Local Chain Research Articles

Hospitality Strategic Management Planning Post COVID-19 Pandemic

Purpose of the study: This study aims to analyze management planning and strategies implemented by local chain hotels post-COVID-19 pandemic. Design/methodology: This study uses a descriptive qualitative case study method, with two research instruments in data collection: documentation and interviews. Data reduction, data presentation, and data verification, as well as SWOT analysis, were used to analyze data. Regarding testing validity data, the technique used by researchers is a triangulation technique source. Findings: The Local chain hotel has implemented a competitive strategy well, proven with properties that can last for more than 28 years in the hospitality industry, and is still relevant in the competition between hotels today. Management can also maintain hotel operations during the COVID-19 pandemic without closing all their properties. Research limitations/Implications: This study only focuses on using a SWOT analysis tool to analyze the Hotel's internal and external environment, where many tools could be used in data analysis to produce more reliable output. Novelty/Originality of the study: This study discussed formulation local chain hotels strategy formulation post-COVID-19 pandemic. The formulation covering four pillars of the hospitality industry, including operational, marketing, finance, and human resources. This research can be a reference for local hotels in implementing competitive strategies.

Industrial Development Strategy Until 2030

The research is a vision of the future of industry in Iraq, so it is may be outside the ceiling of the capabilities of the Iraqi economy, and therefore it is exaggerated. Therefore, future plans must be applicable through the availability of capabilities. Everyone knows that the financial and administrative corruption and mismanagement of resources are the main cause of the inefficiency of the industrial sector, and the failure to exercise its real role in achieving economic development.; as well as the political situation and the dominance of parties and their insistence on addressing positions that have a strong relationship in managing the economic sector that has a significant impact on drawing the economic map in its current form. That is why it has become necessary to reform the political system as an important pillar for the success of this strategy.
 It presents the vision of the industrial system until 2030, which is summarized in the development of the industrial system in Iraq to support a diversified and sustainable national economy in terms of economic and environmental aspects. It works within a stimulating business environment based on creativity and works in an institutional and organizational system that ensures implementation and achievement of goals and contributes to providing more job opportunities and improving the standard of living for individuals and society. To implement this vision, four basic elements were identified that represent the axes of the industrial strategy, namely: building the nucleus of competitive industrial clusters based on large industrial facilities integrated with local and global value chains, creating effective and stable working conditions that allow the existence and growth of private enterprises, improving the industrial and knowledge infrastructure, and adopting an appropriate governance system that supports the implementation of the previous three axes. A set of goals have been set for each of these axes to form the whole path the strategy to follow

Solar Energy in Argentina

There is a large gap between the vast solar resources and the magnitude of solar energy deployment in Argentina. In the case of photovoltaics, the country only reached the 1000 GWh electricity generated yearly landmark in 2020. Solar thermal technology is even less developed, in part due to the low natural gas prices resulting from political strategies that aim to soften the impact of an unstable economy on family budgets. This review describes this gap by summarizing the current state of Argentine solar energy. We summarize the fundamental legal and strategic tools which are available for solar energy deployment, survey the penetration of solar energy into the country’s energy landscape, identify national contributions to the local value chain, and review past and present research and development achievements. Both photovoltaic and solar thermal technologies show a historical fluctuation between local technology development and imported technology and know-how. Finally, a discussion on the main ingredients required to abridge Argentina’s solar gap indicates that stronger, consistent long-term strategies are required in Argentina in order to take advantage of the present window of opportunity, and to play a considerable role in the global energy transition.

Spatial Spillover Effect of East Java Economic Growth

The present study tries to examine the strategic role of East Java’s economic performance toward national level in spatial-based development. In spatial views, the economics of East Java statistically significant to improve economic growth in the neighboring area or provinces, and also support the East Java’s economic growth itself. The methodology uses for the present study consists of two methods, that are Inter-Regional Input-Output (IRIO) and Spatial Econometrics. First, the IRIO analysis shows the existing of Inter-Regional Spillover Effect in economics of East Java Province. Next, the authors examine if the economy of East Java Province experiences positive growth, it will encourage output growth in Java Island and improve the value added in eastern of Indonesia. Second, the result of SDM confirm that the existing of spatial spillover effect in Inter-Regional Economic of East Java Province. The result confirms the key role to boost economic growth of district/cities in East Java Province, is not only influenced by the region itself (local economy) but also support by spatial interactions with other regions (neighborhood or neighbors). The present study also finds that the neighboring GDRP per capita with other determinants i.e., capital, share of the agriculture sector, share of manufacturing industry and share of the service sector and local government spending have a significant effect on enhancing economic growth in East Java Province. The authors note that it is necessary to consider a spatial framework and approach. One of the policy recommendations in order to encourage economic growth in East Java is to strengthen the Local Value Chain (LVC) in strategic sectors, especially by encouraging inter-regional cooperation.

B-GOOD: Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making

A key to healthy beekeeping is the Health Status Index (HIS) inspired by EFSA’s Healthy-B toolbox which we will make fully operational, with the active collaboration of beekeepers, by facilitating the coordinated and harmonised flow of data from various sources and by testing and validating each component thoroughly. We envisage a stepby-step expansion of participating apiaries, and will eventually cover all EU biogeographic regions. The key to a sustainable beekeeping is a better understanding of its socio-economics, particularly within local value chains, its relationship with bee health and the human-ecosystem equilibrium of the beekeeping sector and to implement these insights into the data processing and decision making. We will fully integrate socio-economic analyses, identify viable business models tailored to different contexts for European beekeeping and determine the carrying capacity of the landscape. In close cooperation with the EU Bee Partnership, an EU-wide bee health and management data platform and affiliated project website will be created to enable sharing of knowledge and learning between scientists and stakeholders within and outside the consortium. We will utilise and further expand the classification of the open source IT-application for digital beekeeping, BEEP, to streamline the flow of data related to beekeeping management, the beehive and its environment (landscape, agricultural practices, weather and climate) from various sources. The dynamic bee health and management data platform will allow us to identify correlative relationships among factors impacting the HSI, assess the risk of emerging pests and predators, and enable beekeepers to develop adaptive management strategies that account for local and EU-wide issues. Reinforcing and establishing, where necessary, new multi-actor networks of collaboration will engender a lasting learning and innovation system to ensure socialecological resilient and sustainable beekeeping.

Self-Sufficiency Assessment: Defining the Foodshed Spatial Signature of Supply Chains for Beef in Avignon, France

Foodshed approaches allow for the assessment of the theoretical food self-sufficiency capacity of a specific region based on biophysical conditions. Recent analyses show that the focus needs to be shifted from foodshed size portrayed as an isotropic circle to a commodity–group-specific spatial configuration of the foodshed that takes into account the socio-economic and biophysical conditions essential to the development of local food supply chains. We focused on a specific animal product (beef) and used an innovative modeling approach based on spatial analysis to detect the areas of the foodshed dedicated to beef feeding (forage, pasture, and grassland), considering the foodshed as a complex of complementary areas called an archipelago. We used available statistical data including a census to address the city-region of Avignon, France covering a 100 km radius. Our results showed that the factors driving the use of short supply chains for beef feeding areas are the foodshed archipelago’s number of patches, the connectivity between them, and the rugosity of the boundaries. In addition, our beef self-sufficiency assessment results differ depending on geographical context. For instance, being located within the perimeters of a nature park seems to help orient beef production toward short supply chains. We discuss possible leverage for public action to reconnect beef production areas to consumption areas (the city) via short supply chains (e.g., green, home-grown school food programs) to increase local food security through increased local food self-sufficiency.

Activated relaxation in supercooled monodisperse atomic and polymeric WCA fluids: Simulation and ECNLE theory

We combine simulation and Elastically Collective Nonlinear Langevin Equation (ECNLE) theory to study the activated relaxation in monodisperse atomic and polymeric Weeks-Chandler-Andersen (WCA) liquids over a wide range of temperatures and densities in the supercooled regime under isochoric conditions. By employing novel crystal-avoiding simulations, metastable equilibrium dynamics is probed in the absence of complications associated with size polydispersity. Based on a highly accurate structural input from integral equation theory, ECNLE theory is found to describe well the simulated density and temperature dependences of the alpha relaxation time of atomic fluids using a single system-specific parameter, ac, that reflects the nonuniversal relative importance of local cage and collective elastic barriers. For polymer fluids, the explicit dynamical effect of local chain connectivity is modeled at the fundamental dynamic free energy trajectory level based on a different parameter, Nc, that quantifies the degree of intramolecular correlation of bonded segment activated barrier hopping. For the flexible chain model studied, a physically intuitive value of Nc ≈ 2 results in good agreement between simulation and theory. A direct comparison between atomic and polymeric systems reveals that chain connectivity can speed up activated segmental relaxation due to weakening of equilibrium packing correlations but can slow down relaxation due to local bonding constraints. The empirical thermodynamic scaling idea for the alpha time is found to work well at high densities or temperatures but fails when both density and temperature are low. The rich and subtle behaviors revealed from simulation for atomic and polymeric WCA fluids are all well captured by ECNLE theory.

China Transport Supply Chain Risk Management Challenges Face to Covid-19 Analysis

The international COVID-19 outbreak at the beginning of 2019 has had a huge influencing factor on lot of global and local manufacturing transportation chains, and triggered a continuous risks of logistics chains breakage by the way the COVID-18 pandemic has revealed the weakness of intercontinental supply chains arising from initial raw material scarcity, mass production and transportation disruption, and human being isolation. Among them, the short-term and medium-term and long-term impacts include encouraging companies to improve the flexibility of supply chains by constructing supply chains digital platforms, supply chains diversification systems and supply chains early warning system in the short, medium and long term, the global supply chains layout will change from internationalization to regionalization, and some high-end manufacturing industries will have a backflow trends. The risks associated with global supply chains management have created a discourse among practitioners and academics. Supply chains risk management is an integral function of the supply chains networks. Supply chains risks management have increasingly becoming a more popular research area recently, when COVID-18 appeared regionally, internationally and globally. In the article there are presented different calculation equations beginning from risk assessment during transportation and finishing by risk modeling, there are important factors influencing logistics and mainly supply chains when different types of risks appeared during COVID-22 transportation time.

Dataset of ultralow temperature refrigeration for COVID 19 vaccine distribution solution

Most COVID-19 vaccines require temperature control for transportation and storage. Two types of vaccine have been developed by manufacturers (Pfizer and Moderna). Both vaccines are based on mRNA and lipid nanoparticles requiring low temperature storage. The Pfizer vaccine requires ultra-low temperature storage (−80 °C to −60 °C), while the Moderna vaccine requires −30 °C storage. However, the last stage of distribution is quite challenging, especially for rural or suburban areas, where local towns, pharmacy chains and hospitals may not have the infrastructure required to store the vaccine at the required temperature. In addition, there is limited data available to address ancillary challenges of the distribution framework for both transportation and storage stages, including safety concerns due to human exposure to large amounts of CO2 from dry-ice sublimation, issues due to the pressure increase caused by dry-ice sublimation, and the potential issue caused by non-uniform cryogenic temperatures. As such, there is a need for test dataset to assist the development of a quick, effective, secure, and safe solution to mitigate the challenges faced by vaccine distribution logistics.

Olive oil supply chain design with organic and conventional market segments and consumers’ preference to local products

Recent market studies showed that the demand for organic and local agrifood products is increasing despite their higher prices. The agribusiness actors should therefore rethink the supply chain configuration to cope with new market trends characterized by the rise of the organic segment and the increase of consumers' preference to more local products. This study focuses on the olive oil sector and proposes a mixed-integer non-linear optimization model for the design of olive oil supply chains while incorporating organic and conventional market segments and considering, for each segment, a supply chain proximity- and price-sensitive demand. The model is developed with the collaboration of olive oil producers in the Mediterranean area. Thanks to this industrial collaboration, we account for real-world practices and constraints and apply the model to a realistic case study. We first linearize the model and show that it can be efficiently solved with commercial optimization softwares. Based on numerical experiments, we derive a series of managerial insights that are applicable to the considered case study, some of them are not intuitive. For instance, we show that an increase in consumers’ preference to more local products may lead the producer to offer products with a more global supply chain. The conventional product variety may be produced with a more local supply chain than the organic (premium) variety. Finally, offering a mix of organic and conventional varieties instead of only one variety would lead to implementing a more local supply chain.

Early evidence of leadership skills and strategies in managing the impact of COVID-19 pandemic in the hospitality industry

PurposeGiven the critical consequences of the current Coronavirus (COVID-19) crisis worldwide, displaying good leadership has been of utmost importance. Hospitality has been among the industries that have been hit the hardest by the pandemic, and it requires exceptional leadership skills unique to this crisis and sector. This multi-country study aims to contribute to the understanding of some of the most important skills and strategies that leaders in the hospitality industry may use to navigate the COVID-19 crisis effectively.Design/methodology/approachThis paper employs a qualitative study. Semi-structured interviews are conducted with managers of international hospitality groups or local hotel chains in seven different countries.FindingsThe results show that positive thinking, decision-making, flexibility, divergent thinking, trust-building and communication skills have a positive impact on leadership effectiveness in the hospitality sector during the pandemic. Besides, saving payroll costs, elaborating contingency plans and leveraging from partners' strengths are highlighted as crucial strategies.Practical implicationsThis paper provides hospitality professionals across borders preliminary insights and recommendations to manage the COVID-19 crisis.Originality/valueEspecially being one of the sectors that have been hit the hardest by the COVID-19 crisis worldwide, the dynamics and leadership requirements of the hospitality sector need further attention. The findings contribute to the literature by illustrating how managers have navigated the initial stages of the crisis in the under-researched hotel sector, and also by gathering evidence about the sector dynamics related to the early stages of this crisis.

Toward Swarm Manufacturing: Architecting a Cooperative 3D Printing System

AbstractSwarm manufacturing is a new paradigm for distributed manufacturing, where each factory uses an army of mobile manufacturing robots working together to manufacture desired products. It focuses on building factories within a local supply chain, where multiple products can be produced to meet changing customer demand from mass manufacturing to on-demand production of customized products. Cooperative 3D printing (C3DP) is a primitive form of swarm manufacturing, where multiple mobile 3D printing robots work together cooperatively to print the desired part, representing a major step toward enabling swarm manufacturing. At the core of C3DP lies the chunk-based printing strategy. This strategy splits the desired part into small chunks. The chunks are then assigned and scheduled to be printed by individual printing robots. In our previous work, we presented various hardware and software components of C3DP, such as mobile 3D printers, chunk-based slicing, scheduling, and simulation. This paper presents a fully integrated and functional C3DP platform with all necessary components and outlines how they work in unison from a system-level perspective. Specifically, the new architecture of hardware and software includes a set of new chunking strategies, a scalable scheduler for multi-robot printing, a SCARA-based printing robot, a mobile platform for robot transportation, a system of modular floor tiles, and a charging station for the mobile platform. Finally, we demonstrate the capability of the system using two case studies with successful large-scale prints.

Toward higher import substitution: does quality governance matter for uptake and pricing of improved local rice in Ghana?

PurposeProduct quality standardization is the solution to market collapses due to quality-insensitive pricing regimes prevalent in West African (WA) rice value chains. However, access to local rice that is differentiated by quality standards is limited. This paper explores feasibility of quality standardization of local rice and evaluates how its price–quality connecting effect depends on retailer characters/reactions.Design/methodology/approachThis study uses panel data from a wholesale randomized control trial (RCT) and three surveys of 135 rice retailers in Ghana.FindingsImproved local food value chains and access to quality differentiated products are impactful entry points for import substitution policies. The strength of interretailer competition, retail infrastructure and wholesaler activities matter for a stronger connection of prices and quality, given uptake of quality-standardized local rice.Research limitations/implicationsAccess to quality-differentiated local rice can be increased via private and third-party certification. This addresses the prevailing inefficient pricing and its related problems. The positive impacts of such access would be magnified by designing quality certification interventions to elicit regular-frequent purchases by retailers and target retailers with adequate retail infrastructure in high competition areas. However, this study only explored profitability and opportunities for strategic behavior as the behavioral basis for quality-sensitive pricing. Other impact mechanisms could be explored in further research that includes consumer data.Originality/valueDespite their difficulty and limited use in value chains studies, RCT and panel data methods are used. This study is the first to empirically analyze feasibility of introducing product standardization, a missing institution in the WA local rice markets.

Urban Farming Models, Ecosystems and Climate Change Adaptation in Urban Environments: The Case of SATURN Pan European Programme

The “System and sustainable Approach to virTuous interaction of Urban and Rural LaNdscapes” (SATURN) project is exploring how resilience at a city scale might be achieved and how the issues of landscape fragmentation, governance and land management can be addressed resulting in a sustainable future. The EIT Climate-KIC SATURN project is based on a collaboration between three cities of very different scales and contexts, those of Gothenburg in western Sweden, Trento in northern Italy, and Birmingham in the United Kingdom. This paper focuses on the ways in which urban farming can become an important tool to mitigate or adapt to climate change in urban environments by exploring how the three major cities of SATURN deal with these concepts. Using the experience gained throughout the SATURN project as well as the strong communication developed within the consortium, the paper introduces the reasons why urban farming is not just an agricultural activity, but it relates to climate awareness, health and an element of community. With the examples of different urban farming models, this research presents the fully entrepreneurial model of Gothenburg, where a business model fosters sustainable and successful small-scale farming through municipal management of small allotments with associated basic infrastructure leased out to entrepreneurs. Public underutilized land is matched with farmers in order for them to scale up their businesses and provide sustainable food, by limiting the shipping distance of the produce. In the Trento case, bottom-up and more institutional processes have been combined to foster short local supply chains through the Nutrire Trento networking process which could benefit from the introduction of a land lease scheme named “banca della terra” (to support agricultural land recovery). The case of Birmingham presents a different model where farming in an urban environment is mostly seen as a support to communities, mental health and awareness, rather than an entrepreneurial activity. The innovation in this paper comes in the form of different European models related to urban agriculture and best practices, demonstrating how abandoned and underutilised public and private land can be regenerated and become an active part of the urban realm. Insights on the ways in which the three different models operate, as well as results on how farming in an urban environment can enhance resilient cities are discussed in this paper. Keywords: urban farming, climate change, landscape ecosystems, entrepreneurial agriculture, community farming

Polymer Chains Fold Prior to Crystallization.

There are long-standing debates in crystallization mechanism of polymer chains at the molecular levels: Which comes first, chain folding or lamellae formation during crystallization? In this study, we report the local chain trajectory of 13C-labeled semicrystalline polymer in an extreme case of rapidly quenched glassy state as well as thermodynamically stable crystals formed via different pathways from glass and melt. Magnetically dipole interactions do not require a long-range order of molecular objects and thus enable us to trace the local chain trajectory of polymer chains even in a glassy state. To accurately characterize the local chain trajectory of polymer glass, the natural abundance effect on 13C-13C double-quantum (DQ) nuclear magnetic resonance (NMR) signal is re-examined using extended chain conformation. As results, it is found that glassy chains adopt the same adjacent re-entry structure (adjacent re-entry number, n = 1) with the melt- and cold-grown crystals. From these results, it is concluded that (i) folding occurs prior to crystallization and (ii) melt and cold crystallization do not induce additional folding but proceed with rearrangements of polymer chains in the existing templates.

Identifying correlation clusters in many-body localized systems

We introduce techniques for analysing the structure of quantum states of many-body localized (MBL) spin chains by identifying correlation clusters from pairwise correlations. These techniques proceed by interpreting pairwise correlations in the state as a weighted graph, which we analyse using an established graph theoretic clustering algorithm. We validate our approach by studying the eigenstates of a disordered XXZ spin chain across the MBL to ergodic transition, as well as the non-equilibrium dyanmics in the MBL phase following a global quantum quench. We successfully reproduce theoretical predictions about the MBL transition obtained from renormalization group schemes. Furthermore, we identify a clear signature of many-body dynamics analogous to the logarithmic growth of entanglement. The techniques that we introduce are computationally inexpensive and in combination with matrix product state methods allow for the study of large scale localized systems. Moreover, the correlation functions we use are directly accessible in a range of experimental settings including cold atoms.

Impact of COVID-19 on food insecurity using multiple waves of high frequency household surveys

In response to the rapid spread of COVID-19, governments across the globe have implemented local lockdowns that have led to increased unemployment and have disrupted local and international transport routes and supply chains. Whilst such efforts aim to slow or stop the spread of the SARS-CoV-2 virus, they have also resulted in increased food insecurity, whether due to reduced incomes or increased food prices. This is the first paper to track food insecurity and its determinants during the pandemic using multi-country and multi-wave evidence. Using data from 11 countries and up to 6 waves of High-Frequency Phone Survey data (household-level surveys) on COVID-19 and its impacts, we use a fixed-effects linear probability model to investigate the socioeconomic determinants of food insecurity during the pandemic for each country using household-level data over multiple waves. We control for socioeconomic characteristics including gender and education of the household head; income and poverty status of the households during the pandemic; safety nets in the form of cash and food assistance; coping strategies adopted by households; and price effects of major food items. Our findings suggest that cash safety nets appear to have been more effective than food in terms of reducing food insecurity during the pandemic; and that those particularly hard hit are female headed-households (highest in Malawi: 0.541, 95% CI 0.516, 0.569; lowest in Cambodia: 0.023, 95% CI 0.022, 0.024), the less educated (highest in Djibouti: − 0.232, 95% CI − 0.221, − 0.244; lowest in Nigeria: 0.006, 95% CI − 0.005, − 0.007), and poorer households (highest in Mali: 0.382, 95% CI 0.364, 0.402; lowest in Chad: 0.135, 95% CI 0.129, 0.142). In line with the existing literature, our results show that, even controlling for income loss and poverty status, those households who had to borrow rather than rely on savings had a higher probability of suffering from food insecurity. Distinct differences in the efficacy of safety nets across the 11 countries, and the differential impact of the pandemic on different groups within societies, suggest in-depth country-specific studies are needed to understand why some countries have coped better than others. Our paper highlights the importance of improving household resilience to future systemic crises, and using evidence-based best practice in the design of relevant policy instruments.

To What Extent Does the Food Tourism ‘Label’ Enhance Local Food Supply Chains? Experiences from Southeast Wales

Local food emphasises destination distinctiveness as food production is a locally embedded activity. Proponents of food tourism contend that it increases local food consumption as tourists and tourism and hospitality businesses are attracted to local food supply chains, where they can buy direct from the producer, thus reducing overheads, contributing to local economies and benefitting local communities. Yet the extent to which the food tourism rhetoric enhances the local food supply chain is questionable as evidence suggests that the food tourism ‘label’ creates a silo, which impairs connections with local food supply chains. Seven semi-structured interviews were undertaken in Southeast Wales to explore the food tourism rhetoric, particularly the connection with local food supply chains. Three themes emerged: demand versus supply; information provision; complexity and connectivity in food tourism and local food supply chains. Ultimately, this paper challenges traditional viewpoints around food tourism being a panacea for local food producers.

Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach)

The supplier selection problem (SSP) is a significant issue in renewable supply chain management (RSCM). Selecting a strategic green supplier can not only discover the sustainable development of supply chains but also optimize the consumption rate of resources and decrease the negative environmental effects, which adopts to the green development context. As a multiple criteria group decision-making (MCGDM) problem, choosing a strategic green supplier is important to renewable supply chains. However, how to choose a strategic green supplier for supply chains is a great effort. Hence, In the present work, evaluating a set of strategic suppliers is primarily based on green capabilities by using an integrated fuzzy Best Worst Method (FBWM) with the other two techniques, namely COPRAS (Complex Proportional Assessment of Alternatives) and WASPAS (Weighted Aggregated Sum-Product Assessment). Initially, nine strategic supplier selection criteria have been identified through literature review and a real-world case study of Iran's renewable energy supply chain is deliberated to exhibit the proposed framework's applicability. The applied methodology and its analysis will provide insight to decision-makers of strategic supplier selection. It may aid decision-makers and the procurement department in differentiating the significant strategic green supplier selection criteria and assess the strategic green supplier in the local and global market supply chain. Finally, the strengths and limitation of the framework are discussed by using comparative analysis with other methods.

Diverse adaptation strategies helped local food producers cope with initial challenges of the Covid-19 pandemic: Lessons from Québec, Canada

The Covid-19 pandemic has demonstrated the vulnerability of food systems to disturbances. Advocates have promoted short food supply chains as more resilient and adaptable thanks to their embeddedness in local economic and ecological networks. As part of a broader case study on challenges facing farmers in local food supply chains in Québec, Canada, we asked farmers about the pandemic's impacts on food production and marketing in the province, including how food producers coped with these challenges. We sent an online questionnaire to 1,046 farmers who distribute food through direct marketing in Québec, identified through consumer-facing online platforms. We conducted follow-up interviews with 15 of the 133 farmers that completed the questionnaire to gain a better understanding of their pandemic-related challenges and opportunities, as well as their adaptation needs and strategies. We identified four main types of challenges among farmers: workforce shortages, balancing food demand and supply, changes in sales outlets and marketing channels, and other operational and development issues. In turn, six key adaptation strategies helped farmers reorganize their marketing and sales, which we categorize as: redistribution, streamlining, replacement, collaboration, farm adjustment, and outlet adjustment. Most surveyed local farmers felt well-prepared to adapt to the four major challenges that the Covid-19 pandemic forged or escalated, and our findings suggest that they demonstrated remarkable resilience to additional challenges posed by the pandemic. Our study therefore contributes important insights about how flexibility and redundancy among local farmers stabilized the local food system during the onset of a global pandemic.