US aid cuts won't hit Pakistan where it hurts

Washington’s decision last week to suspend $800 million in military aid to Pakistan should not have come as a surprise to anyone who has been following recent developments in the US-Pakistan relationship. But it is difficult to see what the US will gain from such a move.

The Pakistani leadership has expressed concern over US actions and the head of Pakistan’s intelligence services is now heading to Washington for high-level talks, but the prognosis remains poor for the relationship between the two countries.

Adaptation to climate change in regional Australia : a decision-making framework for modelling policy for rural production

A decision-making framework was developed and applied in regional Australia to identify adaptation issues arising in agricultural systems and rural production as a consequence of climate change. Australian agriculture is very susceptible to the adverse impacts of climate change, with major shifts in temperature and rainfall projected. An advantage of the framework is that it provides a suite of tools to aid in the formulation of strategies for sustainable regional development and adaptation. The decision-making framework uses a participatory approach that integrates land suitability analysis with uncertainty analysis and spatial optimisation to determine optimal agricultural land use (at a regional scale) for current and possible future climatic conditions. It thus provides a robust analytic approach to (i) recognise regions under threat of productivity declines, (ii) identify alternative cropping systems better adapted to likely future climatic conditions and (iii) investigate policy actions to improve the sub-optimal situations created by climate change. The decision-making framework and its methods were applied in a case study of the South West Region of Victoria.

Performance assessment, vulnerability, human capital, and the allocation of aid among developing countries

Developing country performance with respect to economic policies and institutional behavior is a common criterion for the allocation of aid among recipient countries. This paper examines how performance is used, arguing that performance is too narrowly defined. A more appropriate definition is one that controls for the economic vulnerability and human capital of developing countries. Econometric analysis of cross-section and panel data is presented that supports this contention. The paper also contends that performance and exogenous economic shocks are likely to be pro-cyclical. This implies a double punishment when aid is allocated according to performance. Evidence of such punishment is also provided. The paper concludes by arguing that economic vulnerability and human capital variables should augment performance measures in aid allocation decision-making.

Application of multi-criteria decision making methods to compression ignition engine efficiency and gaseous, particulate and greenhouse gas emissions

Compression ignition (CI) engine design is subject to many constraints which presents a multi-criteria optimisation problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient, but must also deliver low gaseous, particulate and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming are minimised. Consequently, this study undertakes a multi-criteria analysis which seeks to identify alternative fuels, injection technologies and combustion strategies that could potentially satisfy these CI engine design constraints. Three datasets are analysed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of 1): an ethanol fumigation system, 2): alternative fuels (20 % biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and 3): various biodiesel fuels made from 3 feedstocks (i.e. soy, tallow, and canola) tested at several blend percentages (20-100 %) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (~20 % by energy) at moderate load, high percentage soy blends (60-100 %), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most “preferred” solutions to this multi-criteria engine design problem. Further research is, however, required to reduce Reactive Oxygen Species (ROS) emissions with alternative fuels, and to deliver technologies that do not significantly reduce the median diameter of particle emissions.

Development aid: regulatory impact assessment and conditionality

The purpose of this paper is to examine how Regulatory Impact Assessment (RIA) can contribute to decision-making processes of Official Development Assistance (ODA) loans and grants. The point of departure for the discussion is the phenomenon that RIA, within a context of ODA, is applied by International Finance Institutions mainly in the context of Development Policy Loans, to introduce or strengthen country systems for Regulatory Impact Assessment. However, ODA grants, and loans, particularly when specific policy or regulatory conditions are attached to them, significantly impact economic and social conditions within the beneficiary country. This article examines what role RIA can play in facilitating a coherent decision-making process affecting the ODA allocation within a context of conditionalities requiring the introduction of new, or changes to existing, policies and regulations. The discussion considers the nexus between development aid effectiveness, conditionality and ownership, and RIA. The article argues a justification for applying RIA to ODA loans and grants which carry regulatory and policy conditionalities.