Dynamic Relationship Analysis Between Fresh Weight of Greenhouse-Grown Cucumbers and Greenhouse Environmental Factors Using a Vector Error Correction Model

Key Points

• The research aims to examine the dynamic relationship between cucumber weight gain and greenhouse environmental factors.
• Collected growth and environmental data every 10 minutes from greenhouse-grown cucumbers.
• Analyzed data using a vector error correction model (VECM).
• Conducted unit root and Johansen co-integration tests to confirm long-term relationships among variables.
• Performed Granger causality tests to identify predictive relationships among variables.
• Cucumber weight is most significantly affected by humidity delayed by two periods.
• Humidity and light intensity are critical endogenous variables, while temperature acts as an exogenous variable.
• Granger causality tests confirm that both humidity and light intensity precede cucumber weight gain.
• Short-term cucumber weight changes are primarily influenced by its own shocks, but humidity and light intensity have accumulating long-term contributions.

Abstract