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  • Articles  (23)
  • Natural Disasters  (23)
  • Synthetic Biology and Assembly Cloning
  • Oxford University Press  (23)
  • MDPI Publishing
  • Wiley
  • Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition  (23)
  • 1
    Publication Date: 2017-01-05
    Description: The system of prior appropriation in the Western Unites States prioritizes property rights for water based on the establishment of beneficial use, creating a hierarchy where rights initiated first are more secure. I estimate the demand for security in water rights through their capitalization in agricultural property markets in the Yakima River Basin, a major watershed in Washington State. All water rights are satisfied in an average year, so the relative value of secure property rights is a function of water supply volatility and the costs of droughts are predominantly born by those with weak rights. In aggregate, security in water rights does not capitalize into property values at the irrigation district level; however, there is heterogeneity in the premium for secure water rights. The lack of a premium for district-level water security is robust to a variety of econometric methods to account for correlated district unobservables, and the null result produces an economically significant upper bound on the value to water security for the district. The ability for farmers to adapt to water supply volatility, as well as expectations about water markets and government infrastructure investment, are leading explanations for the lack of an aggregate premium. These explanations are supported by the pattern of heterogeneity in the water security premium.
    Keywords: Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation, Q21 - Demand and Supply, Q24 - Land, Q25 - Water, Q54 - Climate ; Natural Disasters ; Global Warming
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 2
    Publication Date: 2016-07-09
    Description: Large rural-urban wage gaps observed in many developing countries are suggestive of barriers to migration that keep potential migrants in rural areas. Using long panel data spanning nearly two decades, I study the extent to which migration rates are constrained by liquidity constraints in rural Tanzania. The analysis begins by quantifying the impact of weather variation on household welfare. The results show how household consumption co-moves with temperature, rendering households vulnerable to local weather events. These temperature-induced income shocks are then found to inhibit long-term migration among men, thus preventing them from tapping into the opportunities brought about by geographical mobility.
    Keywords: O12 - Microeconomic Analyses of Economic Development, O15 - Human Resources ; Human Development ; Income Distribution ; Migration, Q54 - Climate ; Natural Disasters ; Global Warming, R23 - Regional Migration ; Regional Labor Markets ; Population
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 3
    Publication Date: 2016-08-20
    Description: A multi-year drought has taken a severe toll on the agricultural economy of California’s Central Valley. Index insurance is an instrument with the potential to protect water users from economic losses due to periodic water shortages. An index insurance product based on the Sacramento Index and adapted to the Central Valley Project water supply is proposed. To address the potential for intertemporal adverse selection, three product designs are suggested: (1) "early bird" insurance; (2) variable premium insurance; and (3) variable deductible insurance. The performance of the designs are assessed using loss functions from the Westlands Water District in the San Joaquin Valley.
    Keywords: Q14 - Agricultural Finance, Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation, Q54 - Climate ; Natural Disasters ; Global Warming
    Print ISSN: 2040-5790
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 4
    Publication Date: 2016-07-09
    Description: Climate change affects agriculture by altering not only output quantity, but also crop quality. We quantify the economic impacts of climate change on agriculture through changes in both quantity and quality, where quality is measured by crop grades. Our model controls for methodological issues regarding sample selection, aggregation, phenology, and nonlinearity. The empirical application to Japanese rice production indicates that temperature effects are asymmetric: quantity is especially vulnerable to cold, whereas quality is vulnerable to extremely high temperature. Using these results, we simulate the effect of global warming, and we find that warming (a 3 °C increase) increases farm revenues by improving yield but decreases revenues as a result of deteriorating quality. The net effect is negative, suggesting that quality matters more than quantity. The negative effect, however, can be mitigated by shifting cultivation periods and/or regions. Overall, our results suggest that the estimated impacts of climate change and adaptation strategies could be severely misleading unless quality is considered.
    Keywords: L15 - Information and Product Quality ; Standardization and Compatibility, Q10 - General, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 5
    Publication Date: 2016-02-20
    Description: In the estimation of Ricardian models the endogeneity of adaptation measures is typically ignored. In this article we propose a new estimation strategy that explicitly recognises the endogeneity of the farm type and irrigation to climate. Based on the latest census data on over 270,000 farms in Germany, we estimate a cross-sectional, spatial-IV model that decomposes the effects of climate on farm profitability into direct (unmediated) and indirect (mediated by the variables that reflect adaptation). Our results show that neglecting the endogenous nature of adaptation measures may substantially bias the magnitude of the total effect of climate on farm profitability.
    Keywords: C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models, C25 - Discrete Regression and Qualitative Choice Models, C36- Instrumental Variables (IV) Estimation, Q18 - Agricultural Policy ; Food Policy, Q51 - Valuation of Environmental Effects, Q54 - Climate ; Natural Disasters ; Global Warming
    Print ISSN: 0165-1587
    Electronic ISSN: 1464-3618
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 6
    Publication Date: 2016-04-24
    Description: We construct a stochastic dynamic dual model to investigate the structural adjustment of two aggregate output and three aggregate input categories in US agriculture under stochastic climatic change. More than a century of national annual data (1910–2011) is used in the empirical analysis. No constraints on asset fixity are imposed. Results indicate that, with rational expectations, both output categories as well as all input categories exhibit quasi-fixity in response to market change and stochastic climate change. Crops adjust more than twice as fast as livestock—49% versus 20% of the way toward their long-run equilibrium in one year. Fertilizer adjusts most rapidly toward equilibrium levels (88% in one year), and capital adjusts most slowly (5% in one year). Labor oscillates rather than converging smoothly toward equilibrium; its distance from equilibrium is the same as if it adjusted 59% of the way toward its optimal level in one year. Failing to anticipate climate change dramatically slows the estimated rate of adjustment for two netputs and modestly speeds the rate for two others, thus likely increasing overall adjustment costs. Failing to account for uncertainty in anticipated climate change has little impact on adjustment rates.
    Keywords: Q11 - Aggregate Supply and Demand Analysis ; Prices, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 7
    Publication Date: 2016-02-10
    Description: This study quantifies how leakage behavior from afforesting agricultural land affects the intensification of agricultural production. In particular, we examine the leakage percentage from carbon offset allowance at specific southern regions in the United States as a part of a carbon market. We use the Forest and Agriculture Sector Optimization Model-Greenhouse Gases model to examine responses between sectors as part of the regional afforestation policy analysis. Regional characteristics and a policy's time frame are found to play important roles in achieving net gains, in terms of greenhouse gases stored, from such regional policies. In some cases, however, leakage greater than 100% is evident.
    Keywords: Q23 - Forestry, Q54 - Climate ; Natural Disasters ; Global Warming, R14 - Land Use Patterns
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 8
    Publication Date: 2016-12-07
    Description: Much attention has been paid to the potential role that climate and food security has on conflict, especially in the Middle East. However, there has been little critical examination beyond the statistical correlation of events, which demonstrates whether a causal link exists and if it does, what can be done about it. This paper explores the conceptual linkages between food and conflict and attempts to draw attention to the opportunity cost of conflict as the nexus for decision-making in this context.
    Keywords: D74 - Conflict ; Conflict Resolution ; Alliances, Q18 - Agricultural Policy ; Food Policy, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 9
    Publication Date: 2016-12-07
    Description: What are second-generation (2G) biofuel technologies worth to global society? A dynamic, economic model is used to assess the impact that introducing 2G biofuels technology has on crops, livestock, biofuels, forestry, and environmental services, as well as greenhouse gas emissions. Under baseline conditions, this amounts to $64 billion and is $84 billion under the optimistic technology case, suggesting that investing in 2G technology could be appropriate. Under greenhouse gas regulation, global valuation more than doubles to $139 and $174 billion, respectively. A flat energy price scenario eliminates the value of 2G technology to society.
    Keywords: Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation, Q42 - Alternative Energy Sources, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 10
    Publication Date: 2015-08-11
    Description: Using a mathematical programming model of Norwegian agriculture, we explore interconnections between trade liberalization and reductions in greenhouse gas (GHG) emissions. We show that the Doha Round proposals for a new agreement on agriculture through the World Trade Organization would not generate significant reductions in emissions. Further trade liberalization would reduce emissions by cutting agricultural production but would not change production methods. Imposing a carbon tax would lead both to a reduction in output and the extensification of production. In contrast, if farmers are allowed to claim a credit for carbon sequestration the effect is to intensify agricultural production.
    Keywords: F18 - Trade and Environment, Q17 - Agriculture in International Trade, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 11
    Publication Date: 2015-04-18
    Description: Climate change will most likely confront agricultural producers with natural, economic, and political conditions that have not previously been observed and are largely uncertain. As a consequence, extrapolation from past data reaches its limits, and a process-based analysis of farmer adaptation is required. Simulation of changes in crop yields using crop growth models is a first step in that direction. However, changes in crop yields are only one pathway through which climate change affects agricultural production. A meaningful process-based analysis of farmer adaptation requires a whole-farm analysis at the farm level. We use a highly disaggregated mathematical programming model to analyze farm-level climate change adaptation for a mountainous area in southwest Germany. Regional-level results are obtained by simulating each full-time farm holding in the study area. We address parameter uncertainty and model underdetermination using a cautious calibration approach and a comprehensive uncertainty analysis. We deal with the resulting computational burden using efficient experimental designs and high-performance computing. We show that in our study area, shifted crop management time slots can have potentially significant effects on agricultural supply, incomes, and various policy objectives promoted under German and European environmental policy schemes. The simulated effects are robust against model uncertainty and underline the importance of a comprehensive assessment of climate change impacts beyond merely looking at crop yield changes. Our simulations demonstrate how farm-level models can contribute to a process-based analysis of climate change adaptation if they are embedded into a systematic framework for treating inherent model uncertainty.
    Keywords: C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis, C63 - Computational Techniques, Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 12
    Publication Date: 2015-12-13
    Description: This article uses the 2007 Farm and Ranch Irrigation Survey database developed by the U.S. Department of Agriculture to assess the impact of water scarcity and climate on irrigation decisions for producers of specialty crops, wheat, and forage crops. We estimate an irrigation management model for major crops in the West Coast (California, Oregon, and Washington), which includes a farm-level equation of irrigated share and crop-specific equations of technology adoption and water application rate (orchard/vineyard, vegetable, wheat, alfalfa, hay, and pasture). We find that economic and physical water scarcity, climate, and extreme weather, such as frost, extreme heat, and drought, significantly impact producers’ irrigation decisions. Producers use sprinkler technologies or additional water applications to mitigate risk of crop damage from extreme weather. Water application rates are least responsive to surface water cost or groundwater well depth for producers of orchard/vineyard. Water supply institutions influence producers’ irrigation decisions. Producers who receive water from federal agencies use higher water application rates and are less likely to adopt water-saving irrigation technologies for some crops. Institutional arrangements, including access to distinct water sources (surface or ground) and whether surface water cost is fee based, also affect the responsiveness of water application rates to changes in surface water cost. The analysis provides valuable information about how producers in irrigated agricultural production systems would respond and adapt to water pricing policies and climate change.
    Keywords: Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets, Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation, Q16 - R&D ; Agricultural Technology ; Agricultural Extension Services, Q18 - Agricultural Policy ; Food Policy, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 13
    Publication Date: 2015-04-18
    Description: This article explores the reduction potential of greenhouse gases for major pollution-emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature, we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of output enhancement and emissions reduction. The results show that for reasonable directions the adoption of best practices would lead to sizable emission reductions in a range of approximately 20% compared with current levels.
    Keywords: C14 - Semiparametric and Nonparametric Methods, D24 - Production ; Cost ; Capital and Total Factor Productivity ; Capacity, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 14
    Publication Date: 2015-07-10
    Description: We develop a general equilibrium framework, based on a specific-factors trade model, to quantify the medium-term household welfare impacts of global warming in rural India. Using an hedonic approach grounded in the theory combined with detailed microdata, we estimate that three decades of warming will reduce agricultural productivity in the range of 7%–13%, with the arid northwest of India especially hard hit. Our analysis shows that the proportional welfare cost of climate change is likely to be both modest and evenly distributed across percentiles of the per capita income distribution, but this latter conclusion emerges only when the flexibility of rural wages is taken into account.
    Keywords: Q17 - Agriculture in International Trade, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 15
    Publication Date: 2015-12-13
    Description: We investigate the effect of crop price and climate variables on rainfed corn and soybean yields and acreage in the United States using a large panel dataset for the 1977–2007 period. Instrumental variables are used to control for endogeneity of prices in yield and acreage regressions, while allowing for spatially auto-correlated errors. We find that an increase in corn price has a statistically significant positive impact on corn yield, but the effect of soybean price on soybean yields is not statistically significant. The estimated price elasticities of corn yield and acreage are 0.23 and 0.45, respectively. Of the increase in corn supply caused by an increase in corn price, we find that 33.8% is due to price-induced yield enhancement and 66.2% is due to price-induced acreage expansion. We also find that the impact of climate change on corn production ranges from $-$ 7% to $-$ 41% and on soybean ranges from $-$ 8% to $-$ 45%, depending on the climate change scenarios, time horizon, and global climate models used to predict climate change. We show that the aggregate net impact of omitting price variables is an overestimation of the effect of climate change on corn yield by up to 9% and on soybean yield by up to 15%.
    Keywords: Q11 - Aggregate Supply and Demand Analysis ; Prices, Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 16
    Publication Date: 2014-04-05
    Description: It appears that news media and some pro-environmental organizations have the tendency to accentuate or even exaggerate the damage caused by climate change. This article provides a rationale for this tendency by using a modified International Environmental Agreement (IEA) model with asymmetric information. We find that the information manipulation has an instrumental value, as it ex post induces more countries to participate in an IEA, which will eventually enhance global welfare. From the ex ante perspective, however, the impact that manipulating information has on the level of participation in an IEA and on welfare is ambiguous.
    Keywords: D82 - Asymmetric and Private Information, L82 - Entertainment ; Media, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 17
    Publication Date: 2014-07-03
    Description: In this paper, after a review of the evolution of the literature on climate change economics in agriculture, I present some evidence of the impact of different moments of the distribution of rainfall on farmers risk aversion. It is found that while more rainfall is negatively associated with the probability of observing risk aversion, rainfall variability is positively correlated. This result highlights an important behavioural dimension of climatic factors.
    Keywords: Q54 - Climate ; Natural Disasters ; Global Warming, Q56 - Environment and Development ; Environment and Trade ; Sustainability ; Environmental Accounting
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    Electronic ISSN: 1464-3618
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 18
    Publication Date: 2014-03-07
    Description: Within the European Union, it is agreed that watershed-based management of water quality problems is more efficient than centralised arrangements. In this study, a mechanism for allocating international funds to watershed authorities for nitrogen abatement in the presence of moral hazard is investigated. The results show that when there is a risk of climate change, the cost of moral hazard to the international funding agency can be high if there is a moderate likelihood of climate change and the watershed authority is guaranteed a high minimum compensation.
    Keywords: Q53 - Air Pollution ; Water Pollution ; Noise ; Hazardous Waste ; Solid Waste ; Recycling, Q54 - Climate ; Natural Disasters ; Global Warming, Q58 - Government Policy
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 19
    Publication Date: 2014-07-23
    Description: In the United States, climate change is likely to increase average daily temperatures and the frequency of heat waves, which can reduce meat and milk production in animals. Methods that livestock producers use to mitigate thermal stress—including modifications to animal management or housing—tend to increase production costs. We use operation-level economic data coupled with finely-scaled climate data to estimate how the local thermal environment affects the technical efficiency of dairies across the United States. We then use this information to estimate the possible decline in milk production in 2030 resulting from climate change-induced heat stress under the simplifying assumptions that the production technology, location of production, and other factors are held constant. For four climate model scenarios, the results indicate modest heat-stress-related production declines by 2030, with the largest declines occurring in the southern states.
    Keywords: D24 - Production ; Cost ; Capital and Total Factor Productivity ; Capacity, Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 20
    Publication Date: 2014-07-23
    Description: A growing body of evidence shows a causal relationship between extreme weather events and civil conflict incidence at the global level. We find that this causality is also valid for droughts and local violent conflicts in a within-country setting over a short time frame in the case of Somalia. We estimate that a one standard deviation increase in drought intensity and length raises the likelihood of conflict by 62%. We also find that drought affects conflict through livestock price changes, establishing livestock markets as the primary channel of transmission in Somalia.
    Keywords: D74 - Conflict ; Conflict Resolution ; Alliances, O12 - Microeconomic Analyses of Economic Development, Q11 - Aggregate Supply and Demand Analysis ; Prices, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 21
    Publication Date: 2013-11-22
    Description: Following the failure of legislative proposals for a multi-sector greenhouse gas (GHG) cap-and-trade policy, the shift in focus to energy sector policies ignores the perhaps substantial potential for GHG mitigation from agriculture/forestry. We review estimates of the current U.S. agriculture sector contribution to GHG mitigation from a portfolio of existing sector policies in bioenergy, conservation, and research and development to compare accomplishments across programs. We then consider what opportunities and challenges may exist for increasing sector GHG mitigation by retargeting and/or expanding current programs—or for bioenergy-related mitigation, implementing proposed new programs—to serve as an alternative to cap-and-trade.
    Keywords: Q16 - R&D ; Agricultural Technology ; Agricultural Extension Services, Q42 - Alternative Energy Sources, Q54 - Climate ; Natural Disasters ; Global Warming, Q58 - Government Policy
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 22
    Publication Date: 2013-11-22
    Description: This paper explores federal policies, other than a carbon price, for reducing emissions from the electric power sector. These policies fall into two major categories: policies that encourage the development of non- or low-emitting energy sources, and regulatory policies under existing legal authority (primarily the Clean Air Act). The paper provides an overview of policy options and a few concrete proposals, along with a summary of insights from economists on their advantages and disadvantages. Economists generally disfavor investment subsidies, but comparing other policy options, including regulatory approaches, technology mandates, and production subsidies, is complex. Excluding existing clean generation from incentive policies is tempting but can lead to perverse outcomes.
    Keywords: L94 - Electric Utilities, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 23
    Publication Date: 2011-11-24
    Description: Looking into the future of agriculture raises three challenging questions: How can agriculture deal with an uncertain future? How do local vulnerabilities and global disparities respond to this uncertain future? How should we prioritise adaptation to overcome the resulting future risks? This paper analyses the broad question of how climate change science may provide some insights into these issues. The data provided for the analysis are the product of our new research on global impacts of climate change in agriculture. The questions are analysed across world regions to provide some thoughts on policy development.
    Keywords: N50 - General, International, or Comparative, Q18 - Agricultural Policy ; Food Policy, Q54 - Climate ; Natural Disasters ; Global Warming
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    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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