opportunities to tackle these challenges and overcome on-farm crop productivity yield-gaps through design of responsive crop improvement strategies. Abstract Genotype-by-Environment-by-Management (G × E × M) interactions underpin many aspects of crop productivity. An important question for crop improvement is “How can breeders and agronomists effectively explore the diverse opportunities within the high dimensionality of the complex G × E × M factorial to achieve sustainable improvements in crop productivity?” Whenever G × E × M interactions make important contributions to attainment of crop productivity, we should consider how to design crop improvement strategies that can explore the potential space of G × E × M possibilities, reveal the interesting Genotype–Management (G–M) technology opportunities for the Target Population of Environments (TPE), and enable the practical exploitation of the associated improved levels of crop productivity under on-farm conditions. Climate change adds additional layers of complexity and uncertainty to this challenge, by introducing directional changes in the environmental dimension of the G × E × M factorial. These directional changes have the potential to create further conditional changes in the contributions of the genetic and management dimensions to future crop productivity. Therefore, in the presence of G × E × M interactions and climate change, the challenge for both breeders and agronomists is to co-design new G–M technologies for a non-stationary TPE. Understanding these conditional changes in crop productivity through the relevant sciences for each dimension, Genotype, Environment, and Management, creates opportunities to predict novel G–M technology combinations suitable to achieve sustainable crop productivity and global food security targets for the likely climate change scenarios. Here we consider critical foundations required for any prediction framework that aims to move us from the current unprepared state of describing G × E × M outcomes to a future responsive state equipped to predict the crop productivity consequences of G–M technology combinations for the range of environmental conditions expected for a complex, non-stationary TPE under the influences of climate change.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1347
Author(s):  
Kyriakos Maniatis ◽  
David Chiaramonti ◽  
Eric van den Heuvel

The present work considers the dramatic changes the COVID-19 pandemic has brought to the global economy, with particular emphasis on energy. Focusing on the European Union, the article discusses the opportunities policy makers can implement to reduce the climate impacts and achieve the Paris Agreement 2050 targets. The analysis specifically looks at the fossil fuels industry and the future of the fossil sector post COVID-19 pandemic. The analysis first revises the fossil fuel sector, and then considers the need for a shift of the global climate change policy from promoting the deployment of renewable energy sources to curtailing the use of fossil fuels. This will be a change to the current global approach, from a relative passive one to a strategically dynamic and proactive one. Such a curtailment should be based on actual volumes of fossil fuels used and not on percentages. Finally, conclusions are preliminary applied to the European Union policies for net zero by 2050 based on a two-fold strategy: continuing and reinforcing the implementation of the Renewable Energy Directive to 2035, while adopting a new directive for fixed and over time increasing curtailment of fossils as of 2025 until 2050.


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.


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