Climate change reduces the mitigation obtainable from sequestration in an Australian farming system

Agricultural research on climate change generally follows two themes: (i) impact and adaptation or (ii) mitigation and emissions. Despite both being simultaneously relevant to future agricultural systems, the two are usually studied separately. By contrast, this study jointly compares the potential impacts of climate change and the effects of mitigation policy on farming systems in the central region of Western Australia’s grainbelt, using the results of several biophysical models integrated into a whole‐farm bioeconomic model. In particular, we focus on the potential for interactions between climate impacts and mitigation activities. Results suggest that, in the study area, farm profitability is much more sensitive to changes in climate than to a mitigation policy involving a carbon price on agricultural emissions. Climate change reduces the profitability of agricultural production and, as a result, reduces the opportunity cost of reforesting land for carbon sequestration. Nonetheless, the financial attractiveness of reforestation does not necessarily improve because climate change also reduces tree growth and, therefore, the income from sequestration. Consequently, at least for the study area, climate change has the potential to reduce the amount of abatement obtainable from sequestration – a result potentially relevant to the debate about the desirability of sequestration as a mitigation option.     

The potential impact of climate change on Taiwan's agriculture

This paper intends to estimate the potential impact of climate change on Taiwan's agricultural sector. Yield response regression models are used to investigate the climate change's impact on 60 crops. A price‐endogenous mathematical programming model is then used to simulate the welfare impacts of yield changes under various climate change scenarios. Results suggest that both warming and climate variations have a significant but non‐monotonic impact on crop yields. Society as a whole would not suffer from warming, but a precipitation increase may be devastating to farmers.     

Utilising farm-level panel data to estimate climate change impacts and adaptation potentials

We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.     

Projecting future crop productivity for global economic modeling

Assessments of climate change impacts on agricultural markets and land‐use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land‐use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10–38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change.     

Payments for environmental services to promote “climate‐smart agriculture”? Potential and challenges

Payments for environmental services (PES) have gained wide popularity as approaches to promote environmentally friendly land use or agricultural production practices. Yet academics have also voiced concerns against seeing PES as a panacea. This article discusses whether PES is an appropriate and promising approach to promote so‐called “climate‐smart agriculture” (CSA) practices, which we define as agricultural production practices that contribute to CO₂ emission reductions and/or removals and provide benefits to farmers via increased productivity and profits and reduced vulnerability to climate change. PES appears most promising for the promotion of CSA practices in small‐scale farming contexts with low incomes. Effective design, however, requires solid estimates of cost and benefit flows from CSA adoption over time, accounting for differences in socioeconomic and ecological conditions, and addressing the risk of leakage. Funding for such PES will likely have to come from public sources, and seems most promising where synergies with other objectives such as agricultural development, food security, and climate adaptation or other environmental services exist. The potential of alternative approaches for CSA support such as taxation with rebates for CSA practices, CSA‐related investment support such as microcredits, and hybrid approaches such as conditional microcredit should be further investigated.     

Adaptation in agriculture: historic effects of heat waves and droughts on UK agriculture

Extreme weather events are expected to increase in frequency and/or severity under climate change. Recent examples of these types of events, such as the heat wave in Europe in 2003, have caused considerable damage to crops and agriculture and substantial economic damage. If similar damage was incurred every time such an event occurred in the future, it would cause increasingly serious loss to social welfare and the economy as the frequency or intensity of these events increased. However, agriculture has a history of adapting to shocks, and in this paper we aim to determine whether there has been a systematic reduction in damage from historic extreme events over time in the agricultural sector in the UK. The impact of comparable droughts or heat waves over the past four decades is compared, and for many commodities there appears to have been a reduction in damage over time, to the point where recent events have had a minimal impact on production, indicating that the sector is relatively well adapted to the current climate. We discuss whether this type of adaptation can be sustained into the future under more rapid rates of change, or whether the ‘low-hanging’ fruits of adaptation have been picked.     

Agent‐based Modelling of Climate Adaptation and Mitigation Options in Agriculture

Computer simulation models can provide valuable insights for climate‐related analysis and help streamline policy interventions for improved adaptation and mitigation in agriculture. Computable general equilibrium (CGE) and partial equilibrium (PE) models are currently being expanded to include land‐use change and energy markets so that the effects of various policy measures on agricultural production can be assessed. Agent‐based modelling (ABM) or multi‐agent systems (MAS) have been suggested as a complementary tool for assessing farmer responses to climate change in agriculture and how these are affected by policies. MAS applied to agricultural systems draw on techniques used for Recursive Farm Programming, but include models of all individual farms, their spatial interactions and the natural environment. In this article, we discuss the specific insights MAS provide for developing robust policies and land‐use strategies in response to climate change. We show that MAS are well‐suited for uncertainty analysis and can thereby complement existing simulation approaches to advance the understanding and implementation of effective climate‐related policies in agriculture.     

The Local Impacts of Agricultural Subsidies: Evidence from the Canadian Prairies

We estimate the impact of removing an export subsidy on the local economies of Alberta, Saskatchewan and Manitoba, exploiting the large regional variation of a 1995 reform. We find that the loss of the subsidy resulted in significantly lower farm value‐added, farm asset values and local non‐farm employment. The results suggest that the subsidy removal had detrimental spillover effects on the local non‐agricultural economy that varied spatially across the Prairies. The point estimates suggest that the marginal effect of the subsidy loss on non‐agricultural employment was five times as large as those obtained from traditional estimates of the multiplier effect.     

State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.     

Does social capital matter in climate change adaptation? A lesson from agricultural sector in Yogyakarta,Indonesia

Climate change increases the vulnerability of agricultural sector due to the increasing threat from pest attacks. Mitigation of a threat that results from climate change requires adaptation strategies. This study investigates farmers’ willingness to participate in the process of climate change adaptation in Yogyakarta, Indonesia; particularly in facing the increasing risk of pest attacks. Using a logistic regression model, we tested the impacts of social capital on farmers’ willingness to participate. The results showed that 70% of farmers were willing to contribute financially to the adaptation process. This participation was positively correlated with high social capital, which consists of high level of trust, community engagement, and personal relations with people in other villages. This study contributes to the literature by highlighting the potential roles of social capital in the process of climate change adaptation in agricultural sector.     

US agricultural exports and labor market adjustments

This study empirically investigates the impact of US agricultural exports on farm and nonfarm employment and tests how individuals adjust to agricultural export shocks. Based on the data from 1991 to 2017 and a Bartik-style instrument that exploits cross-regional variation in agricultural export exposure stemming from initial differences in agricultural specialization and temporal variation in predicted US exports from exogenous tariff reductions, we find that a 1% increase in agricultural exports increases farm employment by 0.302% and has no statistically significant impact on nonfarm employment. The individual-level analysis shows that, in response to positive agricultural export demand shocks, natives with a college degree are more likely to become self-employed and start farm activities and while non-natives without a college degree are more likely to become hired farmworkers. A back-of-the-envelope calculation based on the estimates of agricultural trade elasticities of employment shows that on balance, job gains due to US agricultural exports are slightly larger than job loss due to agricultural imports, resulting in a net gain of around 0.24 million farm jobs over 1991–2017.     

Evidence of climate change impacts on crop comparative advantage and land use

Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop-specific yield–weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, that is, alfalfa, wheat, soybeans, and maize. We define crop profits as a function of the weather-driven yields, which are then used to model land use allocation decisions. This ultimately allows us to simulate the impact of climate change under the RCP4.5 emissions scenario on land allocated to the region's major crops as well as to grass/pasture. Upon removing the trends effects in yields, climate change is projected to lower yields by 33–64% over 2031–2055 relative to 1981–2005, with soybean being the least and alfalfa the most affected crops. Yield projections applied to the land use model at present-day input costs and output prices reveals that Dakotas’ grass acreage will increase by up to 23%, displacing croplands. Wheat acreage is expected to increase by up to 54% in select southeastern counties of North Dakota and South Dakota, where maize/soy acreage had increased by up to 58% during 1995–2016.     

Climate precarity in rural livelihoods: Agrarian transformations and smallholder vulnerability in Vietnam

In recent decades, agrarian transformations in Southeast Asia have resulted in significant environmental and social change, yet insufficient attention has focused on the particular pathways by which these changes have increased vulnerability to climate change. In particular, climate precarity, a situation in which class, social, labour and/or gender inequities amplify negative impacts from climate change, has been on the rise for many smallholders. Using case studies in Vietnam of changes to swidden agriculture in upland areas and the loss of deepwater rice systems in the Mekong Delta lowlands, the paper examines social differentiation and ecological outcomes of these processes and how they have increased climate precarity, particularly for poor households and women. Based on longitudinal fieldwork in affected regions, we identify key changes contributing to climate precarity as farming systems intensify. In particular, loss of flexibility in farmer decision-making, loss of voluntary engagement with markets, and declining access to social capital and entitlements have increased risks for households and reduced adaptation options. Suggestions are made to more directly address these elements in future agricultural and climate policies, rather than current approaches to climate adaptation that often promote even more intensification of agriculture, which runs the risk of exacerbating precarity.     

Farmers’ constraints,governmental support and climate change adaptation: Evidence from Guangdong Province,China

While climate change is widely acknowledged, the role of government support in adaptation is less understood. We narrow this knowledge gap by modelling adaptation as a three‐stage process where a farmer sequentially decides: (i) whether there is a need for adaptation; (ii) whether there are constraints that prevent adaptation; and (iii) whether such constraints are removed through government support. We develop a triple‐hurdle model to describe this decision‐making process and empirically estimate the impact of government support using a rural household survey from Guangdong Province, China. It is found that government support is positively associated with raising the odds of adaptation by about one quarter. This magnitude is larger than the estimates in recent literature, suggesting government support is more effective for farmers bound by constraints. Therefore, for cost‐effective policy outcomes there is a need to identify the constraints and the farmers facing them.     

Determinants of climate change adaptation strategies and its impact on the net farm income of rice farmers in south-west Nigeria

A multivariate probit (MVP) model was used to analyse the determinants of strategies adopted for adapting to climate change in a sample of smallholder rice farmers in south-west Nigeria. An efficient endogenous switching regression model (ESRM) was used to estimate the impact of climate change adaptation strategy on the net income of rice farmers. The MVP results show that the socio-economic factors, the institutional factors, and locational variables of some households statistically influenced the choice of climate change adaptation strategies employed. Complementarities among all the adaptation strategies used by the farmers were revealed by the positive pair-wise correlation matrix of the MVP model. The study also indicated that farmers affected by prolonged drought and incidences of flood were more likely to adopt adaptation strategies on their farmlands. The ESRM treatment effect indicated that the average net income per rice farm of those who adopted the strategies was significantly higher than that of those who did not. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations related to agricultural extension systems and climate change education through information and communication technologies. This investment in education is essential for development and would encourage farmers to adopt appropriate climate change adaptation strategies.     

Understanding the adoption of climate change adaptation strategies among smallholder farmers: Evidence from land reform beneficiaries in South Africa

Climatic change has a negative impact on people’s livelihoods, agriculture, freshwater supply and other natural resources that are important for human survival. Therefore, understanding how rural smallholder farmers perceive climate change, climate variability, and factors that influence their choices would facilitate a better understanding of how these farmers adapt to the negative impacts of climate change. A Zero-inflated double hurdle model was employed to estimate the factors influencing farmers’ adoption of adaptation strategies and intensity of adoption at the household level in South Africa. Different socioeconomic factors such as gender, age, and experience in crop farming, institutional factors like access to extension services, and access to climate change information significantly influenced the adoption of climate change adaptation strategies among beneficiaries of land reform in South Africa. Concerning intensity of adoption, age, educational level, farming experience, on-farm training, off-farm income, access to information through ICT and locational variables are the significant determinants of intensity of adaptation strategies. Thus, education attainment, non-farm employment, farming experience are significant incentives to enhance smallholder farmers' adaptive capacity through the adoption of many adaptation approaches. This study therefore concluded that farm-level policy efforts that aim to improve rural development should focus on farmers’ education, on-farm demonstration and non-farm employment opportunities that seek to engage the farmers, particularly during the off-cropping season. The income from non-farm employment can be plough-back into farm operations such as the adoption of soil and water conservation, use of improved planting varieties, insurance, among others to mitigate climate variability and subsequently increase productivity. Policies and investment strategies of the government should be geared towards supporting education, providing on-farm demonstration trainings, and disseminating information about climate change adaptation strategies, particularly for smallholder farmers in the country. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations around the agricultural extension system and education on climate change using information and communication technologies.     

The interaction of speculators and index investors in agricultural derivatives markets

Through the analysis of the weekly Commodity Futures Trading Commission reports on 12 US traded agricultural commodities, we revisit the heated debate on the impact of index flows on commodities prices. After introducing a novel stock‐to‐use proxy that may be used to represent inventory variations at the intra‐month level, we show that speculators, contrary to index investors, are sensitive to commodity‐specific fundamental information. Their endogeneity to commodities markets hinders the estimation of their market impact. Regarding the market impact of index flows, the endogeneity problem is alleviated in two ways: first, we restrict the scope to agricultural commodities, for which index flows are more exogenous to market prices; second, we introduce two novel instrumental variables that are computed from index flows outside the market under analysis. We find that index investment flows are offset by commercial players, not speculators. The serial correlation of index flows may explain the tendency of speculators to synchronize with index investors. There is strong evidence of an index flows' impact in those commodities markets where speculative and index positions are the most correlated. The market impact of index flows is located in periods of liquidity stress, as is the correlation between speculative and index positions. Overall, our results demonstrate an impact of index investors on some agricultural prices and suggest that the synchronicity between speculative and index positions is an important determinant of this impact.     

The research cost of adapting agriculture to climate change: A global analysis to 2050

Investments in agricultural research and development (R&D) made over the next few decades will likely prove critical in offsetting adverse climate change impacts on the global food system. In this study, we offer cost estimates of public R&D-led adaptation to climate change grounded in an explicit framework relating the flow of annual R&D expenditures to building knowledge capital and thereby raising productivity in agriculture. Our research uses a comprehensive collection of historical public agricultural R&D expenditure and a literature review of elasticity estimates linking knowledge stocks to agricultural productivity growth for key world regions. Given climate-driven crop yield projections generated from extreme combinations of crop and global circulation models, we find that offsetting crop yield losses projected by climate and crop models over 2006–2050 would require increased R&D adaptation investments of between $187 billion and $1,384 billion (in 2005 $PPP) if we invest between 2020 and 2040. This is 16–118% higher than global R&D investment if present spending trends continue. Although these costs are significant, worldwide R&D-led climate adaptation could offer favorable economic returns. Moreover, R&D-led adaptation could deliver gains in food security and environmental sustainability by mitigating food price increases and slowing cropland expansion.     

Extension services,product quality and yields: the case of grapes in Argentina

This article studies the impact of publicly subsidized agricultural extension services on yields and product quality. We use panel data from grape producers in Mendoza, Argentina to estimate the impacts of farmer trainings. We find a negative overall impact on yields and evidence of a positive average impact on the adoption of higher‐quality grape varieties. By analyzing the dynamic pattern of the estimated effects, we find evidence of a temporary decrease in yields suggesting the existence of an adjustment process following the introduction of higher‐quality grapes. The overall negative effect on yield is driven by a sharp drop in the year of participation. This fades after year one, and two to three years after treatment we observe increases in higher‐quality grape production. Findings reinforce the importance of temporal dimension of extension services.