A Ricardian Analysis of the Distribution of Climate Change Impacts on Agriculture across Agro-Ecological Zones in Africa

This paper examines the distribution of climate change impacts across the sixteen Agro-Ecological Zones (AEZs) of Africa. We combine net revenue from livestock and crops and regress total net revenue on a set of climate, soil, and socio-economic variables with and without country fixed effects. Although African crop net revenue is very sensitive to climate change, combined livestock and crop net revenue is more climate resilient. With the hot and dry CCC climate scenario, average damage estimates reach 27% by 2100, but with the mild and wet PCM scenario, African farmers will benefit. The analysis of AEZs implies that the effects of climate change will be quite different across Africa. For example, currently productive areas such as dry/moist savannah are more vulnerable to climate change while currently less productive agricultural zones such as humid forest or sub-humid AEZs become more productive in the future. S. Niggol Seo is the Consultant to the World Bank.     

Policy Bias and Agriculture: Partial and General Equilibrium Measures

The paper examines the impact of industrial protection, agricultural export taxes, and overvaluation of the exchange rate on the balance between the agricultural and nonagricultural sectors. Various agricultural terms-of-trade indices are constructed to measure the policy bias against agriculture in a computable general equilibrium (CGE) framework and compare the results with earlier partial equilibrium measures. Our results indicate that the partial equilibrium measures miss much of the action operating through indirect product and factor market linkages, while overstating the strength of the linkages between changes in the exchange rate and prices of traded goods on the agricultural terms of trade.     

Climate Change and Adaptation: The Case of Nigerian Agriculture

The present research offers an economic assessment of climate change impacts on the four major crop families characterizing Nigerian agriculture. The evaluation is performed by shocking land productivity in a computable general equilibrium model tailored to replicate Nigerian economic development up to 2050. The detail of land uses in the model has been increased by differentiating land types per agro-ecological zones. Uncertainty about future climate is captured, using, as inputs, yield changes computed by a crop model under ten general circulation models runs. Climate change turns out to be negative for Nigeria in the medium term, with production losses and increase in crop prices, higher food dependency on foreign imports, and GDP losses in all the simulations after 2025. In a second part of the paper, a cost effectiveness analysis of adaptation in Nigerian agriculture is conducted. The adaptation practices considered are a mix of cheaper “soft measures” and more costly “hard” irrigation expansion. The main result is that the cost effectiveness of the whole package depends crucially on the possibility of implementing adaptation by exploiting low-cost opportunities which show a benefit-cost ratio larger than one in all the climate regimes.     

The Impact of Climate Change on Agriculture: Findings from Households in Vietnam

This paper examines farm household-level impacts of climate change by examining the relationship between climatic variables and Vietnamese agricultural output. The Ricardian technique is applied with panel data which accounts for both adaptation strategies and household characteristics. This study proposes a two-stage Hsiao model to correct for collinearity between climatic variables and individual effects. The results show that in the dry season, increases in temperatures are beneficial to all farms in the warmer southern regions, while increases in precipitation will damage only irrigated farms in the Central and South regions. The impact of higher temperature in the wet season is similar, except that it will negatively affect net revenue of irrigated farms in the long run. More rainfall in the wet season will increase net revenue in the North region only. Finally, this study combines the estimated results with future climate scenarios to predict how future changes in climate will affect farmers on aggregate.     

Dynamic modelling of agricultural policies: The role of expectation schemes

The highly disputed effects of agricultural trade liberalisation are mostly simulated with static models. Our main objective in this paper is to evaluate the robustness of the static simulation results to the consistent modelling of dynamic behaviours and to the linked specification of price/return expectations. Focusing on the scenario of a complete trade liberalisation of arable crop markets by developed countries, we find that available static results are quite robust compared to dynamic specifications and to most expectation schemes. Endogenous market fluctuations due to expectation errors may appear following trade liberalisation. These fluctuations are nevertheless limited by the many feedback effects revealed by our general equilibrium framework.     

A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data

The trend in crop yields and yield variability affects food security and impact agricultural and food policies. Recent studies in this area have either focused only on one country or performed global analysis on a handful of crops. We provide the first worldwide analysis of trend and variability for 8088 country-crop yield series taken from the FAO database, employing a robust estimator to cope with the adverse statistical effects of outliers. More than half of the series display a slowdown in yield growth due to a closing of the gap between realised and attainable yields as well as to agricultural policies promoting more sustainable agricultural practices. Around one fourth of the series show also an increase in yield variability as a consequence of climate change and changes in farm management practices. Yield variability is highest in Eastern Europe, Central Asia and Middle East and North Africa, where food security may be threatened.     

Climate change and economic growth: An intertemporal general equilibrium analysis for Egypt

This study advances the state of the art in country-level computable general equilibrium analysis for climate change impact and adaptation analysis by incorporating forward-looking expectations. The analytic framework is used to explore the long-run growth prospects for Egypt in a changing climate. Based on a review of existing estimates of climate change impacts on agricultural productivity, labour productivity and the potential losses due to sea-level rise for the country, the model is used to simulate the effects of climate change on aggregate consumption, investment and income up to 2050. Available cost estimates for adaptation investments are employed to explore adaptation strategies.The simulation analysis suggests that in the absence of policy-led adaptation investments, real GDP towards the middle of the century will be 6.5% lower than in a hypothetical baseline without climate change. A combination of adaptation measures, that include coastal protection investments for vulnerable sections along the low-lying Nile delta, support for changes in crop management practices and investments to raise irrigation efficiency, could reduce the GDP loss in 2050 to around 2.6%.Further work along these lines for developing countries in climate change hotspot regions deserves a high priority on the research agenda in economic modelling.     

Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh,India

Climatic impact on agricultural production is a serious concern, as it is directly linked to food security and poverty. Whereas there are empirical studies that examine this issue with parametric approaches focusing on the “mean” level of variables, few studies have addressed climatic impacts in general settings. Given this paucity, we characterize the impacts on crop yield distributions with a non-parametric approach. We examine the case of rice yield in Andhra Pradesh, India, an important state producing rice as a main crop but reported to be vulnerable to climate change. Employing 34 years of data, we apply quantile regressions to untangle the climatic impacts across the quantiles of rice yield, finding three main results. First, substantial heterogeneity in the impacts of climatic variables can be found across the yield distribution. Second, the direction of the climatic impacts on rice yield highly depends on agro-climatic zones. Third, seasonal climatic impacts on rice yield are significant. More specifically, a monsoon-dependent crop is more sensitive to temperature and precipitation, whereas a winter crop remains largely resilient to changes in the levels of climate variables. These findings clarify the idiosyncratic climatic impacts on agriculture in India, and call for location- and season-specific adaptation policies.     

Innovation Systems,Institutional Change And The New Knowledge Market: Implications For Third World Agricultural Development

This paper uses a simplified version of classical information theory to improve understanding of the dynamic potential of innovation systems in developing countries with a special focus on issues of agricultural poverty. Using examples drawn from emergent knowledge markets in industrialised countries, the paper suggests that such an analytical approach focuses attention directly on the types of institutional reforms necessary to improve the effectiveness of Third World agricultural R&D. Contrast is made with more conventional approaches that take institutional structures as given and focus more on factors such as price regimes, policy weaknesses and political will. The paper argues that so great now are the problems in this area (particularly in Sub-Saharan Africa) that there is a clear need for institutional reform to accompany relevant technological changes. In the absence of such reform innovative (and hence economic) potential is likely to be compromised.     

Producer price adjustment to commodity price shocks: An application of threshold cointegration

During the 1980s and 1990s, most developing countries in Sub-Saharan Africa and Latin America implemented structural adjustment reforms, which included the liberalization of export crop markets and the abolition of marketing boards. The emergence of new marketing systems may have altered price transmission mechanisms, especially if collusion behaviors have appeared among domestic stakeholders along the marketing chain. I use threshold cointegration tools to analyze the dynamics of world price transmission to coffee growers in three deregulated markets. The methods I use allow me to test the presence of a threshold in both the cointegrating relationship and its corresponding error correction model. Over the pre-reform period, I detect asymmetric price adjustments that appear favorable to producers - deviations from the long-run equilibrium resulting from largest increases in world prices being eliminated relatively quickly - and disappear in the post-reform period. On the contrary over the post-reform period, the results suggest that largest decreases in world prices may be transmitted relatively quickly to growers. These results can be seen as expressions of a favorable pricing policy over the pre-reform period and an unfavorable influence of new private agents over the post-reform period, meaning that in some cases reforms may have failed to create competitive market structures.     

Bulgarian Agriculture and EU Accession

This article analyses markets, income and agricultural policy changes in Bulgaria after its accession to the EU. A country AG-MEMOD model, consisting of 18 commodities organised in four sub-models (crops, livestock, milk & dairy and a link between crops and livestock) is applied. The model is an econometric, dynamic, partial-equilibrium and multi-product one. In order to examine the policy environment in Bulgaria, two scenarios are designed: baseline or non-accession (N-Ac) and accession (Ac). The accession scenario should have a very positive effect on the crop sector in Bulgaria, whereas the effect is the opposite on the livestock sector. The most remarkable results come from the milk sector. The effect on income is also positive, despite the pessimistic macroeconomic projections.     

Economic valuation of the vulnerability of world agriculture confronted with pollinator decline

There is mounting evidence of pollinator decline all over the world and consequences in many agricultural areas could be significant. We assessed these consequences by measuring 1) the contribution of insect pollination to the world agricultural output economic value, and 2) the vulnerability of world agriculture in the face of pollinator decline. We used a bioeconomic approach, which integrated the production dependence ratio on pollinators, for the 100 crops used directly for human food worldwide as listed by FAO. The total economic value of pollination worldwide amounted to €153 billion, which represented 9.5% of the value of the world agricultural production used for human food in 2005. In terms of welfare, the consumer surplus loss was estimated between €190 and €310 billion based upon average price elasticities of − 1.5 to − 0.8, respectively. Vegetables and fruits were the leading crop categories in value of insect pollination with about €50 billion each, followed by edible oil crops, stimulants, nuts and spices. The production value of a ton of the crop categories that do not depend on insect pollination averaged €151 while that of those that are pollinator-dependent averaged €761. The vulnerability ratio was calculated for each crop category at the regional and world scales as the ratio between the economic value of pollination and the current total crop value. This ratio varied considerably among crop categories and there was a positive correlation between the rate of vulnerability to pollinators decline of a crop category and its value per production unit. Looking at the capacity to nourish the world population after pollinator loss, the production of 3 crop categories - namely fruits, vegetables, and stimulants - will clearly be below the current consumption level at the world scale and even more so for certain regions like Europe. Yet, although our valuation clearly demonstrates the economic importance of insect pollinators, it cannot be considered as a scenario since it does not take into account the strategic responses of the markets.     

Climate Change Policy Options for Asian Economies: Findings from an Integrated Assessment Model

This study outlines potential futures for the global economy through the 2050 with a specific focus on the countries of Asia. With underlying assumptions about population and output growth, a baseline scenario assesses the growth of greenhouse gas emissions and the ensuing impacts on the climate. Under the baseline scenario, Asia's high growth leads to a strong rotation in global output and emissions by the year 2050. The analytical framework traces back the changes in temperature to economic damages – limited to the agricultural sectors. Parts of Asia are likely to see much higher dependence on food imports as a consequence of these damages. Various carbon tax scenarios are implemented to assess the potential for reducing carbon emissions. Because of the structure of their economies, Asian countries are likely to bear the greatest burden in reducing emissions in an efficient global tax scheme, but there is significant scope to ease this burden through financial transfers.     

How well do tree plantations comply with the twin targets of the Clean Development Mechanism? — The case of tree plantations in Tanzania

The Clean Development Mechanism (CDM) of the Kyoto Protocol is supposed to provide both carbon mitigation and poverty reduction. This article reports from a model based study of market related carbon leakage and poverty reduction in the wake of a CDM tree-planting project in Tanzania. A tree plantation was incorporated in a computable general equilibrium (CGE) model with income differentiated household segments. The study focused on sensitivity of carbon leakage and income distribution to different project ownerships and carbon premium allocations. It turned out that the project value in terms of carbon premium has clear shortcomings as indicator of induced GDP growth and poverty alleviation. The non-poor rural and urban households benefit considerably more than the poor households. However, rising household income in all domestic project ownership arrangements increases demand for food, raises use of fertilizer and crop yields. A carbon cycle module for agricultural land use was incorporated in the CGE model, showing an increased carbon sequestration in agricultural soil, representing a negative leakage through markets in the range of 60-120% of the certified emissions reductions as registered in the CDM tree plantation project.     

A general equilibrium assessment of climate change–induced loss of agricultural productivity in Nepal

The impact of climate change on agriculture has been one of the most discussed topics in the literature on climate change. Multi-regional computable general equilibrium (CGE) models have frequently been used to examine the impact of climate change on agriculture. However, these studies do not focus on country-specific issues related to the link between climate change and agriculture. This paper aims to address this gap by investigating the economy-wide impacts of climate change on Nepalese agriculture. Nepal makes an interesting case study as it has one of the most vulnerable agricultural economies in South Asia. This paper develops a comparative static multi-household CGE model to trace the direct and indirect impacts of climate change in Nepal. The results suggest that climate change has a significant negative impact on the overall Nepalese economy due to the induced loss of agricultural productivity. The results further reveal that rural households in Nepal, whose livelihoods primarily depend on subsistence farming, will face additional climate change–induced stresses due to already overstrained poverty and a weak social welfare system. The results indicate an urgent need to mainstream adaptation strategies to lessen the negative impacts of any climate change–induced loss of agricultural productivity in Nepal.     

A cointegration analysis of agricultural,energy and bio-fuel spot,and futures prices

This article features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing crude oil spot, and future prices. The use of grains for the creation of bio-fuels has sparked fears that these demands are inflating food prices. We analyse approximately 10 years of daily spot and futures prices for corn, wheat, sugar ethanol, and oil prices from Datastream for the period 19 July 2006 to 2 July 2015. The analysis features Engle-Granger pairwise cointegration and partial cointegration. Pairs of series, that are cointegrated, are analysed using Markov-switching VECM and Impulse Response Analysis, which confirms that these markets have significant linkages that vary according to whether they are in low or high volatility regimes.     

An integrated analysis of the effects of local water institutions on irrigated agriculture outcomes in the arid western United States

Irrigation water rights and their governance structures constitute the foundation of local water institutions and profoundly influence water resource allocations, irrigated agricultural productivity and other consumptive water uses in the arid climate zones. This article explores the regional structures of irrigation water rights and water governance and empirically analyses the priority effects of water rights on irrigated agriculture at the micro level in Idaho, an arid and semiarid state in the western United States. We integrate a unique data set of water rights and water supplies with agricultural features and environmental characteristics into our empirical analysis. Results indicate that seniority in water resources allocation has significant, positive effects on both the average crop revenue and crop water use efficiency. Local water rights structures differ significantly in seniority and water sources from region to region. In response to the heterogeneity in local water rights structures, the aforementioned effect of allocative priority of water rights on average crop revenue per hectare and crop water productivity varies significantly, reaching up to an 87% difference, when measured across regions. In addition, the priority effects of water rights are nonlinear, which reflects the influence of historical patterns of water rights establishment on water institutions to date.     

The Sleeping Giant Awakes: Projecting Global Implications of China's Energy Consumption

China's rapid economic growth has generated a surge in energy demand that is reallocating global fuel balances. We employ a global energy computable general‐equilibrium model to analyze alternative scenarios for economic growth, Chinese currency appreciation, and oil price shocks, with a special focus on China energy markets. Imports from the Middle East, Central Asia, Russia, and Sub‐Saharan Africa are found to comprise a growing share of China's energy. Imports to China grow from 12% of world energy imports in 2010 to 17% by 2050 when over 80% of China's oil demand will be imported.     

The relationship between stock prices and exchange rates in South Africa and Nigeria: structural breaks analysis

The relationship between stock prices and exchange rates has continued to generate interest from both the academia and financial industry players for many years. This study conducts an empirical investigation into the relationship between stock prices and exchange rates for the two largest economies in Sub-Saharan Africa – South Africa and Nigeria. Our methodology accounts for structural breaks in the data and the long-run relationship between stock and foreign exchange markets. The results of multivariate causality tests with structural breaks showed that causality runs from exchange rates to domestic stock prices in Nigeria (flow channel) while in South Africa, no causality exists between domestic stock prices and exchange rates. The results also reveal that there is causality from the London stock market to both countries’ stock markets, thus showing that international stock markets are driving both the Nigerian and South African stock markets.     

Climate change impacts on irrigation water requirements: Effects of mitigation, 1990–2080

Potential changes in global and regional agricultural water demand for irrigation were investigated within a new socio-economic scenario, A2r, developed at the International Institute for Applied Systems Analysis (IIASA) with and without climate change, with and without mitigation of greenhouse gas emissions. Water deficits of crops were developed with the Food and Agriculture Organization (FAO)–IIASA Agro-ecological Zone model, based on daily water balances at 0.5° latitude × 0.5° longitude and then aggregated to regions and the globe. Future regional and global irrigation water requirements were computed as a function of both projected irrigated land and climate change and simulations were performed from 1990 to 2080. Future trends for extents of irrigated land, irrigation water use, and withdrawals were computed, with specific attention given to the implications of climate change mitigation. Renewable water-resource availability was estimated under current and future climate conditions. Results suggest that mitigation of climate change may have significant positive effects compared with unmitigated climate change. Specifically, mitigation reduced the impacts of climate change on agricultural water requirements by about 40%, or 125–160 billion m³ (Gm³) compared with unmitigated climate. Simple estimates of future changes in irrigation efficiency and water costs suggest that by 2080 mitigation may translate into annual cost reductions of about 10 billion US$.