From Advisory Readiness to Executable Adoption: Information Access, Endowment-Based Execution Constraints, and Conservation Practice Uptake among Smallholders

Technical Summary: From Advisory Readiness to Executable Adoption

Problem Statement
Digitally enabled advisory systems are widely promoted to improve agricultural information access and encourage conservation-oriented behaviors. However, a critical gap exists between "advisory readiness" (the formation of intention) and "executable adoption" (the realization of practice). Existing literature often assumes a linear pathway from awareness to intention to behavior, implicitly treating information access as a sufficient condition for adoption. This paper argues that for conservation practices—which are operation-dependent, time-bound, and service-dependent—information access alone cannot overcome material execution constraints. The study investigates how endowment-based execution constraints (e.g., lack of machinery, service coordination, or timing) mediate the relationship between advisory access, psychological readiness, and actual conservation practice uptake among smallholders.

Methodology
The study utilizes a structured 2021 household survey of 360 farm households in Jiujiang and Yichun, Jiangxi Province, China. The analytical approach employs a three-layer evidence chain:

1. Readiness Formation (PLS-SEM): Partial Least Squares Structural Equation Modeling is used to examine the associations between advisory information access (measured via a PCA-based index of perceived availability, accessibility, timeliness, and usability), perceived barriers, Perceived Behavioral Control (PBC), and adoption intention.
2. Behavioral Conversion (Bounded Models): Because the adoption outcome is a count of 11 binary conservation practices (bounded between 0 and 11), the study employs Bounded Binomial models as the primary specification, supplemented by OLS and Poisson models. These models test whether intention and PBC predict adoption intensity.
3. Execution Boundary (Interaction Diagnostics): Interaction models and multi-group analyses examine whether endowment-based execution-capacity constraints (proxied by a standardized index of self-owned machinery quantity and investment, where higher values indicate weaker endowments) reshape the relationship between readiness variables and adoption.

The study treats the data as cross-sectional and associational, avoiding causal claims. PBC is interpreted not merely as psychological confidence but as a "subjective approximation of perceived executability."

Key Results

• Readiness Formation: Advisory information access is significantly associated with lower perceived barriers, higher PBC, and stronger adoption intention. This confirms that digital advisory systems are effective at forming psychological readiness.
• Intention-Behavior Gap: In the pooled sample, adoption intention does not reliably predict the adoption intensity index. The standard intention-to-behavior pathway is weak when measured against multi-practice adoption intensity.
• The Role of Constraints: The relationship between readiness and adoption is conditional on execution constraints.
  • PBC as Perceived Executability: The interaction between PBC and endowment-based execution constraints is positive and significant. Under high constraints (e.g., low machinery endowment), PBC becomes a stronger predictor of adoption. This suggests that when execution is difficult, the farmer's belief in their ability to coordinate resources and timing becomes the critical determinant of action.
  • Intention Attenuation: The association between intention and adoption weakens under high constraints, though this result is less statistically robust than the PBC interaction.
• Land Fragmentation: While land fragmentation (plot number) was tested as a secondary constraint, it did not yield as clear evidence as machinery-based constraints, likely because plot counts are a coarse proxy for the complex coordination costs involved in service access.

Key Contributions

1. Conceptual Distinction: The paper shifts the evaluation of digital advisory systems from average adoption effects to the "conversion boundary" between advisory readiness and realized practice uptake. It distinguishes between the information flow (which creates readiness) and the material execution flow (which enables action).
2. Theoretical Extension of TPB: It extends the Theory of Planned Behavior (TPB) by demonstrating that the intention-behaviour link is conditional on farm-level executability rather than being purely a function of psychological motivation. It reframes PBC as a subjective proxy for perceived executability in constrained environments.
3. Policy Integration: The study connects advisory policy with material service systems, arguing that information instruments must be embedded in machinery coordination, timing support, and local implementation capacity to be effective.

Significance and Claims
The paper claims that advisory systems with digital elements are incomplete when evaluated as stand-alone information tools. They successfully lower cognitive and search costs to form readiness but fail to guarantee adoption when material execution pathways are blocked.

The central finding is that PBC becomes more behaviorally relevant as execution constraints increase. In constrained smallholder systems, the gap between willingness and action is not merely psychological but rooted in transaction costs, service access, and coordination constraints. Therefore, policy interventions should move beyond information delivery to "information-material coordination," linking advisory messages with machinery-service directories, booking tools, and local scheduling systems to create executable pathways for conservation adoption.

The authors maintain a modest stance, acknowledging limitations such as the cross-sectional design (preventing causal inference), the use of proxy variables for execution constraints (rather than direct service-market data), and the lack of province-wide representativeness. The findings are presented as mechanism-diagnostic evidence rather than causal estimates.