Table 3 Key livelihood capital variables influencing livelihood strategy selection.

From: Agro-tourism integration and key livelihood capitals: multi-scale impacts on rural residents’ strategic choices in Western Sichuan ethnic villages

Dimension

Variable

Description

Types of variables

Household

Arable land area per capita (hectares / person)

Arable land area / Total family population. The “arable land area” in this study specifically refers to the sown area.

Continuous variable

Grassland area per capita (hectares / person)

Grassland area / Total family population

Continuous variable

The proportion of family labor

Number of laborers in the household / Total family population*100%

Continuous variable

The average education level of the labor force

Average education level of all family members by assigned value: junior high school or below = 1; senior high school; specialized secondary school, or technical school=2, junior college, university, or higher=3. Although individual educational attainment is an ordinal discrete variable, the computed household average is treated as a continuous variable for analysis, as it takes on a range of decimal values and better captures subtle differences between households.

Continuous variable

Per capita annual household income

Family total income / Total family population

Continuous variable

Family savings

The specific amount of family saving (If the family’s debt is a, then this indicator value would be -a)

Continuous variable

Labor force

Arable land area per capita (hectares / person)

Arable land area / Total family population. The “arable land area” in this study specifically refers to the sown area.

Continuous variable

Grassland area per capita (hectares / person)

Grassland area / Total family population

Continuous variable

Education level

Education level of the labor force by assigned value: junior high school or below = 1; senior high school; specialized secondary school, or technical school = 2, junior college, university, or higher = 3

Ordinal variable

Gender

Denotes the gender of the labor force. Male = 1, female = 2

Nominal variable

Age

Denotes the age of the labor force. 18–30 = 1, 31-50 = 2, over 50 = 3

Ordinal Variable