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Table 5 Descriptive statistics of major parameters explaining adoption in the study area of Gilgit-Baltistan, Northern Pakistan

From: A stony track towards innovation in remote highland regions: agricultural intensification in the apricot sector of Northern Pakistan

Name of variable and unit

Variable description

Type of variable

Min

Central tendency1

Max

SD

Farm and Farmers’ characteristics

 Education (1 low, 5 high)

Level of formal education

Categorical

1

2

5

 

 Male

Gender of the farmer

Nominal

0

0.88

1

0.32

 Age

Age of farmer

Continuous

20

49

78

12

 HH seize

Number of people in one HH

Continuous

3

9.4

22

3.9

 Phone

Access to a phone by females

Nominal

0

0.44

1

0.5

 Income (US$)

Total income of HH per year

Continuous

158

4 014

19 136

3 261

 Loan

A loan taken in the last 12 months

Nominal

0

0.29

1

0.45

 Land (ha)

Land for apricot production

Continuous

0

0.3

5.1

0.6

 Experience

Number of years cultivating apricots

Continuous

2

20.2

53

11.8

 Varieties

Number of cultivated apricot varieties

Continuous

2

6.01

40

5.95

 Trees

Number of apricot trees

Continuous

6

60

550

80

 Membership

Member of famer association

Nominal

0

0.6

1

0.49

 Assets

HH owns mechanized farm equipment (female answer)

Nominal

0

0.11

1

0.31

 Attitude

Preference for apricot cultivation

Nominal

0

0.95

1

0.22

Production characteristics

 Fresh sold (kg)

Weight of fresh apricots sold

Continuous

0

267

2000

535

 Fresh price (US$)

Price of fresh apricots

Continuous

0.11

0.19

0.25

0.06

 Dry yield (kg)

The total yield of dry apricots

Continuous

0

215

1080

193

 Dry sold (kg)

Weight of dry apricots sold

Continuous

0

153

1000

171

 Dry price (US$)

Price of dry apricots

Continuous

0.08

0.81

2.6

0.51

 Working hours (h)

Working hours for apricots average per day during the season

Continuous

0

5.1

16

3.4

 Income apricot (US$)

Total income of HH from apricot production per season

Continuous

0

158

1 458

215

 Relative income (US$)

Income derived per tree

Continuous

0

3.8

25.7

5.2

Knowledge

 Training

Received training for apricot production and processing

Nominal

0

0.45

1

0.50

 Gratis training desired

Gratis training desired

Nominal

0

0.90

1

0.30

 Training desired

Training for money desired

Nominal

0

0.86

1

0.35

Apricot management

 Cutting

Weeding through cutting grass

Nominal

0

0.72

1

0.45

 Grazing

Weeding through animals

Nominal

0

0.86

2

0.38

 Irrigation (h)

Time used for irrigation

Continuous

0.2

3.5

24

4.1

  1. 1Central tendency (average) values dependent on the scale of data: continuous/numerical data = arithmetic mean; categorical/ordinal = mode; nominal/binary (dummy variables) = proportion of positive response