title: The demand, selection, and health impacts of household energy in Pakistan

authors: Irfan, Muhammad

subjects: Household Energy

abstract: Globally, almost four million people die prematurely annually due to indoor air pollution (IAP), and millions are facing serious diseases. These adverse health impacts place a great burden on national health budgets, increase medical expenditures, and reduce the overall productivity of the economy. Worryingly, almost three billion people still depend upon solid fuels such as firewood, biomass, crop residues, animal dung, and coal, which are the major contributors to IAP. This thesis investigates the causal relationship between solid fuel consumption and both child mortality and life expectancy, the price and non-price determinants of solid fuel use (using Pakistan as a case study), and finally uses cost-benefit analysis (CBA) to evaluate alternative policies. Specifically, the thesis includes four empirical studies related to solid fuel use and IAP.
In the first study, panel data covering 101 countries over the period 2000-2012 were used to examine the causal impacts of solid fuel use on health outcomes. Utilizing an instrumental variables approach, it was concluded that solid fuel combustion causes increases in child mortality and decreases in male and female life expectancy. 
The second study investigated the factors associated with the selection of solid and cleaner fuels by households. Using data from the Pakistan Social and Living Standards Measurement (PSLM) Survey 2013-14, the study identified that agricultural occupation, large family size, and having cattle, were associated with solid fuel consumption. In contrast, higher income, higher education, and living in an urban area were factors associated with cleaner fuel consumption. However, the study concluded that income growth alone will not be sufficient to ensure that households switch to cleaner fuel use, particularly households in rural areas. Hence, the results challenge the practical aspects of countries moving along the Environmental Kuznets Curve, and suggest that in order to reduce IAP, direct policy intervention will be required.
The third study further explores household energy use by estimating the own and cross-price elasticities of household energy sources in Pakistan. For this, three PSLM data sets (2007-08, 2011-12, and 2013-14) were pooled and a Linear Approximate Almost Ideal Demand System model was estimated. The study found that cleaner fuels (natural gas, and liquefied petroleum gas (LPG)) were more price elastic than solid fuels, implying that lowering the prices of these cleaner fuels would lead many households to adopt them. In the final study, a CBA of several policy options for encouraging reductions in solid fuel use was undertaken. The study evaluated five major policy options: (1) natural gas; (2) LPG; (3) electric stoves; (4) biogas plants; and (5) improved cook stoves. The World Health Organization’s guidelines for CBA were followed and it was found that encouraging LPG adoption has the highest benefit-cost ratio (BCR) of 3.68, while improved cook stoves had a BCR of 0.58. Encouraging natural gas adoption, electric stoves, and biogas plants have BCRs of 2.87, 2.22, and 1.39 respectively. The study concluded that, in order to mitigate the negative impacts of IAP, Pakistan should encourage cleaner energy sources in preference to adoption of alternative cooking appliances.

text: The demand, selection, and health impacts of household energy in Pakistan Globally, almost four million people die prematurely annually due to indoor air pollution (IAP), and millions are facing serious diseases. These adverse health impacts place a great burden on national health budgets, increase medical expenditures, and reduce the overall productivity of the economy. Worryingly, almost three billion people still depend upon solid fuels such as firewood, biomass, crop residues, animal dung, and coal, which are the major contributors to IAP. This thesis investigates the causal relationship between solid fuel consumption and both child mortality and life expectancy, the price and non-price determinants of solid fuel use (using Pakistan as a case study), and finally uses cost-benefit analysis (CBA) to evaluate alternative policies. Specifically, the thesis includes four empirical studies related to solid fuel use and IAP.
In the first study, panel data covering 101 countries over the period 2000-2012 were used to examine the causal impacts of solid fuel use on health outcomes. Utilizing an instrumental variables approach, it was concluded that solid fuel combustion causes increases in child mortality and decreases in male and female life expectancy. 
The second study investigated the factors associated with the selection of solid and cleaner fuels by households. Using data from the Pakistan Social and Living Standards Measurement (PSLM) Survey 2013-14, the study identified that agricultural occupation, large family size, and having cattle, were associated with solid fuel consumption. In contrast, higher income, higher education, and living in an urban area were factors associated with cleaner fuel consumption. However, the study concluded that income growth alone will not be sufficient to ensure that households switch to cleaner fuel use, particularly households in rural areas. Hence, the results challenge the practical aspects of countries moving along the Environmental Kuznets Curve, and suggest that in order to reduce IAP, direct policy intervention will be required.
The third study further explores household energy use by estimating the own and cross-price elasticities of household energy sources in Pakistan. For this, three PSLM data sets (2007-08, 2011-12, and 2013-14) were pooled and a Linear Approximate Almost Ideal Demand System model was estimated. The study found that cleaner fuels (natural gas, and liquefied petroleum gas (LPG)) were more price elastic than solid fuels, implying that lowering the prices of these cleaner fuels would lead many households to adopt them. In the final study, a CBA of several policy options for encouraging reductions in solid fuel use was undertaken. The study evaluated five major policy options: (1) natural gas; (2) LPG; (3) electric stoves; (4) biogas plants; and (5) improved cook stoves. The World Health Organization’s guidelines for CBA were followed and it was found that encouraging LPG adoption has the highest benefit-cost ratio (BCR) of 3.68, while improved cook stoves had a BCR of 0.58. Encouraging natural gas adoption, electric stoves, and biogas plants have BCRs of 2.87, 2.22, and 1.39 respectively. The study concluded that, in order to mitigate the negative impacts of IAP, Pakistan should encourage cleaner energy sources in preference to adoption of alternative cooking appliances.

year: 2019

title: Maximum margin principal components

authors: Luo, Xianghui

subjects: Machine learning

abstract: Principal Component Analysis (PCA) is a very successful dimensionality reduction technique, widely used in predictive modeling. A key factor in its widespread use in this domain is the fact that the projection of a dataset onto its first $K$ principal components minimizes the sum of squared errors between the original data and the projected data over all possible rank $K$ projections. Thus, PCA provides optimal low-rank representations of data for least-squares linear regression under standard modeling assumptions. On the other hand, when the loss function for a prediction problem is not the least-squares error, PCA is typically a heuristic choice of dimensionality reduction -- in particular for classification problems under the zero-one loss. In this paper we target classification problems by proposing a straightforward alternative to PCA that aims to minimize the difference in margin distribution between the original and the projected data. Extensive experiments show that our simple approach typically outperforms PCA on any particular dataset, in terms of classification error, though this difference is not always statistically significant, and despite being a filter method is frequently competitive with Partial Least Squares (PLS) and Lasso on a wide range of datasets.

text: Maximum margin principal components Principal Component Analysis (PCA) is a very successful dimensionality reduction technique, widely used in predictive modeling. A key factor in its widespread use in this domain is the fact that the projection of a dataset onto its first $K$ principal components minimizes the sum of squared errors between the original data and the projected data over all possible rank $K$ projections. Thus, PCA provides optimal low-rank representations of data for least-squares linear regression under standard modeling assumptions. On the other hand, when the loss function for a prediction problem is not the least-squares error, PCA is typically a heuristic choice of dimensionality reduction -- in particular for classification problems under the zero-one loss. In this paper we target classification problems by proposing a straightforward alternative to PCA that aims to minimize the difference in margin distribution between the original and the projected data. Extensive experiments show that our simple approach typically outperforms PCA on any particular dataset, in terms of classification error, though this difference is not always statistically significant, and despite being a filter method is frequently competitive with Partial Least Squares (PLS) and Lasso on a wide range of datasets.

year: 2017

title: Are You Listening? The Voice of Waitaha, A Forgotten People.

authors: Reese, Alistair William

subjects: maori

abstract: This thesis is a study of Waitaha, a Bay of Plenty iwi that has been marginalized through
the loss of most of its land, much of its language, tikanga, and mana. The purpose of the
work is to communicate, through the 'voice' and the history of the people, a chronicle, of
their alienation to a Pākehā audience that remains in large part ignorant and distant from
their plight.
The thesis is motivated by an academic responsibility to the Treaty of Waitangi and the
lack of understanding to the present needs of Māori as evidenced for example, by the
support for the January 2004 Orewa speech, by the leader of the National Party, Don
Brash. It is predicated upon the understanding that this response, which minimalises the
impact of colonization upon Māori, is constructed by many, through a convenience of
distance. It is motivated also on the understanding that most Pākehā who now inhabit the rohe of Waitaha, are completely ignorant of the identity of tangata whenua. It is hoped
that the presentation of the Waitaha story, will provoke a greater empathy from Pākehā,
and thereby facilitate an environment, whereby grievances can be addressed in an
environment of greater understanding.
The thesis is a qualitative based research exercise, carried out in consultation with
kaumātua and other Waitaha members, and attempts to acknowledge and integrate current kaupapa Māori epistemologies with traditional Western academic methodology.
The study uses interviews, Waitangi Tribunal evidence, and other historical references to
construct a narrative that conveys something of the 'voice' of Waitaha. Specifically, it
outlines a chronology of Waitaha settlement, followed by a description of their encounter
with Pākehā, the consequent alienation of the majority of their lands by the Crown, and
concludes, with a glimpse into the current circumstance of Manoeka, the papakainga of
Waitaha.

text: Are You Listening? The Voice of Waitaha, A Forgotten People. This thesis is a study of Waitaha, a Bay of Plenty iwi that has been marginalized through
the loss of most of its land, much of its language, tikanga, and mana. The purpose of the
work is to communicate, through the 'voice' and the history of the people, a chronicle, of
their alienation to a Pākehā audience that remains in large part ignorant and distant from
their plight.
The thesis is motivated by an academic responsibility to the Treaty of Waitangi and the
lack of understanding to the present needs of Māori as evidenced for example, by the
support for the January 2004 Orewa speech, by the leader of the National Party, Don
Brash. It is predicated upon the understanding that this response, which minimalises the
impact of colonization upon Māori, is constructed by many, through a convenience of
distance. It is motivated also on the understanding that most Pākehā who now inhabit the rohe of Waitaha, are completely ignorant of the identity of tangata whenua. It is hoped
that the presentation of the Waitaha story, will provoke a greater empathy from Pākehā,
and thereby facilitate an environment, whereby grievances can be addressed in an
environment of greater understanding.
The thesis is a qualitative based research exercise, carried out in consultation with
kaumātua and other Waitaha members, and attempts to acknowledge and integrate current kaupapa Māori epistemologies with traditional Western academic methodology.
The study uses interviews, Waitangi Tribunal evidence, and other historical references to
construct a narrative that conveys something of the 'voice' of Waitaha. Specifically, it
outlines a chronology of Waitaha settlement, followed by a description of their encounter
with Pākehā, the consequent alienation of the majority of their lands by the Crown, and
concludes, with a glimpse into the current circumstance of Manoeka, the papakainga of
Waitaha.

year: 2006