Due to consumers’ increased demand for leisure and farmers’ need for income diversification, researchers and policymakers have significant interest in topics related to agritourism. This study provides a supply‐side analysis on agritourism using Taiwan as a case study. Utilising a sample of 720,148 family farms from the 2010 agriculture census survey in Taiwan, we quantify the effects of engaging in the agritourism business on farm income, on farm succession, and on family members’ labour supply decisions between on‐farm and off‐farm work. An analytical framework that combines the doubly robustness regression model and semiparametric estimation is proposed to address the endogeneity bias. Results indicate that participation in agritourism increases farm income and family farm succession. Farms engaging in agritourism also have more family members working on the farm, and fewer family members working off‐farm, compared to farms not engaging in agritourism. Although agritourism enterprises are developed to meet consumers’ demand for leisure, our results show that they also improve the economic welfare of farm households.
Research has examined the impact of green payment programs on agricultural and economic outcomes such as agricultural productivity and farm income. However, it is unclear whether these policies are capitalized into farmland prices. This paper provides some of the first evidence on the causal impact of green payment programs on farmland prices based on evidence from Taiwan. Using administrative farmland transactions data with the ordinary least squares (OLS) method and the semi-parametric smooth coefficient model (SCM), we find that green payment programs increase farmland prices by an average of 3.9 percentage points in townships that implemented the policy. Moreover, the program’s effects on farmland prices are not homogenous, varying by farmland size. The magnitude of this effect is more pronounced on rural farmland prices and across quantiles of the farmland size distribution.
The literature on the capitalization of agricultural policies documents that government subsidies can increase farmland values with attesting empirical evidence found in a variety of agricultural programs. This study argues that the well-documented capitalization effect of agricultural subsidies on farmland prices may not be directly related to the agricultural disaster relief program (ADRP). On the one hand, disaster relief payments can positively capitalize into farmland prices. On the other hand, disaster shocks may result in farm income loss which can decrease farmland prices. This paper empirically examines the overall effect of the ADRP on farmland prices in Taiwan. A unique dataset on 97,864 parcels of farmland transacted in the farmland market is used. By estimating the fixed effect and instrumental variable fixed effect model, a negative overall effect of the incidence and the level of ADRP payments on farmland prices is evident. Moreover, the effect is more pronounced among farmland located in urban areas. This finding provides evidence that the negative stigmatized effect dominates the positive capitalization effect of the ADRP payments on farmland values, especially for farmland located in urban areas (JEL Q15, Q18, Q54).
Most policies designed to reduce land fragmentation involve land consolidation. However, research examining the relationship between agricultural zoning and land fragmentation has not yet been explored. This paper considers the causal impact of an anti-land fragmentation policy on farmland use and farm production inputs relevant to environmental quality using a population-based census survey of farm households in Taiwan. Using the regression discontinuity method, we found that the anti-land fragmentation policy reduced the proportion of farmland used in farm production and environmental conservation by 2.4% and 2.6%, respectively. The policy also impacted the proportion of farmland using fertilizers, irrigation systems, and underground water. Our results show that anti-land fragmentation policies must be carefully designed to avoid negatively impacting farmland use and the environment.
This paper examines the impact of COVID-19 on tourist hotel performance and tourism demand in Taiwan. We use population-based administrative data on tourist hotels and visits with official records of COVID-19 cases to estimate the effect of the disease on the industry. Results show that a 1% increase in the number of confirmed cases of COVID-19 decreased the total revenues, and the room revenues and food and beverage revenues of tourist hotels by 0.33%, 0.47% and 0.26%, respectively. Moreover, the impact of COVID-19 is heterogeneously distributed among tourist hotels of different quality. With respect to mechanism behind the negative effect of COVID-19 on tourist hotel performance, decreases in tourism demand is a driving factor. We find that a 1% increase in the number of confirmed cases of COVID-19 reduces the number of tourist visits by 0.10%.
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