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The Colombian agricultural sector has the capacity and ambition to reduce its land use and GHG emissions through sustainable intensification of livestock production. However, an appraisal of the impact of achieving such goal on the availability of land to produce bioenergy crops remains lacking. Moreover, previous assessments of the role bioenergy in Colombia have mostly focused on residues, in isolation of land use policies.To address this gap, we propose a hybrid statistical land balancing and suitability allocation approach to estimate long term projections of the cost–supply potential of bioenergy crops and residues. Regionalized to the departmental level, this approach could provide higher resolution than global assessments, while avoiding the complexity of spatially explicit methods. We investigated three scenarios covering the uncertainty of socioeconomic drivers and agricultural and livestock productivity factors.Our results suggest that pursuing progressive land use policies (SSP1 scenario) could release up to 14 Mha of land by 2050, which could be available to produce perennial bioenergy crops. The cumulative potential of crops in SSP1 could reach up to 2,200 PJ, where about half of this potential could be attained at 7 $ GJ -1 or less. Potential supply centers could be identified in Orinoquia, Andean, and Caribbean regions for energy crops and the Pacific region for residues. Our findings indicate that there could be an opportunity to create synergy between the low carbon development strategies of the land use and energy sectors in Colombia.

Building owners and governments face constraints in financing the transformation and development of low-carbon buildings and cities. Banks and other finance providers are often risk averse and unwilling to provide funds for such development and transformation. For some time now, governments and non-governmental organisations have experimented with novel forms of financing for low-carbon developments and transformations – often referred to as ‘eco-financing’. This article studies six such governance instruments from Australia, the Netherlands and the USA to better understand their value and limits.

More than40%of US grain is used for energy due to the Renewable Fuel Mandate (RFS). There are no studies of the global distributional consequences of this purely domestic policy. Using micro‐level survey data, we trace the effect of the RFS on world food prices and their impact on household level consumption and wage incomes in India. We first develop a partial equilibrium model to estimate the effect of the RFS on the price of selected food commodities—rice, wheat, corn, sugar, and meat and dairy, which together provide almost70%of Indian food calories. Our model predicts that world prices for these commodities rise by 8–16%due to the RFS. We estimate the price pass‐through to domestic Indian prices and the effect of the price shock on household welfare through consumption and wage incomes. Poor rural households suffer significant welfare losses due to higher prices of consumption goods, which are regressive. However, they benefit from a rise in wage incomes, mainly because most of them are employed in agriculture. Urban households also bear the higher cost of food, but do not see a concomitant rise in wages because only a small fraction of them work in food‐related industries. Welfare losses are greater among urban households. However, more poor people in India live in villages, so rural poverty impacts are larger in magnitude. We estimate that the mandate leads to about 25 million new poor: 21 million in rural and 4 million in the urban population.

Gollier and Weitzman (2010) show that if future consumption discount rates are uncertain and persistent, the consumption discount rate should decline to its lowest possible value for events in the most distant future. In this paper, I argue that the lowest possible growth rate of consumption per capita in the distant future is zero (assuming that humans do not die out). Substituting in the Ramsey rule shows then that the lowest possible consumption discount rate for the distant future is equal to the lowest possible utility discount rate of the population (according to the descriptive approach to parameterizing the Ramsey rule) or to the utility discount rate of the social evaluator (according to the prescriptive approach). In both cases, there are strong reasons to set the consumption discount rate for the distant future at a value which is virtually zero.

Economic models suggest that in many cases, market leakage rates of greenhouse gas abatement reach the two-digit percentage range. Consequently, the Marrakesh Accords require Clean Development Mechanism (CDM) projects to account for leakage. Despite this, most project proponents neglect market leakage for their project, because the influence of an individual project on market prices seems to be negligible. Insufficient leakage accounting is facilitated by a lack of theories and applicable proposals regarding the quantification and attribution of leakage effects. The aim of this paper is to develop a proposal for the attribution of market leakage effects to CDM projects. To this purpose, we identify the transmission mechanisms for CDM project leakage, investigate the current practice of leakage accounting, and analyse alternative attribution methods for leakage effects that are transmitted through price changes. We find that project-specific approaches must fail to take account of such leakage effects. Consequently, we propose to estimate aggregate market leakage effects and attribute them proportionally to individual projects. Our proposal is based on commodity-specific leakage factors which can be applied by project developers to any emission reductions that are associated with a project's leakage-relevant demand or supply changes. The proposal is conservative, equitable, incentive compatible and applicable at manageable costs.

AbstractDespite the growing number of empirical studies on foreign direct investment (FDI) and energy efficiency (EE) as they relate to green growth, there remains an empirical research gap with respect to whether EE can engender positive synergy with FDI to foster inclusive green growth (IGG) in Africa. Also, little has been done to show the IGG gains from improving EE in both the short and long terms. Thus, this paper aims to investigate whether there exists a relevant synergy between EE and FDI in fostering IGG in Africa by using macrodata for 23 countries from 2000 to 2020. According to our findings, which are based on dynamic GMM estimator, FDI hampers IGG in Africa, while EE fosters IGG. Notably, in the presence of EE, the environmental-quality-deterioration effect of FDI is reduced. Additional evidence by way of threshold analysis indicates that improving EE in Africa generates positive sustainable development gains in both the short and long terms. This study suggests that a country’s drive to attract FDI needs to be accompanied by appropriate policy options to promote energy efficiency.JEL Codes: F2; F21; O11; O44; O55; Q01; Q43; Q56

Earlier meta-analyses of the economic impact of climate change are updated with more data, with three new results: (1) The central estimate of the economic impact of global warming is always negative. (2) The confidence interval about the estimates is much wider. (3) Elicitation methods are most pessimistic, econometric studies most optimistic. Two previous results remain: (4) The uncertainty about the impact is skewed towards negative surprises. (5) Poorer countries are much more vulnerable than richer ones. A meta-analysis of the impact of weather shocks reveals that studies, which relate economic growth to temperature levels, cannot agree on the sign of the impact whereas studies, which make economic growth a function of temperature change do agree on the sign but differ an order of magnitude in effect size. The former studies posit that climate change has a permanent effect on economic growth, the latter that the effect is transient. The impact on economic growth implied by studies of the impact of climate change is close to the growth impact estimated as a function of weather shocks. The social cost of carbon shows a similar pattern to the total impact estimates, but with more emphasis on the impacts of moderate warming in the near and medium term.