Template-Type: ReDIF-Article 1.0 Author-Name: editors Title: Index Contents AGRICECON volume 66 (2020) Journal: Agricultural Economics Pages: I-III Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/13145-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/13145-AGRICECON.html File-Format: text/html Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:13145-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Douglas MacKinnon Author-Workplace-Name: Department of Agriculture Economics and Rural Development, Faculty of Agriculture and Life Sciences, University of Maribor, Maribor, Slovenia Author-Name: Martin Pavlovič Author-Workplace-Name: Department of Agriculture Economics and Rural Development, Faculty of Agriculture and Life Sciences, University of Maribor, Maribor, Slovenia Author-Workplace-Name: Slovenian Institute of Hop Research and Brewing, Žalec, Slovenia Title: A Bayesian analysis of hop price fluctuations Abstract: This paper quantifies the correlation between U.S. season average prices for hops with U.S. hop stocks and U.S. hop hectarage. The Hop Equilibrium Ratio, a measure of the supply/demand relationship for U.S. hops, was introduced. Through the Bayesian inference method, the authors used these data to calculate the effect an incremental change to one metric had on the probability of directional changes of future U.S. season average prices (SAP). Between 2010 and 2020, the dominance of proprietary varieties created unprecedented cartel-like powers offering opportunities for supply- and price-management. Research results will enable more accurate forecasting and greater price stability in the hop industry. Keywords: alpha-acids, Bayesian theorem, brewing industry, economies of scale, equilibrium, hop market Journal: Agricultural Economics Pages: 519-526 Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/239/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/239/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202012-0002.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:239-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Zaid Ashiq Khan Author-Workplace-Name: College of Economics and Management, Northwest A&F University, Yangling, Shaanxi, China Author-Name: Mansoor Ahmed Koondhar Author-Workplace-Name: College of Economics and Management, Northwest A&F University, Yangling, Shaanxi, China Author-Name: Noshaba Aziz Author-Workplace-Name: College of Economics and Management, Northwest A&F University, Yangling, Shaanxi, China Author-Name: Uzair Ali Author-Workplace-Name: College of Economics and Management, Northwest A&F University, Yangling, Shaanxi, China Author-Name: Liu Tianjun Title: Revisiting the effects of relevant factors on Pakistan's agricultural products export Abstract: Pakistan is an agriculture-based country, so the agricultural sector is known as the backbone of the national economy. Considering the national economy and the agricultural industry, it is necessary to focus on earnings through agricultural products export to improve the livelihood of local farmers. Therefore, the current study aimed to analyse the short-term and long-term factors affecting agricultural products export. The annual time series of 1976-2016 were collected from World Bank indicators, the Food and Agriculture Organization, and the Statistical Bureau of Pakistan. An autoregressive distributed lag, along with a vector error correction model, was employed. A cointegration test showed long-term associations between the selected variables. While the autoregressive distributed lag model confirmed the short-term correlation between area sown and crop production towards agricultural products export, there is no long-term relationship between the selected variables. In addition, the bidirectional correlation between employment in agriculture and agricultural products export was confirmed by the vector error correction model. Therefore, it is essential to increase agricultural production with the available natural resources to increase foreign earnings. Keywords: agricultural employment, agricultural products export, area sown, influencing factors, population Journal: Agricultural Economics Pages: 527-541 Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/252/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/252/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202012-0003.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:252-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Xue Qu Author-Workplace-Name: Graduate School of Agricultural and Life Sciences, Department of Agricultural and Resource Economics, The University of Tokyo, Tokyo, Japan Author-Name: Daizo Kojima Author-Workplace-Name: Graduate School of Agricultural and Life Sciences, Department of Agricultural and Resource Economics, The University of Tokyo, Tokyo, Japan Author-Name: Yukinaga Nishihara Author-Workplace-Name: Organization for Regional and Inter-regional Studies, Waseda University, Tokyo, Japan Author-Name: Laping Wu Author-Workplace-Name: College of Economics and Management, Department of Economics and Trade, China Agricultural University, Beijing, P.R. China Author-Name: Mitsuyoshi Ando Author-Workplace-Name: Graduate School of Agricultural and Life Sciences, Department of Agricultural and Resource Economics, The University of Tokyo, Tokyo, Japan Title: Impact of rice harvest loss by mechanization or outsourcing: Comparison of specialized and part-time farmers Abstract: One-third of the world's food is lost and wasted each year, making reducing food loss and waste one of the promising ways to ensure global food security. This study conducts a comparative analysis of the differences among the factors affecting rice harvest loss of specialized and part-time farmers. Data collected from 1 106 farmers in China were analysed using Tobit regression. The results indicated the following: i) The average rice harvest loss rate of part-time farmers is higher than that of specialized farmers. ii) Among the variables considered, most factors not only increase the loss of part-time and non-rice specialized farmers but also reduce the loss of rice specialized farmers. iii) The use of combine harvesters and the purchase of outsourcing services increases the loss of part-time and non-rice specialized farmers but can reduce the loss of rice specialized farmers. iv) In addition to weather and pests, planting area, terrain conditions, operating attitude, and labour shortage also affect the loss. These findings are valuable to understand how the loss occurs and the differences between specialized and part-time farmers, which will help develop targeted interventions to reduce the loss. Keywords: food loss, mechanical harvesting, outsourcing service, part-time farming, professional farmer Journal: Agricultural Economics Pages: 542-549 Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/253/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/253/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202012-0004.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:253-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Yihui Chen Author-Workplace-Name: Anxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou, China Author-Workplace-Name: School of Economics and Management, Fuzhou University, Fuzhou, China Author-Workplace-Name: Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden Author-Name: Minjie Li Author-Workplace-Name: School of Economics and Management, Fuzhou University, Fuzhou, China Author-Name: Assem Abu Hatab Author-Workplace-Name: Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden Author-Workplace-Name: Department of Economics and Rural Development, Arish University, Al-Arish, Egypt Title: A spatiotemporal analysis of comparative advantage in tea production in China Abstract: Tea is one of the most important cash crops and widely consumed beverages worldwide and plays a significant role in rural development, poverty reduction, and food security in many developing countries. Nevertheless, very few empirical studies have analysed the comparative advantage of the tea industry in developing countries. Taking Fujian Province, China, as the object of a case study, we carried out a spatiotemporal analysis of the determinants of the tea industry's revealed comparative advantage (RCA) during the period 2010-2018. The empirical analysis relied on a calculation of RCA and an estimation of a geographically and temporally weighted regression (GTWR) using data from 67 counties in Fujian. The results confirmed that the effect and significance of RCA determinants vary considerably across different spatial areas and over time. With the exception of 'disposable income', all other determinants had a positive and statistically significant effect on a region's RCA in the tea industry. Specifically, the results indicated that regional specialisation had the strongest positive effect on tea competitiveness. Local governments' sectoral strategies and institutional policies were essential elements in building and maintaining regional tea competitiveness. Infrastructure development, which traditionally went hand-in-hand with urbanisation processes, had a significant impact on tea competitiveness. These findings imply that competitiveness of the tea sector can be improved by adopting local polices that support producers and processors through fiscal investment, technology provision, and capacity building as well as measures to improve rural road infrastructure and link small farmers to other actors along tea supply chains. Keywords: geographically and temporally weighted regression, regional specialisation, revealed comparative advantage, spatial analysis, temporal analysis Journal: Agricultural Economics Pages: 550-561 Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/85/2020-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/85/2020-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202012-0005.txt Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:85-2020-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: editors Title: Index Authors AGRICECON volume 66 (2020) Journal: Agricultural Economics Pages: IV-VI Volume: 66 Issue: 12 Year: 2020 DOI: 10.17221/13200-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/13200-AGRICECON.html File-Format: text/html Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:13200-AGRICECON