An accelerating treadmill and an overlooked contradiction in industrial agriculture: Climate change and nitrogen fertilizer

In this article, we explore if and why farmers are responding to the impacts of climate change with practices that increase greenhouse gas emissions. Our examination focuses on heavy rainfall events and Midwestern corn farmers' nitrogen fertilizer management. Due to climate change, the frequency and intensity of heavy rain events is increasing across the Midwest. These events increase nitrogen loss to the environment and introduces economic risks to farmers. Drawing from a theoretical framework that merges O'Connor's second contradiction of capitalism and Schnaiberg's treadmill of production, we argue farmers' responses to these events reflect the second contradiction, increasing contributions to climate change, and are shaped by treadmill‐like political‐economic pressures. We examine this using a qualitative sample of 154 farmers across Indiana, Iowa, and Michigan. Given profit imperatives, adapting farmers in our sample primarily used increased nitrogen application rates to reduce their vulnerability to heavy rains. As nitrogen rate is directly associated with nitrous oxide emissions, this adaptive strategy is effective but increases agricultural contributions to climate change. This preliminarily suggests that the political‐economic structure encourages farmers to respond to climate change in ways that accelerate the environmental contradictions of industrial agriculture.     

Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program

Likely climate change impacts include damages to agricultural production resulting from increased exposure to extreme heat. Considerable uncertainty remains regarding impacts on crop insurance programs. We utilize a panel of U.S. corn yield data to predict the effect of warming temperatures on the mean and variance of yields, as well as crop insurance premium rates and producer subsidies. While we focus on corn, we demonstrate that the subsidy impacts are likely to carry over to other major program crops. We find that warming decreases mean yields and increases yield risk on average, which results in higher premium rates. Under a 1°C warming scenario, we find that premium rates at the 90% coverage level will increase by 39% on average; however, there is considerable statistical uncertainty around this average as the 95% confidence interval spans from 22% to 61%. We also find evidence of extensive cross‐sectional differences as the county‐level rate impacts range from a 10% reduction to a 63% increase. Results indicate that exposure to extreme heat and changes in the coefficient of variation are large drivers of the impacts. Under the 1°C warming scenario, we find that annual subsidy payments for the crop insurance program could increase by as much as $1.5 billion, representing a 22% increase relative to current levels. This estimate increases to 3.7 billion (57%) under a 2°C warming scenario. Our results correspond to a very specific counterfactual: the marginal effect of warming temperatures under current technology, production, and crop insurance enrollments. These impacts are shown to be smaller than the forecasted impacts under a commonly used end‐of‐century general circulation model for even the most optimistic CO₂ emissions projection.     

China feels the heat: negative impacts of high temperatures on China's rice sector

We analysed a county‐level data set of single‐season rice yield and daily weather outcomes in China to examine the effects of temperature on China's rice sector. We found that rice yield exhibited highly nonlinear responses to temperature changes: rice yield increased with temperature up to 28°C and decreased sharply with higher temperatures. Holding current growing seasons and regions constant, average rice yield in China is projected to decrease by 10–19 per cent by 2050 and 11–33 per cent by 2070 due to future warming under the global climate models HadGEM2‐ES and NorESM1‐M. These results imply that future warming poses a major challenge for Chinese rice farmers and that the effectiveness of adaptations will depend on how well they reduce the negative temperature impacts on rice yield because of very hot days.     

Regional Climate Change: Trend Analysis of Temperature and Precipitation Series at Selected Canadian Sites

Global climate change does not necessarily imply that temperature or precipitation is increasing at specific locations. The hypothesis of increasing temperature and precipitation trends associated with global climate change is tested using actual annual temperature and precipitation data for nine selected weather stations, spatially distributed across Canada. Vogelsang's (1998) partial sum and Woodward et al's (1997) bootstrap methods are used for testing for trend. Both methods suggest no warming in the Canadian temperature series except for Toronto, Ontario, which had significant increase over time, along with Moncton, New Brunswick, and Indian Head, Saskatchewan, which had marginal increases. There is no evidence of increasing trend in precipitation except for Moncton, New Brunswick, which had a significantly increasing trend. Thus, public policies designed to address the regional effects of climate change need to be adapted for a particular ecological zone, based on knowledge of the climate trends for that region, rather than on general global climate change patterns. Les changements climatiques à l'échelle planétaire ne signifient pas nécessairement que la température et les précipitations sont en augmentation dans des emplacements donnés. Nous avons testé I'hypothèse d'une assoviation de la tendance à la hausse de la température et des précipitations avec les changements climatiques planétaires à partir des données réelles de température et de précipitations obtenues à 9 stations d'observation climatique réparties dans les diverses régions du Canada. Nous utilisons, pour cefaire, la méthode des sommes partielles de Vogelsang (1998) et celle de rééchantillonnage bootstrap de Woodward et al (1997). Les deux méthodes ne révèlent aucun réchauffement de la température dans les séries chronologiques, sauf pour Toronto, en Ontario, où l'on constate une hausse significative en fonction du temps, ainsi que pour Moncton au Nouveau‐Brunswick et Indian Head en Saskatchewan qui marquent de très légères augmentations. Rien n'indique une tendance à la hausse des précipitations, sauf à Moncton où se dessine une tendance significative dans ce sens. Les programmes publics destinés à faire face aux effets régionaux du changement climatique doivent donc être adaptés à chaque zone écologique particulière, à partir d”observations faites dans la région même, plutôt que de la configuration du changement climatique à l'échelle planétaire.     

Adaptation and Climate Change Impacts: A Structural Ricardian Analysis of Farm Types in Germany

Based on farm census data, we explore the climate‐dependent incidence of six farm types and the climate‐induced impacts on land rental prices in Germany. We apply a structural Ricardian approach by modeling the dominant farm type at 9,684 communities as depending on temperature, precipitation and other geographic variables. Rents per farm type are then modeled as depending on climate and other conditioning variables. These results allow the projection of the consequences of climate change as changes in our climate variables. Our results indicate that permanent‐crop farms are more likely to dominate in higher temperatures, whereas forage or mixed farms dominate in areas of higher precipitation levels. Land rental prices display a concave response to increases in annual precipitation, and appear to increase linearly with rising annual temperature. Moderate‐warming simulation results for future decades benefit most farm types but seem to penalise forage farms. Rental prices are projected to increase, ceteris paribus, for all farm types.     

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.     

Economywide effects of climate‐smart agriculture in Ethiopia

Climate‐smart agriculture (CSA) is an approach for transforming and reorienting agricultural systems to support food security under climate change. Few studies, however, quantify at the national scale CSA's economic effects or compare CSA to input‐intensive technologies, like fertilizer or irrigation. Such quantification may help with priority setting among competing agricultural investment options. Our study uses an integrated biophysical and economic modeling approach to quantify and contrast the economywide effects of CSA (integrated soil fertility management in our study) and input‐intensive technologies in Ethiopia's cereal systems. We simulate impacts for 20‐year sequences of variable weather, with and without climate change. Results indicate that adopting CSA on 25% of Ethiopia's maize and wheat land increases annual gross domestic product (GDP) by an average 0.18% (US$49.8 million) and reduces the national poverty rate by 0.15 percentage points (112,100 people). CSA is more effective than doubling fertilizer use on the same area, which increases GDP by US$33.0 million and assists 75,300 people out of poverty. CSA and fertilizer have some substitutability, but CSA and irrigation appear complementary. Although not a panacea for food security concerns, greater adoption of CSA in Ethiopia could deliver economic gains but would need substantial tailoring to farmer‐specific contexts.     

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.     

全球变暖背景下云南省橡胶林潜在适生区的预测及变化

目的 揭示全球变暖对云南省橡胶林适生区的影响,为云南橡胶产业的健康发展提供一定的参考及支持。方法 文章以云南省橡胶林物种分布数据,气候、地形、土壤等环境变量数据为基础,运用最大熵模型（MaxEnt）,确定对云南省橡胶林分布有显著影响的主导环境因子,分析当代气候条件下云南省橡胶林适生区的分布特征,并预测未来气候变暖对云南省橡胶林适生区分布的影响。结果 （1）对云南省橡胶林分布有显著影响的主导环境因子共5项,以12月平均最高气温（51.2%）居首,其余4项依次为5月平均降雨量（10.2%）、年降雨量（9.4%）、坡度（8.8%）、1月最低气温（8.5%）。（2）云南省橡胶林适生区集中分布于西双版纳、德宏和临沧等地区,红河、普洱和保山亦有零星分布,总适生区约占云南国土面积的5.32%,且总体上,高适生区（1.44%）居中,其外侧环绕中适生区（1.25%）,再外侧环绕低适生区（2.63%）。（3）RCP4.5、RCP8.5情景下,云南省橡胶林总适生区面积均呈增加趋势,分别达到云南国土面积的13.96%、19.04%,高排放情景下的增幅更加明显。（4）两种排放情景下橡胶林总适生区的质心均沿西南—东北方向,向海拔和纬度更高的无量山、哀牢山方向迁移,且高排放情景下迁移距离更远。结论 气温变化对云南省橡胶林适生区分布影响显著,在气候变暖的情况下,橡胶林适生区面积趋于更大,且质心朝着高海拔、高纬度地区移动。在考虑气温作为主导因子的情况下,橡胶林的种植区可进一步向高海拔、高纬度区域扩展。     

Does participation in the sloping land conversion program reduce the sensitivity of Chinese farmers to climate change?

Over the last two decades, extensive literature has examined the socioeconomic and environmental impacts of China's Sloping Land Conversion Program (SLCP), a program that was launched in late 1990s to mitigate the environmental effects of agricultural production and reduce rural poverty. However, little empirical evidence exists with regard to the impact of SLCP on rural households' sensitivity to nature-induced changes and environmental challenges. In this study, household-level data covering the period 1995–2010 from five Chinese provinces were used to examine the effect of SLCP on farmers' sensitivity to climate change. The empirical results show that participation in SLCP significantly reduced farmers' sensitivity to climate change by reducing their dependency on land and natural resources for income, and by diversifying their livelihood options. Spatially, the results reveal that the effect of SLCP on farmers' sensitivity vary across regions. Specifically, SLCP was found to have a ‘rate effect’ on farmers in the Northern regions and a ‘level effect’ on farmers in the Southern regions. Likewise, we found that the effect of SLCP differs considerably across income groups, with the effect on low- and middle-income groups being most significant. The results indicate that subsidy is the main pathway through which SLCP reduces farmers' sensitivity to climate change. In contrast, we found inclusive evidence about the indirect effect of SLCP farmers' sensitivity through the promotion of non-agricultural employment. These results carry major implications with regard to the effectiveness of ecological conservation programs and their mitigation potential through building farmers' resilience in China and ecologically fragile environments.     

Climate change impacts on investment in crop sowing machinery*

A model of investment in crop sowing machinery is applied to wheat production under current and projected climatic conditions at several locations in south‐western Australia. The model includes yield responses to time of sowing at each location given current and projected climatic conditions. These yield relationships are based on wheat growth simulation modelling that in turn draws on data from a down‐scaled global circulation model. Wheat price distributions and cost of production data at each location, in combination with the time of sowing yield relationships are used to determine a farmer's optimal investment in crop sowing work rate under each climate regime. The key finding is that the impacts of climate change on profit distributions are often marked, yet mostly modest changes in investment in work rate form part of the profit‐maximising response to climate change. The investment response at high versus low rainfall locations mostly involves increases and decreases in work rates, respectively. However, changes to investment in work rate within a broadly similar rainfall region are not always uniform. The impacts of climate change on investments in work rate at a particular location are shown to require knowledge of several factors, especially how climate change alters the pattern of yield response to the time of sowing at that location.     

Climate,weather and child health in Burkina Faso

It is now clear that anthropogenic climate change is having a negative impact on human health. In this paper, we provide the first comprehensive assessment of the impact of climatic stressors on child health in Burkina Faso. We undertake a rigorous empirical analysis of the impact of climate and weather shocks on mortality, stunting (height-for-age Z-score) and wasting (weight-for-age Z-score), using Demographic and Health Surveys, combined with high-resolution meteorological data, controlling for household and individual covariates. We find robust evidence that both lifetime and short-term exposure to high temperatures and droughts have a negative impact on child health, as do increased temperature anomalies during crop seasons, suggesting a link between climate and health through domestic food production. Income and household wealth, access to electricity, sanitation and a health facility for childbirth negate some adverse impacts of climate change. Combining our econometric estimates with updated CMIP6 scenarios, we compute policy-relevant projections of future child health. Our results show that future warming is projected to significantly increase child mortality, and share of underweight and stunted children, in all but the Paris Agreement scenario. Given the links between health, a key element of human capital, and economic growth, our findings and projections provide yet more evidence of the importance of a rapid reduction in global emissions combined with adaptation funding, if lower-income countries are to achieve poverty reduction and increasing prosperity.     

The impact of climate change on labour demand in the plantation sector: the case of tea production in Sri Lanka

Limited opportunities for crop switching and lengthy preharvesting periods make the plantation sector particularly vulnerable to climate change. Surprisingly, however, the economic consequences of climate change on plantation crops are seldom analysed. Drawing on a unique primary panel data set from a representative cross section of 35 tea estates in Sri Lanka over the period 2002–2014, this study implements a structural model of estate profit maximisation to estimate the elasticity of labour demand with respect to different components of weather. Results indicate a negative relationship between labour demand and rainfall in the south‐west monsoon, the north‐east monsoon and the second inter‐monsoon. A positive relationship is found between labour demand and rainfall in the first inter‐monsoon. Overall, predicted changes in rainfall by 2050 are anticipated to reduce labour demand by approximately 1,175,000 person‐days per year across Sri Lanka's tea plantation sector. This is likely to have considerable social and welfare implications, particularly for the Indian Tamil women who comprise the majority of the sector's workforce.     

全球变化背景下气候变暖对中国农业生产的影响

全球变化背景下,气候变暖势必对我国农业生产要素、生产环境、农业生产活动及粮食安全产生重大影响。文章采用文献综述与比较研究的方法,系统分析气候变化对我国光资源、温度、水环境和土壤环境等农业生产要素的影响特征及变化趋势,探讨气候变化对我国作物种植区域和种植制度、农作物病虫害、农业生产能力、农业经济与管理等农业生产活动以及农田生态系统过程、农业生态环境(水环境、土壤环境、耕作环境)的实际影响。在此基础上,明确了我国农业在应对气候变化过程中所面临的主要问题:极端气候事件发生频率加大,自然灾害、气象灾害的风险提高,农业生产的波动性增强;农业病虫害的为害时间延长、危害程度加剧、为害范围增大;农业生态环境日趋恶化,农田土壤的干旱化、盐渍化程度加剧,农业生产能力下降;应对气候变化的农业发展策略及其关键技术亟需解决。     

Impacts of climate change on lower Murray irrigation*

This article evaluates irrigated agriculture sector response and resultant economic impacts of climate change for a part of the Murray Darling Basin in Australia. A water balance model is used to predict reduced basin inflows for mild, moderate and severe climate change scenarios involving 1, 2 and 4°C warming, and predict 13, 38 and 63% reduced inflows. Impact on irrigated agricultural production and profitability are estimated with a mathematical programming model using a two‐stage approach that simultaneously estimates short and long‐run adjustments. The model accounts for a range of adaptive responses including: deficit irrigation, temporarily following of some areas, permanently reducing the irrigated area and changing the mix of crops. The results suggest that relatively low cost adaptation strategies are available for a moderate reduction in water availability and thus costs of such a reduction are likely to be relatively small. In more severe climate change scenarios greater costs are estimated. Adaptations predicted include a reduction in total area irrigated and investments in efficient irrigation. A shift away from perennial to annual crops is also predicted as the latter can be managed more profitably when water allocations in some years are very low.     

Adaptation May Reduce Climate Damage in Agriculture by Two Thirds

Although climate change may severely impact agriculture, farmers can mitigate it by adapting. Using US data, we estimate the amount of potential loss in agricultural profits, due to climate change, that can be reduced by agricultural adaptation. We consider two panel frameworks that differ only in their fixed effects specifications, where this difference allows us to estimate the climate change impact on agricultural profits with or without adaptation. Comparing these estimates, we find that adaptation has the potential to offset about two‐thirds of the end‐of‐century loss in agricultural profits potentially resulting from climate change. We also find that the warmest region in the US (i.e. in the south) has the most to gain from adaptation.     

Declining inflows and more frequent droughts in the Murray–Darling Basin: climate change,impacts and adaptation*

It is likely that climate change will be associated with reductions in inflows of water to the Murray–Darling Basin. In this study, we analyse the effects of climate change in the Murray–Darling Basin using a simulation model that incorporates a state‐contingent representation of uncertainty. The severity of the impact depends, in large measure, on the extent to which climate change is manifested as an increase in the frequency of drought conditions. Adaptation will partially offset the adverse impact of climate change.     

全球气候变化对海岛旅游地的影响与启示

气候既是海岛旅游业发展的自然条件,又是主要的资源,全球气候的异常变化影响海岛旅游资源的数量与质量、客流的空间与季节移动,并导致传统海岛旅游目的地的萎缩。全球气候变化对我国海岛旅游业的影响日益显著,必须及时调整海岛旅游发展的对策：大力发展生态旅游、可持续旅游;探究旅游者对气候变化的适应;改善海岛旅游目的地服务设施;重新进行海岛旅游规划;重视旅游主体人群的教育,以适应全球气候变化带来的巨大影响。     

Impact of Ghana's agricultural mechanization services center program

Use of mechanization in African agriculture has returned strongly to the development agenda, particularly following the recent high food prices crisis. Many developing country governments—including Ghana, the case study of this article—have resumed support for agricultural mechanization, typically in the form of subsidies for tractor purchase and establishment of private‐sector‐run agricultural mechanization service centers (AMSECs). The aim of this article is to assess the impact of Ghana's AMSEC program on various farm household outcomes, using data from surveys that were conducted with 270 farm households. A two‐stage propensity score matching and difference‐in‐difference estimation procedure is used to estimate the impacts of the program, employing different definitions of treatment, model specifications, and matching algorithms to assess sensitivity of the estimator to different assumptions. The results indicate that the AMSEC program has had a mixed impact on different outcome indicators. For example, whereas the program has contributed to improving availability of mechanization services, reducing drudgery, and raising yield, it has had no impact on the change in the prices paid by farmers for the services used and the change in the amount of area plowed. Implications of the results on labor‐mechanization substitution and for raising and sustaining productivity further are drawn.     

Trade liberalisation and greenhouse gas emissions: the case of dairying in the European Union and New Zealand*

The link between trade and the environment has aroused considerable interest both in terms of the impact of trade liberalisation on the environment, and also the impact of environmental policy on production and trade. Of key environmental concern at present is global warming and its association with greenhouse gas emissions. Agriculture is a sector of the economy that both contributes to, and will be affected by, climate change. This paper models the impact of agricultural trade liberalisation on greenhouse gas emissions from agriculture around the world, focusing particularly on the effects on New Zealand, a small economy highly dependent on agricultural trade. A partial equilibrium agricultural multicountry, multicommodity trade model is used for the analysis, extended to include physical production systems and their greenhouse gas emissions. Two simulations are performed: removal of agricultural policies in the EU and in all OECD countries. The results indicate that although producer returns in New Zealand increase, greenhouse gas emissions also increase significantly. EU producers face lower returns but also lower greenhouse gas emissions.