Electronic Comment Filing System

ECFS Filing Proceeding: 05-337
Name of Filer: Penasco Valley Telephone Cooperative, Inc.
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Type of Filing: COMMENT
Exparte Presentation: NO
Date Received: 1/18/12
Date Posted: 1/19/12 12:17 PM
Address: 4011 West Main Artesia, NM 88210

i Before the FEDERAL COMMUNICATIONS COMMISSION Washington, DC 20554 In the Matter of Connect America Fund A National Broadband Plan for Our Future Establishing Just and Reasonable Rates for Local Exchange Carriers High-Cost Universal Service Support Developing an Unified Intercarrier Compensation Regime Federal-State Joint Board on Universal Service Lifeline and Link-Up Universal Service Reform – Mobility Fund ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) WC Docket No. 10-90 GN Docket No. 09-51 WC Docket No. 07-135 WC Docket No. 05-337 CC Docket No. 01-92 CC Docket No. 96-45 WC Docket No. 03-109 WT Docket No. 10-208 COMMENTS of PEÑASCO VALLEY TELEPHONE COOPERATIVE, INC. ii TABLE OF CONTENTS INTRODUCTION AND SUMMARY ..................................................................................... iii I. ANALYSIS PERFORMED BY PEÑASCO VALLEY TELEPHONE COOPERATIVE, INC. ..................................................................................................1 II. THE FCC’S REGRESSION ANALYSIS UTILIZES INCORRECT DATA ...........2 III. THE MODEL DOES NOT YIELD CONSISTENT RESULTS FOR SIMILARLY SITUATED COMPANIES.....................................................................3 IV. THE REGRESSION MODEL IS OVERLY COMPLEX AND UNPREDICTABLE THUS DISCOURAGING FUTURE INVESTMENT ..............6 V. THE FCC’S REGRESSION ANALYSIS DOES NOT CONSIDER THE IMPACTS OF DEPRECIATION RESERVE .............................................................7 VI. THE LIMITATIONS ARE APPLIED INCORRECTLY TO THE HIGH COST LOOP SUPPORT ALGORITHM .....................................................................7 VII. THE LIMITATIONS ARE MISSING CRITICAL COMPONENTS .......................9 VIII. THE FCC’S REGRESSION ANALYSIS DOES NOT APPROPRIATELY CALCULATE LIMITATIONS ON DEPRECIATION EXPENSE ........................11 IX. CONCLUSIONS ...........................................................................................................12 iii Introduction and Summary The Federal Communications Commission’s (Commission or FCC) Report and Order and FNPRM1 in the above captioned proceeding requests comment on proposed changes to the existing Universal Service Fund (USF) and Intercarrier Compensation (ICC) mechanisms for rural rate-of-return carriers, among other issues. Specifically, the FCC requests comments on Sections XVII.A-K of the FNPRM, which address a wide variety of USF related issues. Peñasco Valley Telephone Cooperative, Inc. 2 (PVT) submits these comments for the FCC’s consideration. PVT is a rural telecommunications provider serving 2,823 voice access lines and 1,223 broadband customers in the State of New Mexico. The following characteristics are true of PVT:  PVT is the Carrier of Last Resort designated by the New Mexico Public Regulation Commission, which legally obligates the company to provide telecommunications service to all requesting customers within its service territory.                                                              1 In the Matter of Connect America Fund, WC Docket No. 10-90, A National Broadband Plan for Our Future, GN Docket No. 09-51, Establishing Just and Reasonable Rates for Local Exchange Carriers, WC Docket No. 07-135, High-Cost Universal Service Support, WC Docket No. 05-337, Developing an Unified Intercarrier Compensation Regime, CC Docket No. 01-92, Federal-State Joint Board on Universal Service, CC Docket No. 96-45, Lifeline and Link-Up, WC Docket No. 03-109, Universal Service Reform – Mobility Fund, WT Docket No. 10-208, Report and Order and Further Notice of Proposed Rulemaking and Further Notice of Proposed Rulemaking, FCC 11-161 (rel. November 18, 2011) (Report and Order and FNPRM). 2 PVT is located in Southeastern New Mexico with a service territory of 4,651 square miles. The terrain is extremely rocky and mountainous and very little water. This rocky and mountainous terrain makes it extremely expensive to plow/rocksaw cable and fiber in PVT’s territory. With 2,350 customers in the 4,651 square miles of service territory, the density per square mile is only 0.5 customers per square mile. The economic drivers are farming, ranching and petroleum. iv  PVT is the Eligible Telecommunications Carrier (ETC) determined by the New Mexico Public Regulation Commission to provide universal service within the company’s designated service territory.  PVT receives High Cost Support from the Federal Universal Service Fund. This support totaled $5,728,317 in 20103 and comprised over 50.86% of PVT revenues in 2010. Support came from the following sources: o High Cost Loop Support (HCLS) $3,085,887 o Interstate Common Line Support (ICLS) $2,104,134 o Local Switching Support (LSS) $538,296  PVT generates revenues from providing intrastate switched access and reciprocal compensation services. In 2010 intrastate switched access and net reciprocal compensation revenues totaled $219,983.  PVT provides voice and broadband services to schools, libraries, rural health care facilities, governmental agencies, and/or other anchor institutions within its service territory.  PVT is one of the three largest employers in the company’s rural service territory, providing 85 jobs and financial stability in rural areas of Southeastern New Mexico.  PVT has deployed substantial financial and human resources to provide voice and broadband services under the existing rate of return rules prescribed by the FCC and by                                                              3 2010 revenues are used throughout these comments because final 2011 numbers are not yet known. We believe that 2010 revenues are reasonably representative of 2011. v the New Mexico Public Regulation Commission. In 2010, PVT had gross regulated investment of $68,070,083  PVT would not have had the financial resources to deploy and maintain either voice or broadband services without rate of return regulation and the support of the Universal Service Fund under the existing rules.  PVT is very concerned with the potential financial implications of the Report and Order and FNPRM and the impact they will have on PVT’s ability to continue to provide high quality voice and broadband services at the public interest standards established by the Commission. In these comments, PVT outlines the impacts that adoption of the limitations on capital and operating expenses, as proposed in the Report and Order and FNPRM, would have on its financial results. 1 Before the FEDERAL COMMUNICATIONS COMMISSION Washington, DC 20554 In the Matter of Connect America Fund A National Broadband Plan for Our Future Establishing Just and Reasonable Rates for Local Exchange Carriers High-Cost Universal Service Support Developing an Unified Intercarrier Compensation Regime Federal-State Joint Board on Universal Service Lifeline and Link-Up Universal Service Reform – Mobility Fund ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) WC Docket No. 10-90 GN Docket No. 09-51 WC Docket No. 07-135 WC Docket No. 05-337 CC Docket No. 01-92 CC Docket No. 96-45 WC Docket No. 03-109 WT Docket No. 10-208 COMMENTS of PEÑASCO VALLEY TELEPHONE COOPERATIVE, INC. I. Analysis Performed by Peñasco Valley Telephone Cooperative, Inc. In order to provide relevant financial context to the FCC in these comments, PVT engaged Moss Adams LLP4 to perform a detailed financial analysis of the potential impacts of the limitations on capital and operating expenses proposed in the Report and Order and FNPRM. This analysis primarily focused on the impacts of the proposed regression analysis identified in                                                              4 Moss Adams LLP (Moss Adams) is the 11th largest accounting and consulting firm in the United States, with more than 225 partners and 1,800 staff. Moss Adams’ Telecom Group has served the telecommunications industry since 1957. Today, they provide audit, tax, and consulting services to more than 80 small and mid-sized telecommunications carriers throughout the United States and its territories. 2 Appendix H to the Report and Order and FNPRM. This analysis was performed using PVT data used by, and provided by, the FCC in the development of its regression analysis. In doing so, Moss Adams recreated the regression analysis performed by the FCC and reproduced the same results. In addition, Moss Adams also utilized other information generally available from PVT in the analysis. The following comments include our overall assessment of the FCC’s regression analysis and provide a summary overview of the financial impacts on PVT, including the impacts of changes in the analysis proposed by PVT. II. The FCC’s Regression Analysis Utilizes Incorrect Data The census data that the Commission uses as inputs to its model in the Report and Order and FNPRM are subject to a substantial degree of error. In any model, where there are errors or inaccuracies in the inputs, those data flaws will also create errors or inaccuracies in the outputs of the model. The Report and Order and FNPRM relies on significantly flawed data, and therefore produces similarly flawed results. Part of the input error is created by the Commission’s use of the Tele Atlas tool to define study areas. This tool is notably flawed for PVT. While the Commission’s model assumes PVT’s study area encompassing 2,331 square miles, PVT’s actual study area encompasses approximately 4,651 square miles – an extraordinary error by any measure and one that is certain to produce a flawed result. This is extremely significant to PVT. Prior to regression caps, 2010 PVT data at a national average cost per loop of $509.06, yielded estimated High Cost Loop Support (HCLS) of $3,207,529. The proposed regression caps, which included the incorrect square miles above, reduced HCLS to $3,000,821, a reduction of $206,708 or 6.44%. Increasing the square miles in the regression analysis to the correct amount of 4,651 results in HCLS of $3,182,726, a much 3 more palatable reduction of $24,803. Should the Commission continue down this regression path, the data for PVT and all carriers needs to be accurate. PVT serves as an example that the census data which the Commission uses as inputs to its model are subject to a substantial degree of error, and therefore is not appropriately used to cap PVT’s costs. III. The Model Does Not Yield Consistent Results for Similarly Situated Companies In defining similarly situated companies, PVT notes that the FCC’s model used to perform the regression analysis does not take into account the length of loops – a major factor leading to high loop costs. In PVT’s case, it has 1.08 access lines per mile of loop plant. The model also does not take into account unusual terrain conditions such as rock that PVT must cut through with heavy equipment (rocksaw) or directional bore to bury cable plant. PVT noted that these conditions often cause significant delays and cost increases to place cable plant. PVT points out that when comparing PVT to similarly situated companies like those listed in the table below, companies with higher concentrations of loops had significantly higher cable and wire facility (CWF) caps per mile than PVT. Noted elsewhere in these comments, the limitation on PVT’s CWF plant yields significant impacts to the company and limits their ability to upgrade the plant facilities in order to meet the FCC's stated broadband requirements. Using the FCC land area data, PVT’s service area has 1.26 loops per square mile (if the land area in the regression model were corrected to the 4,651 sq. miles, then PVT serves 0.65 loops per square mile). PVT has a ceiling or cap on its cable and wire loop facilities of $13,498 per mile. The table provided compares loops, land area served and the resulting caps under the proposed regression model. The table supports PVT’s position that areas with few subscribers, or loops, per mile necessitate higher values under the regression caps and that caps should be comparable for similarly situated companies. However, the table shows contrary results. 4 The table demonstrates that of the six companies listed, all of them have more loops per mile, (i.e., have a higher population density than PVT), however four out of the five have significantly higher caps per mile. Specifically, Example E with 2.4 loops per mile, which is very similar to the total loops of PVT (2,865 for Example E versus 2,948 for PVT), yields a significantly higher cap. The regression model yields a cap of $20,537 per mile for Example E, $7,039 more per mile than PVT even though Company E has a more densely populated area. PVT points out that utilizing the same $20,537 per mile cap for its area would yield a loop cable and wire facility investment cap of $47,875,323. This is an increase of $16,408,800, or 52.15%, higher than its current cap and much more consistent with PVT’s actual investment in cable and wire facilities. PVT also points out that Example A which has a density very consistent with PVT’s density (1.38 loops per mile for Example A), has a cap that is also lower than the other companies depicted in the table provided with more loops per mile. This is yet another example of the regression analysis not producing consistent results for similarly situated companies.     5 Loops  Land  Area  AL1 ‐ FCC Cap  (Est.)  Cap/Mile  Loops/Mile  Example A                     3,227                       2,344                     29,487,336                 12,581                    1.38   PVT                      2,948                       2,331                     31,466,523                 13,498                    1.26   Example B                     2,947                       170                     16,553,652                 97,289                  17.32   Example C                     2,675                       1,189                     19,188,671                 16,139                    2.25   Example D                     2,973                       139                     15,490,782               111,125                  21.33   Example E                     2,865                      1,194                     24,516,302                 20,537                    2.40   Example E Cap/Mile for PVT =                                        47,875,323  There are several ways to improve the FCC’s regression model. PVT and other carriers can provide the FCC with average loop lengths and other relevant data similar to what they do for the United States Department of Agriculture Rural Development Utilities Program Form 479. Because loop lengths are a major component of loop cost, it is a critical component that must be included in order for the model to work accurately. Terrain data is also not included in the model, other than percentage of water in the study area, which is not a significant driver of loop costs. These peer companies also have a much higher cap/mile related to AL 15 - Network Support Expenses than PVT. Under the current regression model, PVT is allowed $142 per sq. mile for Network Support Expense while Example E is capped at $205 per sq. mile. PVT is much less dense in terms of population, has several exchanges that are very spread out and therefore has a greater need for a higher cap per sq. mile of land area. This is another example that the current FCC regression model does not take into account that companies with a far greater land area to serve will have a need for much higher network cost than companies serving a more dense area. 6 IV. The Regression Model is Overly Complex and Unpredictable Thus Discouraging Future Investment. The fact the model relies on flawed data, combined with the reality it does not generate consistent results for similarly situated companies is troubling and needs to be resolved. Other comments will follow on the application of regression caps, however, PVT feels one of the most critical issues as it relates to us is the fact the model and approach taken is so complex and unpredictable that we cannot adequately plan for the future. PVT recently secured a $28 million loan from the Rural Utilities Service (RUS) and $9.5 million loan/grant from ARRA-BIP to modernize the network and comply with the new FCC broadband requirements. However, as it stands today, PVT has no straight forward means of understanding the results relied upon by the Commission and predicting capped values in the future. Use of the tools that the FCC utilized in developing its regression analysis, such as the Tele Atlas Telecommunications Suite5 and Stata6 software is costly and requires a high level of sophistication to develop and modify inputs, run the models and analyze the results. The Commission’s approach is not one that can be easily predicted or replicated, and as a consequence, we cannot adequately plan for the future. Because cost recovery in this scenario is not predictable, we are seriously considering delaying and potentially not drawing down the loan funds from RUS and AARA-BIP funds to invest in future capital expenditures for fear we will not be able to repay the debt. This outcome is contrary to the Commission’s intent; to deploy 4 Mbps downstream/1 Mbps upstream broadband services to all areas of the country. However, in order to avoid this outcome, and assuming that regression caps will be utilized, underlying data                                                              5 Tele Atlas Telecommunications Suite 2010.6 is the FCC’s source of study area boundaries used in the regression analysis. See Appendix H, paragraph 5 and footnote 10. 6 Stata is the software used by the FCC to run the regression analysis. This is not referenced in the Report and Order and FNPRM, however, we were informed of the need to purchase the Stata software to replicate the analysis performed by the FCC, using the data set provided by the FCC. 7 and calculations must be readily available to carriers like PVT to allow for adequate financial and strategic planning. We believe that a minimum of five years of data should be made available to PVT, so that we can make appropriate financial decisions based on known cost recovery mechanisms. V. The FCC’s Regression Analysis Does Not Consider the Impacts of Depreciation Reserve The FCC’s model used to perform the regression analysis does not take the depreciation reserve of the plant being limited into account; it is purely analyzed on a gross plant value. Companies like PVT deployed the network years ago and, like many, face the need to upgrade facilities as the plant is reaching the end of its useful life. In addition, PVT has and will soon need to make more necessary network changes to meet the Commission’s 4 Mbps downstream/1 Mbps upstream broadband requirements, and this will require significant investment. The regression model, as proposed does not allow for this, and its failure to recognize the impacts of depreciation reserve is another significant flaw in the model. VI. The Limitations Are Applied Incorrectly to the High Cost Loop Support Algorithm PVT believes there are three accounting issues that must be addressed in the calculation and application of the proposed regression-based limitations. First, the High Cost Loop Support (“HCLS”) data inputs (“data lines” or “DL”) should be limited, not the outputs (“algorithm lines” or “AL”). Second, the limitations must take into account the impact of accumulated depreciation and other Part 32 accounts on the calculation of support. Third, the methodology used to calculate the limitations on depreciation expense must be modified. 8 PVT believes that the limitations should be applied to the HCLS data lines instead of the algorithm lines, which would allow the 26 step algorithm to work as designed. The current limitation of the algorithm lines does not account for the interrelationship between many of the data lines used in the calculation of support. It should be noted that all of the algorithm lines are calculations based on various data lines, so any proposed limitations can also be accomplished by adjusting the data lines. As currently proposed, the FCC’s regression model limits outputs, rather than limiting inputs and allowing the inputs to be run through the model. An excellent example of this is AL 3, also referred to as the “A” Factor, which is calculated as Cable and Wire Facilities (CWF) divided by Total CWF. The “A” Factor is used in the allocation of expenses associated with CWF. AL 3 is one of several algorithm steps that uses both AL and DL inputs to produce the result; in this case AL1, DL 255 (Account 2400 - Total CWF) and DL 815 (Account 2680 – Amortizable Tangible Assets – CWF). The FCC’s proposed treatment only limits the AL1 amount, however, neither DL 255 (which includes AL1) nor DL 815 are adjusted. As a result, the algorithm is not allowed to calculate support as it was intended and produces an incorrect result. This is extremely significant to PVT. Prior to regression caps, 2010 PVT data at a national average cost per loop of $509.06, yielded estimated HCLS of $3,207,529. The proposed regression, taking only AL1 – CWF assigned to Cat 1.0 into consideration, caps PVT by $2,817,688, which reduced HCLS to $2,887,726, a reduction of $319,803 or 11.35%. A significant driver in this reduction was the fact that AL3 was erroneously adjusted. AL3, prior to the regression caps, was 79.86%, which dropped to 73.30% after the caps. AL3, referred to as the “A” factor, represents the CWF loop percentage of the carrier. The higher this amount, the more plant and expenses are allocated to a carrier’s study area cost per loop, increasing their support. The FCC’s approach incorrectly impacts this factor and significantly impacts PVT. 9 Again, AL3 is just one example of this inappropriate result and PVT firmly believes that applying caps to the DL lines will resolve this error. While further comments will show that other HCLS inputs, such as accumulated depreciation, need to be taken into consideration while applying the proposed FCC regression caps, the following example shows the specific impact of removing the capped investment for all of the appropriate data lines and allowing the HCLS algorithm to work as intended. Instead of removing $2,817,688 from AL1- CWF assigned to Cat 1.0, AL1 should not be adjusted and the following Data Lines should be reduced instead by this same $2,817,688: DL 160 – Account 2001 – Total Plant in Service DL 255 – Account 2410 – Total CWF DL 700 – Cost Study Average CWF – Total Account 2410 DL 710 – Cost Study Average CWF Cat 1 – Total Subscriber Line Plant Doing so results in adjusted HCLS of $2,926,582, $38,000 higher than the FCC’s AL 1 capped amount. AL3 is a significant driver of this reduction. This inappropriate limitation of AL1 reduces AL3 to 73.30%. If the data lines were capped, AL3 would be a much more appropriate 78.42%. VII. The Limitations Are Missing Critical Components – As mentioned above, accumulated depreciation and other Part 32 accounts must be taken into consideration if the FCC is going to limit the 11 proposed algorithm lines, or follow the approach to limiting the data lines described above. The FCC’s proposed regression analysis does not limit the accumulated depreciation related to PVT CWF assets removed via AL1, nor does it remove amounts from other associated accounts. If the FCC is going to limit AL1, the following data lines should also be limited: 10 DL 160 – Account 2001 – Total Plant in Service DL 190 – Account 3100 – Accumulated Depreciation DL 255 – Account 2410 – Total CWF DL 280 – Account 3124 – CWF Accumulated Depreciation DL 700 – Cost Study Average CWF – Total Account 2410 DL 710 – Cost Study Average CWF Cat 1 – Total Subscriber Line Plant By not limiting these data lines, the FCC’s regression analysis yields flawed and punitive results on PVT. In addition, as discussed above, limiting the algorithm lines and not the data lines does not allow the HCLS algorithm to work as designed. There could be some question as to how to appropriately limit the accumulated depreciation reported on DL 190 and DL 280, but this could be handled one of two ways. First, a ratio of the limited investment in the associated plant account to the total plant account could be developed and applied to the accumulated depreciation. Alternatively, the limited plant could be handled as a retirement, in which case Part 32 for retirement accounting would treat the investment as fully depreciated. Whichever method is selected would be more appropriate than the current approach of ignoring depreciation reserve and other associated accounts in the algorithm. The limitation of algorithm lines rather than data lines yields inappropriate results and ignores the net book value of the assets being removed. This situation is critical to PVT and we continue our example from above to show the impacts on the company. As before, instead of removing PVT’s $2,817,688 from AL1- CWF assigned to Cat 1.0, AL1 should not be adjusted and the following Data Lines reduced instead by this same $2,817,688: 160 – Account 2001 – Total Plant in Service 255 – Account 2410 – Total CWF 11 700 – Cost Study Average CWF – Total Accounts 2410 710 – Cost Study Average CWF Cat 1 – Total Subscriber Line Plant The next step is to reduce CWF accumulated depreciation reported on DL 280 and total company accumulated depreciation reported on DL 190 to reflect the net book value of the assets removed. For purposes of this example, this was done via a ratio. PVT reported $25,270,378 of CWF accumulated depreciation on DL 280 and $42,927,115 of total CWF on DL 255, consequently, PVT’s CWF plant is 58.87% depreciated. Multiplying this 58.87% ratio by the $2,817,688 of CWF limited results in an accumulated depreciation figure of $1,658,719, which is the figure used to reduce DL 190 and DL 280. Doing so results in adjusted HCLS of $3,035,148 for PVT, $147,421 higher than the FCC’s original HCLS limit on PVT. VIII. The FCC’s Regression Analysis Does Not Appropriately Calculate Limitations on Depreciation Expense Depreciation expenses have not been properly accounted for in the FCC’s regression model. Specifically, depreciation expenses should not be analyzed independently via regression, as they are a byproduct of the associated plant investment. Instead, depreciation expenses should be reflected as a function of the asset values removed. The FCC’s current, regression-based approach results in limitations on depreciation expenses on AL 17 that are excessive and inconsistent with Part 32 accounting principles. PVT’s depreciation rates are approved by the New Mexico Public Regulation Commission and are therefore not subject to unilateral adjustment by the company. Finally, we are audited annually by an independent CPA firm that verifies the proper use of the approved depreciation rates, thus there is minimal risk of improper application. Therefore, we recommend that regression not be used to limit depreciation expense. Instead, we believe that depreciation expense limitations should be computed as the percentage of limitation of the associated plant investment multiplied by depreciation expense. While this is 12 not currently impacting PVT, internal projections indicate that with the future investments that are needed in order to reach the 4 Mbps downstream/1 Mbps upstream broadband requirements mandated by the FCC, that the current regression methodology could cap AL 17 substantially while having no correlation to the amount of associated plant investment that is capped. IX. Conclusions PVT believes the FCC’s order is fundamentally flawed in many ways. It takes PVT’s ability to plan for the future away. PVT’s data in the regression analysis model is materially flawed. The order does not take the customer density, terrain (rock and mountains) and loop length into account. The model’s methodology is significantly flawed in general. Based on the FCC’s order as written, PVT would be capped and therefore would be required to stop investing in the network. By not investing in the network, the existing plant will deteriorate and PVT would not be able to meet the mandate of providing 4/1 Mbps for broadband data to all of the customers located in the 4,651 square miles of service territory. January 18, 2012 Respectfully Submitted, /s/ Glenn Lovelace PEÑASCO VALLEY TELEPHONE COOPERATIVE, INC. By: Glenn Lovelace, CEO 4011 West Main Artesia, NM 88210 575.748.1241 Glovelace@pvt.com