This study investigates the logistics and economics of local food production for modeling active living. The data collected from selective groups of respondents in Khunyuam dale regarding Thailand's cost of living, demographics, food products, transport geography, and outbound logistics served as empirical evidence. A unique tiger bean was reviewed as a local asset in food products. The results showed that the capabilities of local economics and logistics were enhanced by establishing regional food production. The local living standard and household economy were logistically improved by the positive outcomes of active living. Finally, the findings suggested that each county should have its own food products to boost logistics and economics.
Citation: Thanapong Chaichana, Charles S. Brennan, Sukhuntha Osiriphun, Prem Thongchai, Sutee Wangtueai. Development of local food growth logistics and economics[J]. AIMS Agriculture and Food, 2021, 6(2): 588-602. doi: 10.3934/agrfood.2021035
This study investigates the logistics and economics of local food production for modeling active living. The data collected from selective groups of respondents in Khunyuam dale regarding Thailand's cost of living, demographics, food products, transport geography, and outbound logistics served as empirical evidence. A unique tiger bean was reviewed as a local asset in food products. The results showed that the capabilities of local economics and logistics were enhanced by establishing regional food production. The local living standard and household economy were logistically improved by the positive outcomes of active living. Finally, the findings suggested that each county should have its own food products to boost logistics and economics.
[1] | Hege A, Christiana RW, Battista R, et al. (2017) Active living in rural Appalachia: Using the rural active living assessment (RALA) tools to explore environmental barriers. Prev Med Rep 8: 261–266. doi: 10.1016/j.pmedr.2017.11.007 |
[2] | Peterson EL, Carlson SA, Schmid TL, et al. (2018) Prevalence of master plans supportive of active living in US municipalities. Prev Med 115: 39–46. doi: 10.1016/j.ypmed.2018.08.004 |
[3] | Giles-Corti B, Whitzman C (2012) Active living research: Partnerships that count. Health & Place 18: 118–120. |
[4] | Chaichana T (2019) Analysis of computing progress in maritime studies. ACM Int Conf Proc Ser 2019: 150–154. |
[5] | Strale M (2019) Sustainable urban logistics: What are we talking about? Transp Res Part A Policy Pract 130: 745–751. |
[6] | Belantová T, Gálová K, Taraba P (2019) Logistics projects in the Czech Republic. Transp Res Procedia 40: 949–954. doi: 10.1016/j.trpro.2019.07.133 |
[7] | Kiba-Janiak M, Cheba K (2019) Information system for city logistics. The case of Poland. Transp Res Procedia 39: 160–169. |
[8] | Long R, Ouyang H, Guo, H (2020) "Super-slack-based measuring data envelopment analysis on the spatial-temporal patterns of logistics ecological efficiency using global Malmquist Index model. Environ Technol Innov 18: 100770. doi: 10.1016/j.eti.2020.100770 |
[9] | Mousavi-Avval SH, Shah A (2020) Techno-economic analysis of pennycress production, harvest and post-harvest logistics for renewable jet fuel. Renewable Sustainable Energy Rev 123: 109764. doi: 10.1016/j.rser.2020.109764 |
[10] | Akhavan M, Ghiara H, Mariotti I, et al. (2020) Logistics global network connectivity and its determinants. A European City network analysis. J Transp Geogr 82: 102624. |
[11] | Liu C, Huang W, Yang C (2017) The evolutionary dynamics of China's electric vehicle industry–Taxes vs. subsidies. Comput Ind Eng 113: 103–122. |
[12] | Suharyanti Y, EdyTontowi A (2015) Market response as a function of design, competition, and socio-political condition: An empirical model. Procedia Manuf 4: 261–269. doi: 10.1016/j.promfg.2015.11.040 |
[13] | Starkie D (1986) Efficient and politic congestion tolls. Transp Res Part A General 20: 169–173. doi: 10.1016/0191-2607(86)90044-0 |
[14] | Crespo RF (2011) Two conceptions of economics. J Appl Econ 14: 181–197. doi: 10.1016/S1514-0326(11)60011-1 |
[15] | Daoust JF, Nadeau R (2020) Context matters: Economics, politics and satisfaction with democracy. Electoral Stud 2020: 102133. doi: 10.1016/j.electstud.2020.102133 |
[16] | Chen Y, He L, Li J, et al. (2018) Multi-criteria design of shale-gas-water supply chains and production systems towards optimal life cycle economics and greenhouse gas emissions under uncertainty. Comput Chem Eng 109: 216–235. doi: 10.1016/j.compchemeng.2017.11.014 |
[17] | Lee C, Wilhelm W (2010) On integrating theories of international economics in the strategic planning of global supply chains and facility location. Int J Prod Econ 124: 225–240. doi: 10.1016/j.ijpe.2009.11.021 |
[18] | Melkonyan A, Gruchmann T, Lohmar F, et al. (2020) Sustainability assessment of last-mile logistics and distribution strategies: The case of local food network. Int J Prod Econ 228: 107746. doi: 10.1016/j.ijpe.2020.107746 |
[19] | Tan J, Yan L, Chan KC (2019) The impact of the logistics service standardization on firm value: Evidence from China. North Am J Econ Finance 52: 101134. doi: 10.1016/j.najef.2019.101134 |
[20] | Galkin A, Dolia C, Davidich N (2017) The role of consumers in logistics systems. Transp Res Procedia 27: 1187–1194. doi: 10.1016/j.trpro.2017.12.010 |
[21] | Xu M, Tang W, Zhou C (2019) Procurement strategies of E-retailers under different logistics distributions with quality- and service-dependent demand. Electron Commer R A 35: 100853. doi: 10.1016/j.elerap.2019.100853 |
[22] | Krasteva Y, Kotzab H, Lienbacher E (2019) Analyzing logistical challenges to address food waste in the grocery retail sector. Glob Bus Rev 11: 77–103. |
[23] | Chaichana T, Sun Z, Jewkes J (2014) Impact of plaques in the left coronary artery on wall shear stress and pressure gradient in coronary side branches. Comput Methods Biomech Biomed Eng 17: 108–118. doi: 10.1080/10255842.2012.671308 |
[24] | Chaichana T, Sun Z, Jewkes J (2013) Haemodynamic analysis of the effect of different types of plaques in the left coronary artery. Comput Med Imaging Graph 37: 197–206. doi: 10.1016/j.compmedimag.2013.02.001 |
[25] | Chaichana T, Sun Z, Jewkes J (2011) Computation of hemodynamics in the left coronary artery with variable angulations. J Biomech 44: 1869–1878. doi: 10.1016/j.jbiomech.2011.04.033 |
[26] | McFarlane K, Chaichana T, Sun Z, et al. (2019) Femoral neck angle impacts hip disorder and surgical intervention: A patient-specific 3D printed analysis. ACM Int Conf Proc Ser 155–159. |
[27] | Paliwal Y, Gendron TL, Jones RM, et al. (2019) A qualitative study to understand over-the-counter medication use and decision-making among residents of senior-living communities. Res Social Adm Pharm 15: 730–737. doi: 10.1016/j.sapharm.2018.09.004 |
[28] | Vazifehdan MN, Darestani SA (2019) Green logistics outsourcing employing multi criteria decision making and quality function deployment in the petrochemical industry. Asian J Shipp Logist 35: 243–254. doi: 10.1016/j.ajsl.2019.12.011 |
[29] | Yazdani M, Chatterjee P, Pamucar D, et al. (2020) Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities. Expert Syst Appl 148: 113208. doi: 10.1016/j.eswa.2020.113208 |
[30] | Eastham JF (2003) Valorizing through tourism in rural areas: Moving towards regional partnerships, In: Hall CM, Sharples L, Mitchell R, et al., Food tourism around the world development, management and markets, 1st ed., Oxford UK: Butterworth and Heinemann. |
[31] | Hall JA (1993) Nationalisms; classified and explained. Daedalus 122: 1–28. |
[32] | Parrott N, Wilson N, Murdoch J (2002) Spatializing quality: Regional protection and the alternative geography of food. Eur Urban Reg Stud 9: 241–261. doi: 10.1177/096977640200900304 |
[33] | Lamppa JW, Horn G, Edwards D (2014) Toward the redesign of nutrition delivery. J Control Release 190: 201–209. doi: 10.1016/j.jconrel.2014.05.041 |
[34] | Robinson JB (1991) The proof of the pudding: Making energy efficiency work. Energy Policy 19: 631–645. doi: 10.1016/0301-4215(91)90095-6 |
[35] | Krishnan R, Agarwal R, Bajada C, et al. (2020) Redesigning a food supply chain for environmental sustainability–An analysis of resource use and recovery. J Clean Prod 242: 118374. doi: 10.1016/j.jclepro.2019.118374 |
[36] | Shahi DK, Rijal HB, Shukuya M (2020) A study on household energy-use patterns in rural, semi-urban and urban areas of Nepal based on field survey. Energy Build 223: 110095. doi: 10.1016/j.enbuild.2020.110095 |
[37] | Flatten T, Adams D, Brette M (2015) Fostering absorptive capacity through leadership: A cross-cultural analysis. J World Bus 50: 519–534. doi: 10.1016/j.jwb.2014.08.010 |
[38] | Yafi FA, Huynh L, Ahlering T, et al. (2020) What is a "Validated questionnaire"? A critical review of erectile function assessment. J Sex Med 17: 849–860. doi: 10.1016/j.jsxm.2020.02.005 |
[39] | Wen X, Gu L, Wen S (2019) Job satisfaction and job engagement: Empirical evidence from food safety regulators in Guangdong, China. J Clean Prod 208: 999–1008. doi: 10.1016/j.jclepro.2018.10.089 |
[40] | Wu B, Liu L (2020) Social capital for rural revitalization in China: A critical evaluation on the government's new countryside programme in Chengdu. Land Use Policy 91: 104268. doi: 10.1016/j.landusepol.2019.104268 |
[41] | Silva FG, Oliveira CB, Hisamatsu TM, et al. (2019) Critical evaluation of physical activity questionnaires translated to Brazilian-Portuguese: A systematic review on cross-cultural adaptation and measurements properties. Braz J Phys Ther 24: 187–218. doi: 10.1016/j.bjpt.2019.04.002 |
[42] | Digital Education (2019) Conservation and development of unique tiger bean supply chain in Maehongson province. Chiang Mai, Thailand: Chiang Mai Rajabhat University. |
[43] | US Department of Agriculture (2019) Food Data Central (FDC) ID: 365018. Available from: https://fdc.nal.usda.gov/. |
[44] | Google. (n.d.-a). Khun Yuam District, Mae Hong Son 58140, Thailand. Available from: https://goo.gl/maps/Sqdqp1wXADS8PDZc8. |
[45] | Google. (n.d.-b). Khun Yuam District, Mae Hong Son 58140, Thailand. Available from: https://goo.gl/maps/3TVJrjvxbh68twMQ8. |
[46] | Star M, Rolfe J, Brown J (2020) From farm to fork: Is food tourism a sustainable form of economic development? Econ Anal Policy 66: 325–334. |
[47] | Vos R, Cattaneo A (2021) Poverty reduction through the development of inclusive food value chains. J Integr Agric 20: 964–978. doi: 10.1016/S2095-3119(20)63398-6 |
[48] | Popkova EG, Sergi BS (2020) A digital economy to develop policy related to transport and logistics. Predictive lessons from Russia. Land Use Policy 99: 105083. |
[49] | Folinas D, Tsolakis N, Aidonis D (2018) Logistics services sector and economic recession in Greece: Challenges and opportunities. Logistics 2: 1–16. doi: 10.3390/logistics2030016 |
[50] | Charron LM, Joyner H, LaGro J, et al. (2019) Development of a comprehensive plan scorecard for healthy, active rural communities. Landsc Urban Plan 190: 103582. doi: 10.1016/j.landurbplan.2019.05.013 |
[51] | Haji K (2021) E-commerce development in rural and remote areas of BRICS countries. J Integr Agric 20: 979–997. doi: 10.1016/S2095-3119(20)63451-7 |
[52] | Keränen O, Komulainen H, Lehtimäki T, et al. (2021) Restructuring existing value networks to diffuse sustainable innovations in food packaging. Ind Mark Manag 93: 509–519. doi: 10.1016/j.indmarman.2020.10.011 |
[53] | de Souza Bispo M, Almeida L (2020) Food trucks and food parks as a social innovation of eating out practice: A study in João Pessoa–Brazil. Int J Gastron Food Sci 20: 100209. doi: 10.1016/j.ijgfs.2020.100209 |
[54] | Anang B, Asante B (2020) Farm household access to agricultural services in northern Ghana. Heliyon 6: e05517. |
[55] | Akimowicz M, Vyn RJ, Cummings H, et al. (2018) An introduction to mixed methods research in agricultural economics: The example of farm investment in Ontario's Greenbelt, Canada. J Rural Stud 61: 162–174. doi: 10.1016/j.jrurstud.2018.04.012 |
[56] | Chaichana T (2020) Renewable, sustainable and natural materials on food packaging: Primary data for robotically detect packaging shape in logistics. J Phys Conf Ser 1681: 012024. doi: 10.1088/1742-6596/1681/1/012024 |
[57] | Urquía-Grande E, Cano-Montero E, Pérez-Estébanez R, et al. (2018) Agriculture, nutrition and economics through training: A virtuous cycle in rural Ethiopia. Land Use Policy 79: 707–716. doi: 10.1016/j.landusepol.2018.09.005 |
[58] | Potts J, Kastelle T (2017) Economics of innovation in Australian agricultural economics and policy. Econ Anal Policy 54: 96–104. doi: 10.1016/j.eap.2017.03.003 |
[59] | Martindale L (2021) From land consolidation and food safety to Taobao villages and alternative food networks: Four components of China's dynamic agri-rural innovation system. J Rural Stud 82: 404–416. doi: 10.1016/j.jrurstud.2021.01.012 |
[60] | Guiné R, Florença S, Barroca M, et al. (2021) The duality of innovation and food development versus purely traditional foods. Trends Food Sci Technol 109: 16–24. doi: 10.1016/j.tifs.2021.01.010 |
[61] | Mensi A, Udenigwe CC (2021) Emerging and practical food innovations for achieving the Sustainable Development Goals (SDG) target 2.2. Trends Food Sci Technol 111: 783–789. |
[62] | de Brauw A, Hoffmann V (2020) The influence of the 2019 nobel prize winners on agricultural economics. World Dev 127: 104793. doi: 10.1016/j.worlddev.2019.104793 |
[63] | Mitchell ES, Yang Q, Behr H, et al. (2021) Adherence to healthy food choices during the COVID-19 pandemic in a U.S. population attempting to lose weight. Nutr Metab Cardiovasc Dis, in press. |
[64] | Kneipp JM, Gomes CM, Bichueti RS, et al. (2019) Sustainable innovation practices and their relationship with the performance of industrial companies. Revista de Gestão 26: 94–111. doi: 10.1108/REGE-01-2018-0005 |
[65] | Bentler PM, Yuan KH (1999) Structural equation modeling with small samples: Test statistics. Multivar Behav Res 34: 181–197. doi: 10.1207/S15327906Mb340203 |
[66] | Martínez-Mesa J, González-Chica DA, Bastos JL, et al. (2014) Sample size: How many participants do I need in my research? An Bras Dermatol 89: 609–615. |
[67] | Chaichana T, Sun Z, Jewkes J (2013) Hemodynamic impacts of various types of stenosis in the left coronary artery bifurcation: A patient-specific analysis. Physica Medica 29: 447–452. doi: 10.1016/j.ejmp.2013.02.001 |
[68] | Rouquette A, Falissard B (2011) Sample size requirements for the internal validation of psychiatric scales. Int J Methods Psychiatr Res 20: 235–249. doi: 10.1002/mpr.352 |
[69] | Anthoine E, Moret L, Regnault A, et al. (2014) Sample size used to validate a scale: A review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcomes 12: 176. doi: 10.1186/s12955-014-0176-2 |
[70] | Wolf EJ, Harrington KM, Clark SL, et al. (2013) Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educ Psychol Meas 76: 913–934. doi: 10.1177/0013164413495237 |