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Title: | 探源台灣醫院之總要素生產力變化 —1992到2002 Decomposition of the Total Factor Productivity in Taiwan’s Hospitals, 1992-2002 |
Authors: | 簡聖諺 Chien, Sheng-Yen |
Contributors: | 連賢明 Lien, Hsien-Ming 簡聖諺 Chien, Sheng-Yen |
Keywords: | 生產力分解 總要素生產力 醫院市場 全民健保 醫療品質 Productivity decomposition Total factor productivity Hospital market National Health Insurance Hospital quality |
Date: | 2017 |
Issue Date: | 2017-08-28 11:53:32 (UTC+8) |
Abstract: | 1986 年11月《醫療法》之實施公布,於該法規中引入醫院評鑑及教學醫院之評鑑準則,使醫院評鑑工作具有法律的依據。由於評鑑之通過標準主要側重在結構面,表示醫院規模愈大,所獲得的醫療費用給付則愈優渥,使大型醫院擁有更多充裕的資金,擴充其人力與設備,又加上民眾大多傾向到具先進醫療設備與優良醫師的大型醫院就醫,遂壓縮到小型醫院的生存空間,並加深醫療資源分佈的不均。為此,本文以生產力做為醫院經營表現的指標,運用1992年至2002年台灣地區1557家醫院的追蹤資料,分析台灣地區不同規模醫院間生產力的動態變化,俾利研究影響醫院生產力背後增減之因素。 本文以病床數為基準,劃分出兩種不同規模醫院的生產力:大型醫院(300床以上)以及小型醫院(300床以下),透過Olley and Pakes (1996)的半參數估計法獲得生產力,隨後延伸Melitz and Polanec (2015)之生產力動態分解方法,並同時參考Lewrick et al.(2014)的分類模式,將其分解出五項生產力貢獻:市場份額、技術效率、配置效率、以及進入與退出市場。 結果顯示大型醫院的生產力逐年增長,並高於其他規模的醫院。影響生產力變化背後最大的因素是市場份額貢獻,因健保開辦後,部分負擔制度設計不良及轉診制度未落實等因素使病患趨於前往大型醫院就醫,其市場份額的增長從而降低小型醫院的生產力;技術效率貢獻由平均生產力變動率建構而成,小型醫院的技術效率貢獻逐年下跌,因為小型醫院在面臨醫療設備的成本壓力下,以及健保政策與環境等因素,使小型醫院的門急診人次與住院人日逐年減少,最後使其總和生產力降低。 大型醫院配置效率貢獻逐年下跌,代表具有高市場份額的醫院未必會擁有較高的生產力,因此使大型醫院產業內部的要素與資源未必流向至高生力的醫院,同時會降低大型醫院的生產力,這某種程度上說明了大型醫院可能產生過度投資,導致資本投資效率較低的情況。此外小型醫院配置效率貢獻呈現穩定上漲,但其改善幅度影響甚微,使小型醫院的總和生產力成長率於樣本期間仍為負成長。 雖然小型醫院的進入效果於研究期間變化不大,但醫院退出效果卻十分顯著,在健保實施前醫院退出使小型醫院的總和生產力產生正向貢獻,但之後卻產生負面影響,代表退出醫院生產力增加的幅度相對存續醫院較高,由於面臨大型醫院競爭及不利於小型醫院的健保制度下,既使是生產力較高的小型醫院,亦有可能被迫退出市場,從而降低小型醫院的總和生產力,反映出健保實施後小型醫院的營運壓力不斷增加之困境。 有鑒於健保實施後,醫療服務之間的價格競爭大幅降低,遂可能使醫院轉向以品質競爭的方式獲得更高的生產力,本文參考Grieco & McDevitt (2017)的研究,將淨死亡率及平均住院天數作為衡量醫療品質的代理變數,分析引入品質變數後,對不同規模醫院生產力的影響。結果顯示,大型醫院的生產力與品質之抵換關係程度顯著低於小型醫院,其配置效率因品質目標引入後有增加的趨勢,表示大型醫院起初提高醫療品質可能會遭致較高的投資成本,但隨著醫療技術逐漸進步,使品質的投資成本中有部分可透過效率的改善來抵銷。此外,小型醫院存在相當大程度之抵換關係,故引入品質變數後更助長大型醫院的市場優勢,以及惡化小型醫院的營運表現。 This study is carried out which takes advantage of data from 1,557 Taiwanese hospitals (1992-2002) to decompose their overall productivity. We include the number of hospital beds in this study to classify the two different scales of hospital: large-scale hospitals (over 300 beds) and small-scale hospitals (below 300 beds). In addition, we use the productivity decomposition model from Melitz and Polanec (2015), which we extend and take the classification method from Lewrick et al.(2014) into account to decompose the productivity. Therefore, we obtain five different productivity effects: market share, technical efficiency, allocative efficiency, hospital-exit, and hospital-entry. The resulting figures show that the productivity of large-scale hospitals is greater than that of the small-scale hospitals. The market share effect of large-scale hospitals increases over time due to many patients preferring to attend large hospitals after the implementation of NHI (National Health Insurance). The technical effect of small-scale hospitals decreases because small-scale hospitals have fewer outpatient visits and days of stay, which is due to the high costs of medical manpower and equipment, and results in a lower productivity rate. The extent of excessive investment in large-scale hospitals is high and subsequently leads to low capital investment efficiency. The exit effect of small-scale hospitals decreases over time, which is due to the fact that the productivity of small-scale exiting hospitals is gradually increasing. With the substantial reduction in price competition for health care services after NHI was implemented, this made it possible for hospitals to focus on competing through the quality of their healthcare services. We use the model from Grieco & McDevitt (2017) to establish the tradeoff between productivity and healthcare quality, and use net mortality rates and average length of stay as proxy variables of healthcare quality. For this reason, hospitals had to spend a great deal of money to improve their resources and to increase the quality of healthcare provided, leading to a reduction in their productivity. We find that the productivity of large-scale hospitals does not change significantly following the introduction of the quality variables. However, there is a significant difference between the productivity and quality variables of small-scale hospitals after the introduction of the quality variable. Therefore, in the context of quality competition, raising or, at the very least, maintaining the quality of medical facilities and services is most likely to be one of the major factors in the reduction of productivity in small-scale hospitals during the period covered. |
Reference: | 王慕凡,(2000)。全民健保對各型醫院生產力之影響,中正大學會計學研究所。 行政院勞工委員會勞工保險局,(2010)。《甲子紀事 勞工保險60年》。 江東亮,(2003)。《醫療保健政策:台灣經驗 (第二版)》。台北:巨流圖書公司。 李文福、王媛慧,(2006)。台灣醫療產業生產力與效率實證研究之回顧與展望。輔仁醫學期刊,4(4),215-230。 邱永仁,(2002)。創造醫病雙贏的關係—醫界應全力推動醫療糾紛處理法。臺灣醫界,45(6),33-34。 邱芝駖,(2014)。健康保險成本控制:論總額支付制度影響醫療行為探討。社區發展季刊,第145期。 吳肖琪、吳義勇、朱慧凡、林嘉彥、李鐘祥、張錦文、藍忠孚,(2002)。我國醫院醫療品質指標使用之情形。醫療品質,2(2),1-14。 吳南河,(2004)。落實夥伴關係, 追求高效率高品質的醫療服務-對總額點值直直落之憂心。臺灣醫界,47(9),7。 林瓊瀛,(2012)。台灣醫療產業概況-市場挑戰與商機(初版)。臺北:資誠聯合會計師事務所(PwC Taiwan)。 林國明,(1997)。國家與醫療專業權力:台灣醫療保險體系費用支付制度的社會學分析。台灣社會學研究,1,77-136。 洪益欣,(2016)。全民健保知多少?從納保、給付、支付談起(上)。陽明醫聲第21期。 洪維河,(2001)。台灣住診市場分析。國立台灣大學衛生政策與管理所。 洪維河、江東亮、張睿詒,(2005)。市場結構與組織特性對醫院營運效率之影響。管理學報,22(2),191-203。 高靖秋,(2011)。台灣護理人力面面觀。澄清醫護管理雜誌,7(3),41-46。 連賢明,(2008)。如何使用健保資料進行經濟研究。經濟論文叢刊,36(1),115-143。 郭淑珍,(2004)。護理之家經營績效評估之研究-資料包絡分析法之應用。私立中國醫藥大學醫務管理學研究所。 孫遜,(2004)。資料包絡分析法-理論與應用。臺北:揚智出版社。 陳淑如、盧美秀、陳靜敏、沈宗奇,(2003)。醫院評鑑制度的探討。台灣醫界,46(11),45-47。 張石柱、蕭幸金、陳美惠、王詩鳳,(2008)。醫療品質與生產力變動之評估―以台灣醫療品質指標計畫 (TQIP) 為例。當代會計,9(1),1-32。 張錫惠、蕭家旗,(1995)。我國醫療基金營運效率之評估。會計評論,29,41-78。 張錦文,(1994)。台灣醫療制度對全民健保規劃的影響。醫院雜誌,27,4-8。 張瓊文,(2000)。全民健保制度與醫院合作經營之研究。成功大學企業管理學系碩士論文。 阮怡菱、胡豫湘,(2012)。醫院評鑑與醫院圖書館評鑑之經驗分享。臺北:臺北榮民總醫院圖書館 黃北豪,(1995)。台灣醫療產業環境探討。第四屆產業管理研討會論文輯。高雄:中山大學企管系。 黃啟聰,(2004)。地區醫院轉型長期照護機構經營策略之研究。亞洲大學經營管理學系碩士班學位論文。 黃雅琳、孫智麗,(2005)。台灣醫療產業結構與發展趨勢。台灣經濟研究月刊,28(2),71-80。 楊志良,(1992)。從全民健康保險看我國醫療保健體系,公共衛生新論,433-466。台北:巨流圖書公司。 熊心如,(2005)。全民健保總額支付制度與醫病關係之影響──某醫學中心之個案 研究。東海大學管理碩士學程在職進修專班。 劉育昇,(2009)。醫院集團之經濟分析研究。中央大學產業經濟研究所博士論文。 劉雅芳,(1993)。從生產效率觀點探討綜合醫院醫護人力比之研究。中國醫藥學院醫務管理研究所碩士論文。 韓揆,(1980)。《全民健康保險對醫院經營管理之影響評估:台灣地區綜合醫院之分佈、利用、管理及與全民健保之關係》。行政院經濟建設委員會委託全民健康保險研究報告。 魏慶國、林秀碧、吳美慧,(2003)。公立醫院經營效率評估。嘉南學報 (人文類),29,275-282。
Baily, M. N., Hulten, C., Campbell, D., Bresnahan, T., & Caves, R. E. (1992). Productivity dynamics in manufacturing plants. Brookings papers on economic activity. Microeconomics, 187-267. Chang, H., Chang, W. J., Das, S., & Li, S. H. (2004). Health care regulation and the operating efficiency of hospitals: Evidence from Taiwan. Journal of Accounting and Public Policy, 23(6), 483-510. Church, A. Hamilton. (1909). Organisation by Production Factors. The Engineering Magazine, 38, 184-194. Cleverley W. O., & R. K. Harvey. (1992). Is there a link between hospital profit and quality? Healthcare Financial Management, 46(9), 40-45. Coyne, J. S. (1982). Hospital Performance in Multi-Hospital Systems: A Comparative Study of System and Independent Hospitals. Health Service Research, 17, 303-329. De Loecker, J. (2011). Product differentiation, multiproduct firms, and estimating the impact of trade liberalization on productivity. Econometrica, 79(5), 1407-1451. Eslava, M., Haltiwanger, J., Kugler, A., & Kugler, M. (2004). The effects of structural reforms on productivity and profitability enhancing reallocation: evidence from Colombia. Journal of Development Economics, 75(2), 333-371. Foster, L., Haltiwanger, J. C., & Krizan, C. J. (2001). Aggregate productivity growth. Lessons from microeconomic evidence. In New developments in productivity analysis. University of Chicago Press, 303-372. Foster, L., Haltiwanger, J., & Syverson, C. (2008). Reallocation, firm turnover, and efficiency: Selection on productivity or profitability? The American Economic Review, 98(1), 394-425. Grieco, P. L., & McDevitt, R. C. (2017). Productivity and Quality in Health Care: Evidence from the Dialysis Industry. Review of Economic Studies, 84(3), 1071-1105. Griliches, Z., & Regev, H. (1995). Firm productivity in Israeli industry 1979–1988. Journal of Econometrics, 65(1), 175-203. Harold, O. (Ed.). (1993). The Measurement of Productive Efficiency: Techniques and Applications: Techniques and Applications. Oxford University Press, USA. Lewrick, U., Mohler, L., & Weder, R. (2014). When firms and industries matter: understanding the sources of productivity growth. BIS Working Papers, No 469, October. Longest, B. B. (1978). An empirical analysis of the quality/cost relationship. Hospital and Health Services Administration, 23(4), 20-35. Melitz, M. J., & Polanec, S. (2015). Dynamic Olley-Pakes productivity decomposition with entry and exit. The RAND Journal of Economics, 46(2), 362-375. Moreno, R. P., Rhodes, A., & Donchin, Y. (2009). Patient safety in intensive care medicine: the Declaration of Vienna. Intensive care medicine, 35(10), 1667-1672. Olley, G. S., & Pakes, A. (1996). The dynamics of productivity in the telecommunications equipment industry. Econometrica, 64(6), 1263-1297. Raffiee K. & J. Wendel (1991). Interactions between Hospital Admissions, Cost Per Day and Average Length of Stay. Applied Economics, 23, 237-246. Sherman, H. D. (1984). Hospital efficiency measurement and evaluation: Empirical test of a new technique. Medical care, 22(10), 922-938. Thanassoulis, E., Boussofiane, A., & Dyson, R. G. (1996). A comparison of data envelopment analysis and ratio analysis as tools for performance assessment. Omega, 24(3), 229-244. Van Beveren, I. (2012). Total factor productivity estimation: A practical review. Journal of economic surveys, 26(1), 98-128. |
Description: | 碩士 國立政治大學 財政學系 103255027 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0103255027 |
Data Type: | thesis |
Appears in Collections: | [財政學系] 學位論文
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