94
A. Pratiwi et al.
Fig. 5.3 Matching result
exposed to more information channels compared to those who do not, having information may not necessarily lead to adoption due to perceived risks and benefits associated with the technologies. However, farmers in partnership may have changed
their expected returns of using such technologies, including the diversification, after
obtaining significantly more income from joining the partnership. Furthermore, their
strong reinforcement from the network inside their locality or farmers group may
have augmented the popularity of such technologies, resulting in continuous usage
of such practices.
To further enhance the robustness of our analysis, we conduct inverse propensity
score weighted regression on each of the outcome in Table 5.5. We observe positive
effects of company partnership on the outcome variables, yielding 1% statistical
significance particularly for probability of grafting adoption and higher farm income,
while retain significant results for the remaining indicators.
Discussion and Policy Recommendation
This chapter shows that well-connected farmers with better access for mobility have
higher propensity to join the company–community partnership initiatives, as determinants of membership in the partnership include strong network intensity with fellow
farmers group members and possession of motorized transportation. We also show
that company–community partnership managed to increase the adaptive capacity of
their smallholder clienteles through two channels. First is through improved farm
incomes resulted from premium coffee selling prices, which is the primary feature of
the partnership agreement. And second is through the usage of resource-conserving
A. Pratiwi et al.
Fig. 5.3 Matching result
exposed to more information channels compared to those who do not, having information may not necessarily lead to adoption due to perceived risks and benefits associated with the technologies. However, farmers in partnership may have changed
their expected returns of using such technologies, including the diversification, after
obtaining significantly more income from joining the partnership. Furthermore, their
strong reinforcement from the network inside their locality or farmers group may
have augmented the popularity of such technologies, resulting in continuous usage
of such practices.
To further enhance the robustness of our analysis, we conduct inverse propensity
score weighted regression on each of the outcome in Table 5.5. We observe positive
effects of company partnership on the outcome variables, yielding 1% statistical
significance particularly for probability of grafting adoption and higher farm income,
while retain significant results for the remaining indicators.
Discussion and Policy Recommendation
This chapter shows that well-connected farmers with better access for mobility have
higher propensity to join the company–community partnership initiatives, as determinants of membership in the partnership include strong network intensity with fellow
farmers group members and possession of motorized transportation. We also show
that company–community partnership managed to increase the adaptive capacity of
their smallholder clienteles through two channels. First is through improved farm
incomes resulted from premium coffee selling prices, which is the primary feature of
the partnership agreement. And second is through the usage of resource-conserving