Research article

Impressions of remote area electrification on social and economic indicators

  • Received: 16 April 2020 Accepted: 14 October 2020 Published: 23 October 2020
  • The development of any country depends on the electrification of rural regions as most of the population is residing in rural areas. Development is counted in terms of per capita energy consumption as well as even distribution of electricity. This paper presents an investigation of the impact of rural electrification on lighting, studying, energy expenditure, and income. Data has been collected from southern region rural villages. Some villages are connected and some are non-connected with the grid. To estimate the decision probability of getting connected from households, electrified and non-electrified villages are evaluated. These observations are used to determine the impact of electrification of rural areas on resultant indicators. The authors observed a minor positive effect on home study and income, whereas a major effect on lighting usage. Finally, the potential improvements in the socio-economical status of rural people by improved lighting are highlighted.

    Citation: Pawan Singh, Baseem Khan, Hassan Haes Alhelou, Om Prakash Mahela. Impressions of remote area electrification on social and economic indicators[J]. AIMS Energy, 2020, 8(6): 1045-1068. doi: 10.3934/energy.2020.6.1045

    Related Papers:

  • The development of any country depends on the electrification of rural regions as most of the population is residing in rural areas. Development is counted in terms of per capita energy consumption as well as even distribution of electricity. This paper presents an investigation of the impact of rural electrification on lighting, studying, energy expenditure, and income. Data has been collected from southern region rural villages. Some villages are connected and some are non-connected with the grid. To estimate the decision probability of getting connected from households, electrified and non-electrified villages are evaluated. These observations are used to determine the impact of electrification of rural areas on resultant indicators. The authors observed a minor positive effect on home study and income, whereas a major effect on lighting usage. Finally, the potential improvements in the socio-economical status of rural people by improved lighting are highlighted.


    加载中


    [1] Human Development Reports (2018) Available from: http://hdr.undp.org/en/humandev.
    [2] Banerjee A, Mullainathan S (2008) Limited attention and income distribution. Am Econ Rev 98: 489-493.
    [3] La Ferrara E, Chong A, Duryea S (2008) Soap operas and fertility: Evidence from Brazil. Am Econ J: Appl Econ 4: 1-31.
    [4] Independent Evaluation Group (IEG) (2008) The welfare impact of rural electrification: A reassessment of the costs and benefits. Washington, DC: World Bank. Available from: https://openknowledge.worldbank.org/handle/10986/6519.
    [5] Peters J (2009) Evaluating rural electrification projects: Methodological approaches. Well-Being Social Policy, 5: 25-40.
    [6] UN (2005) The energy challenge for achieving the millennium development goals. United Nations. Available from: http://www.undp.org/content/undp/en/home/librarypage/environment-energy/sustainable_energy/the_energy_challengeforachievingthemillenniumdevelopmentgoals.html.
    [7] World Bank, (2018) Data Portal: Electricity Access. Available from: https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS?locations=ET.
    [8] Li J, Liu P, Li Z (2020) Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: A case study of west China. Energy 208: 118387.
    [9] Juanpera M, Blechinger P, Ferrer-Martí L, et al. (2020) Multicriteria-based methodology for the design of rural electrification systems. A case study in Nigeria. Renewable Sustainable Energy Rev 133: 110243.
    [10] Almeshqab F, Ustun TS (2019) Lessons learned from rural electrification initiatives in developing countries: Insights for technical, social, financial and public policy aspects. Renewable Sustainable Energy Rev 102: 35-53.
    [11] Cuesta MA, Castillo-Calzadilla T, Borges CE (2020) A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities. Renewable Sustainable Energy Rev 122: 109691.
    [12] Sato T, Ide J, Alhaqurahman Isa M, et al. (2017) A Challenge for sustainable electrification, respecting the local tradition in Ciptagelar Village, West Java, Indonesia: Complementary Approach with a private company. Energy Procedia 141: 368-372.
    [13] Africaguide, (2018) Available from: https://www.africaguide.com/afmap.htm.
    [14] Ravallion, M (2008) Schultz TP, Strauss JA (eds) Evaluating Anti-Poverty Programs. Handbook of Development Economics. 59: 3787-3846.
    [15] Energypedia, Ethiopia Energy Situation. Available from: https://energypedia.info/wiki/Ethiopia_Energy_Situation.
    [16] Grogan L (2018) Time use impacts of rural electrification: Longitudinal evidence from Guatemala. J Dev Econ 135: 304-317.
    [17] Fujii T, Shonchoy AS, Xu S (2018) Impact of Electrification on Children's Nutritional Status in Rural Bangladesh. World Dev 102: 315-330.
    [18] Rathi SS, Vermaak C (2018) Rural electrification, gender, and the labor market: A cross-country study of India and South Africa. World Dev 109: 346-359.
    [19] Thomas DR, Urpelainen J (2018) Early electrification and the quality of service: Evidence from rural India. Energy Sustainable Dev 44: 11-20.
    [20] Malakar Y (2018) Evaluating the role of rural electrification in expanding people's capabilities in India. Energy Policy 114: 492-498.
    [21] Hartvigsson E, Stadler M, Cardoso G (2018) Rural electrification and capacity expansion with an integrated modeling approach. Renewable Energy 115: 509-520.
    [22] Han H, Wu S (2018) Rural residential energy transition and energy consumption intensity in China. Energy Econ 74: 523-534.
    [23] López-González A, Domenech B, Ferrer-Martí L (2018) Lifetime, cost and fuel efficiency in diesel projects for rural electrification in Venezuela. Energy Policy 121: 152-161.
    [24] Ding H, Qin C, Shi K (2018) Development through electrification: Evidence from rural China. China Econ Rev 50: 313-328.
    [25] Pueyo A, DeMartino S (2018) The impact of solar mini-grids on Kenya's rural enterprises. Energy Sustainable Dev 45: 28-37.
    [26] Ethiopian demography and health. Available from: http://www.ethiodemographyandhealth.org/SNNPR.html.
    [27] Sianesi B (2004) An evaluation of the Swedish System of active labor market programs in the 1990s. Rev Econ Stat 86: 133-155.
    [28] Khandker SH, Barnes DF, Samad H (2009) Welfare impacts of rural electrification: a case study from Bangladesh (English). Policy Research Working Paper; no. WPS 4859. Washington, DC: World Bank. Available from: http://documents.worldbank.org/curated/en/230801467997272474/Welfare-impacts-of-rural-electrification-a-case-study-from-Bangladesh.
    [29] Miao YQ, Farahat AK, Kamel MS (2015) Ensemble Kernel Mean Matching. 2015 IEEE International Conference on Data Mining, Atlantic City, NJ, 330-338.
    [30] Austin PC (2014) A comparison of 12 algorithms for matching on the propensity score. Stat Med 33: 1057-1069.
    [31] Vestner M, Lä hner Z, Boyarski A, et al. (2017) Efficient deformable shape correspondence via kernel matching. 2017 International Conference on 3D Vision (3DV), Qingdao, 517-526.
    [32] Taneja S, Gupta C, Goyal K, et al. (2014) An enhanced K-Nearest neighbor algorithm using information gain and clustering. 2014 Fourth International Conference on Advanced Computing & Communication Technologies, Rohtak, 325-329.
    [33] Chen S (2018) K-Nearest neighbor algorithm optimization in text categorization. IOP Conference Series: Earth and Environmental Science 108: 052074.
    [34] Jamma D, Ahmed O, Areibi S, et al. (2017) Hardware accelerators for the K-nearest neighbor algorithm using high-level synthesis. 29th International Conference on Microelectronics (ICM), Beirut, 1-4.
    [35] Khan B, Singh P (2017) The current and future states of Ethiopia's energy sector and potential for green energy: A comprehensive study. Int J Eng Res Africa 33: 115-139.
    [36] World Bank (2002) Rural electrification and development in the Philippines: measuring the social and economic benefits (English). Energy Sector Management Assistance Program (ESMAP); no. ESM 255/02. Washington, DC: World Bank. Available from: http://documents.worldbank.org/curated/en/765461468776759888/Rural-electrification-and-development-in-the-Philippines-measuring-the-social-and-economic-benefits.
    [37] Fouquet R, Pearson PJG (2006) Seven centuries of energy services: The price and use of light in the United Kingdom (1300-2000). Energy J 27: 139-177.
    [38] Frondel, M, Schmidt CM (2005) Evaluating environmental programs: The perspective of modern evaluation research. Ecol Econ 55: 515-526.
    [39] Khandker SH, Barnes DF, Samad H, et al. (2009) Welfare impacts of rural electrification: evidence from Vietnam (English). Asia Sustainable and Alternative Energy (ASTAE) Program; Impact Evaluation series; no. IE 38; Policy Research working paper; no. WPS 5057. Washington, DC: World Bank. Available from: http://documents.worldbank.org/curated/en/369601468027552078/Welfare-impacts-of-rural-electrification-evidence-from-Vietnam.
    [40] Neelsen S, Peters J (2011) Electricity usage in micro-enterprises—Evidence from Lake Victoria, Uganda. Energy Sustainable Dev 15: 21-31.
    [41] Long JS, Freese J (2006) Regression Models for Categorical Dependent Variables using Stata. 3rd edition, Stata Press, USA.
    [42] Schmidt CM, Augurzky B (2001) The Propensity Score: A Means to An End, No 271, IZA Discussion Papers, Institute for the Study of Labor (IZA). Available from: https://EconPapers.repec.org/RePEc:iza:izadps:dp271. (Accessed on 10th May 2018).
    [43] Becerril J, Abdulai A (2010) The impact of improved Maize Varieties on poverty in Mexico: A propensity score matching approach. World Dev 38: 1024-1035.
    [44] Harding DJ (2003) Counterfactual models of neighborhood effects: The effect of neighborhood poverty on dropping out and teenage pregnancy. Am J Soc 109: 676-719.
    [45] Azoumah Y, Yamegueu D, Ginies P, et al. (2011) Sustainable electricity generation for rural and peri-urban populations of sub-Saharan Africa: The 'flexy-energy' concept. Energy Policy 39: 131-141.
    [46] Wandji YDF (2013) Energy consumption and economic growth: Evidence from Cameroon. Energy Policy 61: 1295-1304.
    [47] Sabina S, Pilar Rivera-Torres, Inés Suárez-Perales, et al. (2015) Analysis of energy poverty intensity from the perspective of the regional administration: Empirical evidence from households in southern Europe. Energy Policy 86: 729-738.
    [48] Oluseyi O Ajayi, (2013), Sustainable energy development and environmental protection: Implication for selected states in West Africa. Renewable Sustainable Energy Rev 26: 532-539.
    [49] Hulscher WS, Hommes EW (1992) Energy for sustainable rural development. Energy Policy 20: 527-532.
    [50] Iacus SM, King G, Porro G (2012) Causal Inference Without Balance Checking: Coarsened Exact Matching. Political Anal 20: 1-24.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2577) PDF downloads(156) Cited by(1)

Article outline

Figures and Tables

Figures(15)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog