Accessibility Impact to Government Programs on the Household Income Contribution at the Various Livelihood Sources of Farmers

M. Edi Armanto, Elisa Wildayana

Abstract


This paper aimed (1) to describe the accessibility of farmers to programs made by the government for rural development, and (2) to analyze the impact of this accessibility on the contribution generating household income of farmers in South Sumatra wetlands. This research was an experimental research using Split Plot Design. The study resulted that accessibility had a significant effect on the income structure of farmers' households. If accessibility was high to very high, the sector and types of off-farm activities were more developed and diverse. Household income in low accessibility was dominated by subsistence agriculture, although the types of off-farm activities varied, but their contribution to total household income was very small. In high accessibility areas, the income contribution from subsistence farming was relatively small, but the diversity of activities was large, which could increase the total household income, i.e. trade, non-agricultural labor, forest income, government projects, beca, drivers, carpenters, welding, shipping, etc. The total income of households in high accessibility was higher than in low accessibility areas. The better the accessibility, the better the total household income will be as long as the government manages farmers in off-farm activities.


Keywords


Alternatives, Livelihood, Accessibility, Wetlands

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References


Abijith, D., & Saravanan, S. (2021). Assessment of Land Use and Land Cover Change Detection and Prediction Using Remote Sensing and CA Markov in the Northern Coastal Districts of Tamil Nadu, India. Environmental Science and Pollution Research 57. https://doi.org/10.1007/s11356-021-15782-6

Alikhani, S., Nummi, P., & Ojala, A. (2021). Urban Wetlands: A Review on Ecological and Cultural Values. Water, Vol 13(22), 1-47. MDPI AG. http://dx.doi.org/10.3390/w13223301

Armanto, M.E. (2019a). Improving Rice Yield and Income of Farmers by Managing the Soil Organic Carbon in South Sumatra Landscape, Indonesia. Iraqi Journal of Agricultural Sciences Vol 50(2): 653-661. http://Jcoagri.Uobaghdad.Edu.Iq/Index.Php/Intro

Armanto, M.E. (2019b). Comparison of Chemical Properties of Peats under Different Land Uses in South Sumatra, Indonesia. Journal of Ecological Engineering, Vol 20(5); 184-192, https://Doi.Org/1 0.12911/22998993/105440

Bergstrom, R.D. (2018). Defining Sustainability in the Greater Yellowstone Ecosystem. Sustainable Development, Vol 11(1), 32-43. https://doi.org/10.5539/jsd.v11n1p32

Farooq, A., Stoilova, S., Ahmad, F., Alam, M., Nassar, H.,Qaiser, T., Iqbal, K., Qadir, A., Ahmad, M., & Granà, A. (2021). An Integrated Multicriteria Decision-Making Approach to Evaluate Traveler Modes’ Priority: An Application to Peshawar, Pakistan. Journal of Advanced Transportation Vol 2021, 1-17. Article ID 5564286 https://doi.org/10.1155/2021/5564286

Fedele, G., Donatti, C.I., Harvey, C.A., Hannah, L., & Hole, D.G. (2019). Transformative Adaptation to Climate Change for Sustainable Social-Ecological Systems. Environmental Science & Policy, Vol 101, 116-125. https://doi.org/10.1016/j.envsci.2019.07.001

Fusco, G., Miglietta, P.P., & Porrini, D. (2018). How Drought Affects Agricultural Insurance Policies: The Case of Italy. Journal of Sustainable Development, Vol 11(2), 1-13. https://doi.org/10.5539/jsd.v11n2p1

Gao, J., Cai, Y., Liu, Y., Wen, Q., Marcouiller, D.W., &. Chen, J. (2022). Understanding the Underutilization of Rural Housing Land in China: A Multi-Level Modeling Approach. Journal of Rural Studies. Vol 89, 73-81. https://Doi.Org/10.1016/J.Jrurstud.2021.11.020

Groenewegen, P.P., Kroneman, M. & Spreeuwenberg, P. (2021). Physical Accessibility of Primary Care Facilities for People with Disabilities: A Cross-Sectional Survey In 31 Countries. BMC Health Serv Res, Vol 21(107); 1-10. https://Doi.Org/10.1186/S12913-021-06120-0

Guth, M., Stępień, S., Smędzik-Ambroży, K., & Matuszczak, A. (2022). Is Small Beautiful? Techinical Efficiency and Environmental Sustainability of Small-Scale Family Farms under the Conditions of Agricultural Policy Support. Journal of Rural Studies, Vol 89, 235-247. https://doi.org/10.1016/j.jrurstud.2021.11.026

Hao, P., & He, S. (2022). What Is Holding Farmers Back? Endowments and Mobility Choice of Rural Citizens in China. Journal of Rural Studies. Vol 89, 66-72. https://Doi.Org/10.1016/J.Jrurstud.2021.11.014

Hölscher, K., Wittmayer, J.M., & Loorbach, D. (2018). Transition Versus Transformation: What’s the Difference?, Environmental Innovation and Societal Transitions, Vol 27, 1-3. https://doi.org/10.1016/j.eist.2017.10.007

Hu, X., Zhang, P., Zhang, Q., & Wang, J. (2021). Improving Wetland Cover Classification Using Artificial Neural Networks with Ensemble Techniques. GIScience & Remote Sensing, Vol 58(4), 603-623. https://doi.org/10.1080/15481603.2021.1932126

Imanudin, M.S., Armanto, M.E., & Bakri. (2019). Determination of Planting Time of Watermelon under a Shallow Groundwater Table in Tidal Lowland Agriculture Areas of South Sumatra, Indonesia. Irrigation and Drainage, Vol 68(3); 488-495. https://doi.org/10.1002/ird.2338

Jamali, A., Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., & Salehi, B. (2021). Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada. Canadian Journal of Remote Sensing, Vol 47(2); 243-260. https://doi.org/10.3390/rs12132095

Kumar, D.N., & Madhu, T. (2020). Subcategories Multiple Uses of Land Recognized by Land Use and Land Cover Classification System Using LISS-III and NRSC Enumerate Data: Case Study at Medchal Mandal, Hyderabad, India. Asian Journal of Atmospheric Environment, Vol 14(4); 394-412. http://dx.doi.org/10.5572/ajae.2020.14.4.394

Lavieri, P.S., Dai, Q., & Bhat, C.R. (2018). Using Virtual Accessibility and Physical Accessibility as Joint Predictors of Activity-Travel Behavior. Transportation Research Part A: Policy and Practice, Vol 118, 527-544. https://doi.org/10.1016/j.tra.2018.08.042.

Lázaro-Lobo, A., & Ervin, G.N. (2021). Wetland Invasion: a Multi-Faceted Challenge during a Time of Rapid Global Change. Wetlands, Vol 41(5), pp 64. https://doi.org/10.1007/s13157-021-01462-1

Le Goff, U., Sander, A., Lagana, M.H., Barjolle, D., Phillips, S., & Six, J. (2022). Raising up to the Climate Challenge - Understanding and Assessing Farmers’ Strategies to Build their Resilience. A Comparative Analysis Between Ugandan and Swiss Farmers. Journal of Rural Studies. Vol 89, 1-12. https://doi.org/10.1016/j.jrurstud.2021.10.020

Li, N., Lu, D., Wu, M., Zhang, Y., & Lu, L. (2018). Coastal Wetland Classification With Multiseasonal High-Spatial Resolution Satellite Imagery. International Journal of Remote Sensing, Vol 39(23), 8963-8983. https://doi.org/10.1080/01431161.2018.1500731

Li, Y., & Zhang, L. (2021). Do Online Reviews Truly Matter? A Study of the Characteristics of Consumers Involved in Different Online Review Scenarios. Behaviour & Information Technology, Vol 40(13), 1448-1466. https://doi.org/10.1080/0144929X.2020.1759691

Loorbach, D., Frantzeskaki, N., & Avelino, F. (2017). Sustainability Transitions Research: Transforming Science and Practice for Societal Change. Annual Review of Environment and Resources, Vol 42(1), 599-626. https://doi.org/10.1146/annurev-environ-102014-021340

Loorbach, D., Wittmayer, J., Avelino, F., von Wirth, T., & Frantzeskaki, N. (2020). Transformative Innovation and Translocal Diffusion. Environmental Innovation and Societal Transitions, Vol 35, 251-260. https://doi.org/10.1016/j.eist.2020.01.009

Marques, J.F., Áfio, A.C.E., Carvalho, L.V., Leite, S.S., Almeida, P.C., & Pagliuca, L.M.F. (2018). Physical Accessibility in Primary Health Care: A Step Towards the Embracement. Rev Gaúcha Enferm. Vol 39:e2017-0009. doi: https://doi.org/10.1590/1983- 1447.2018.2017-0009

Mcguire, R., Longo, A., & Sherry, E. (2022). Tackling Poverty and Social Isolation Using A Smart Rural Development Initiative. Journal of Rural Studies. Vol 89: 161-170. https://Doi.Org/10.1016/J.Jrurstud.2021.11.010

Moritz, J., Tuomisto, H.L., & Ryynänen, T. (2022). The Transformative Innovation Potential of Cellular Agriculture: Political and Policy Stakeholders’ Perceptions of Cultured Meat in Germany. Journal of Rural Studies. Vol 89: 54-65. https://Doi.Org/10.1016/J.Jrurstud.2021.11.018

Munir, B.A., Hafeez, S., Rashid, S., Rabia, I., & Javed, M.A. (2020). Geospatial assessment of physical accessibility of healthcare and agent-based modeling for system efficacy. GeoJournal, Vol 85, 665-680. https://doi.org/10.1007/s10708-019-09987-z

Proka, A., Hisschemöller, M., & Loorbach, D. (2020). When Top-Down Meets Bottom-Up: Is There A Collaborative Business Model for Local Energy Storage?, Energy Research & Social Science, Vol 69, 101606, https://doi.org/10.1016/j.erss.2020.101606

Qadeer, M.U., Saeed, S., Taj, M., & Muhammad, A. (2021). Spatio-Temporal Crop Classification On Volumetric Data. 2021 IEEE International Conference on Image Processing (ICIP)., pages 3812-3816. https://doi.org/10.1109/ICIP42928.2021.9506046

Räisänen, J., & Tuovinen, T. (2020). Digital Innovations in Rural Micro-Enterprises. Journal of Rural Studies. Vol 73, 56-67. https://Doi.Org/10.1016/J.Jrurstud.2019.09.010

Santana, S.B.S., Alonso, C.P., & Espino, E.P.C. (2020). Assessing Physical Accessibility Conditions to Tourist Attractions. The case of Maspalomas Costa Canaria urban area (Gran Canaria, Spain). Applied Geography, Vol 125, 102327. https://doi.org/10.1016/j.apgeog.2020.102327

Scoones, I., Stirling, A., Abrol, D., Atela, J., Charli-Joseph, L., Eakin, H., Ely, A., Olsson, P., Pereira, L., Priya, R., van Zwanenberg, P., & Yang, L. (2020). Transformations to Sustainability: Combining Structural, Systemic and Enabling Approaches. Current Opinion in Environmental Sustainability, Vol 42, 65-75. https://doi.org/10.1016/j.cosust.2019.12.004

Shao, R., Derudder, B., & Witlox, F. (2022). The Geography of e-Shopping in China: On the Role of Physical and Virtual Accessibility. Journal of Retailing and Consumer Services, Vol 64, 102753, https://doi.org/10.1016/j.jretconser.2021.102753

Sulak, B., & Türk, E. (2022). Rural Dynamics of Second Home Trends in the Eastern Black Sea Region. Journal of Rural Studies. Vol 89: 35-44. https://Doi.Org/10.1016/J.Jrurstud.2021.11.011

Tavakoli, D.B., Tafrishi, M., & Abbaspour, E. (2017). Criteria and Factors Affecting Sustainable Housing Design in Iran. Journal of Sustainable Development, Vol 10(3), 194-203. https://doi.org/10.5539/jsd.v10n3p194

Thiam, S., Villamor, G.B., Faye, L.C., Sène, J.H.B., Diwediga, B., & Kyei-Baffour, N. (2021). Monitoring Land Use And Soil Salinity Changes In Coastal Landscape: A Case Study from Senegal. Environ Monit Assess, Vol 193, 259 (2021). https://doi.org/10.1007/s10661-021-08958-7

Twisa, S., & Buchroithner, M.F. (2019). Land-Use and Land-Cover (LULC) Change Detection in Wami River Basin, Tanzania. Land, Vol 8(9), 136. MDPI AG. Retrieved from http://dx.doi.org/10.3390/land8090136

Viana, C.M., Santos, M., Freire, D., Abrantes, P., & Rocha, J. (2021). Evaluation of the Factors Explaining the Use of Agricultural Land: A Machine Learning and Model-Agnostic Approach. Ecological Indicators, Vol 131, pages 108200. https://doi.org/10.1016/j.ecolind.2021.108200

Vilas-Boas, J., Klerkx, L., & Lie, R. (2022). Connecting Science, Policy, and Practice in Agri-Food System Transformation: The Role of Boundary Infrastructures in the Evolution of Brazilian Pig Production. Journal of Rural Studies. Vol 89: 171-185. https://Doi.Org/10.1016/J.Jrurstud.2021.11.025

Wagle, N., Acharya, T.D., Kolluru, V., Huang, H., & Lee, D.H. (2020). Multi-Temporal Land Cover Change Mapping Using Google Earth Engine and Ensemble Learning Methods. Applied Sciences, Vol 10(22), pages 8083. https://doi.org/10.3390/app10228083

Wildayana, E., & Armanto, M.E. (2018a). Dynamics of Landuse Changes and General Perception of Farmers on South Sumatra Wetlands. Bulgarian Journal of Agricultural Science. Vol 24(2), 180-188. http://www.agrojournal.org/24/02-02.html

Wildayana, E., & Armanto, M.E. (2018b). Formulating Popular Policies for Peat Restoration Based on Livelihoods of Local Farmers. Journal of Sustainable Development. Vol 11(3), 85-95. https://doi.org/10.5539/JSD.V11N3P85

Wildayana, E., & Armanto, M.E. (2018c). Lebak Swamp Typology and Rice Production Potency in South Sumatra. Agriekonomika, Vol 7(1); 30-36. https://doi.org/10.21107/agriekonomika.v7i1.2513

Wildayana, E., & Armanto, M.E. (2018d). Utilizing Non-Timber Extraction of Swamp Forests over Time for Rural Livelihoods. Journal of Sustainable Development. Vol 11(2); 52-62. https://doi.org/10.5539/jsd.v11n2p52

Wildayana, E., & Armanto, M.E. (2021). Empowering Indigenous Farmers with Fish Farming on South Sumatra Peatlands. Jurnal HABITAT, Vol 32(1), 1–10. https://Doi.Org/10.21776/Ub.Habitat.2021.032.1.1

Xu, X., Chen, M., Yang, G., Jiang, B., & Zhang, J. (2020). Wetland Ecosystem Services Research: A Critical Review, 2020. Global Ecology and Conservation, Vol 22, e01027, https://doi.org/10.1016/j.gecco.2020.e01027

Zahri, I., Sabaruddin, Harun, M.U., Adriani, D., & Wildayana, E. (2018). Comparing Rice Farming Appearance of Different Agroecosystem in South Sumatra, Indonesia. Bulgarian Journal of Agricultural Science, Vol 24(4); 189-198. https://www.agrojournal.org/24/02-03.pdf

Zhang, L., Song, J., Hua, X., Li, X., Ma, D., & Ding, M. (2022). Smallholder Rice Farming Practices across Livelihood Strategies: A Case Study of the Poyang Lake Plain, China. Journal of Rural Studies. Vol 89, 199-207. https://Doi.Org/10.1016/J.Jrurstud.2021.12.001

Zhang, M. (2021). Modeling Net Primary Productivity Of Wetland With A Satellite-Based Light Use Efficiency Model. Geocarto International 0:0, pages 1-25. https://doi.org/10.1080/10106049.2021.1886343

Zhang, W., Liu, H., Wu, W., Zhan, L., & Wei, J. (2020). Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability. Remote Sensing, Vol 12(10), 1620. MDPI AG. Retrieved from http://dx.doi.org/10.3390/rs12101620

Zhu, L., Liu, X., Wu, L., Liu, M., Lin, Y., Meng, Y., Ye, L., Zhang, Q., & Li, Y. (2021). Detection of Paddy Rice Cropping Systems in Southern China with Time Series Landsat Images and Phenology-Based Algorithms. GIScience & Remote Sensing, Vol 58(5), 733-755. https://doi.org/10.1080/15481603.2021.1943214




DOI: https://doi.org/10.21107/agriekonomika.v11i1.13191

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