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The dynamic response of China's grain yield to agricultural input shocks and whether these responses differ between short- and long-run horizons remains inadequately understood. This study employs a Dynamic ARDL simulation framework on national data from 1983 to 2023 to dissect the short- and long-run effects of irrigated area, cultivated land, fertilizer use, and agricultural mechanization on grain yield. Long-run elasticities reveal that irrigated area, cultivated land, and fertilizer exert positive and significant effects on grain yield, whereas mechanization exhibits a negative coefficient. Short-run dynamics indicate that only irrigation and cultivated land confer immediate benefits; mechanization and fertilizer effects materialize over multiple years, with a stable and rapid error-correction mechanism confirming swift adjustment toward equilibrium. Dynamic simulations further reveal three robust patterns: positive irrigation and land shocks generate sustained yield gains; mechanization shocks initially suppress yield before a delayed recovery; and fertilizer shocks are fundamentally asymmetric—positive shocks stabilize yields at higher levels, whereas negative shocks paradoxically produce short-run spikes followed by substantial long-run losses. Policy should prioritize gradual fertilizer reduction, irrigation expansion in water-scarce regions, and a fundamental shift in mechanization subsidies from horsepower to yield efficiency.
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Cai et al. (2026) studied this question.
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