Agricultural Economics, 2023 (vol. 69), issue 11
Impact of project information disclosure on backers‘ investment intensity in reward-based crowdfunding: Evidence from agri-food crowdfunding in ChinaOriginal Paper
Junjuan Du
Agric. Econ. - Czech, 2023, 69(11):427-435 | DOI: 10.17221/249/2023-AGRICECON 
How to encourage backers to increase investment and obtain more funds is an important issue for both initiators and platforms in reward-based crowdfunding. Based on the trust theory and the elaboration likelihood model (ELM), this study explores the impact of project information disclosure on the investment intensity of backers in agri-food crowdfunding. The results show that the initiator type, trademark registration, number of certificates, number of reward types, number of project updates, and number of comments had significant positive effects on backers’ investment intensity. Meanwhile, the investment threshold and lottery had a significantly...
Profit efficiency and its determinants in the agricultural sector: A Bayesian approachOriginal Paper
Marta Arbelo-Pérez, Pilar Pérez-Gómez, Antonio Arbelo
Agric. Econ. - Czech, 2023, 69(11):436-445 | DOI: 10.17221/279/2023-AGRICECON
Most empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity...
Mechanization’s impact on agricultural total factor productivityOriginal Paper
Yuxin Cui
Agric. Econ. - Czech, 2023, 69(11):446-457 | DOI: 10.17221/291/2023-AGRICECON
Agricultural mechanisation is rapidly increasing in China and will have an increasing impact on agricultural total factor productivity (TFP) in the future. This study uses panel data from 27 provinces in China, spanning the years 2001‒2020, to measure agricultural TFP, and estimates the effects of mechanisation on TFP, technical efficiency, and technological progress. The results reveal that the level of agricultural mechanisation can promote TFP. TFP has a cumulative effect in the previous period, which can also significantly affect TFP in the current period. The level of agricultural mechanisation improves...
Farmland accumulation and rural household income: evidence from the Red River Delta region of VietnamOriginal Paper
Thi Long Vy Le, Truong Lam Do, Huu Nhuan Nguyen, Trung Thanh Nguyen
Agric. Econ. - Czech, 2023, 69(11):458-469 | DOI: 10.17221/260/2023-AGRICECON
We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although...