Template-Type: ReDIF-Article 1.0 Author-Name: Junjuan Du Author-Workplace-Name: College of Economics and Management, Hefei Normal University, Hefei, Anhui, China Title: Impact of project information disclosure on backers' investment intensity in reward-based crowdfunding: Evidence from agri-food crowdfunding in China Abstract: 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 negative impact on backers' investment intensity. The number of backers played a mediating role in the relationship between independent variables and backers' investment intensity. Based on the research conclusions, practical implications were proposed for initiators, crowdfunding platforms, and regulators. Keywords: agriculture crowdfunding, disclosed project information, investment intensity of backer, trust theory, elaboration likelihood model Journal: Agricultural Economics Pages: 427-435 Volume: 69 Issue: 11 Year: 2023 DOI: 10.17221/249/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/249/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202311-0001.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:11:id:249-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Thi Long Vy Le Author-Workplace-Name: Faculty of Economics and Rural Development, Vietnam National University of Agriculture, Hanoi, Vietnam Author-Name: Truong Lam Do Author-Workplace-Name: Faculty of Economics and Rural Development, Vietnam National University of Agriculture, Hanoi, Vietnam Author-Name: Huu Nhuan Nguyen Author-Workplace-Name: Faculty of Economics and Rural Development, Vietnam National University of Agriculture, Hanoi, Vietnam Author-Name: Trung Thanh Nguyen Author-Workplace-Name: Institute for Environmental Economics and World Trade, Leibniz University Hannover, Hannover, Germany Title: Farmland accumulation and rural household income: evidence from the Red River Delta region of Vietnam Abstract: 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 the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income. Keywords: land accumulation, multinomial logit model, propensity score matching Journal: Agricultural Economics Pages: 458-469 Volume: 69 Issue: 11 Year: 2023 DOI: 10.17221/260/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/260/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202311-0002.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:11:id:260-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Marta Arbelo-Pérez Author-Workplace-Name: Department of Management, Instituto Universitario de la Empresa, University of La Laguna, La Laguna, Tenerife, Spain Author-Name: Pilar Pérez-Gómez Author-Workplace-Name: Department of Management, Instituto Universitario de la Empresa, University of La Laguna, La Laguna, Tenerife, Spain Author-Name: Antonio Arbelo Author-Workplace-Name: Department of Management, Instituto Universitario de la Empresa, University of La Laguna, La Laguna, Tenerife, Spain Title: Profit efficiency and its determinants in the agricultural sector: A Bayesian approach Abstract: 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 across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed. Keywords: Bayesian estimation, heterogeneity, overall performance, stochastic frontier approach Journal: Agricultural Economics Pages: 436-445 Volume: 69 Issue: 11 Year: 2023 DOI: 10.17221/279/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/279/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202311-0003.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:11:id:279-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Yuxin Cui Author-Workplace-Name: School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, China Title: Mechanization's impact on agricultural total factor productivity Abstract: 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 technical efficiency and promotes technological progress, but this is not statistically significant. Regional heterogeneity exists in mechanisation's effect on agricultural TFP, with the largest effect occurring in the group with the lowest TFP. Therefore, efforts to promote the use of agricultural machinery should increase. China's agricultural machinery subsidy policy must be further adjusted, and agricultural machinery research investments increased, while the government must address the heterogeneity between regions and focus on developing agricultural mechanisation in the central and western regions. Keywords: agriculture, agricultural development, machine, rate of production, technical efficiency, technological progress Journal: Agricultural Economics Pages: 446-457 Volume: 69 Issue: 11 Year: 2023 DOI: 10.17221/291/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/291/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202311-0004.txt Handle: RePEc:caa:jnlage:v:69:y:2023:i:11:id:291-2023-AGRICECON