Template-Type: ReDIF-Article 1.0 Author-Name: Sanjay Chaudhary Author-Name: Pradeep Kumar Suri Author-Workplace-Name: Delhi School of Management, Delhi Technological University, Delhi, India Title: The impact of digitalisation on the agricultural wholesale prices to aid agrarian income Abstract: The paper analyses the effect of electronic-trading (e-trading) on the wholesale prices of select commodities in agricultural marketplaces to aid agrarian income levels. Post a literature review, the researcher performed a field survey to get the opinions of 371 farmers and traders. The researcher also conducted the descriptive statistical analysis, the difference in differences analysis, and the t-test analysis to show the wholesale price improvement after the e-trading platform implementation. The field survey findings and the statistical analysis suggest an increase in average wholesale prices of select agri-commodities in select markets of India due to the National Agriculture Market (eNAM) e-trading platform effect. The suggestions to practitioners and social policymakers highlight an improvement in the functioning of e-trading in terms of better prices for farmers, lowering transaction costs, increased transaction speed, reduced administrative hurdles, improved infrastructure and eventually higher income for a farmer. The knowledge base developed in this paper will help researchers reduce the knowledge gap in agricultural pricing. Keywords: e-marketplace, electronic trading, income improvement, national agriculture market, wholesale pricing Journal: Agricultural Economics Pages: 361-370 Volume: 68 Issue: 10 Year: 2022 DOI: 10.17221/113/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/113/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202210-0001.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:10:id:113-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: András Bence Szerb Author-Workplace-Name: Doctoral School for Management and Organizational Science, Hungarian University of Agriculture and Life Sciences, Kaposvár, Hungary Author-Name: Arnold Csonka Author-Workplace-Name: Department of Agricultural Data Processing and Data Analysis, Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Kaposvár, Hungary Author-Name: Imre Fertő Author-Workplace-Name: Department of Agricultural Data Processing and Data Analysis, Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Kaposvár, Hungary Author-Workplace-Name: Centre for Economic and Regional Studies, Budapest, Hungary Title: Regional trade agreements, globalization, and global maize exports Abstract: Globalisation is also having a profound impact on international agricultural trade. This study examines the impact of regional trade agreements (RTAs) and globalization on international maize trade using a gravity model for the period 1996-2020. The results show that, despite globalization, distance has a larger negative impact on bilateral maize trade than on the manufacturing sector. It appears that distance remains an important factor in explaining trade flows in commodity markets, including maize. Our findings on the role of RTAs are in line with the results of previous studies: RTAs are generally preceded by a strengthening of bilateral trade relations. There is mutually positive feedback between the level of bilateral trade and RTA membership. However, the establishment of a common RTA membership and its trade-stimulating effects are not immediately visible. Keywords: bilateral relationships, distance puzzle, econometrics, gravity model, international trade Journal: Agricultural Economics Pages: 371-379 Volume: 68 Issue: 10 Year: 2022 DOI: 10.17221/202/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/202/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202210-0002.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:10:id:202-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Abda Emam Author-Workplace-Name: Department of Agribusiness and Consumer Sciences, College of Agricultural Sciences and Food, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia Author-Workplace-Name: Department of Agricultural Economics, Faculty of Agricultural Studies, Sudan University of Science and Technology, Khartoum, Sudan Title: Present and future: Does agriculture affect economic growth and the environment in the Kingdom of Saudi Arabia? Abstract: Global climate change is a crucial environmental issue. Worldwide warming is primarily caused by carbon dioxide (CO2) emission levels. Agricultural production is among many economic activities driving CO2 creation and environmental degradation. In this study, we aim to disclose the effect of agricultural production (date production) on the agricultural gross domestic product (AGDP) and the environment (CO2 emissions). We collected data on date production, AGDP and CO2 emissions from different resources covering the period from 1990 to 2019. To analyse the data, we used the Engle-Granger two-step procedure, autoregressive distributed lag (ARDL) bounds methods of analysis, regression analysis and forecasting tests. Results from fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) analyses helped confirm the results of the ARDL model. The results revealed that there are long-run relationships between AGDP and date production and between CO2 emissions and date production. The first result is consequent with theory and leads to economic growth, whereas the second result indicates a negative effect on the environment. To ascertain which production factors were responsible for this negative result, we ran a regression analysis, and the results indicated that the coefficient of electricity consumption (independent variable) was positive and highly significant in explaining the variability of CO2 emissions. The results of the regression analysis also showed that agriculture affected the environment negatively through increasing CO2 emissions during the study period. Forecasting analysis results showed a decrease in CO2 emissions for the period from 2020 to 2026. The study results lead us to recommend that, to increase economic growth, date production should be increased along with the synchronised use of renewable sources of electricity. The governmental effort to sustain the environment also should be increased and continued through increasing the share of renewable electricity in total electricity consumption. Keywords: CO2 emission, date production, econometric analysis, electricity consumption, forecasting analysis, impulse test Journal: Agricultural Economics Pages: 380-392 Volume: 68 Issue: 10 Year: 2022 DOI: 10.17221/58/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/58/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202210-0003.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:10:id:58-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Francisco Martínez Arroyo Author-Workplace-Name: Council for Agriculture, Water and Rural Development of the Government of Castilla-La Mancha, Toledo, Spain Author-Name: Hugo Sacristán López Author-Workplace-Name: Council for Agriculture, Water and Rural Development of the Government of Castilla-La Mancha, Toledo, Spain Author-Name: Juan Sebastián Castillo-Valero Author-Workplace-Name: Regional Development Institute, University of Castilla-La Mancha, Albacete, Spain Author-Name: María Carmen García-Cortijo Author-Workplace-Name: Regional Development Institute, University of Castilla-La Mancha, Albacete, Spain Title: Rural development programmes: Lessons learnt, and knowledge advancement. A case study in Castilla-La Mancha (Spain) Abstract: Since the LEADER (Liaisons Entre Activités de Developpement de l'Economie Rural) method was launched in 1991, through its Rural Development Programmes, it has tried to support rural areas by promoting the creation of opportunities, strengthening rural territorial resilience and holding back depopulation processes. It has also introduced social considerations such as gender and age and has fostered the knowledge economy. One aspect of particular interest is employment: rural areas that offer employment opportunities can trigger a set of processes and dynamics that are positive for rural resilience in that they strengthen competitive, socially dynamic and economically viable spaces. The purpose of this article is to define the profile of a LEADER project that can generate and/or consolidate employment in the Spanish region of Castilla-La Mancha during the current 2014-2022 programming period. This is done by means of a study using ordered probit of the 4 465 projects by the Local Action Groups (LAGs). The study points to the preponderance of agro-industrial activity and the large size of the municipalities where employment is generated. It also finds that a very large proportion of the jobs created are for young people and that many women have found jobs in projects funded by the LAGs. Keywords: job creation, LEADER programme 2014-2022, Local Action Groups, ordered probit model, rural areas Journal: Agricultural Economics Pages: 393-402 Volume: 68 Issue: 10 Year: 2022 DOI: 10.17221/207/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/207/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202210-0004.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:10:id:207-2022-AGRICECON