The reshoring decision under uncertainty in the post-COVID-19 era

Purpose Using insights from the supply chain resilience perspective and the international business literature, this study aims to investigate the determinants of firms’ decisions to reshore manufacturing under the high levels of uncertainty brought about by the ongoing US–China trade war and COVID-19 pandemic. Design/methodology/approach The proposed conceptual framework is tested using survey data collected from 702 Taiwanese firms with manufacturing in China. The firms were drawn from a database compiled by Taiwan’s Ministry of Economic Affairs. Findings The results show that two supply chain factors (tariffs and supply chain completeness) and two non-location-bound factors (labor cost and material cost) are critical determinants of the decision to reshore under uncertainty. Originality/value This research elucidates and empirically validates several factors that influence the reshoring decision in uncertain environments. The findings provide valuable theoretical, practical and strategic insights into how firms should manage their value chains in the post-COVID-19 era.

Contribution of Livelihoods to the Well-Being of Coffee-Growing Households in Southern Colombia: A Structural Equation Modeling Approach

Coffee cultivation is one of the main agricultural activities in Colombia, which increases the well-being of coffee-growing families. In order to determine the impact of coffee production, the capital endowment and well-being of coffee-growing families in the municipality of Pitalito, in the south of Colombia, were analyzed using the community capital index (CCI). Likewise, the relationships between the variables were identified through a Pearson correlation analysis, and the increase in well-being was identified and modeled by employing structural equations. The structural equation model showed a suitable fit to the data, indicated by the non-significant value of the χ2 statistic (p = 0.85), a high CFI (0.97), a low RMSEA (<0.001), a low stability index (0.23) and a low variance inflation factor (VIF = 1.42). At the capital level, political capital in synergy with social capital increased the well-being of coffee-growing families; meanwhile, capitals such as natural and physical-built capital did not have the greatest impact on well-being. Political capital variables such as the “possession of the coffee identification card” (CPI), as well as the variable “participates in the activities carried out by the community action board of the village” (PAC), increased by 9.9% and 8.66%, respectively, in the well-being of coffee-growing families measured by the CCI. The social capital variables that boosted the CCI were the benefits of the National Federation of Coffee Growers (FNC) (BFN, %V(variation): 8.32) and associativity (Aso, %V: 7.51). Other variables that make up human capital with high incidence in the CCI were family size (FSi) and the number of people who can read in the family (FLE) with a variation of 9.12% and 8.6%, respectively. However, other variables such as labor cost for disease management (CDM) and labor cost for harvesting (HCL) had no significant effect on the variation of the CCI. It was found that the level of well-being increases due to variables such as associativity and participation in grassroots organizations in the community, such as being a member of the National Federation of Coffee Growers, a quality represented by the possession of a coffee identification card that, in synergy with other variables, reduce inequality and poverty.

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

This paper aims to provide an overview of the capabilities of unmanned systems to monitor and manage aquaculture farms that support precision aquaculture using the Internet of Things. The locations of aquaculture farms are diverse, which is a big challenge on accessibility. For offshore fish cages, there is a difficulty and risk in the continuous monitoring considering the presence of waves, water currents, and other underwater environmental factors. Aquaculture farm management and surveillance operations require collecting data on water quality, water pollutants, water temperature, fish behavior, and current/wave velocity, which requires tremendous labor cost, and effort. Unmanned vehicle technologies provide greater efficiency and accuracy to execute these functions. They are even capable of cage detection and illegal fishing surveillance when equipped with sensors and other technologies. Additionally, to provide a more large-scale scope, this document explores the capacity of unmanned vehicles as a communication gateway to facilitate offshore cages equipped with robust, low-cost sensors capable of underwater and in-air wireless connectivity. The capabilities of existing commercial systems, the Internet of Things, and artificial intelligence combined with drones are also presented to provide a precise aquaculture framework.

Nanomaterials and nanotechnology for the delivery of agrochemicals: strategies towards sustainable agriculture

Nanomaterials (NMs) have received considerable attention in the field of agrochemicals due to their special properties, such as small particle size, surface structure, solubility and chemical composition. The application of NMs and nanotechnology in agrochemicals dramatically overcomes the defects of conventional agrochemicals, including low bioavailability, easy photolysis, and organic solvent pollution, etc. In this review, we describe advances in the application of NMs in chemical pesticides and fertilizers, which are the two earliest and most researched areas of NMs in agrochemicals. Besides, this article concerns with the new applications of NMs in other agrochemicals, such as bio-pesticides, nucleic acid pesticides, plant growth regulators (PGRs), and pheromone. We also discuss challenges and the industrialization trend of NMs in the field of agrochemicals. Constructing nano-agrochemical delivery system via NMs and nanotechnology facilitates the improvement of the stability and dispersion of active ingredients, promotes the precise delivery of agrochemicals, reduces residual pollution and decreases labor cost in different application scenarios, which is potential to maintain the sustainability of agricultural systems and improve food security by increasing the efficacy of agricultural inputs. Graphical Abstract

Increasing labor income and real unit labor costs in Brazilian agrobusiness

This study analyzes the interactions between per worker labor income (PWLI), labor productivity, real unit labor costs, and the relationship between relevant employee (IPCA) and employers (GDP deflators) prices, specifically focusing on Brazilian agrobusiness. For that purpose, labor productivities of the entire agrobusiness sector and its segments were calculated from 2004 through 2015. We found that the gap between agrobusiness sector deflators and the IPCA did not play a preponderant role to mitigate the effect of PWLI growth of 3.81% annually on real unit labor cost (CURT), which only increased 0.21% annually. In turn, CURT was contained by productivity gains, boosted mainly by agriculture. Without this productivity growth, CURT would have increased at 3.7% annually, thus making unviable the observed simultaneous gains for employers and employees in the Brazilian agrobusiness sector. The result for the primary agrobusiness segment should be highlighted. Even with an annual increase of 4.07% in PWLI, the 7.24% annual growth in productivity implied on an average annual reduction in CURT (-2.56%); without this significant productivity growth, the same increase in PWLI would have boosted CURT by 4.7% annually.

MECHANIZATION DEVICES FOR HANDLING BRANCHES IN MODERN ORCHARDS

In most parts of China, pruned branches in orchards are still treated manually. In order to reduce the intensity and labor cost, this paper provides a mechanical solution for branches collection, which mainly includes the gathering device, picking device, and smashing device. A simulation platform with a human-computer interaction was developed in Matlab. It can set optimization goals based on human practical experience and optimize the main influencing parameters, and both the gathering device and the picking device achieve the design simulation on this platform. Furthermore, this method helps to quickly obtain the data of key components in the core device. Firstly, the shape of the Slide-way shell of the gathering device can be obtained quickly through different gathering ranges. Secondly, a group of angle and motion trajectory of the picking device with lower height was obtained from the simulation design. Furthermore, the performance of the improved picking device under four different laying conditions was tested. The results showed that, under R=38-42 r/min and V=0.80-0.95 m/s, the success rate of the picking device was 94.2%, 92.5%, 61.0% and 30.8%, respectively. The field test demonstrated that there are no significant differences between the simulated test results and practice test results.

Binders Used for the Manufacturing of Composite Materials by Liquid Composite Molding

Binders, or tackifiers, have become widespread in the production of new composites materials by liquid composite molding (LCM) techniques due to their ability to stabilize preforms during laying-up and impregnation, as well as to improve fracture toughness of the obtained composites, which is very important in aviation, automotive, ship manufacturing, etc. Furthermore, they can be used in modern methods of automatic laying of dry fibers into preforms, which significantly reduces the labor cost of the manufacturing process. In this article, we review the existing research from the 1960s of the 20th century to the present days in the field of creation and properties of binders used to bond various layers of preforms in the manufacturing of composite materials by LCM methods to summarize and synthesize knowledge on these issues. Different binders based on epoxy, polyester, and a number of other resins compatible with the corresponding polymer matrices are considered in the article. The influence of binders on the preforming process, various properties of obtained preforms, including compaction, stability, and permeability, as well as the main characteristics of composite materials obtained by various LCM methods and the advantages and disadvantages of this technology have been also highlighted.

Production and marketing of turmeric (Curcuma longa) in Sunsari District, Nepal

Turmeric is a popular spice in Nepalese households and a potential cash crop in the country's tropical areas; yet, due to limited study on production technologies and marketing channels, Nepalese farmers have struggled to earn a reasonable return from its production. For this study, 100 turmeric producers were selected by using simple random sampling technique from total turmeric growing population registered in PMAMP at Barahakshetra Municipality of the district. The research was carried out during January to May. Primary data were collected through field, survey, FGD, and KII while a literature review was carried out as the source of secondary data. Information collected from the field survey were coded, tabulated, and analyzed by using the statistical software of MS Excel 2010 and SPSS V26.0. It was found that majority of the respondent farmers had agriculture as their primary occupation. The average household turmeric area was 0.43 ha. The labor cost contributed 45.46% for the of cultivation with an average cost of cultivation pf NRs.110.63 per kg for dried turmeric. Moreover, the gross return of Rs.270057 per hectare and the BCR 1.35, indicate that turmeric farming is profitable. The average productivity of dry turmeric in the study area was 1800 kg per hectare. Insufficient technical services and low market price of the turmeric were main production and marketing problem faced by turmeric producing community This study suggests the adoption of innovative technology for farming, government intervention in price fixing and replacement of local seed by improved seed.

Economic Analysis of an Image-Based Beef Carcass Yield Estimation System in Korea

To minimize production costs, reduce mistakes, and improve consistency, modern-day slaughterhouses have turned to automated technologies for operations such as cutting, deboning, etc. One of the most vital operations in the slaughterhouse is carcass grading, usually performed manually by grading staff, which creates a bottleneck in terms of production speed and consistency. To speed up the carcass grading process, we developed an online system that uses image analysis and statistical tools to estimate up to 23 key yield parameters. A thorough economic analysis is required to aid slaughterhouses in making informed decisions about the risks and benefits of investing in the system. We therefore conducted an economic analysis of the system using a cost-benefit analysis (the methods considered were net present value (NPV), internal rate of return (IRR), and benefit/cost ratio (BCR)) and sensitivity analysis. The benefits considered for analysis include labor cost reduction and gross margin improvement arising from optimizing breeding practices with the use of the data obtained from the system. The cost-benefit analysis of the system resulted in an NPV of approximately 310.9 million Korean Won (KRW), a BCR of 1.72, and an IRR of 22.28%, which means the benefits outweigh the costs in the long term.

Smart Cart With Multi-shopping Solutions

Consumerism has constantly been growing, and visiting marketplaces and purchasing is a key development factor for the economic development of a city. The spending habits of people are a reflector of many development indices. As people go out for purchasing in malls for shopping essential items, they often tend to find long queues at the billing counter, and the queues are more longer during weekends and during sale seasons. This has been deterring people from going out shopping and instead resort to online shopping. This has affected the sales and revenue of departmental chains. Also, people spend quite a considerable amount of time searching through rows in order to find the items of their choice. Proposing a solution to these above-mentioned problems using technology is a real boon. Installing a payment option on the cart itself would result in cutting down the waiting times in queues. Moreover, the customers can also benefit from navigation through the virtual maps that would be displayed on the screens of the carts. This reduces the time wasted by customers in searching for products. Hence the customers are self-dependent during their shopping. For the retail group, their transactions and management are truly simplified with these developments. Additionally, the counter labor will decrease if not cease to zero, which in turn reduces the labor cost drastically. In times of pandemic like now, people have been sticking with online shopping due to various reasons, but they long to go out and spend time in the malls as they would in normal times. The proposed solution would definitely assist in the normalization of lives and bring back on-ground retail back to life.