The influence of gender and product design on farmers’ preferences for weather-indexed crop insurance

Theoretically, weather-index insurance is an effective risk reduction option for small-scale farmers in low income countries. Renewed policy and donor emphasis on bridging gender gaps in development also emphasizes the potential social safety net benefits that weather-index insurance could bring to women farmers who are disproportionately vulnerable to climate change risk and have low adaptive capacity. To date, no quantitative studies have experimentally explored weather-index insurance preferences through a gender lens, and little information exists regarding gender-specific preferences for (and constraints to) smallholder investment in agricultural weather-index insurance. This study responds to this gap, and advances the understanding of preference heterogeneity for weather-index insurance by analysing data collected from 433 male and female farmers living on a climate change vulnerable coastal island in Bangladesh, where an increasing number of farmers are adopting maize as a potentially remunerative, but high-risk cash crop. We implemented a choice experiment designed to investigate farmers’ valuations for, and trade-offs among, the key attributes of a hypothetical maize crop weather-index insurance program that offered different options for bundling insurance with financial saving mechanisms. Our results reveal significant insurance aversion among female farmers, irrespective of the attributes of the insurance scheme. Heterogeneity in insurance choices could however not be explained by differences in men’s and women’s risk and time preferences, or agency in making agriculturally related decisions. Rather, gendered differences in farmers’ level of trust in insurance institutions and financial literacy were the key factors driving the heterogeneous preferences observed between men and women. Efforts to fulfill gender equity mandates in climate-smart agricultural development programs that rely on weather-index insurance as a risk-abatement tool are therefore likely to require a strengthening of institutional credibility, while coupling such interventions with financial literacy programs for female farmers.     

Measuring household vulnerability to climate change—Why markets matter

Climate change and climate variability affect households in developing countries both directly through their impact on crop yields and indirectly through their impact on wages, food prices and the livelihoods of the poor. Therefore, vulnerable household groups cannot be identified without considering their position in and access to markets. I illustrate the effects – transmitted through markets – that are significant in household exposure, sensitivity and adaptive capacity to climate change by simulating productivity shocks to maize up to 2030 due to climate change in a computable general equilibrium model of Malawi. The results show that rural households with large land holdings may benefit from the adverse impact of climate change on maize yields as a result of increased maize prices. Urban poor and small-scale farmers are vulnerable to climate change due to the large portion of their incomes spent on food. Existing vulnerability measures that do not consider equilibrium effects and characterise all farmers as vulnerable may therefore be misleading.     

Adaptation to climate change in Uganda: Evidence from micro level data

This study employed data from the 2005/06 Uganda national household survey to identify adaptation strategies and factors governing their choice in Uganda's agricultural production. Factors that mediate or hinder adaptation across different shocks and strategies include age of the household head, access to credit and extension facilities and security of land tenure. There are also differences in choice of adaptation strategies by agro-climatic zone. The appropriate policy level responses should complement the autonomous adaptation strategies by facilitating technology adoption and availing information to farmers not only with regard to climate related forecasts but available weather and pest resistant varieties.     

The impact of weather variations on maize yields and household income: Income diversification as adaptation in rural China

Climate change is threatening global food production and could potentially exacerbate food insecurity in many parts of the world. China is the second largest maize producer. Variations in maize yields in China are likely to have major implications for food security in the world. Based on longitudinal data of 4861 households collected annually between 2004 and 2010, we assess the impact of weather variations on maize yields in the two main producing regions in China, the Northern spring maize zone and the Yellow-Huai Valley summer maize zone. We also explore the role of adaptation, by estimating the response of Chinese farmers in both regions, in particular in terms of income diversification. With the use of household and time fixed effects, our estimates relate within-household variations in household outcomes (maize yields, net income, land and input use) to within-location variations in weather conditions. Temperature, drought, wet conditions, and precipitations have detrimental effects on maize yields in the two maize zones. The impact is stronger in the Northern spring maize zone where one standard deviation in temperature and drought conditions decreases maize yields by 1.4% and 2.5%, respectively. Nonetheless, such impact does not seem to translate into a significant fall in total net income. Adaptation seems to be key in explaining such a contrast in the Northern spring maize zone where the largest impact is estimated. On the contrary, we find a lower impact in the other region, the Yellow-Huai Valley summer maize zone but such impact is likely to intensify. The lack of adaptation observed in that region results into detrimental impacts on net farm and total income. Enhancing adaptative behaviors among Chinese farmers even further is likely to be key to future food security in China and in the rest of the world.     

Risk perception and decision-making: do farmers consider risks from climate change?

This paper provides one of the first empirical studies that examine the impact of climate change adaptation practices on technical efficiency (TE) among smallholder farmers in Nepal. An adaptation index is used to explore the impact of farmers’ adaptation on TE using the stochastic frontier analysis framework. Data for six districts of Nepal representing all three agro-ecological regions (terai, hill, and mountain) were collected from a focus group discussion, a stakeholder workshop and a household survey. The survey shows that about 91% of the farming households have adopted at least one practice to minimize the adverse impacts of climate change. Empirical results reveal that adaptation is an important factor explaining efficiency differentials among farming households. Those adopting a greater number of adaptation practices on a larger scale are, on average, found to be 13% more technically efficient than those adopting fewer practices on smaller scale. The empirical results also show that average TE is only 0.72, indicating that there are opportunities for farming households in Nepal to further improve productive efficiency, on average by 28%. Other important factors that explain variations in the productive efficiency across farming households include farmer’s education level, irrigation facilities, market access, and social capital such as farmer’s participations in relevant agricultural organizations and clubs. This study provides empirical evidence to policy makers that small scale adjustments made by farmers in response to climate change impacts are effective in improving farmers’ efficiency in agriculture production. This indicates a need for farmers’ involvement in climate change adaptation planning.     

Adaptation to climate change and variability: farmer responses to intra-seasonal precipitation trends in South Africa

We describe the nature of recent (50 year) rainfall variability in the summer rainfall zone, South Africa, and how variability is recognised and responded to on the ground by farmers. Using daily rainfall data and self-organising mapping (SOM) we identify 12 internally homogeneous rainfall regions displaying differing parameters of precipitation change. Three regions, characterised by changing onset and timing of rains, rainfall frequencies and intensities, in Limpopo, North West and KwaZulu Natal provinces, were selected to investigate farmer perceptions of, and responses to, rainfall parameter changes. Village and household level analyses demonstrate that the trends and variabilities in precipitation parameters differentiated by the SOM analysis were clearly recognised by people living in the areas in which they occurred. A range of specific coping and adaptation strategies are employed by farmers to respond to climate shifts, some generic across regions and some facilitated by specific local factors. The study has begun to understand the complexity of coping and adaptation, and the factors that influence the decisions that are taken.     

Gender and the environment. Women's time use as a measure of environmental change.

These case studies pertain to marginal dry land rural areas in developing countries. The evidence suggests that women have shorter rest periods, greater intensity and fragmentation of work, and greater use of multiple simultaneous occupations than men. Macroeconomic policies have increased the work burden for women and for the poorest populations and have contributed to environmental deterioration. This paper focuses on women's use of time as a factor in explaining women's changing gender role under conditions of environmental stress. The women and the environment debate encompasses two philosophical positions. The ecofeminist theory is that women are one with nature and are unlike men, who manipulate and exploit the environment. The other theory posits that women are managers of the environment and should be approached as separate groups. The developmentalist improves on theory by offering the view that there are differences in resource allocation, entitlements, and responsibilities. The case studies deny that women's roles are fixed and generalized. The case study in Sri Lanka reveals that the Mahaweli irrigation and settlement project brought widespread deforestation and forced women to spend more time and energy in seeking fuel wood. Women adjusted to the changes by reducing the number of trips for wood, increasing the amount of the load, and involving men in the process. The number of families who switched to alternative cooking methods increased. During the dry season more of women's time is spent in washing clothes and cleaning the house. Kitchen gardening is only a wet season activity. A Burkina Faso study found that the average daily hours of work for women was 10.6 in the wet season and 12.4 in the dry season in 1991. In the Caribbean, life revolves around crop and no-crop time. Multiple job holding is a common strategy for small farmers. Gender division of labor and time use are determined by household, local context, family structure, and stage in the life cycle.     

The potential impacts of climate change on maize production in Africa and Latin America in 2055

The impacts of climate change on agriculture may add significantly to the development challenges of ensuring food security and reducing poverty. We show the possible impacts on maize production in Africa and Latin America to 2055, using high-resolution methods to generate characteristic daily weather data for driving a detailed simulation model of the maize crop. Although the results indicate an overall reduction of only 10% in maize production to 2055, equivalent to losses of $2 billion per year, the aggregate results hide enormous variability: areas can be identified where maize yields may change substantially. Climate change urgently needs to be assessed at the level of the household, so that poor and vulnerable people dependent on agriculture can be appropriately targeted in research and development activities whose object is poverty alleviation.     

春玉米产量动态预报技术的改进方法探索

为及时、准确地进行玉米产量预报,为吉林省玉米产量预报业务提供参考依据,为政府调控提供科技支撑,利用吉林省19802016年春玉米产量和50个气象站逐日气温、降水量、日照时数等资料,基于相似距离和相关系数构建综合诊断指标筛选气温、降水量、日照时数等各类气象要素历史相似年,根据各类气象要素历史相似年与预报年的玉米产量丰歉气象影响指数之间的关系,建立吉林省春玉米产量动态预报模型。同时,对历史相似年的筛选方法进行改进,利用欧氏距离直接筛选综合气候历史相似年,根据气候历史相似年与预报年的玉米产量丰歉气象影响指数之间的关系,构建春玉米产量预报模型。对比改进前、后的产量预报模型的预报,结果表明:两种方法在吉林省玉米单产预报中,预报准确率均较高,普遍在85%以上。产量预报模型对20022013年的预报检验结果表明,改进方法后20022013年单产预报平均准确率提高了3.9个百分点,均方根误差降低了4个百分点,标准差降低了2。对20142016年的预报检验结果表明,改进方法的玉米产量预报结果优于传统方法的预报结果。改进方法比传统方法准确率更高,稳定性更强,应用价值更高。     

The benefits of recent warming for maize production in high latitude China

Latitudes above 45°N have been characterized by rates of warming faster than the global average since 1980. However, the effects of this warming on crop production at these latitudes are still unclear. Using 30-years of weather and crop management data in Heilongjiang area of China (43.4° to 53.4°N), combined with the Hybrid-Maize model, we show that that maize yields would have stagnated in most areas and decreased in the southern part of Heilongjiang if varieties were assumed fixed since 1980. However, we show that through farmers’ adaptation, warming has benefitted maize production for much of this region. Specifically, farmers gradually chose longer maturing varieties, resulting in a net 7–17 % yield increase per decade. Meanwhile, farmers also rapidly expanded maize area (from 1.88 million ha in 1980 to 4.01 million ha in 2009) and the northward limit of maize area shifted by more than 290 km from ~50.8°N to ~53.4°N. Overall, benefits from warming represented 35 % of the overall yield gains in the region over this period. The results indicate substantial ongoing adaptations and benefits at north high-latitudes, although they still represent a small fraction of global maize area. The sustainability of crop area expansion in these regions remains unclear and deserves further study.     

锦州地区春玉米物候变化趋势及其与水热条件的关系

利用1980—1984年和2004—2020年锦州市农业气象观测站春玉米物候观测资料和气象观测资料,采用趋势系数、倾向率、相关分析和通径分析等方法,分析了锦州市春玉米生育期长度和水热条件的变化趋势,并探讨了锦州市春玉米生育期长度与水热条件的关系。结果表明：1980—1984年和2004—2020年锦州地区春玉米各生育期长度变化趋势不同,除抽雄期、成熟期和生殖生长期外,其他生育期长度均呈缩短的趋势。营养生长期长度极显著缩短,生殖生长期长度极显著延长,因此全生育期呈弱的延长趋势,变化不明显。春玉米各生育期水热条件变化趋势不同,热量条件变化显著,而水分条件变化不显著,多数生育期≥10℃活动积温(DT10)和生长度日(GDD)呈增加的趋势,其中抽雄期、成熟期和生殖生长期、全生育期热量条件呈极显著增加趋势,表明热量条件对春玉米生长发育影响最大。相关分析和通径分析表明,DT10和GDD对春玉米生育期长度影响最大,水分条件对春玉米生育期长度影响较小,其中出苗期、成熟期和全生育期长度与水分条件相关显著。可见,锦州地区水热因子之间相互制约、相互影响,共同影响春玉米的整个生育期。     

陕北黄土丘陵沟壑区农户气候变化的适应行为及影响因素分析

从农户个体微观视角,研究农业的活动主体--农户的气候变化适应行为。选择陕北黄土丘陵沟壑区,采用问卷调查和半结构式访谈相结合的方法研究农户气候变化感知与适应行为,运用二元逻辑回归模型分析影响该地区农户适应行为的因素。结果表明：农户对气候变化趋势感知比较一致,认为近5 年夏季和冬季气温升高,降水减少,但与实际观测存在一定偏差。农户应对气候变化采取适应行为的比重并不高,只有57.8% 的农户表示采取了相应的措施来应对气候变化。农户适应行为受气候变化感知的影响,此外,家庭社会经济属性对农户采取适应行为的概率影响显著,而性别、年龄、文化程度等人口属性因素与农户采取适应行为的概率关系不大。     

Enabling adaptation? Lessons from the new ‘Green Revolution’ in Malawi and Kenya

This article explores the extent to which efforts to improve productivity of smallholder agriculture through a new ‘Green Revolution’ in Sub Saharan Africa are likely to enhance the capacity of smallholder farmers to adapt to the impacts of climate change. Drawing on empirical material from Malawi and Kenya, the paper finds more conflicts than synergies between the pursuit of higher productivity through the promotion of hybrid maize adoption and crop diversification as a strategy for climate change adaptation. This is despite an oft-assumed causal link between escape from the ‘low maize productivity trap’ and progression towards crop diversification as an adaptive strategy. In both countries, a convergence of interests between governments, donors and seed companies, combined with a historical preference for, and dependence on maize as the primary staple, has led to a narrowing of options for smallholder farmers, undermining the development of adaptive capacities in the longer term. This dynamic is linked to the conflation of market-based variety of agricultural technologies, as viewed ‘from the top down’, with diversity-in-context, as represented by site-specific and locally derived and adapted technologies and institutions that can only be developed ‘from the bottom up’.     

Climate change and the agricultural sector in Ireland: examining farmer awareness and willingness to adopt new advisory mitigation tools

Agriculture is responsible for the bulk of Ireland’s greenhouse gas (GHG) emissions. However, the potential to mitigate some of these emissions through the adoption of more efficient farm management practices may be hampered by farmers’ awareness and attitude towards climate change and agriculture’s role in contributing to GHG emissions. This paper presents results from a survey of 746 Irish farmers in 2014, with a view to understanding farmers’ awareness of, and attitudes to, climate change and GHG emissions. Survey results show that there was a general uncertainty towards a number of questions related to agricultural GHG emissions, e.g. if tilling of land causes GHG emissions, and that farmers were reluctant to take action to reduce GHG emissions on their farm. To further explore farmers’ attitudes towards climate change, a multinomial logit model was used to examine the socio-economic factors that affect farmers’ willingness to adopt an advisory tool that would show the potential reduction in GHG emissions from the adoption of new technologies. Results show that farmers’ awareness of human-induced global climate change was positively related to the tool’s adoption.

Key policy insights

• Irish farmers are generally not sufficiently aware of the impact of their activities on climate change.

• A quarter of farmers believed that climate change will only impact on their business in the long-term; such an attitude may lead to a reluctance amongst these farmers to adopt management practices that reduce GHG emissions.

• Awareness of climate change affects positively the adoption of new tools to reduce GHG emissions on farmers’ farms.

• IT literacy affects willingness to adopt new tools to address GHG emissions.

• Reception of agri-environmental advice can have a positive influence on farmers’ willingness to adopt new GHG emission abatement tools.

• Farmers in receipt of environmental subsidies are more likely to adopt new abatement tools, either because they are more environmentally conscious or because the subsidy raised their environmentally consciousness.

• Willingness to adopt differs between different farm enterprises; operating dairy enterprise increases the willingness to adopt new advisory mitigation tools.

     

Irrigation as adaptation strategy to climate change��a biophysical and economic appraisal for Swiss maize production

The impact of climate change on Swiss maize production is assessed using an approach that integrates a biophysical and an economic model. Simple adaptation options such as shifts in sowing dates and adjustments of production intensity are considered. In addition, irrigation is evaluated as an adaptation strategy. It shows that the impact of climate change on yield levels is small but yield variability increases in rainfed production. Even though the adoption of irrigation leads to higher and less variable maize yields in the future, economic benefits of this adoption decision are expected to be rather small. Thus, no shift from the currently used rainfed system to irrigated production is expected in the future. Moreover, we find that changes in institutional and market conditions rather than changes in climatic conditions will influence the development of the Swiss maize production and the adoption of irrigation in the future.     

Policy support,social capital,and farmers’ adaptation to drought in China

Increasingly severe drought has not only threatened food security but also resulted in massive socio-economic losses. In the face of increasingly serious drought conditions, the question of how to mitigate its impacts through appropriate measures has received great attention. The overall goal of this study is to examine the influence of policies and social capital on farmers’ decisions to adopt adaptation measures against drought. The study is based on a large-scale household and village survey conducted in six provinces nationwide. The survey results show that 86% of rural households have taken adaptive measures to protect crop production against drought, most of which are non-engineering measures. In the case of non-engineering measures, changing agricultural production inputs and adjusting seeding or harvesting dates are two popular options. A multivariate regression analysis reveals that government policy support against drought such as releasing early warning information and post-disaster services, technical assistance, financial and physical supports have significantly improved farmers’ ability to adapt to drought. However, since only 5% of villages benefited from such supports, the government in China still has significant room to implement these assistances. Moreover, having a higher level of social capital in a farm household significantly increases their adaptation capacity against drought. Therefore, the government should pay particular attention to the farming communities, and farmers within a community who have a low level of social capital. Finally, farmers’ ability to adapt to drought is also associated with the characteristics of their households and local communities. The results of this study also have implications for national adaptation plans for agriculture under climate change in other developing countries.     

Climate Change, Agriculture, and Water Quality in the Chesapeake Bay Region

Research on climate change and agriculture has largely focused on production, food prices, and producer incomes. However, societal interest in agriculture is much broader than these issues. The objective of this paper is to analyze the potential impacts of climate change on an important negative externality from agriculture, water quality. We construct a simulation model of maize production in twelve watersheds within the U.S. Chesapeake Bay Region that has economic and watershed components linking climate to productivity, production decisions by maize farmers, and nitrogen loadings delivered to the Chesapeake Bay. Maize is an important crop to study because of its importance to the region's agriculture and because it is a major source of nutrient pollution. The model is run under alternative scenarios regarding the future climate, future baseline (without any climate change), whether farmers respond to climate change, whether there are carbon dioxide (CO₂) enrichment effects on maize production, and whether agricultural prices facing the region change due to climate change impacts on global agricultural commodity markets. The simulation results differ from one scenario to another on the magnitude and direction of change in nitrogen deliveries to the Chesapeake Bay. The results are highly sensitive to the choice of future baseline scenario and to whether there are CO₂ enrichment effects. The results are also highly sensitive to assumptions about the impact of climate change on commodity prices facing farmers in the Chesapeake Bay region. The results indicate that economic responses by farmers to climate change definitely matter. Assuming that farmers do not respond to changes in temperature, precipitation, and atmosphericCO₂ levels could lead to mistaken conclusions about the magnitude and direction of environmental impacts.     

Smallholder farmers’ participation in climate change adaptation programmes: understanding preferences in Nepal

Globally, adaptation policies and programmes are being formulated to address climate change issues. However, in the agricultural sector, and particularly in least developed countries (LDCs), concerns remain as to whether these policies and programmes are consistent with farmers’ preferences. This study empirically investigates Nepalese farmers’ willingness to support the implementation of adaptation programmes. To this end, we first developed suggested adaptation programmes in accordance with the adaptation measures identified by LDCs in their National Adaptation Programmes of Actions. We then employed a choice experiment framework to estimate farmers’ willingness to pay (WTP) for adaptation benefits. The findings indicate that the substantial benefits of the adaptation programmes for farmers result in a sizeable WTP to participate, which would appear to justify the programmes’ widespread implementation.

Key policy insights

• Farmers are willing to participate in, and contribute to, the suggested adaptation programmes in the form of increased access to climate adaptive crop species and varieties, improved soil quality and irrigation and the provision of training in climate adaptive farming.

• Key socio-economic factors influence farmers’ support of adaptation programmes. Older farmers, those households closer to government extension services, larger land holders, those involved in household labour exchange, farmers located in drought and flood-prone regions and those who perceive that the climate has changed are more likely to participate.

• The more farmers are aware of climate change impacts, the greater their preference for adaptation programmes. Increasing farmer awareness prior to implementation of such programmes is therefore an obvious means of further raising participation rates.

     

Farmer perceptions of climate change: Associations with observed temperature and precipitation trends,irrigation, and climate beliefs

How individuals perceive climate change is linked to whether individuals support climate policies and whether they alter their own climate-related behaviors, yet climate perceptions may be influenced by many factors beyond local shifts in weather. Infrastructure designed to control or regulate natural resources may serve as an important lens through which people experience climate, and thus may influence perceptions. Likewise, perceptions may be influenced by personal beliefs about climate change and whether it is human-induced. Here we examine farmer perceptions of historical climate change, how perceptions are related to observed trends in regional climate, how perceptions are related to the presence of irrigation infrastructure, and how perceptions are related to beliefs and concerns about climate change. We focus on the regions of Marlborough and Hawke’s Bay in New Zealand, where irrigation is utilized on the majority of cropland. Data are obtained through analysis of historical climate records from local weather stations, interviews (n = 20), and a farmer survey (n = 490). Across both regions, no significant historical trends in annual precipitation and summer temperatures since 1980 are observed, but winter warming trends are significant at around 0.2–0.3 °C per decade. A large fraction of farmers perceived increases in annual rainfall despite instrumental records indicating no significant trends, a finding that may be related to greater perceived water availability associated with irrigation growth. A greater fraction of farmers perceived rainfall increases in Marlborough, where irrigation growth has been most substantial. We find those classes of farmers more likely to have irrigation were also significantly more likely to perceive an increase in annual rainfall. Furthermore, we demonstrate that perceptions of changing climate – regardless of their accuracy – are correlated with increased belief in climate change and an increased concern for future climate impacts. Those farmers that believe climate change is occurring and is human induced are more likely to perceive temperature increases than farmers who believe climate change is not occurring and is not human induced. These results suggest that perceptions are influenced by a variety of personal and environmental factors, including infrastructure, which may in turn alter decisions about climate adaptation.     

Decomposing the cascade of uncertainty in risk assessments for urban flooding reflecting critical decision-making issues

We analyze the response of Kenyan maize yields to near-term climate change and explore potential mitigation options. We model county level yields as a function of rainfall and temperature during a period of increased regional warming and drying (1989–2008). We then do a counter factual analysis by comparing existing maize yields from 2000 to 2008 to what yields might have been if observed warming and drying trends had not occurred. We also examine maize yields based on projected 2026–2040 climate trends. Without the observed warming and drying trends, Eastern Kenya would have had an 8% increase in maize yields, which in turn would have led to a net production increase of 500,000 metric tons. In Western Kenya, the magnitude of change is higher but the relative changes in predicted values are smaller. If warming and drying trends continue, we expect future maize yields to decline by 11% in Eastern Kenya (vs. 7% in Western Kenya). We also examine whether these future losses might be offset through agricultural development. For that analysis, we use a household panel dataset (2000, 2005) with measurements of individual farm plot yields, inputs, and outputs. We find that under a scenario of aggressive adoption of hybrid seeds and fertilizer usage coupled with warming and drying trends, yields in Western Kenya might increase by 6% while those in Eastern Kenya could increase by 14%. This increase in yields might be larger if there is a corresponding increase in usage of drought-tolerant hybrids. However, wide prediction intervals across models highlight the uncertainty in these outcomes and scenarios.