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Table 1 Definition of variables.

From: Impact of informal institutions on youth agribusiness participation in Southern Benin

Variables

Definition

The nature of variables in the database

The nature of variable after transformation

Dependent variable: participation in the agribusiness sector

PART

Participation in the agribusiness sector

Binary (1 = yes; 0 = No)

Binary (1 = yes; 0 = No)

Socio-economic characteristics

AGE

Age of the respondent (in years)

Continuous

Continuous

GENDER

Gender of the respondent

Binary (0 = female, 1 = male)

Binary (0 = female, 1 = male)

MATR

Marital status

Categorical*

Binary (0 = single, 1 = married and other)

LOCAT

Residential area

Categorical**

Binary (0 = rural area; 1 = urban and suburban area)

FATHEDU

Father’s educational level

Ordinal variable1

Ordinal variable1

RESPEDU

Respondent’s educational level

Ordinal variable1

Ordinal variable1

FATHERINCOM

Father’s income

Interval variable2

Interval variable2

RESPINCOM

Respondent’s income

Interval variable2

Interval variable2

LAND

Access to land

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

CREDIT

Access to credit

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

TECHN

Access to technical knowledge

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

Informal institutions

TRUST

Trust in people around

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

OBED

Obedience is not a shared societal value

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

CONTR

Have control over their life

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

WOM

Women's participation in the agribusiness sector is a shared societal value

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

YOUTH

Youth participation in the agribusiness sector is a shared societal value

Seven-point Likert scale3

Binary (0 = Low; 1 = High)

Generated variables

INST_1

Index of informal institutions

Index computed with principal component analysis

INFINST

Informal institutions

Binary (0 if \(\mathrm{Inst}1\le \mathrm{its mean}\); 1 if \(\mathrm{Inst}1 >\mathrm{its mean}\))

FORINST

Formal institutions

Seven-point Likert scale3

Binary (0 = Low judiciary system quality; 1 = good judiciary system)

  1. 11 = Illiterate; 2 = Primary school, 3 = Secondary school 1; 4 = Secondary school 2; 5 = Bachelor; 6 = Master and 7 = Doctorate
  2. 21 = No income; 2 = Earn less than 50.000 F CFA, 3 = Earn between 50.000 F CFA to 100.000 F CFA; 4 = Earn between 100.000 F CFA and 150.000 and 5 = earn above 150.000 F CFA. F CFA is the unit of account of the local currency. At the time the survey was carried over, 1F CFA is worth 0.0017 dollar American
  3. 31 = Not at all; 2 = Very weakly; 3 = Weakly; 4 = Moderately; 5 = Strongly; 6 = Very strongly; 7 = Extremely. The Likert scale captures the extent to which the respondent agrees on the assertions measuring the variables
  4. *1 = Single; 2 = Married; 3 = Divorced; 4 = Widow; 5 = Separated
  5. **1 = Urban area, 2 = Suburban area and 3 = Rural area