Chapter 6: The State of Revenue Generation in Cities - LGRC DILG 10

Chapter 6: The State of Revenue Generation in Cities - LGRC DILG 10 Chapter 6: The State of Revenue Generation in Cities - LGRC DILG 10

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6THE STATE OF REVENUEGENERATION IN CITIESThe passage of LGC of 1991 or RA 7160 has broadened the taxing powers of LGUs.Among the different LGUs in the country, the cities have the most number ofassigned taxes, which include those slapped on real estate, business establishments,and even on delivery vans and trucks. The state of revenue generation among the cities inthe Philippines presents how this level of local government makes the said LGUs copewith the increased responsibilities and powers as mandated under the LGC. The ability ofcities to generate their own resources, in addition to the internal revenue allotment (IRA)from the National Government (NG), will determine the extent of the programs andservices that they could deliver to their respective constituents.The crux of the revenue generation service area of LGPMS is for the cities to collectsufficient income for their respective local development, including the delivery of basicservices to their constituents. The presence of the Comprehensive Revenue GenerationPlan (CRGP) and the efficient Real Property Tax Assessment and Collection (RPTAC)determine the capacities of the cities in accomplishing the said service area. On the otherhand, the percentage of annual revenue realized (ARR), the real property tax (RPT)collection efficiency rate, the percentage of IRA to total income, and the profitability ofpublic enterprises determine the productivity of cities in revenue generation.A DMINISTRATIVE C APACITIESThe presence of CRGP and theefficiency of RPTAC system areused as determinants in measuringthe administrative capacities of citiesin generating sufficient localrevenues for their development anddelivery of services. The existenceof a CRGP provides strategies for acity to achieve high revenuegeneration. The RPT has alwaysbeen a major source of local incomehence, the efficiency of the systemfor assessment and collection willhelp a great deal in generatingenough resources for localdevelopment and service delivery.Figure 6.1 Administrative Capacities of 116 Cities RegardingState of Revenue Generation, PY 20046(5%)4(3%)76(66%)5(4%)25(22%)Very High High Medium Low Very LowSTATE OF CITIES OF THE PHILIPPINES 29Administrative Capacities, Productivity and Development Conditions

6THE STATE OF REVENUEGENERATION IN CITIES<strong>The</strong> passage <strong>of</strong> LGC <strong>of</strong> 1991 or RA 7160 has broadened the tax<strong>in</strong>g powers <strong>of</strong> LGUs.Among the different LGUs <strong>in</strong> the country, the cities have the most number <strong>of</strong>assigned taxes, which <strong>in</strong>clude those slapped on real estate, bus<strong>in</strong>ess establishments,and even on delivery vans and trucks. <strong>The</strong> state <strong>of</strong> revenue generation among the cities <strong>in</strong>the Philipp<strong>in</strong>es presents how this level <strong>of</strong> local government makes the said LGUs copewith the <strong>in</strong>creased responsibilities and powers as mandated under the LGC. <strong>The</strong> ability <strong>of</strong>cities to generate their own resources, <strong>in</strong> addition to the <strong>in</strong>ternal revenue allotment (IRA)from the National Government (NG), will determ<strong>in</strong>e the extent <strong>of</strong> the programs andservices that they could deliver to their respective constituents.<strong>The</strong> crux <strong>of</strong> the revenue generation service area <strong>of</strong> LGPMS is for the cities to collectsufficient <strong>in</strong>come for their respective local development, <strong>in</strong>clud<strong>in</strong>g the delivery <strong>of</strong> basicservices to their constituents. <strong>The</strong> presence <strong>of</strong> the Comprehensive <strong>Revenue</strong> <strong>Generation</strong>Plan (CRGP) and the efficient Real Property Tax Assessment and Collection (RPTAC)determ<strong>in</strong>e the capacities <strong>of</strong> the cities <strong>in</strong> accomplish<strong>in</strong>g the said service area. On the otherhand, the percentage <strong>of</strong> annual revenue realized (ARR), the real property tax (RPT)collection efficiency rate, the percentage <strong>of</strong> IRA to total <strong>in</strong>come, and the pr<strong>of</strong>itability <strong>of</strong>public enterprises determ<strong>in</strong>e the productivity <strong>of</strong> cities <strong>in</strong> revenue generation.A DMINISTRATIVE C APACITIES<strong>The</strong> presence <strong>of</strong> CRGP and theefficiency <strong>of</strong> RPTAC system areused as determ<strong>in</strong>ants <strong>in</strong> measur<strong>in</strong>gthe adm<strong>in</strong>istrative capacities <strong>of</strong> cities<strong>in</strong> generat<strong>in</strong>g sufficient localrevenues for their development anddelivery <strong>of</strong> services. <strong>The</strong> existence<strong>of</strong> a CRGP provides strategies for acity to achieve high revenuegeneration. <strong>The</strong> RPT has alwaysbeen a major source <strong>of</strong> local <strong>in</strong>comehence, the efficiency <strong>of</strong> the systemfor assessment and collection willhelp a great deal <strong>in</strong> generat<strong>in</strong>genough resources for localdevelopment and service delivery.Figure 6.1 Adm<strong>in</strong>istrative Capacities <strong>of</strong> 116 <strong>Cities</strong> Regard<strong>in</strong>g<strong>State</strong> <strong>of</strong> <strong>Revenue</strong> <strong>Generation</strong>, PY 20046(5%)4(3%)76(66%)5(4%)25(22%)Very High High Medium Low Very LowSTATE OF CITIES OF THE PHILIPPINES 29Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


In 2004, it appears that the cities <strong>in</strong> the Philipp<strong>in</strong>es were highly capacitated <strong>in</strong> revenuegeneration consider<strong>in</strong>g that 76 out <strong>of</strong> the 116 cities atta<strong>in</strong>ed high level capacities, whileanother 25 achieved even higher.Comprehensive <strong>Revenue</strong> <strong>Generation</strong>Plans. In 2004, there were 1<strong>10</strong> citieswith respective CRGPs (see Figure6.2). Of those with CGRPs, 98 <strong>of</strong>them or 89% had plans that can beconsidered with very high quality.This means that, most if not all, theelements were present <strong>in</strong> theirCRGPs. <strong>The</strong>re were only few citieswhere<strong>in</strong> some sub-<strong>in</strong>dicators wereabsent.Figure 6.2 Performance Levels <strong>of</strong> 1<strong>10</strong> <strong>Cities</strong> Regard<strong>in</strong>g thePresence <strong>of</strong> Comprehensive <strong>Revenue</strong> <strong>Generation</strong> Plans, PY 200421(2%)(1%)<strong>The</strong> cities showed performancelevels rang<strong>in</strong>g from high to veryhigh with a national average <strong>of</strong> 4.80for all the 1<strong>10</strong> cities across thecountry (see Figure 6.3). <strong>The</strong> citiesVery High High Medium Low Very Low<strong>in</strong> the MLUB and CP had performance levels, that ranged from 4.73 to 4.79, thoughlower than the national average, were still with<strong>in</strong> the high capacity levels. <strong>The</strong> cities <strong>in</strong>the MSR showed an average performance level <strong>of</strong> 4.87, which was slightly higher thanthe national average, and was the highest among the super regions.7(6%)2(2%)98(89%)Figure 6.3 Average Performance Levels <strong>of</strong> the Super Regions Regard<strong>in</strong>g the Presence <strong>of</strong> Comprehensive<strong>Revenue</strong> <strong>Generation</strong> Plans <strong>in</strong> 1<strong>10</strong> <strong>Cities</strong>, PY 2004Average Performance Levels5432<strong>10</strong>4.73 4.794.80 4.76NationalAv erageNorthernLuzonAgribus<strong>in</strong>essQuadrangleMetro LuzonUrbanBeltw ayCentralPhilipp<strong>in</strong>es4.87M<strong>in</strong>danaoSuper RegionSuper Regions<strong>The</strong>re are performance elements that must be present <strong>in</strong> a CRGP to make it more than just30 THE STATE OF REVENUE GENERATION IN CITIES


a mere document. <strong>The</strong> presence <strong>of</strong> all the elements <strong>in</strong>dicates a very high capacity level.On the contrary, the existence <strong>of</strong> only one element implies a very low capacity level.Evidently, <strong>10</strong>1 <strong>of</strong> the 1<strong>10</strong> cities had their respective CRGPs satisfied all the performanceelements (see Figure 6.4).All the 1<strong>10</strong> cities across thecountry identified all theirpotential sources <strong>of</strong>revenues <strong>in</strong> their respectiveCRGPs. One city, however,did not <strong>in</strong>clude <strong>in</strong> its CRGPthe estimated or projectedamount that it would begenerat<strong>in</strong>g. Hav<strong>in</strong>g a targetamount for revenuegeneration is crucial whenit comes to the allocation <strong>of</strong>such potential <strong>in</strong>come to thecompet<strong>in</strong>g expenditures <strong>of</strong>a city.Figure 6.4 Performance Elements Present <strong>in</strong> a Comprehensive <strong>Revenue</strong><strong>Generation</strong> Plan Met by 1<strong>10</strong> <strong>Cities</strong>, PY 2004Number <strong>of</strong> <strong>Cities</strong>1<strong>10</strong><strong>10</strong>8<strong>10</strong>6<strong>10</strong>4<strong>10</strong>2<strong>10</strong>09896A total <strong>of</strong> <strong>10</strong>7 cities hadIdentifies the city <strong>of</strong>ficials and/or department personnel responsibletheir list<strong>in</strong>gs <strong>of</strong> strategies orSets the policy directions <strong>in</strong> local rev enue adm<strong>in</strong>istrationprograms to undertake <strong>in</strong>Serv es as basis <strong>in</strong> updat<strong>in</strong>g the Rev enue Codeorder to yield the estimatedamount <strong>of</strong> revenues to becollected based on their respective CRGPs. Six cities, however, did not identify the local<strong>of</strong>ficials or personnel responsible for such strategies. Noticeably, n<strong>in</strong>e cities were notmak<strong>in</strong>g use <strong>of</strong> their respective CRGPs for purposes <strong>of</strong> sett<strong>in</strong>g fiscal policy directions.Also, the same number <strong>of</strong> cities were not mak<strong>in</strong>g their CRGPs as bases <strong>in</strong> updat<strong>in</strong>g theirrespective Local <strong>Revenue</strong> Codes (LRCs).1<strong>10</strong><strong>10</strong>9<strong>10</strong>7<strong>10</strong>41Performance ElementsIdentifies all potential sources <strong>of</strong> rev enues <strong>of</strong> the city<strong>10</strong>1 <strong>10</strong>1Includes the amount <strong>of</strong> rev enues projected or estimatedLists all the strategies or programsSystem for Real Property Tax Assessment and Collection. <strong>The</strong> efficiency <strong>of</strong> the systemregard<strong>in</strong>g RPTAC <strong>in</strong> the cities is crucial. This was because RPT comprise the majority <strong>of</strong>the local <strong>in</strong>come, not just <strong>of</strong> cities, but <strong>of</strong> prov<strong>in</strong>ces and municipalities as well. <strong>The</strong>LGPMS identified the follow<strong>in</strong>g elements as determ<strong>in</strong>ants <strong>of</strong> an efficient system <strong>of</strong>RPTAC: Uses an updated LRC as a guide, which should not be more than three years old; Utilizes the latest RPT maps for property identification; Employs an <strong>in</strong>dex<strong>in</strong>g system that facilitates, at the very least time possible, access torecords <strong>of</strong> real property owners per barangay accord<strong>in</strong>g to name, location, status <strong>of</strong>property, and other relevant <strong>in</strong>formation; Provides on-l<strong>in</strong>e computer-based <strong>in</strong>formation to taxpayers; Operates <strong>in</strong> a network that is <strong>in</strong>terl<strong>in</strong>ked with the computers <strong>in</strong> the <strong>of</strong>fices <strong>of</strong> the cityassessor and the treasurer;STATE OF CITIES OF THE PHILIPPINES 31Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


Involves the participation <strong>of</strong> local <strong>of</strong>ficials and other key sectors <strong>in</strong> the <strong>in</strong>formationdissem<strong>in</strong>ation to ensure that the people are properly consulted prior to the imposition<strong>of</strong> the RPT, and that they are updated with the schedule <strong>of</strong> market values used for theassessment <strong>of</strong> their properties; Offers an <strong>in</strong>centive program for local <strong>of</strong>ficials or personnel <strong>in</strong>volved, and for thetaxpayers (e.g. giv<strong>in</strong>g <strong>of</strong> cash and other forms <strong>of</strong> rewards and publication <strong>of</strong> names)to promote efficiency <strong>of</strong> RPTAC; Enforces revenue collection program both for current taxes and del<strong>in</strong>quencies; and Imposes penalties or sanctions to del<strong>in</strong>quent taxpayers.<strong>The</strong> presence <strong>of</strong> at least eight <strong>of</strong>the abovementioned elements <strong>of</strong>an efficient system <strong>of</strong> RPTACsignifies a very high capacitylevel, while the absence <strong>of</strong> suchmeans a very low capacity level.<strong>The</strong> system <strong>of</strong> RPTAC <strong>in</strong> thecities can be generally consideredas highly efficient. In 2004, total<strong>of</strong> 25 cities had very high capacitylevels while 51 cities had highcapacity levels for RPTAC. <strong>The</strong>rewere, however, 37 cities where<strong>in</strong>their performances were justwith<strong>in</strong> the benchmark level <strong>of</strong>LGPMS (see Figure 6.5).Figure 6.5 Performance Levels <strong>of</strong> 116 <strong>Cities</strong> Regard<strong>in</strong>g RealProperty Tax Assessment and Collection Efficiency, PY 200437(32%)3(3%)51(43%)25(22%)Very High High Medium Low Very Low<strong>The</strong> national average performance level for the efficiency <strong>of</strong> the RPTAC system was 3.89(see Figure 6.6). <strong>The</strong>re seems to be more rooms for improvement for the system to makeit much efficient <strong>in</strong> many cities <strong>in</strong> the country. <strong>The</strong> efficiency rat<strong>in</strong>gs <strong>of</strong> the cities <strong>in</strong> thesuper regions were almost the same, except those located <strong>in</strong> the NLAQ. Notably, thecities <strong>in</strong> the NLAQ performed comparatively higher than those <strong>in</strong> the other super regions.Moreover, they had high capacity levels compared with their counterparts <strong>in</strong> the othersuper regions, with average performance levels <strong>of</strong> fall<strong>in</strong>g with<strong>in</strong> the benchmark l<strong>in</strong>e.32 THE STATE OF REVENUE GENERATION IN CITIES


Figure 6.6 Average Performance Levels <strong>of</strong> the Super Regions Regard<strong>in</strong>g the Real Property TaxAssessment and Collection Efficiency, PY 2004Average PerformanceLevels5432<strong>10</strong>4.123.89 3.82 3.82 3.83NationalAv erageNorthernLuzonAgribus<strong>in</strong>essQuadrangleMetro LuzonUrbanBeltw aySuper RegionsCentralM<strong>in</strong>danaoPhilipp<strong>in</strong>es Super RegionMost cities, that is, <strong>10</strong>2 or 87.93% <strong>of</strong> the 116, used updated RPT maps for propertyidentification (see Figure 6.7). About 94% or <strong>10</strong>9 <strong>of</strong> the 116 cities had <strong>in</strong>dex<strong>in</strong>g systemsthat facilitated the access torecords <strong>of</strong> real propertyowners per barangayaccord<strong>in</strong>g to name, location,status <strong>of</strong> property, and otherrelevant <strong>in</strong>formation at thevery least time possible. Atotal <strong>of</strong> <strong>10</strong>4 cities or about90% had participativeprocesses that allow local<strong>of</strong>ficials and other key sectorsto take part <strong>in</strong> <strong>in</strong>formationdissem<strong>in</strong>ation to ensure thatthe people are properlyconsulted prior to theimposition <strong>of</strong> RPT, and thatthe taxpayers should beupdated with the schedule <strong>of</strong>market values used for theassessment. <strong>The</strong>re were 113cities that enforced revenuecollection programs for bothcurrent taxes anddel<strong>in</strong>quencies, while <strong>10</strong>8 citieshad mechanisms <strong>in</strong> impos<strong>in</strong>gpenalties or sanctions todel<strong>in</strong>quent taxpayers.Figure 6.7 Performance Elements Present <strong>in</strong> an Efficient System <strong>of</strong> RealProperty Tax Assessment and Collection Met by 116 <strong>Cities</strong>, PY 2004Number <strong>of</strong> <strong>Cities</strong>120<strong>10</strong>080604020077<strong>10</strong>2 <strong>10</strong>9 58Updated Local Rev enue CodeUpdated real property tax mapsIndex <strong>in</strong>g sy stem71<strong>10</strong>4751 Performance ElementsOn-l<strong>in</strong>e computer-based <strong>in</strong>formation to tax pay ersNetw ork <strong>in</strong>terl<strong>in</strong>ked w ith computersParticipation <strong>of</strong> city <strong>of</strong>ficials and other key sectorsIncentiv e program113 <strong>10</strong>8Rev enue collection program both for current tax es and del<strong>in</strong>quenciesMechanism to impose penalties or sanctions to del<strong>in</strong>quent tax pay ersSTATE OF CITIES OF THE PHILIPPINES 33Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


Look<strong>in</strong>g at the elements enumerated above, it was obvious that there were cities thatrelatively failed <strong>in</strong> mak<strong>in</strong>g their RPTAC systems highly efficient. A clear manifestationwas the absence <strong>of</strong> onl<strong>in</strong>e computer-based <strong>in</strong>formation to taxpayers <strong>in</strong> half <strong>of</strong> the totalcities. That is, only 58 cities or 50% had computer-based <strong>in</strong>formation systems. <strong>The</strong>number <strong>of</strong> cities that operated <strong>in</strong> a network <strong>in</strong>terl<strong>in</strong>ked with computers <strong>in</strong> the <strong>of</strong>fices <strong>of</strong>the assessor and the treasurer also showed that there were needs for improvement. Onlyabout 61% or 71 cities operated <strong>in</strong> such computer-based network environment. Anotherreveal<strong>in</strong>g fact was that only 77 cities or 66% were guided by an updated LRC <strong>in</strong> theirRPTAC. <strong>The</strong> absence <strong>of</strong> the abovementioned important <strong>in</strong>puts def<strong>in</strong>itely affected theefficiency <strong>of</strong> the respective RPTAC systems <strong>of</strong> the cities <strong>in</strong> the Philipp<strong>in</strong>es.P RODUCTIVITYIn order to determ<strong>in</strong>e the productivity <strong>of</strong> the cities regard<strong>in</strong>g revenue generation, thefollow<strong>in</strong>g LGPMS output <strong>in</strong>dicators were used: Percentage <strong>of</strong> ARR, RPT collection efficiency rate, Percentage <strong>of</strong> IRA to totalannual <strong>in</strong>come, and Public enterprise pr<strong>of</strong>itabilityrate.Generally, the cities hadperformed well <strong>in</strong> terms <strong>of</strong>output <strong>in</strong>dicators. A little morethan half <strong>of</strong> the cities had highproductivity levels while about37% <strong>of</strong> them were with<strong>in</strong> thebenchmark productivity level(see Figure 6.8). It wasnoticeable, however, that 13% <strong>of</strong>the cities fell below thebenchmark performance level.Figure 6.8 Performance Levels <strong>of</strong> 115 <strong>Cities</strong> Regard<strong>in</strong>g <strong>State</strong> <strong>of</strong><strong>Revenue</strong> <strong>Generation</strong>, PY 200443(37%)11(<strong>10</strong>%)3(3%)Very High High Medium Low Very Low58(50%)Annual <strong>Revenue</strong> Realized. <strong>The</strong> rates <strong>of</strong> atta<strong>in</strong>ment <strong>of</strong> the revenue targets <strong>of</strong> the citiesdeterm<strong>in</strong>e not just their efficiencies <strong>in</strong> realiz<strong>in</strong>g their <strong>in</strong>comes but also their capabilities tocome up with feasible targets. To determ<strong>in</strong>e the productivity levels <strong>of</strong> the cities, thefollow<strong>in</strong>g scheme for target accomplishment was used: 81% and above target accomplishment rate - very high 61% to 80% - high 41% to 60% - medium/ benchmark 21% to 40% - low 20% and below – very low34 THE STATE OF REVENUE GENERATION IN CITIES


Us<strong>in</strong>g the LGPMS performancelevel scheme above, the citiesgenerally had very highproductivity levels <strong>in</strong> terms <strong>of</strong>realiz<strong>in</strong>g their annual revenues.About 81% or 93 cities showedvery high productivity levels(see Figure 6.9). <strong>The</strong>re were,however, eight cities or 7% thathad very low productivity levels.Figure 6.9 Performance Levels <strong>of</strong> 114 <strong>Cities</strong> Regard<strong>in</strong>g Percentages<strong>of</strong> Annual <strong>Revenue</strong>s Realized, PY 200412(11%)Except for those <strong>in</strong> the MSR, thecities <strong>in</strong> the other super regionshad average numericalperformance levels higher than4.00. <strong>The</strong> cities <strong>in</strong> the NLAQVery High High Medium Low Very Lowand CP had average performance levels slightly higher than the national average <strong>of</strong> 4.73while those <strong>in</strong> the MLUB registered 4.57. <strong>The</strong> performance <strong>of</strong> the cities <strong>in</strong> the MSR wasthe lowest with a numerical level <strong>of</strong> only 3.95, but still above the benchmark performancelevel (see Figure 6.<strong>10</strong>).1(1%)8(7%)93(81%)Figure 6.<strong>10</strong> Performance Levels <strong>of</strong> the Super Regions Regard<strong>in</strong>g the Percentages <strong>of</strong> Annual <strong>Revenue</strong>sRealized, PY 2004Average Performance Levels5432<strong>10</strong>4.73NationalAv erage4.774.57Northern Metro LuzonLuzon UrbanAgribus<strong>in</strong>ess Beltw ayQuadrangle4.90CentralPhilipp<strong>in</strong>es3.95M<strong>in</strong>danaoSuper RegionSuper Regions<strong>The</strong> same pattern was observed concern<strong>in</strong>g the performances <strong>of</strong> cities <strong>in</strong> terms <strong>of</strong>percentage <strong>of</strong> ARR. Only the cities <strong>in</strong> the NLAQ and CP exceeded the 94.55% nationalaverage with 97.43% and <strong>10</strong>1.08%, respectively (see Figure 6.11). <strong>The</strong> cities <strong>in</strong> theMLUB performed way below the national average, with only 86.03% <strong>of</strong> annual revenuebe<strong>in</strong>g realized <strong>in</strong> 2004. Meanwhile, the cities <strong>in</strong> the MSR had the lowest percentages <strong>of</strong>realized revenue, hav<strong>in</strong>g an average <strong>of</strong> 79.28%, which was about 14% lower than thenational average.STATE OF CITIES OF THE PHILIPPINES 35Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


Figure 6.11 Target Accomplishment Rates <strong>of</strong> the Super Regions Regard<strong>in</strong>g Percentages <strong>of</strong> Annual<strong>Revenue</strong>s Realized, PY 2004Average Accomplishment Rates<strong>10</strong>090807094.55NationalAv erage97.43NorthernLuzonAgribus<strong>in</strong>essQuadrangle86.03Metro LuzonUrbanBeltw ay<strong>10</strong>1.0879.28CentralPhilipp<strong>in</strong>esM<strong>in</strong>danaoSuper RegionSuper RegionsIn sum, most <strong>of</strong> the cities <strong>in</strong> the MLUB and MSR had relatively <strong>in</strong>ferior performancescompared to those <strong>in</strong> the NLAQ and CP <strong>in</strong> terms <strong>of</strong> realiz<strong>in</strong>g annual revenues. Suchglar<strong>in</strong>g difference is call<strong>in</strong>g for further improvements on the cities located <strong>in</strong> the MLUBand MSR.Real Property Tax CollectionEfficiency Rate. Under the LGC, onlythe cities and prov<strong>in</strong>ces are allowed tolevy real property taxes, which theythen share with other LGUs.Traditionally, RPTs are the largestsources <strong>of</strong> revenues <strong>of</strong> the cities asidefrom the IRA they receive from NG.<strong>The</strong> performances <strong>of</strong> the citiesconcern<strong>in</strong>g their RPT collections affectthe levels <strong>of</strong> their <strong>in</strong>dependence fromNG - both imag<strong>in</strong>ary and real – <strong>in</strong>terms <strong>of</strong> their own revenue generation.Figure 6.12 Performance Levels <strong>of</strong> <strong>10</strong>9 <strong>Cities</strong> Regard<strong>in</strong>gReal Property Tax Collection Efficiency Rates, PY 200437(3%)(6%)3(3%)3(3%)93(85%)Very High High Medium Low Very LowMost cities had very high efficiencyrates <strong>in</strong> their RPT collections where<strong>in</strong>about 85% or 93 cities had efficiencyrates <strong>of</strong> at least 81% (see Figure 6.12). Seven or 6% <strong>of</strong> the cities were still considerablyefficient with average rates <strong>of</strong> 61% to 80%. Meanwhile, n<strong>in</strong>e cities or about 9% still hadto further improve their efficiency rates to catch up with the rest.<strong>The</strong> national average for RPT collection efficiency rate was higher than the ideal <strong>10</strong>0%,hav<strong>in</strong>g posted an average <strong>of</strong> <strong>10</strong>3.13% with the cities located <strong>in</strong> the NLAQ reached thehighest at 129.49% compared with those <strong>in</strong> the other super regions (see Figure 6.13). <strong>The</strong>36 THE STATE OF REVENUE GENERATION IN CITIES


cities <strong>in</strong> the MLUB, CP, and MSR registered relatively lower average efficiency rates <strong>of</strong>about 95%. Nevertheless, such rates were still considered as highly efficient ones. Anostensible caveat would be some cities might have very low RPT collection targets vis-àvisactual collectibles, and that arrears <strong>in</strong> RPT collections would still be <strong>in</strong>cluded <strong>in</strong> thecomputation.Figure 6.13 Average Real Property Tax Collection Efficiency Rates <strong>of</strong> the Super Regions, PY 2004ates<strong>10</strong>0<strong>10</strong>3.13129.49Average Efficiency R908070NationalAv erage92.58Northern Metro LuzonLuzon UrbanAgribus<strong>in</strong>ess Beltw ayQuadrangle96.79 95.75Central M<strong>in</strong>danaoPhilipp<strong>in</strong>es Super RegionSuper RegionsBased on their average performance levels, the cities were considered highly productive,which <strong>in</strong>dicated efficient RPT collections. <strong>The</strong> national average performance levelregard<strong>in</strong>g RPT collection efficiency was 4.53 (see Figure 6.14). Notable were the citieslocated <strong>in</strong> the NLAQ, which had a performance level that surpassed the national average.<strong>The</strong> performance <strong>of</strong> the cities <strong>in</strong> the other super regions, although lower than the nationalaverage, were still with<strong>in</strong> the national average range, and were considered highly efficient<strong>in</strong> their RPT collections.Figure 6.14 Performance Levels <strong>of</strong> the Super Regions Regard<strong>in</strong>g Real Property Tax CollectionEfficiency Rates, PY 2004Average Performance Levels5432<strong>10</strong>NationalAv erage4.534.754.46 4.34 4.53Northern Metro Luzon Central M<strong>in</strong>danaoLuzon Urban Philipp<strong>in</strong>es Super RegionAgribus<strong>in</strong>ess Beltw ayQuadrangleSuper RegionsSTATE OF CITIES OF THE PHILIPPINES 37Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


Percentage <strong>of</strong> the Internal <strong>Revenue</strong> Allotment to Total Annual Income. Dependency onNG can be observed from among the various levels <strong>of</strong> LGUs especially <strong>in</strong> terms <strong>of</strong> theIRA shares <strong>in</strong> their annual revenues. It appears that most LGUs have become dependentfrom NG for their source <strong>of</strong> <strong>in</strong>come. Even cities tend to be reliant from NG when itcomes to their <strong>in</strong>comes. About 68% <strong>of</strong> the cities had low productivity levels <strong>in</strong> terms <strong>of</strong>percentage <strong>of</strong> IRA to their respective total annual <strong>in</strong>come (see Figure 6.15). Such can betranslated to 38 and 40 cities hav<strong>in</strong>g low and very low productivity levels, respectively.Only 15% <strong>of</strong> cities were able to atta<strong>in</strong> productivity levels higher than the benchmark.On the average, about 70% <strong>of</strong> thetotal annual <strong>in</strong>come <strong>of</strong> cities camefrom IRA while the rest was derivedfrom other sources (see Figure 6.16).This was a manifestation <strong>of</strong> theimportance <strong>of</strong> the IRA <strong>in</strong> theoperations <strong>of</strong> city governments. <strong>The</strong>delay <strong>in</strong> the release <strong>of</strong> the IRAresults is a substantial setback to thedelivery <strong>of</strong> basic social services andto the development <strong>of</strong> the cities <strong>in</strong>general.<strong>Cities</strong> <strong>in</strong> the MSR were moredependent on NG because 79.54%<strong>of</strong> their total annual <strong>in</strong>come for 2004was IRA (see Figure 6.17). On theother hand, cities <strong>in</strong> the NLAQ,MLUB, and CP had 62% to 71% <strong>of</strong>their total annual <strong>in</strong>comes derivedfrom IRA. <strong>Cities</strong> <strong>in</strong> the MLUB seemhad less dependency on NGconsider<strong>in</strong>g their IRA at 62.20% only.<strong>The</strong> performances <strong>of</strong> the cities had toreach the desirable level because <strong>of</strong>their low productivity level. <strong>The</strong>national average performance level <strong>in</strong>2004 was only 2.06, which wasconsiderably lower than thebenchmark 3.00 (see Figure 6.18).<strong>The</strong> cities <strong>in</strong> the NLAQ performedthe best with an average <strong>of</strong> 2.45.Figure 6.15 Performance Levels <strong>of</strong> 115 <strong>Cities</strong> Regard<strong>in</strong>gPercentages <strong>of</strong> Internal <strong>Revenue</strong> Allotments to Total AnnualIncome, PY 200440(35%)5(4%)38(33%)13(11%)Very High High Medium Low Very Low19(17%)Figure 6.16 Average Percentage Distribution <strong>of</strong> TotalAnnual Income By Source, PY 200430%IRAOther Income70%38 THE STATE OF REVENUE GENERATION IN CITIES


Figure 6.17 Percentages <strong>of</strong> Internal <strong>Revenue</strong> Allotments to Total Annual Income <strong>of</strong> 115 <strong>Cities</strong> <strong>in</strong> theSuper Regions, PY 2004908079.54Percent7070.1170.316063.7262.2050NationalAv erageNorthernLuzonAgribus<strong>in</strong>essQuadrangleMetro LuzonUrbanBeltw ayCentralPhilipp<strong>in</strong>esM<strong>in</strong>danaoSuper RegionSuper RegionsMeanwhile, the cities <strong>in</strong> the MLUB came close second with 2.31. <strong>The</strong> cities <strong>in</strong> the MSR,on the other hand, had very low productivity, hav<strong>in</strong>g an average numerical performancelevel <strong>of</strong> only 1.63.Figure 6.18 Average Performance Levels <strong>of</strong> 115 <strong>Cities</strong> <strong>in</strong> the Super Regions Regard<strong>in</strong>g the Percentages <strong>of</strong>Internal <strong>Revenue</strong> Allotments to Total Annual Income, PY 20045Average Performance Levels432<strong>10</strong>NationalAv erage2.452.062.312.031.63Northern Metro Luzon Central M<strong>in</strong>danaoLuzon Urban Philipp<strong>in</strong>es Super RegionAgribus<strong>in</strong>ess Beltw ayQuadrangleSuper RegionsIn sum, the cities have yet to free themselves from be<strong>in</strong>g dependent on NG consider<strong>in</strong>gthat a significant slice <strong>of</strong> their total <strong>in</strong>come still dom<strong>in</strong>ated by IRA. <strong>The</strong> factor <strong>of</strong> highpopulation <strong>in</strong> the urban areas may be put forward by some as the reason beh<strong>in</strong>d the highIRA share <strong>of</strong> the cities. This, however, does not expla<strong>in</strong> <strong>in</strong> absolute terms thesignificantly high share <strong>of</strong> IRA to the total <strong>in</strong>come <strong>of</strong> cities vis-à-vis the opportunities andpowers that the LGC has provided them <strong>in</strong> terms <strong>of</strong> generat<strong>in</strong>g locally sourced revenues.STATE OF CITIES OF THE PHILIPPINES 39Adm<strong>in</strong>istrative Capacities, Productivity and Development Conditions


Public Enterprise AnnualPr<strong>of</strong>itability Rate. Among the<strong>in</strong>novations <strong>in</strong>troduced recently isthe <strong>in</strong>volvement <strong>of</strong> LGUs <strong>in</strong> publicenterprises. This has promisedadditional <strong>in</strong>come for the LGUs anda guaranteed less dependence fromNG.Figure 6.19 Performance Levels <strong>of</strong> 1<strong>10</strong> <strong>Cities</strong> Regard<strong>in</strong>g PublicEnterprise Annual Pr<strong>of</strong>itability Rates, PY 200420(18%)348(3%)(44%)<strong>The</strong> LGPMS has the follow<strong>in</strong>gperformance level scheme <strong>in</strong>determ<strong>in</strong><strong>in</strong>g the productivity <strong>of</strong>cities regard<strong>in</strong>g the annualpr<strong>of</strong>itability rates <strong>of</strong> the publicenterprises operated and managed bythe cities: Above 20% pr<strong>of</strong>itability rate - very high 11% to 20% - high -<strong>10</strong>% to <strong>10</strong>% - medium/ benchmark -20% to -11% - low Below -20% - very low30(27%)9(8%)Very High High Medium Low Very LowIn 2004, only 48 cities or 44% had very high pr<strong>of</strong>itability rates (See Figure 6.19).Twenty cities or 18% <strong>of</strong> the total, on the other hand, had very low pr<strong>of</strong>itability rates.Furthermore, a total <strong>of</strong> 30 cities or 27% were with<strong>in</strong> the benchmark performance level forpr<strong>of</strong>itability <strong>of</strong> public enterprises.Figure 6.20 Performance Levels <strong>of</strong> the Super Regions Regard<strong>in</strong>g Public Enterprise Annual Pr<strong>of</strong>itability Rates,PY 20045Average Performance Levels43213.844.344.08 4.083.2<strong>10</strong>NationalAv erageNorthern Luzon Metro LuzonAgribus<strong>in</strong>ess Urban Beltw ayQuadrangleCentralPhilipp<strong>in</strong>esM<strong>in</strong>danao SuperRegionSuper Regions40 THE STATE OF REVENUE GENERATION IN CITIES

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