Energy use by households in a rural area of the Philippines

Thesis/Dissertation · Wed Jan 01 04:00:00 EST 1986

OSTI ID:5357733

Yust, B L

The relationship between fuels used by households in a rural region of Leyte Province, the Philippines, and the variables that can affect the type and amount of fuel used were examined. Data were drawn from interviews conducted in a previous study with 150 female heads of households from 10 villages near Baybay, Leyte. Within a family-ecosystem framework, a multiple regression model was developed to identify predictors of fuel use in the households. Inputs to the system included the following independent variables representing aspects of household environments; (1) natural--geographic location of the village, (2) technical--cook stove and equipment ownership, (3) economic--distance to fuel sources and number of hectares of land owned, and (4) cultural-cooking fuel preference. Two regression equations were developed. The first used as the dependent variable the number of units of each of four specific fuels used in the household in one week: wood, coconut fronds, and coconut shells, and coconut husks with shells. The second used as the dependent variable an aggregate measure, barrel oil equivalent (boe), of the quantity of all fuels used in the household in one week. The households in this study were primarily dependent on biomass fuels gathered by family members; a limited quantity of commercial fuels was used.

• Research Organization: Ohio State Univ., Columbus (USA)
• OSTI ID: 5357733
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
290100 -- Energy Planning & Policy-- Energy Analysis & Modeling
298000 -- Energy Planning & Policy-- Consumption & Utilization
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320100* -- Energy Conservation
Consumption
& Utilization-- Buildings
ASIA
BIOMASS
DATA ANALYSIS
DEVELOPING COUNTRIES
ENERGY CONSUMPTION
ENERGY SOURCES
FUEL CONSUMPTION
HOUSEHOLDS
ISLANDS
MATHEMATICS
PHILIPPINES
REGRESSION ANALYSIS
RENEWABLE ENERGY SOURCES
RURAL AREAS
STATISTICS
SURVEYS