No 2/2023, June

Global Competitiveness of Trade in the West Coast of Sumatra from the Perspective of the Agglomeration of Economic Approach


The main aim of this study is to analysed the pattern of agglomeration of trade flows in the city of Padang and Teluk Bayur Port with the regencies and cities along the west coast of Sumatra, as well as the factors that influence them. How competitive is trade flow with the West coast region compared to the East coast of Sumatra. The analytical approach used is spatial econometrics, especially the spatial lag model and spatial error model. The data used is the volume of loading and unloading of inter-island and foreign ships at Teluk Bayur Port and other districts and cities in 133 areas on the West Coast and 155 districts and cities in the economic corridors of Sumatra. The results showed that the West Coast trade flow variable had no significant effect on the existence of Padang City as the centre of economic agglomeration in the economic corridor area of Sumatra. Our findings are that trade flows in the city of Padang have not been able to encourage economic agglomeration in regencies and cities on the West Coast of Sumatra, on the contrary there are connections with regencies and cities in the economic corridors of the East Coast of Sumatra. Therefore, to accelerate the process of economic agglomeration through trade flows, joint policies are needed with the agricultural sector in the Sumatran economic corridor in facing global market competition, as well as strengthening inter-regional internal markets in the Sumatra corridor, agricultural commodity transactions between regencies and cities in the Sumatran economic corridor which must be strengthened, so as to be able to compete in a competitive global market.

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An Analysis of the Gross Domestic Product of Municipalities: a Spatial Glance into the State of Paraná-Brazil


The vast relevance of applications of spatial regression models has recently captured the interest of Economics and Agriculture, in the sense of better understanding the spatial behavior of the region under study, in the different forms of approaches. It is interesting to understand why some regions show greater variability than others, and why some forms of regional development are better explained. It is up to the researcher to understand, explore, and organize a series of observations, so that it is possible to make predictions, diagnoses, and recommendations to public policy managers and regional development agents. The municipalities’ Gross Domestic Product (Gdp) has driven studies involving spatial information. The objective of this study was to analyze the Gdp of the municipalities in Paraná-Brazil, in 2018, regarding soybean yield, corn yield, pig production, and the tax on the circulation of goods, through different approaches of spatial regression models. SAR and CAR models are global models, while the GWR model is considered a local one. Three spatial analysis models were used to perform this study: Spatial Autoregressive (SAR), Conditional Autoregressive (CAR), and Geographically Weighted Regression (GWR). The results were compared using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Cross-Validation Criterion (CVC), and the descriptive graphic of residual diagnoses-Worm Plot. The best result obtained was for the GWR model, which best explained the GDP of the state of Paraná-Brazil in terms of its covariates.

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Digital Farming: A Survey on IoT-based Cattle Monitoring Systems and Dashboards


There is a steady increase in research on livestock monitoring systems that offer new ways to remotely track the health of the livestock, early predict the diseases that may affect them and intervene in the early stages to save the situation by monitoring the various vital biodata of the livestock, as well as monitoring their feeding and tracking their location to prevent any damage or rustling. In this context, this paper comes in order to highlight and discuss the most recently published articles that study the topic of cattle health monitoring and location tracking systems using advanced IoT sensors. In addition, the research provides a review of the most important software and dashboards available in the market that can be used for this purpose. The research constitutes a reference for researchers in this field and for those who wish to develop similar monitoring systems.

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Determining Factors of Retaining Young Farmers in Agriculture: A Case study in Turkey and Japan


Young farmers have an important role as the future of food security and sustainable agriculture depends on them. However, the young farmer problem is getting serious all over the world, whether the countries are developed or developing. The objective of this study is to determine the factors that affect the willingness of young farmers to continue agriculture in the future, especially based on social and cultural factors with economic factors. Data were collected from 200 young farmers' questionnaires in İzmir, Turkey, and Niigata, Japan. Using the logistic regression model, we found that social factors play an important role in retaining young farmers in agriculture such as the respectability and importance of farming, and the multifunctional role of farming, along with economic factors such as off-farm job, farmland size, and subsidies. If countries can clarify the importance of farming and food production to young generations, they will make essential contributions to the sustainability of food security and agricultural sustainability.

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Resource Use Efficiency and Cleaner Agricultural Production: An Application of Technical Inefficiency Effects Model for Paddy Producing Zones of West Bengal


It is possible to enhancement of agricultural productivity with environmental sustainability through efficient utilization of resources. This hypothesis is examined by the efficiency and the responsible factors for controlling inefficiency of the farms. The empirical analyses are conducted based on the secondary data of 14 960 farms scattered into five different paddy producing zones of West Bengal, India. The Efficiency estimates disclose that clayey soil texture zone is the most efficient and sandy and gravelly soil texture zone is the least efficient concerning paddy production. The study concludes with appropriate policy implications that the inefficiency on the part of the farms is caused by inefficient utilization of the chemical fertilizers, viz., nitrogen and potassium and insecticides and by the efficient utilization of this the farm can increase its productivity with environmental sustainability.

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Are Agricultural Households Resilient to Food Insecurity in Nigeria?


Food insecurity remains a threat to Nigerians especially agricultural households who are the most vulnerable. This study focuses on the structure of the resilience of agricultural households to food insecurity in Nigeria using the World Bank‘s Living Standard Measurement Studies Integrated Survey on Agriculture (LSMS-ISA), covering four rounds (2010/2011, 2012/2013, 2015/2016 and 2018/2019) using a total of 4975, 4394, 4226 and 4797 households respectively. Data were analysed using Descriptive Statistics, Multiple Indicators Multiple Causes Model and the Random Effects Probit model. The pillars of resilience to food insecurity among agricultural households include access to basic services, asset, agricultural practice and technology, social safety net, adaptive capacity and stability. Results showed that only about 34% of households were resilient to food insecurity during the periods under review. The most essential determinants affecting food insecurity resilience are access to basic services, assets, stability, adaptive capacity and social safety net. Age of household head, livelihood strategy employed, geo-political zones and location of residence significantly influence food insecurity resilience of households. Farmers’ income and food access must be improved as well as their adaptive capacity to food insecurity in order to help them become more resilient to food insecurity and inevitably help in achieving the Sustainable Development goal two of ending hunger in all its forms and improving food security which is one of the main policy thrust of the Nigeria’s economic and sustainability plan and the National Development Plan.

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An Assessment of M-Commerce Adoption Amongst Women Fish Vendors in Coastal India Using System Dynamics Approach


The digital revolution in India has played a significant role transforming traditional organizations through adoption of mobile commerce (m-commerce) and transforming the way they do business. For the successful implementation of m-commerce, a thorough understanding of the stakeholder perspectives is always important. Hence, to summarize the issues and perspectives of the women fish vendors (WFVs) and to study the effect of crucial parameters on the implementation success of m-commerce a system dynamics (SD) approach was used. SD methodology is used to develop a simulation model to understand the m-commerce adoption rate amongst WFVs considering multiple scenarios. The research findings reveal that, word of mouth (WOM) and user experience plays a major role towards the adoption of m-commerce. However, the WFVs were sceptical about the capabilities of m-commerce and weren’t well equipped with infrastructure. This approach will enable the academicians and social entrepreneurs to formulate strategies to empower WFVs by using technology. Also, it opens a new area of simulation-based policy modelling in the fisheries retail sector.

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A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0


The agriculture 4.0 revolution is an opportunity for farmers to meet the challenges in food production. It has become necessary to adopt a set of agricultural practices based on advanced technologies following the agriculture 4.0 revolution. This latter enables the creation of added value by combining innovative technologies: precision agriculture, information and communication technology, robotics, and Big Data. As an enterprise, a connected farm is also highly sensitive to strategic changes like organizational changes, changes in objectives, modified variety, new business objects, processes, etc. To strategically control its information system, we propose a metamodeling approach based on the ISO/IS 19440 enterprise meta-model, where we added some new constructs relating to new advanced digital technologies for Smart and Connected agriculture.

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Marketing Management of Electronic Commerce in the Process of Current Marketing Management


Electronic commerce is booming and has become a phenomenon of our time. While it only existed for a relatively short period of time, it left a significant mark on the current form of business, which can be referred to as the era of the information revolution. In the newly forming conditions, companies must adapt. Otherwise, they will disappear sooner or later. The article discusses the marketing management of electronic commerce with agricultural and food commodities. Its main purpose is to suggest a solution of possibility to strengthen the competitive position of companies with agricultural and food commodities trading mostly electronically by using a marketing management model n order to accomplish this. E-commerce provides opportunities for identifying the main weaknesses in marketing management of the company and recommending how they can be addressed. In addition, the best e-commerce marketing practices and tools are identified and recommended. The current ones are analysed and summarised as well as generalised knowledge of marketing management and electronic commerce and designated for solving problems in marketing management in e-commerce among selected companies that trade predominantly in research savings.

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Innovation to Improve the Village Economy Through the Development of Local Wisdom-Based Agro-Tourism, in North Kalimantan, Indonesia


Several villages in North Kalimantan Province have been potentially suitable to be developed through local wisdom-based agro-tourism. The development of agro-tourism is considered as research background because of the positive impact of agro-tourism on social, economic and environmental aspects of the villages. The objective of this research is to identify development potentials of villages in North Kalimantan Province and to select village to be developed through local wisdom-based agro-tourism. Research type is descriptive research using methods of scoring and Analytical Hierarchy Process. Data type is primary and secondary. Research sample is tourist villages in North Kalimantan Province. Several results of research were obtained. One result showed that three main criteria for developing villages through local wisdom-based agro-tourism are agricultural and plantation resources, facility and accessibility. Other result revealed that Panca Agung Village in Bulungan Regency of North Kalimantan Province is selected for the project of local wisdom-based agro-tourism. Agro-tourism development is expected to contribute the sustainable development at local, regional, national and international levels.

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