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Table 1 Descriptive statistics for the 30 variables used in the analysis of Balaka IP Malawi

From: Diversity amongst farm households and achievements from multi-stakeholder innovation platform approach: lessons from Balaka Malawi

Variables Definition of the variables Mean SD
Household characteristics
 Household head is female =1 if household head is female; 0 otherwise 0.293 0.457
 Age of household head Age of the household head 49.277 15.716
 Education attained at least primary =1 if household head have at least primary education; 0 otherwise 0.966 0.183
 Married =1 if household head is married; 0 otherwise 0.690 0.465
 Main occupation is farming =1 if the farmer’s main livelihood is farming; 0 otherwise 0.853 0.355
 Land size Land size in hectares (ha) 1.694 1.522
 Household size Household size 5.061 2.079
 Labour Labour fit to work in the fields 3.035 1.487
 Farming experience Farming experience 19.812 12.191
 Credit access =1 if household have access to agricultural credit; 0 otherwise 0.672 0.471
 Extension access =1 If household have access to agricultural extension; 0 otherwise 0.750 0.435
 Group membership =1 if household is a member of any community group through the IP or any other means; 0 otherwise 0.629 0.485
 Received farmer training services =1 if the household have access to training activities within the area, i.e. on crop and or livestock production and marketing; 0 otherwise 0.733 0.444
 Low-wealth category =1 if household is in the low-wealth category; 0 otherwise 0.233 0.424
 High-wealth category =1 if farmer is in the high-wealth category; 0 otherwise 0.224 0.419
Achievements and benefits from IP activities
 Improved market information =1 if farmer Benefited through improve market information access; 0 otherwise 0.414 0.495
 Improved market access =1 if farmer benefited through improved market access; 0 otherwise 0.853 0.355
 Improved income =1 if farmer benefited through increased household income; 0 otherwise 0.828 0.379
 Improved conservation agriculture adoption =1 if improved conservation agriculture adoption (i.e. more land area or crops under conservation agriculture) was a benefit of IP participation; 0 otherwise 0.897 0.306
 Improved soil fertility =1 if farmer benefit through improved soil fertility; 0 otherwise 0.750 0.435
 Improved crop yield =1 if farmer benefited through improvement in crop yields; 0 otherwise 0.164 0.372
 IP_savings eased credit access =1 if farmer benefited from improved credit access through Improved savings from IP activities; 0 otherwise 0.319 0.468
 Negotiation with banks eased credit access =1 if farmer benefited from improved ease of credit access through negotiations done with local banks from IP activities; 0 otherwise 0.060 0.239
 Improved trust eased credit =1 if farmer benefited from ease of access to credit made possible by improved trust amongst villagers through IP activities; 0 otherwise 0.371 0.485
 Number of markets increased =1 if farmer number of produce market outlets have increased through IP activities; 0 otherwise 0.759 0.430
 Food produced 2012/2013 season was enough =1 if food produced in 2013/2014 season was enough to feed the family; 0 otherwise 0.819 0.387
 Food produced 2013/2014 season was enough =1 if food produced in 2013/2014 season was enough to feed the family; 0 otherwise 0.759 0.430
 Improved overall food security =1 if overall household food security improved from IP activities 0.828 0.379
 Farmers built a house =1 if farmer built a new house and income from IP activities contributed immensely; 0 otherwise 0.560 0.498
 Farmers was able to send children to school =1 if farmer was able to send children to school because of benefits from IP activities; 0 otherwise 0.836 0.372
  1. Data were collected from selected smallholder farmers in Balaka District of Southern Malawi in 2014