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Benefits Of Rural Electrification
 

Benefits Of Rural Electrification

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Long standing proof that renewable energy like PV solar contrib utesto the end of poverty

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    Benefits Of Rural Electrification Benefits Of Rural Electrification Document Transcript

    • Chapter 5 Evaluation Highlights • Connections to RE lower the price of operating lighting and TV. • The impacts of RE on indoor air qual- ity, health, and knowledge, and fer- tility reduction are quantifiable and significant. • RE has some long-term impact on home businesses. • Off-grid solutions have demonstra- ble environmental benefits. • Willingness to pay is high and exceeds the average supply cost where grid connection is feasible. • Reducing consumption by high-end users through higher tariffs can have a net welfare benefit. • Off-grid investments usually have a lower rate of return than grid exten- sion because the costs are more and the benefits less.
    • A Sri Lankan village shop at dusk, lit by solar lamps. (Photo from the World Bank Photo Library.)
    • The Benefits of Rural Electrification T he main domestic uses of electricity are lighting and TV In the Bank’s . economic analysis, the valuation of the benefits of lighting have typi- cally been based on the willingness to pay (WTP), which is calculated on the basis of the cost of lighting using the existing source, usually a kerosene lamp. Domestic Uses: Lighting and TV consumer surplus associated with the new con- Older analyses instead compared the cost of kilo- sumption, Qe – Qk. watt hours from a diesel generator with that from the grid. This approach changed with the ESMAP The benefit to the consumer is B + C. It is com- study of the Philippines, which instead measured mon in project analysis to also include areas D and lighting as lumens consumed (see box 5.1). E, sometimes referring to the whole area B + C + D + E as WTP; that is not quite cor- The approach is illustrated in figure 5.1, which rect, as WTP includes area A also. It is Electricity supply reduces shows the demand for lumens. Electricity supply perfectly acceptable to include areas D the cost of energy to the lowers the cost of energy to the user, resulting in and E. This is the amount paid by the user. an increase in consumer surplus, which is the consumer, which is simply a transfer difference between what consumers are willing to payment to the utility and so a neutral flow for eco- pay and what they actually do pay. Data from an nomic analysis.1 The cost side of the analysis will energy survey give two points on the demand capture the cost of consumption. Assuming that curve: price of lumens and the quantity con- the average cost of supply (Ce) is less than tariff sumed using either kerosene as the source (Pk ,Qk ) rate, there will be a positive producer surplus, or electricity (Pe, Qe ). Using these two points, the which is being captured in this calculation (figure demand curve can be interpolated. 5.2). The alternative is to deduct the payments (D + E) from consumers and add them to pro- The amount the consumer is willing to pay for a ducers, so when summing across all flows these quantity Q is the area under the demand curve payments/receipts cancel out. from 0 to Q. Hence, the consumer is willing to pay A + B + D for consumption of Qk, but actually The calculation of WTP clearly depends on the pays just B + D (= Pk Qk ), leaving a consumer sur- shape of the demand curve, which determines the plus of A. Once electricity becomes available, the extent of area C (see appendix H for more dis- consumer surplus is A + B + C, so the increase cussion). The evidence base for the shape of this in consumer surplus as a result of electrification curve is still thin. Currently the most satisfactory is B + C. This consumer surplus has two parts: approach is to take two points on the curve, as in that arising from the reduction in the price of figure 5.1, and assume a constant elasticity (or the Qk units already being consumed and the log linear) demand curve. This approach has been 39
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N A selection of results is reported in table 5.1, show- Box 5.1: Shedding Light on Lumens ing an average household WTP of $9–16 a month. These figures are comparable for both grid and off- grid sources. The latter might be expected to be A lumen is a measure of light emitted: a candle emits around 12 lumens, lower, given that the level of service is lower; the a kerosene lamp from 30 to 80 lumens, and a 60-watt lightbulb 730 lumens. similar size of the WTP estimates partly reflects the So by using a single 60-watt lightbulb for four hours a day for one month means by which the demand curve is estimated.2 (30 days), a household is consuming 88 kilolumen hours (klh) (=4 x 30 x 730/1,000). Electricity consumption is 7.2 kWh per month (=4 x 60 x 30/1,000). Electrification projects are among those that still Suppose electricity costs the consumer $0.05 per kWh; then she has routinely report an ERR. More than 80 percent of a monthly lighting bill of $0.36, equivalent to a cost of $0.004 per klh. In con- the 120 projects did so, and most of the excep- trast, burning a kerosene lamp for four hours a night yields just 6 lumens tions were multisector projects. but costs about the same as the monthly electricity bill, giving a cost of $0.06 per klh. Moving from kerosene to electricity cuts the cost by more IEG examined the ERR calculations for 13 proj- than a tenth and increases consumption more than tenfold. ects.3 The following approaches were found to be used: IEG found four used in a number of Bank studies, such • Estimate WTP assuming a nonlinear demand approaches to as the PAD for Peru Rural Electrification. curve or a linear demand curve but taking only consumption used in ERR Some more recent studies rely on more a percentage of the estimate for area C to allow calculations. points on the curve (where a range of for overestimation. This approach conforms fuel options is available, say kerosene, to best practice. It was used in 5 of the 13 cases car batteries, and electricity) to estimate a kinked examined, including Peru Rural Electrification demand curve. However, other studies have as- and Senegal Electricity Services for Rural Areas sumed a linear demand curve, which results in an Projects. overestimation of WTP and so of total project • Estimate WTP assuming a linear demand curve. benefits, sometimes by a substantial magnitude This approach results in an overestimate of (see appendix H). project benefits. In one case the ERR fell from Figure 5.1: Consumer Surplus Figure 5.2: Producer Surplus 12 12 10 10 8 8 Pk A Price Price 6 6 B C 4 4 Pe Pe 2 2 Producer surplus D E Ce Cost of production 0 0 0 Qk 20 40 60 80 Q e 100 120 140 0 20 40 60 80 Q e 100 120 140 Quantity Quantity Note: Pe = price of electricity from the grid; Pk = price of kerosene; Qe = quantity of electricity Note: Ce = average cost of supply; Pe = price of electricity from the grid; Qe = quantity of elec- used from the grid; Qk = quantity of kerosene consumed. tricity used from the grid. 40
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N Table 5.1: Willingness to Pay Calculation for Lighting Grid Off-grid Lao PDR Peru Philippines Indonesia Bolivia Honduras Mozambique Nicaragua Quantity (lumen hours/month) Nonelectricity 20 4.6 4.1 8.8 7.0 5.5 48.7 2.4 Electricity 435 363 204 38 90 115 122 125 Price ($/lumen hour) Nonelectricity 0.20 0.57 0.36 0.55 0.48 0.50 0.10 0.33 Electricity 0.00 0.01 0.01 0.10 0.04 0.04 0.04 0.04 Expenditure ($/month) Nonelectricity 3.90 2.62 1.48 4.80 3.36 2.75 4.87 0.78 Electricity 1.31 3.63 1.53 3.81 3.60 4.60 4.87 4.36 WTP Total 11.20 16.16 7.36 11.08 12.24 13.68 9.73 9.01 Per klh 0.03 0.04 0.04 0.29 0.14 0.12 0.08 0.07 Per kWh 0.81 1.11 0.47 0.71 3.02 3.37 2.06 1.90 Average kWh 13.81 14.50 15.50 15.50 4.06 4.06 4.74 4.74 Sources: Calculations based on figures in project documents. Note: klh = kilolumen hours; kWh = kilowatt hour; WTP = willingness to pay. 60 percent in the project Implementation Com- There has been a change in appraisal methods pletion Report to just 12 percent when the over time, with more recent studies adopting the correct approach was used (and for the off-grid ESMAP approach. However, this approach has component of that project the ERR fell from 26 been unevenly applied, with the understanding percent to 1.5 percent); this approach was also of the approach among some task managers being used in 5 of the 13 cases. weak.4 There is more than one case of inappro- • Estimate WTP based on the alternative energy priate application of the approach, resulting in an source, and then value the whole of expected overestimation of project benefits. This suggests energy consumption with electricity at that a failing of the quality control mechanism of re- level. This approach neglects the downward ports that go to the Board—indeed, many proj- sloping demand curve, resulting in a substan- ect documents contain insufficient information for tial overestimate of project benefits. The only the analysis to be replicated, though these data example found was Peru Rural Electrification, are sometimes available in separate documents. but the analysis also underestimated benefits, as costs were double counted. But lighting is only one use of electricity, albeit the • Estimate benefits as the cost savings on cur- main one from a domestic perspective. If other rent consumption levels (that is, area B in fig- benefits are not also captured, then the return to ure H.1). This approach underestimates project the project might be underestimated. This has in- benefits because it ignores additional consumer deed been the case for many projects. surplus from new consumption (area C). Sev- eral older projects used this approach, such as Recent studies use the lumen-based approach to Malawi Power V . value the WTP per kilowatt hour and value all sales 41
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N Table 5.2: Willingness to Pay Calculation for TV Lao PDR Mozambique Peru Philippines Modern supply source Grid SHS Grid Grid Q units hours hours kWh hours Quantity: car battery 55 36.5 4.2 41.3 Quantity: electricity 106 91.25 11 129 Price: car battery 0.032 0.050 1.04 0.22 Price: electricity 0.001 0.025 0.18 0.0125 Exp(cb) 1.78 1.83 4.37 9.09 Exp(e) 0.11 2.28 1.98 1.61 Elasticity –5.30 –0.76 –1.82 –2.52 Intercept 17.79 –0.27 2.65 7.86 Ba 1.72 0.91 3.61 8.57 Ca 0.39 1.87 2.91 4.92 Total 2.11 2.79 6.52 13.49 WTP Total Per month 2.22 5.07 8.5 15.11 Per hour 0.021 0.056 0.06 0.12 Per kWh 0.26 0.69 0.77 1.46 Note: TV uses 80 watts per hour (that is, 0.08 kWh per hour). a. See figure 5.1. The price of operating a at that amount. That is, all sales are val- is $0.77 per kWh for TV usage, compared to $1.11 TV is lower and the ued at the WTP for electricity for light- per kWh for lighting—the WTP for a kilowatt amount of usage is higher ing. Such an approach may yield either hour for lighting is almost twice that for TV). But with a grid connection. an underestimate or an overestimate, for the Philippines the WTP for TV is higher than depending on the WTP for other end for lighting. uses. Where possible, it is preferable to measure the benefits from these end uses separately. Health Benefits The health benefits from RE operate through a An approach similar to that based on the demand number of channels: curve can be used to calculate the benefits from television, where the unit of consumption is hours • Improvements to health facilities of television watched per month. In the absence • Better health from cleaner air as households re- of a grid connection, TVs are operated using car duce use of polluting fuels for cooking, light- batteries, which will provide the price and quan- ing, and heating (Hutton and others 2006) tity against which to compare grid electricity. As • Improved health knowledge through increased with lighting, the price is lower and the quantity access to television higher with a grid connection (see table 5.2), al- • Better nutrition from improved knowledge though the change in quantity is not as and storage facilities from refrigeration. Household electrification marked as with lighting. was found to have a Each of these benefits is explored here. The find- significant impact on For two of the cases, the WTP for a ings support the view that there are health ben- health outcomes in kilowatt hour is greater for lighting efits from RE, including fertility reduction (next Bangladesh. than for TV (for example, in Peru WTP section)—but the survey instruments were not de- 42
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N signed with the intention of examining these is- sues and so should be seen as suggestive; further Box 5.2: The Health Risk of Candles research and evaluations are needed to strengthen the evidence base. The health risks from candles have only recently been appreciated, since a 1999 Australian study showed that the lead used in candle wicks results Indoor air quality in air lead concentrations at levels far in excess of established safety stan- The use of traditional solid fuels such as fuel- dards. Burning a candle for a few hours in an enclosed room results in wood crop residue and dung exposes people— lead concentrations sufficient to cause fetal damage or to harm the men- especially women and young children—to indoor tal development of children. air pollution, with consequent health risks: prin- Since the Australian study was done, many developed countries have cipally acute lower respiratory infections, but also banned the use of lead in wicks, but these bans do not affect candles made low birth weight, infant mortality, and pulmonary for developing county markets. tuberculosis. A review of existing studies showed that exposure to indoor cooking using traditional methods increased the risk of premature death by a factor between two and five. These diseases adult work days average 3 per year, and the ad- caused by indoor air pollution cause between 1.6 ditional under-five mortality is 2.2 per 1,000. So and 2 million excess deaths each year,5 more than substituting electric lighting for kerosene lamps half of them among children younger than five. has a quantifiable health benefit of $2.50 per This figure accounts for 2.7 percent of the global household. burden of disease. There is also a fire risk. In ad- dition, fuel collection imposes a costly time bur- A second, relatively unrecognized Where RE can help is in den of up to 8 hours a week (appendix D), once health benefit from RE comes from the replacement of again usually mainly on women. displacing candles (see box 5.2). How- kerosene lamps with ever, candles are not used for lighting electric lamps, a change In principle, RE can tackle both of these issues, pro- that much. They do have nonlighting that reduces indoor air moting better health through reduced indoor air uses, such as for ceremonial pur- pollution. pollution and reducing the time burden on women poses—but these are not affected by of fuel collection. However, in practice, these ben- electrification, so these effects are not captured efits have been little realized because (as shown in this study. in the previous chapter) electricity is largely not used for cooking in rural areas.6 Knowledge and fertility reduction IEG’s impact evaluation of health outcomes in But improvements in indoor air quality can also Bangladesh (IEG 2005) found a significant impact come about through changes in lighting source. of household electrification on mortality. One pos- Kerosene lamps emit particles that cause air pol- sible channel for this effect is that access to media lution; these are measured by the concentration improves health knowledge. Chapter 4 demon- of the smallest particles per cubic meter (PM10). strated the link between electrification and access Burning a liter of kerosene emits PM51 micro- to television. IEG analyzed DHS data for eight grams per hour, which is just above the World countries to examine how access to media (radio, Health Organization 24-hour mean standard of TV and newspapers) affects women’s health knowl- , PM10 of 50 micrograms per cubic meter. But edge (see appendix G for full details). these particles do not disperse, so burning a lamp for four hours can result in concentrations several The causal chain for the first possible health im- times the World Health Organization standard. pact is as follows: The extra risk of respiratory sickness from expo- • Access to electricity increases time spent watch- sure to these levels of PM10 is captured in the haz- ing TV and listening to the radio. ard ratio (the relative probability of the exposed • Increased access to media increases awareness versus unexposed being sick), which is 3.5. Lost of health issues. 43
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N • This increased awareness results in changed cause there is more light and because TV and health behavior. radio provide an “alternative to sex” for recre- • Changed behavior improves health outcomes ation. However, the data do not support this and reduces fertility. point of view. TV watching only significantly affects sexual activity in one of the eight cases, and house- Access to television The link between electrification, TV hold electricity is never significant. To the contrary, significantly increases ownership, and TV viewing was demon- electrification indirectly increases sexual activity, women’s knowledge of strated in chapter 3. It was also shown as coital frequency is higher for women using health and family that the access to TV in villages where modern contraception, the knowledge of which planning. not all people have a TV cannot be comes in part from TV . taken for granted. Multivariate analysis of the determinants of women’s knowl- These results can be used to estimate the impact edge of health and family planning provides very electrification has on fertility (table 5.3). The strong evidence that access to television signifi- total effect is the combination of the direct im- cantly increases this knowledge; this variable is sig- pact from the fertility equation and the indirect nificant in all but one of the 11 cases examined impact via higher knowledge (which is the knowl- (see appendix G). edge coefficient from the fertility equation mul- tiplied by how electricity affects knowledge, taken The household electrification variable is not sig- as the coefficient on the household electricity nificant but becomes so when television is dropped variable in the absence of the media variables). from the equation, which shows that television is These calculations show a median impact of a re- the channel through which electrification affects duction in fertility of 0.6 children as a result of health knowledge. But the percentage of house- electrification. holds that have television is significant in only one case (Ghana), so, in general, the channel of However, the link between electrification and other households having television does not op- mortality does not appear strong; the results are erate. As noted above, women are the least likely not robust. Immunization and knowledge are to view television in someone else’s home. both significant in a few cases, but not over- whelmingly so, as earlier links in the chain are. The next step is to examine the extent to which knowledge affects practice. Two health practice Nutrition is an outcome that may also be affected variables are examined: use of modern contra- by knowledge, both because health knowledge ceptives and child immunization. The contra- proxies for nutrition knowledge and because ill ceptive knowledge variable was significantly, health (notably diarrhea) is a major factor in poor positive in all 11 equations estimated. For im- nutrition. In addition, electricity may positively af- munization status, the knowledge variable was sig- fect nutrition by allowing refrigerated food storage. nificant, with the expected sign in 53 of the 55 estimated equations. The link between knowl- Two nutrition measures are used to evaluate the edge and practice is thus firmly established. effect of nutrition: the height for age z score (HAZ) and the weight for age z score (WAZ). The z score The final step is the link between knowledge and is a standardized measure; being more than two z outcomes. In seven of the nine cases, the health scores below the reference value constitutes being knowledge variable has a significant negative im- undernourished; being more than three scores pact on fertility. The household electricity variable below constitutes severe undernourishment. HAZ is also significant and negative in seven cases. What is taken as a measure of long-run nutritional sta- are the possible reasons for this latter finding? tus; WAZ indicates short-run status. The condi- tioning variables are similar to those used in the A possible reason is that electricity reduces coital mortality equations. These are in turn similar to frequency by increasing waking hours, both be- those used throughout this analysis but with more 44
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N Table 5.3: Fertility Impact of Electrification Bangladesh Ghana Indonesia Morocco Nepal Nicaragua Peru Philippines Senegal Knowledge equation Electrification status 0.28 0.38 0.02 –0.10 0.17 0.10 0.23 0.16 0.08 Child ever born: TFR equation Electrification status –0.02 –0.08 –0.08 –0.11 –0.09 0.04 –0.01 –0.16 –0.16 Knowledge variable –0.02 –0.03 –0.01 –0.07 0.02 –0.04 –0.03 –0.03 0.00 TFR at age 50 5.83 6.35 4.63 6.32 5.98 7.25 6.57 5.54 7.42 Impact of electrification 5.68 5.77 4.26 5.67 5.46 7.51 6.45 4.63 6.23 Reduction –0.15 –0.58 –0.37 –0.65 -0.52 0.26 –0.11 –0.91 –1.19 Reduction (only significant variables) 0.00 –0.07 –0.37 0.00 –0.52 –0.03 –0.05 –0.91 –1.19 Source: Appendix H. Note: TFR = total fertility rate. demographic variables, because there is possible (the United States is a clear example— Calculations show that competition for resources between siblings. child-raising costs are very high and the electrification results in pecuniary advantages negligible). fertility reduction. The knowledge variable affects HAZ in four of the six countries for which data are available; it af- An alternative approach is to take the value of fer- fects WAZ in three of the six. There is also an in- tility reduction to be the cost of achieving the direct effect, with immunization status affecting same decline in fertility through a reproductive nutrition in two of the six countries.7 Data on health intervention. To take a successful example, households owning a refrigerator were available approximately $5 billion was spent on the Bangla- for four countries: the coefficient was significantly desh family planning program, bringing the total positive on HAZ in two of the four countries and fertility rate down from around seven to three chil- in just one of the four for WAZ. There is thus ev- dren per family. As a conservative estimate, at idence that electrification improves child nutri- least half of this fertility decline is attributable to tional status, but the channels are not operating the family planning program (see IEG 2005). The in all countries. number of averted births from this fertility decline was 60 million. Hence, the cost of a one-child re- Is it possible to put a value on these effects? Valu- duction in fertility is $167 per averted birth. So ing fertility decline is a difficult matter. A straight- the fertility-reduction benefit of RE is approxi- forward economic (Beckerian) approach is to mately $100 per household. However, only 10 assume that families wish to avert births with a neg- percent of the RE impact was through clearly ative net present value, so the benefit of averted identifiable channels, so a lower limit of the RE births is the avoidance of incurring this negative impact is $10 per household. net present value. This approach was used to cal- culate the benefits of family planning programs in Time Use the 1970s, including by Bank analysts. However, it Electrification can affect time use in a variety of has fallen out of favor—at the Bank there is no re- ways: watching TV greater participation in com- , quirement to perform cost-benefit analyses for so- munity activities and socializing, reducing time cial sector interventions. Anyway, conceptually it spent on household work or shifting it to the is clear that parents want to have children even evening, increasing time spent reading or—for when they have a huge negative net present value children—doing homework, and extending hours 45
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N of home businesses. These additional activities are most a two-year difference (8.5 versus 6.7 years). made possible by the longer waking hours elec- However, this is a single difference estimate that tricity makes possible, with households reporting does not allow for other factors such as parental they stay up, on average, an additional one to education, household income, and school facil- two hours. ities. But IEG’s analysis of DHS data for nine countries also found that electricity has a direct The main use of this additional time is watching impact on rural education once these factors TV; indeed, time spent watching TV is greater are controlled for. What are the reasons for this than the increased time available, suggesting that impact? it cuts into other activities (table 5.4). One such activity is reduced time on housework—the Philip- In low-income countries rural schools often lack pines study found that women spent one hour less basic equipment, such as furniture and adequate on such tasks as a result of electrification. But textbooks—the presence of electricity does not other studies have suggested that women’s work affect these important constraints.9 The failure of burden can actually increase, as household ac- teachers to take up posts in remote locations and tivities can be carried out in the evening, allow- frequent absenteeism from such postings are ing more working hours on other activities.8 problems in many countries, and the evidence pre- Indeed, the latter may be one explanation for in- sented in the last chapter, albeit for just one coun- creased business hours, which are found in IEG’s try, supports the argument that the availability of analysis of data from Ghana and the Philippines electricity makes rural positions more attractive (but not in Peru). to teachers. This is thus one possible reason for the higher education levels, with improved school Education Benefits quality encouraging students to stay on longer or The main channels through which electrification enabling them to do so as their grades improve may affect education are (1) by improving the from better teaching. quality of schools, either through the provision of electricity-dependent equipment, or increasing The other possible explanation is that increased teacher quantity and quality; and (2) time alloca- study time at home results in better grades, so chil- tion at home, with increased study time, though dren stay in school longer. There is indeed evi- the availability of TV may decrease that time (but dence that electricity increases study time (by at the same time it may also possibly provide ed- approximately an hour an evening in the case of ucational benefits). the Philippines—see appendix G), but no study follows the causal chain through to improved re- Children in electrified households have higher ed- sults and higher educational attainment. ucation levels than those without electricity. The ESMAP Philippines study (ESMAP 2003) finds al- Productive Uses A general conclusion from analysis of RE pro- grams is that the impact on productive activities Table 5.4: Hours Watching TV by Electrification is limited. But three caveats are needed to this con- Status clusion. The first is that some irrigation programs (and Bank projects) have focused on RE for irri- Lao PDR Car battery: 1.78 hours/day gation programs, and—in India, at least—were SHS: 2.20 hours/day linked to the spread of Green Revolution tech- Grid: 3.55 hours/day nologies (see Barnes 1988; Binswanger and Regression estimate: 1.26 hours/day = 37.8 hours/month Khandker 1993). Philippines Car battery: 1.85 hours/month Grid: 129 hours/month Second, in cases where there has been a com- Regression estimate: 2.25 hours/day = 67.5 hours/month plementary program to assist productive uses of Sources: ESMAP 2002; IEG analysis of survey data for Lao PDR. electricity, there has been more success—an early 46
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N example being USAID support in Colombia in the 1960s. However, only a minority of Bank- Box 5.3: Micro Home Enterprises supported projects have had such components. Electrification may bring the chance for small busi- Finally, considering home enterprises, the effects ness activities that help defray the costs of electrifi- are greater than those from medium and large cation. In Ghana, the woman of the household firms, although these enterprises may be small in- prepares snacks to be sold to people who come to her deed, such as renting out refrigerator space (see house to watch television in the evenings. In South box 5.3). Africa, households sell cold drinks and rent out re- frigerator space. IEG’s analysis of household survey data does find evidence of a positive impact of RE on home busi- nesses. The finding is strongest for the 15-year panel data from 1988 to 2003: the number of home businesses grew significantly more in communities • GEF funding is taken as the international com- that became electrified than in either those com- munity’s WTP for reduction in global CO2 emis- munities that did not or those that were already sions; that is, the total value of electrified in 1988 (appendix F). Similar evidence reduced emissions equals the GEF Off-grid renewable was not found in the other panel data set (Peru), contribution to the project. The energy activities but the year between surveys occurred at a time value per ton of CO2 avoided is have positive when rural areas were experiencing considerable based on an estimate of the amount environmental unrest. In addition, the presence of electricity ex- of CO2 avoided divided by the benefits. tends the work hours of home businesses, and amount of GEF funding. Examples this increases the net income from these activities. include Argentina Renewable Energy in Rural Markets Project, China Renewable Energy, In- Global Benefits donesia Solar Home Systems, and Honduras RE largely involves transmission and distribution, Rural Electrification. so, unlike power-generation projects, it has lim- • As an alternative approach, global environ- ited direct environmental impact. To the extent mental benefits are estimated using GEF that electrification promotes increased energy incremental costs. One example is the Nic- consumption, it increases CO2 emissions, though aragua Off-Grid Project, where GEF’s incre- these are at least partially offset by the fuel dis- mental cost for minigrids is based on a placed. Grid-extension projects have not entered Prototype Carbon Fund WTP of $7 per ton of into these calculations, so the net balance of cost CO2. The same approach was used in the Bo- and benefits cannot be reported here but would livia Decentralized Infrastructure for Rural be a useful area for further analysis. Transformation Project. • Avoided emissions are calculated and valued at Off-grid activities are an exception, because Bank carbon prices currently observed in the carbon support for off-grid energy supply mainly relies market. Using this approach, the Senegal Elec- on RET, the most common being SHSs (see ap- tricity Services for Rural Areas Project values 1 pendix table B.26). Installation of RET generation ton of avoided CO2 emissions at $4.50 per ton. capacity displaces existing nonrenewable energy • The emission factor from the project (which for sources, mostly kerosene, thus creating an envi- the Mexico Carbon Fund Project is 0.584 tons ronmental benefit. The main benefit is averted of CO2 emissions/MWh) is calculated, and then CO2 emissions, the value of which should be in- the value of CO2 reductions at the price of en- cluded in the benefit stream. ergy sales to the grid ($0.057 per kWh). Bank project documents value this amount in one The most common methods are based on GEF’s of four ways, the first two being the most common: decision of how much to allocate to the project. 47
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N GEF’s country allocations are based on a two- was only calculated for the Philippines, where part formula: the potential for reducing CO2 emis- it was found to be zero. sions (the product of the baseline emissions and • Improved health comes from the value of re- the rate of reduction over the previous decade) duced mortality as a result of improved indoor and an institutional quality measure of the ca- air quality from reduced reliance on kerosene pacity to implement environmental programs. lamps, which has a monthly annuity value of How much money a project gets from GEF de- $0.02. pends on the country allocation and the number • Reduced fertility coming from knowledge from of projects. Hence, the GEF-based estimation of channels accessed using electricity, valued at the environmental benefits is not project specific and cost of achieving fertility reduction through thus bears no relation to the actual level or value reproductive health programs. The lower limit of carbon emissions averted. of these benefits was placed at $10, which is equivalent to a monthly “annuity” of $0.08. Calculation of CO2 Application of the method results in dif- • Public goods benefits, such as increased secu- emissions averted is done ferent valuations of the worth of avert- rity, have not been estimated in any of the in several different ways, ing CO2 emissions from project to cases, but are listed for completeness. Global resulting in ERRs that are project. This figure varies as well, be- benefits from reduced CO2 emissions apply not comparable. cause different documents use differ- only to off-grid components. As argued in the ent approaches. As the benefit is a text, calculations should also reflect the net global one, it should be expected that a ton of CO2 environmental impact of increased energy con- emissions saved carries the same value regardless sumption as a result of grid extension, but this of the source. Using a variety of methods to arrive has not been calculated in any Bank studies. at different values per ton of CO2 undermines the comparability of the resulting ERRs. Obtaining the total benefits from RE is difficult for two reasons. First, some of the benefits are diffi- Adding Up the Benefits cult to put a value on. The rationale for the ESMAP Table 5.5 summarizes the data for selected coun- study of the Philippines was that it was the re- tries for which a range of benefits have been sulting systematic undervaluation of the benefits quantified. These benefits are as follows: from electrification that made these projects appear unattractive investments. Accordingly, • Benefits from lighting and TV/radio, calculated the study valued a broader range of benefits, as WTP . showing these to be substantially in excess of • Education benefits from higher educational at- those from lighting alone (see table 5.4). However, tainment by the children of electrified house- the second problem is that there can be double holds, which results in higher future earnings. counting. The present value of these incremental future earnings is calculated and imputed to a monthly Double counting can occur because households’ figure.10 WTP for lighting or TV includes the value they at- • Time saved from household chores (additional tach to longer waking hours, better indoor air leisure time), valued at the opportunity cost of quality, greater study time, and the informational labor, that is, the average wage.11 benefits flowing from watching television. Project • Productivity of home business includes total net documents often calculate the benefits based on revenue from new businesses and incremen- WTP for lighting and sometimes TV noting that , tal revenue to existing businesses. Because the these are underestimates because there are many results are for the average household, they other benefits not included. In fact, though, many have to be adjusted to reflect the proportion are included in the household’s valuation of its of households with a home business.12 WTP It is only the public good elements of house- . • Similarly increased agricultural productivity hold consumption that are not included, which calculated as incremental revenue. This figure might include, for example, knowledge benefits 48
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N Table 5.5: Rural Electrification Benefits (US$ per household per month) Benefit Philippines Peru Lao PDR Bolivia Lighting 7.36a 16.16 5.60 12.24 TV 15.11 8.5 2.22 4 Radio (included in TV) Not estimated Not estimated Not estimated Education 12.46 Not estimated Not estimated Not estimated Time saved for household chores/increased leisure 5.30 5.5 5.5 5.5 Productivity home business: existing business 6.30 0.0 3.40 Not estimated Productivity home business: new business 5.25 0.0 2.35 Not estimated Improved health 0 0.02 0.02 Not estimated Reduced fertility Not estimated 0.08 0.08 Not estimated Increased agricultural productivity 0 0 Not estimated Not estimated Public good benefits (including security) Not estimated Not estimated Not estimated Not estimated Reduced pollution (global benefits)b Not estimated 0.24 0.15 0.20 Source: IEG data. a. IEG estimates for the Philippines differ from those by ESMAP (2002) because that study used a linear demand curve. b. Applies to off-grid beneficiary households only. Assumes 0.6 ton of CO2/MWh priced at $8/ton of CO2. to outsiders watching the household television, and there are not missing benefits but Calculating the total household members spreading this knowledge by a mispricing of some output, with an benefits of electrification word of mouth (though IEG’s analysis suggests unknown bias on the ERR. But if the is difficult because some these are very much second-order benefits), or benefits are truly omitted, then the benefits are difficult to public benefit from an external light. omission is not serious if the ERR is value and there is a above the threshold anyway, which is potential for double Even if the health and fertility benefits are addi- usually the case. counting. tional, their monthly value is quite small. However, this study is the first to quantify these, so these Total household WTP depends on the extent to estimates should be treated with caution until which it is believed other benefits are internalized further data and analysis are available to strengthen in the WTP for lighting and TV Assuming they are . the evidence base. In contrast, the education ben- so internalized, with an allowance for unaccounted efit is sizeable. Again, further research is needed benefits, gives a WTP of $10–30 per household to fully understand this channel. For those house- per month (excluding home business benefits), holds that do have a home business, there appears corresponding to around $0.20–0.60 per kWh, to be a reasonable income impact from RE. depending on whether other benefits are inter- nalized in the WTP Assuming these benefits are . Table 5.5 shows that there are other, unquantified, not internalized adds up to another $30 to this benefits. Project documents typically speak of amount (though the Philippines study derived ERR estimates being conservative because they rather higher figures), giving a range of $40–70 per omit some benefits. Of course, total consumption household per month (or around $1.00 and higher is being valued at the household WTP for lighting, per kWh). 49
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N How Do the Benefits Compare than $0.03 a day ($0.78 a month) if amortized over with the Costs? 20 years, and thus is well within the affordability Actual connection costs vary between $150 and of even most poor households, the absence of $2,000 per household, depending on the loca- credit markets means these households are not tion and size of the community; costs are even less in a position to spread the payment in this way. in already connected communities. The estimate The two solutions are to fill the gap in the credit of household benefits at a midpoint of $50 a market and to subsidize the connection fee for month equals $600 a year, meaning that the break- poorer households. As argued earlier, the mar- even point is between one and three years and that ket can be segmented by the connection lag, al- discounting net benefits over, say, a 20-year period lowing an increase in both the utility’s financial will give a good rate of return. Put another way, the performance and the economic return to the household WTP is well above the average supply project. cost. Rural grid connections can indeed New approaches be good investments, though each in- But, as this report stresses, decision making is convincingly demonstrate vestment is context specific regarding context specific. Many African countries have yet that WTP is high and both costs (generation and supply costs to embark on RE. In these cases, connection costs generally exceeds the vary widely and depend on tackling will be high, and many areas may not be con- average supply cost where technical issues, most notably system nected to the grid for some years. The emphasis grid connection is losses) and benefits (which vary ac- in the coming years will be on putting in place the feasible. cording to alternative energy sources, basic infrastructure for grid connections with an potential for productive use, and so on). eye on financial sustainability, which will imply relatively low community connection rates, in- What the new approaches have convincingly creasing coverage by extensive rather than in- demonstrated is that the WTP for RE is high and tensive growth. almost invariably exceeds the average supply cost for areas in which grid connection is considered At the same time, there will be areas beyond the feasible (see figure 5.3). The immediate implica- reach of the grid that will be suitable for off-grid tion of this finding is that the ERR will exceed the connections. In these schemes the subsidy ele- financial rate of return, a state of affairs that points ment can be tilted toward the bottom end to in- to the policy conclusion that the financial rate of crease connection rates. A second group of return can be raised by increasing tariffs if a countries, mostly in Asia, is still struggling to es- stronger financial rate of return is needed. tablish the financial sustainability of its grid pro- grams. The analysis shows that the market can Reducing consumption of But assuming that return is sufficient bear tariff increases, though these may be politi- the high-end consumers for sustainability, then the policy con- cally unpopular. through a higher tariff clusion is that the project ERR can be will raise consumption of raised through a cross-subsidy-based re- But there is another group of countries that has the low-end consumers, distribution. The argument is a simple put the utility on a sound financial footing and is providing a net welfare utilitarian one: the marginal benefit to in a position to reap the full potential benefits of benefit. the low-level consumer exceeds that to RE. These benefits will be realized by shifting to the high-end consumer; reducing the intensive growth, which is made possible by re- consumption of the latter by charging a higher duced or monthly connection charges for late price to raise the consumption of the former re- connectors, increasing and diversifying patterns sults in a net welfare gain. of electricity use through consumer education, and providing support to productive uses. The strength of this argument is reinforced by the fact that low-income households may be willing Off-Grid Connections to pay but cannot afford to. The connection fee The rate of return to RET investments can be ex- is typically $100. Although this comes to a less pected to be lower than that in grid electricity be- 50
    • T H E B E N E F I T S O F R U R A L E L E C T R I F I C AT I O N Figure 5.3: Willingness to Pay Exceeds Supply Cost 0.45 0.40 0.35 0.30 $/kWh 0.25 0.20 0.15 0.10 0.05 0.00 Bangladesh Lao PDR Philippines India India Indonesia 1990 2005 1994 (Nathpa Jhakri) (Rajasthan) 2000 1989 2000 WTP Price Cost of supply Source: Project documents and IEG calculations. Note: kWh = kilowatt hours; WTP = willingness to pay. cause, at present, the costs are usually higher and The same survey found that satisfac- Africa generally is the benefits lower. To clarify the statement on tion with quality and quantity of elec- far from having the costs: the cost of providing electricity to the com- tricity supply is much lower for infrastructure needed to munity should be lower using a RET than con- households connected by SHS: nearly build a rural grid, and necting that community to the grid (otherwise all (92 percent) of such households say many Asian countries it should be part of a grid-extension program), they need more kilowatt hours to still struggle with but the cost per kilowatt hour will likely be greater cover their needs, which is the case for financial sustainability than the cost for those who are connected to less than a third of grid-connected of their grids. the grid. The benefits are lower because the households. capacity is less, so off-grid connections support fewer appliances and possibly provide fewer In addition, off-grid projects have suffered from hours of lighting. But of course the choice for technical problems resulting from lack of technical these communities is not between grid and capacity in rural areas and the logistical difficul- off-grid, but among grid, kerosene, and car ties of servicing equipment (see box 5.4). These batteries. problems mean systems fall into disuse or run below planned capacity, further reducing the re- For example, the IEG analysis of survey data for turn. For example, IEG reanalyzed the rate of re- Sri Lanka showed that the median household turn for off-grid investments under the Lao PDR total wattage of all lightbulbs used is 360 watts for Southern Provinces Rural Electrification Project; grid-connected households and just 60 watts the review by Bank operational staff estimated the for SHS users.13 In addition, households with ex post ERR to be 26 percent. But allowing for the SHS own practically no electrical appliances other technical problems reduced the return to 16 per- than a TV, whereas a large proportion of grid- cent (which fell to –9.4 percent once the revalu- connected households own a range of appli- ation of consumer surplus, discussed at the ances including water heaters, irons, and grinders. beginning of this chapter, was applied). 51
    • T H E W E L F A R E I M PA C T O F R U R A L E L E C T R I F I C AT I O N Box 5.4: Technical Problems Reduce the Benefits from Off-Grid Investments More than 6,000 households were given off-grid connections under more than four years old. Most households have not replaced these the Southern Provinces Rural Electrification Project in Lao PDR, batteries (which cost $20–50), but continue to charge them, get- virtually all of them SHSs. This went beyond the appraisal target ting just 30 minutes to an hour’s electricity a day, which is a great by nearly one-third. reduction in project benefits. However, a survey undertaken in Vientiane Province in 2006 In Thailand, 59 micro hydroelectricity schemes have been im- revealed a number of operational problems. More than 80 percent plemented. Of these, only 25 remain in operation. Most of those that of SHSs were not working properly or were working at a low are now defunct ceased operation when the grid reached the vil- level of service. The large majority of controllers were no longer lage. There are a number reasons for the preference for grid elec- working: 40 percent were simply missing, and most of the re- tricity: (1) the lower cost to villagers, which is heavily subsidized mainder had been bypassed so the panel was connected directly but also does not require community management, which micro to the battery. The resultant power fluctuations shorten battery life hydro does; (2) technical problems with micro hydro, in part aris- (which was only two to three years anyway), as does excess use ing from the last reason; and (3) “a tragedy of the commons” by connecting too many lights or appliances. As a result, nearly whereby households consume “excess electricity” by using rice all batteries were past their useful life, with more than half being cookers and heaters, causing shortages. Source: Greacan 2003. In all cases where projects This statement is supported by looking It might be argued that off-grid investments serve have both grid and off- at Bank projects that contain both grid other environmental or social objectives, but grid components, the ERR and off-grid components (appendix these should be explicitly factored into the analy- is greater for the grid table B.20). In virtually all cases, the sis by the valuation of environmental benefits component. ERR for grid connections is greater and by using social weights (reflecting policy than that for the off-grid component. makers’ preferences) for different groups. An This observation raises a question about the use alternative argument might be that these are of the results of economic analysis. If a project has small programs that enable learning by doing, one component with a high return and another which, together with technological develop- with a low return, the policy implication is that ments, will improve competitiveness. This ar- funds should be diverted to the high-return ac- gument is not, however, found in the project tivity until the rates of return are equalized. documents. 52