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| Title: | 考量內生性生產要素與非意欲產出問題下探討CSR活動對銀行業經濟效率之影響
A study of the effects of bank`s CSR activities on its economic efficiency when endogenous inputs and undesirables present |
| Authors: | 邱義晃
Chiu, Yi-Huang |
| Contributors: | 黃台心
Huang, Tai-Hsin
邱義晃
Chiu, Yi-Huang |
| Keywords: | 隨機邊界法
工具變數
投入面方向距離函數
企業社會責任
環境變數
非意欲產出
技術無效率
配置無效率
Stochastic frontier analysis
Instrumental variables
Input directional distance function
Corporate social responsibility
Environmental variable
Undesirable outputs
Technical inefficiency
Allocative inefficiency |
| Date: | 2021 |
| Issue Date: | 2021-11-01 11:54:09 (UTC+8) |
| Abstract: | 隨著經濟成長與環境變遷，企業經營開始注重環境、社會和公司治理(ESG)，本文針對這個議題，探討企業社會責任投入對銀行業經濟效率之影響，CSR資料取自EIRIS之2003-2014年32個國家287家銀行，要素投入與產出數據取自Bureau Van Dijk公司之ORBIS Bank Focus全球銀行與金融分析資料庫，利用隨機邊界方法考慮生產要素內生性與非意欲產出，同時探討技術與配置效率議題。採用Amsler, Prokhorov and Schmidt (2016)工具變數法解決要素內生性問題，確保迴歸係數估計值具備一致性，實證結果顯示總成本無效率主要來自配置無效率，而非技術無效率，此發現與銀行業常進行組織結構改造，重新調整人力、資本與資金等以改善配置無效率相呼應一致。
進一步將技術和總無效率與環境變數連結，包括(1)前五大銀行市占率、(2) 銀行成立年數、(3)CSR員工項目分數、(4)資產報酬率、(5)淨值資產比、(6) CSR公司治理分數、(7)銀行資產/GDP比、(8)人均GDP等8個環境變數，其中前三項主要影響技術無效率因素，結果發現環境變數確實影響銀行經營效率，擬定執行經營策略納入考慮有其重要性。並將研究資料依年份期間與洲別分類，發現2007-2009年次貸風暴期間銀行經營效率最低，但三個期間的差異未達統計顯著；洲別分類以亞洲銀行經營效率最低，檢定發現歐洲與美洲銀行經營效率顯著高於亞洲銀行，研判與亞洲銀行種族文化、經濟環境與規模差異較大有關。文中比較不考慮(1)內生性、(2) CSR與(3)非意欲產出對經營效率之影響，發現造成技術無效率與配置無效率誤置，導致銀行經營者執行錯誤的經營策略方向，反而造成資源更多的浪費，評估銀行經營效率的影響因素必須充份完整，不得不慎。
With economic growth and environmental changes, firms begin to engage in activities of environment, society, and corporate governance (ESG). This dissertation focuses on these topics and examines the impact of corporate social responsibility (CSR) on economic efficiency of the banking industry. CSR related data are taken from EIRIS database spanning 2003-2014, including 287 banks from 32 countries. Input and output variables are collected from ORBIS Bank Focus database of Bureau Van Dijk. We use the stochastic frontier analysis that takes account of endogenous input and undesirable output into account to estimate technical and allocative efficiency for the sample banks. Following Amsler, Prokhorov and Schmidt (2016), we use instrumental variable approach to solve the endogeneity problem, which ensures the consistency of the parameter estimates. We estimate an input directional distance function and a cost frontier. The empirical results show that the total cost inefficiency is mainly from allocative inefficiency, rather than technical inefficiency. This suggests that the sample banks reallocate the employment of labor, capital, and funds in such a way as to improve allocative efficiencies.
We allow technical inefficiency to be correlated with eight environmental variables, including (1) the market share of the top five banks, (2) the number of years the banks have established, (3) the scores of CSR employee, (4) return on assets, (5) equity to assets ratio, (6) the scores of CSR corporate governance, (7) the ratio of bank assets to GDP, and (8) per capita GDP. We claim that the first three variables affect technical inefficiency, while the remaining five variables impact cost inefficiency. Empirical results support the use of the chosen environmental variables to account for inefficiency. The data are further classified by year and location (continents). Evidence is found that during the period of the financial crisis in 2007-2009, various efficiency measures are found to be the lowest, while the differences between other periods do not attain statistical significance. As far as location is concerned, banks operating in Asia have the lowest operation efficiency, while European and American banks are found to be outperform Asian banks on average. This may be attributed to environmental differences, including ethnic culture, economic environment, legal system, and operation scale. The models that ignore (1) endogeneity, (2) CSR activities, and (3) undesirable output tend to obtain biased technical and allocative inefficiency measures, leading bank managers to adopt wrong business strategies. We recommend that researchers incorporate the above three factors in their empirical models. |
| Reference: | 中文文獻
池祥麟、陳庭萱(2004)，銀行業企業社會責任之探討，台灣金融財務季
刊，5(2)，111-127。
李文福、張民忠、王媛慧(2015)，衡量與分解臺灣銀行業生產力與利潤力
變動，經濟研究，51(2)，305-356。
李宜謙(2010)，應用方向距離函數估計台灣銀行業效率與生產力，國立政
治大學經濟學碩士論文。
李秀英、劉俊儒、楊筱翎(2011)，企業社會責任與公司績效之關聯性，東
海管理評論，13(1)，77-111。
沈中華、陳庭萱(2008)，台灣商業銀行修正呆帳提列後的成本效率實證研
究，經濟論文，36(2)，223-247。
林灼榮、張國雄、徐啟升、邱敬貿(2007)，金融自由化對台灣十大行庫營
運績效之影響，經濟研究，43(1)，1-33。
林宜諄(2008)，企業社會責任入門手冊，天下遠見。
林炳文(2002)，臺灣地區商業銀行合併效率性之分析-資料包絡分析法的應
用，臺灣管理學刊，1(2)，341-356。
卓佳慶(2011)，以方向性距離函數法衡量本國銀行業之效率與生產力-考慮
逾放比率，台灣銀行季刊，62(1)，26-41。
胡聚男(2020)，利用網絡 DEA 與網絡 SFA 探討企業社會責任對於銀行效
率之影響，國立政治大學金融所博士論文。
姚富元(2007)，台灣地區金融控股公司子銀行與一般商業銀行經營績效分
析:隨機邊界利潤函數之應用，國立中興大學應用經濟研究所碩士論文。
莊國柱、吳振國(2006)，臺灣區農會信用部經營效率評估:非意欲因素資料
包絡分析法的應用，東吳經濟商學學報，52，1-26。
陳柏琪、張靜貞、游明敏與徐世勳(2009)，臺灣地區農會經營績效之評估-
多部門資料包絡法之應用，經濟論文叢刊，37(4)，415-453。
陳昱宏、方顯光、蘇怡真(2012)，台灣之銀行業經營與財務績效分析，華
人經濟研究，10(2)，79-103。
張穎中(2017)，企業社會責任與成本效率之關係-隨機成本邊界法，國立政
治大學金融所碩士論文。
黃台心(1997)，臺灣地區本國銀行成本效率之實證研究-隨機邊界模型之應
用，人文及社會科學集刊，9(1)，85-123。
黃台心(1998)，以隨機成本邊界函數分析本國銀行的規模與多元經濟，經
濟論文叢刊，26(2)，209-241。
黃台心(2002)，我國多產出銀行業不完全競爭策略行為之研究，經濟論
文，30(1)，79-113。
黃台心、王美惠(2005)，考慮技術與配置無效率下的銀行業規模與多元經
濟分析，東吳經濟商學學報，50，1-44。
黃台心、沈中華、吳孟紋、張穎中(2019)，在隨機成本架構下銀行從事CSR
會否影響其效率？財務金融學刊，27(4)，1-32。
黃台心、林嘉偉、胡聚男(2019)，考慮單調性與曲度於貝氏隨機方向距離
函數以衡量生產效率，經濟論文叢刊，47 (2)，273-320。
黃台心、張寶光、邱郁芳(2009)，應用共同成本函數探討東亞六國銀行業
之生產效率，經濟論文，37，61-100。
黃旭寧(2017)，企業社會責任與銀行成本效率之關係-兩階段資料包絡分析
法，國立政治大學金融所碩士論文。
黃美瑛、盧彥瑋(2008)，台灣金融業結合案例之經濟效益評估-金控公司範
疇經濟衡量，公平交易季刊，16(4)，31-66。
黃建銘(2006)，企業社會責任與營運績效分析:兩層級資料包絡分析法之應
用，國立政治大學財政所碩士論文。
黃國睿(2014)，金融監理制度對商業銀行利潤效率之影響--亞洲12國之實
證分析，國立政治大學金融所碩士論文。
梁連文、李盈慧(2016)，企業社會責任與銀行效率關聯性之探討-三階段資
料包絡分析法，會計與財金研究，9(1)，11-30。
梁連文、彭顯浩(2016)，公司治理、外資進入可提升銀行效率嗎？金控與
非金控銀行之比較分析，績效與策略研究，13(1)，21-44。
梁連文、黃舒筠(2013)，企業社會責任可提升銀行經營績效嗎？-隨機邊界
法之應用，中華管理績效評鑑學會，5(2)，49-66 。
馮燕(2004)，企業型基金會公益資源運用個案研究，行政院國家科學委員
會專題研究計畫成果報告。
馮璐、吳夢(2018)，互聯網金融對中國商業銀行利潤效率的影響研究，武
漢金融，2018(10)，41-53。
曾昭玲、陳世能、林俊宏(2005)，逾放比對銀行經營績效影響之多期性研
究，台灣金融財務季刊，6(4)，41-68。
楊文、孫蚌珠、程相賓(2015)，中國國有商業銀行利潤效率及影響因素-基
於所有權結構變化視角，經濟學（季刊），2015(1)，535-556。
楊永列、黃鏡如(2010)，台灣地區本國銀行生產面與成本面 Malmquiest
生產力指數之估計，經濟論文叢刊，37(4)，353-378。
詹維玲、劉景中(2006)，金融自由化後台灣銀行的效率與生產力，經濟論
文，34(4)，251-300。
劉松瑜、謝棋、溫育芳(2006)，台灣銀行業在金控與非金控架構下之效率
分析，台灣金融財務季刊，7(3)，127-176。
劉孟飛、王軍(2015)，系統性風險約束下的商業銀行成本、利潤效率比較
研究，中國管理科學，23(12)，27-34。
劉湘國(1998)，臺灣地區一般新、舊銀行經營效率之比較:利潤函數之應用
與研究，國立交通大學管理科學研究所碩士論文。
鄭秀玲、劉育碩(2000)，銀行規模、多角化程度與經營效率分析-資料包絡
法之應用，人文及社會科學集刊，12(1)，103-148。
鍾朝偉(2013)，台灣金融控股公司的成本與利潤效率之分析，國立中興大
學應用經濟研究所碩士論文。
戴錦周、丁佳瑜(2006)，台灣商業銀行成本效率與風險之研究-異質變異隨
機邊界分析之應用，亞洲管理與人文科學期刊，1(3)，404-421。
英文文獻
Ackerman, R. W., & Bauer, R. A. (1976), Corporate social
responsiveness, Reston , VA：Reston.
Adesina, K. S. (2019), Bank technical, allocative and cost
efficiencies in Africa: The influence of intellectual
capital, The North American Journal of Economics and
Finance, 48, 419-433.
Aigner, D. J. (2006), Corporate social responsibility and
the bottom line, Working Paper, Paul Merage School of
Business, University of California, Irvine.
Akande, J. O. & Kwenda, F. (2017), Competition cause
stability in banks? SFA and GMM application to Sub-Saharan
Africa commercial banks, Journal of Economics and
Behavioral Studies, 9(4(J)), 173-186.
Aly, H.Y., Grabowski, R., Pasurka, C., & Rangan, N. (1990),
Technical, scale and allocative efficiencies in US banking:
An empirical investigation, Review of Economics and
Statistics, 72, 211-218.
Amsler, C., Prokhorov, A., & Schmidt, P. (2016), Endogeneity
in stochastic frontier models, Journal of Econometrics,
190, 280-288.
Amsler, C., Prokhorov, A., & Schmidt, P. (2017), Endogenous
environmental variables in stochastic frontier models,
Journal of Econometrics, 199, 131-140.
Ardizzi, G., Crudu, F. & Petraglia, C. (2019), Innovation
and cost efficiency in the banking industry: The role of
electronic payments, Economic Notes - Monte Paschi Siena,
48(1), 12121-n/a.
Ariff, M. & Can, L. (2008), Cost and profit efficiency of
Chinese banks: A non-parametric analysis, China Economic
Review, 19, 260-273.
Aupperle, K. E., Carroll, A. B., & Hatfield, J. D. (1985),
An empirical examination of the relationship between
corporate social responsibility and profitability, Academy
of Management Journal, 28(2), 446-463.
Avkiran, N. K. (1999), The evidence on efficiency gains: The
role of mergers and the benefits to the public, Journal of
Banking and Finance, 23, 991-1013.
Bagnoli, M. & Watts, S. G. (2003), Selling to socially
responsible consumers: Competition and the private
provision of public goods, Journal of Economics &
Management Strategy, 12(3), 419-445.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984), Some
models for estimating technical and scale inefficiencies in
data envelopment analysis, Management Science, 30(9), 1078-
1092.
Barnett, M. L. & Salomon, R. M. (2006), Beyond dichotomy:
the curvilinear relationship between social responsibility
and financial performance, Strategic Management Journal,
27(11), 1101-1122.
Baron, D. P. (2001), Private politics, corporate social
responsibility, and integrated strategy, Journal of
Economics & Management Strategy, 10(1), 7-45.
Battese, G. E. &Rao, D. S. P. (2002), Technology gap,
efficiency and a stochastics metafrontier function,
International Journal of Business and Economics, 1, 87-93.
Battese, G. E., Rao, D. S. P. & O`Donnell, C. J. (2004), A
metafrontier production function for estimation of
technical efficiencies and technology gaps for firms
operating under different technologies, Journal of
Productivity Analysis, 21, 91-103.
Becchetti, L. & Trovato, G. (2011), Corporate social
responsibility and firm efficiency: a latent class
stochastic frontier analysis, Journal of Productivity
Analysis, 36(3), 231-246.
Béchir, B. L., Brahim, G., Younes, B. Z., & Jahmane, A.
(2019), Accounting for endogeneity and the dynamics of
corporate social–Corporate financial performance
relationship, Journal of Cleaner Production, 230, 352-364.
Belasri, S., Gomes, M., & Pijourlet, G. (2020), Corporate
social responsibility and bank efficiency, Journal of
Multinational Financial Management, 54, 100612.
Berger, A. N. & DeYoung, R. (1997), Problem loans and cost
efficiency in commercial banks, Journal of Banking and
Finance, 21(7), 849-870.
Berger, A. N. & DeYoung, R. (2001), The effects of
geographic expansion on bank efficiency, Journal of
Financial Services Research, 19, 163−207.
Berger, A. N., Hasan, I., & Zhou, M. (2009), Bank ownership
and efficiency in China: What will happen in the world`s
largest nation?, Journal of Banking & Finance, 33, 113-130.
Berger, A. N. & Humphrey, D. B. (1997), Efficiency of
financial institutions: International survey and directions
for future research, European Journal of Operational
Research, 98, 175-212.
Bhattacharya, C.B, & Sen, S. (2004), Doing better at doing
good: when, why, and how consumers respond to corporate
social initiatives, California Management Review, 47(1), 9-
24.
Bonin, J. P., Hasan, I., & Wachtel, P. (2005), Privatization
matters: Bank efficiency in transition countries, Journal
of Banking & Finance, 29, 2155-2178.
Bos, J. W. B. & Schmiedel, H. (2007), Is there a single
frontier in a single European banking market?, Journal of
Banking and Finance, 31, 2081-2102.
Boutin-Dufresne, F. & Savaria, P. (2004), Corporate social
responsibility and financial risk, The Journal of
Investing, 13(1), 57-66.
Bowen, H. R. (1953), Social Responsibilities of the
Businessman, New York: Harper and Brothers.
Bowman, E. H., & Haire, M. (1975). A strategic posture
toward corporate social responsibility, California
Management Review, 18(2), 49-58.
Boyle, E. J., Higgins, M. M., & Rhee, G. S. (1997), Stock
market reaction to ethical initiatives of defense
contractors: Theory and evidence, Critical Perspectives on
Accounting, 8(6), 541-561.
Brammer, S., & Millington, A. (2008), Does it pay to be
different? An analysis of the relationship between
corporate social and financial performance, Strategic
Management Journal, 29(12), 1325-1343.
Brammer, S. & Pavelin, S. (2004), Building a good
reputation, European Management Journal, 22(6), 704-713.
Brammer, S. J. & Pavelin, S. (2006), Corporate reputation
and social performance: The importance of fit, Journal of
Management Studies, 43(3), 435-455.
Carroll, A. B. (1991), The pyramid of corporate social
responsibility: Toward the moral management of
organizational stakeholders, Business Horizons, 34(4), 39-
48.
Carroll, A. B. (1999), Corporate social responsibility:
Evolution of a definitional construct, Business and
Society, 38, 268-295.
Casu, B. & Girardone, C. (2004), Financial conglomeration:
Efficiency, productivity and strategic drive, Applied
Financial Economics, 14, 687-696.
Chambers, R. G. (1988). Applied Production Analysis: A Dual
Approach, Cambridge University Press.
Chambers, R., Chung, Y., & F¨are, R. (1996), Benefit and
distance functions, Journal of Economic Theory, 70, 407-
419.
Charles, V. & Kumar, M. (2014), Satisficing data envelopment
analysis: An application to SERVQUAL efficiency,
Measurement, 51, 71-80.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978), Measuring
the efficiency of decision making units, European Journal
of Operational Research, 2, 429-444.
Chen, K. H. (2012), Incorporating risk input into the
analysis of bank productivity: Application to the Taiwanese
banking industry, Journal of Banking and Finance, 36, 1911-
1921.
Chen, X., Skully, M., & Brown, K. (2005), Banking efficiency
in China：Application of DEA to pre- and post-deregulation
eras：1993-2000, China Economic Review, 16, 229-245.
Chen, Y. & Wang, Y. (2015), The efficiency of China`s
banking industry and the determinants, International
Economic Journal, 241-23.
Chen, Y. C., Chiu, Y. H., Huang, C. W., & Tu, C. H. (2013),
The analysis of bank business performance and market risk—
Applying fuzzy DEA, Economic Modelling, 32, 225-232.
Chen, Z., Matousek, R., & Wanke, P. (2018), Chinese bank
efficiency during the global financial crisis: A combined
approach using satisficing DEA and support vector machines,
The North American Journal of Economics and Finance, 43,
71-86.
Cheng, C. P., Liang, L. W., & Huang, C. T. (2014), Effect of
internationalization on the cost efficiency of Taiwan`s
banks, Emerging Markets Finance & Trade, 50 (sup6), 204-
228.
Cho, T. Y. (2020), Cost metafrontier approach for measuring
the Malmquist productivity index: An example of bank groups
formed after the financial reform in Taiwan, Pacific
Economic Review (Oxford, England), 25(4), 475-494.
Choi, H., Choi, B., & Byun, J. (2018), The relationship
between corporate social responsibility and earnings
management: Accounting for endogeneity, Investment
Management & Financial Innovations, 15(4), 69-84.
Chung, Y., F¨are, R., & Grosskopf, S. (1997), Productivity
and undesirable outputs: A directional distance function
approach, Journal of Environmental Management, 51, 229-
240.
Coelli, T. J., Rao, D. S. P., O’Donnell, C. J., & Battese,
G. E. (2005), An introduction to efficiency and
productivity analysis, Springer, New York, New York.
Dam, L., Koetter, M., & Scholtens, B. (2009), Why do firms
do good? Evidence from managerial efficiency, SSRN Working
Paper.
Davis, K. (1960), Can business afford to ignore social
responsibilities?, California Management Review, 2(3), 70-
76.
Ding, N., Fung, H. G., & Jia. J. (2015), What drives cost
efficiency of banks in China,China & World Economy, 23(2),
61-83.
Donaldson, T. & Preston, L. E. (1995), The stakeholder
theory of the corporation: Concepts, evidence, and
implications, Academy of Management Review, 20(1), 65-91.
Dowell, G., Hart, S., & Yeung, B. (2000), Do corporate
global environmental standards create or destroy market
value?, Management Science, 46(8), 1059-1074.
Ducassy, I. (2013), Does corporate social responsibility pay
off in times of crisis? An alternate perspective on the
relationship between financial and corporate social
performance, Corporate Social Responsibility and
Environmental Management, 20(3), 157-167.
Färe, R., & Grosskopf, S. (2004), Modeling undesirable
factors in efficiency evaluation: Comment, European Journal
of Operational Research, 157(1), 242-245.
Färe, R., Grosskopf, S., & Lovell, C. (1985), The
Measurement of Efficiency of Production, Boston US: Kluwer-
Nijhoff Publishing.
Färe, R., & Grosskopf, S. (2005), New directions: Efficiency
and Productivity, Kluwer Academic Publishers,
Boston/Dordrecht/London.
Färe, R., Grosskopf, S., Noh, D-W., & Weber, W. (2005),
Characteristics of a polluting technology: Theory and
practice, Journal of Econometrics, 126(2), 469-492.
Färe, R., Grosskopf, S., & Weber, W. (2004), The effect of
risk-based capital requirements on profit efficiency in
banking, Applied Economics, 36, 1731-1743.
Färe, R., Grosskopf, S., & Weber, W. (2006), Shadow prices
and pollution costs in U.S. agriculture, Ecological
Economics, 56, 89-103.
Farrell, M. J. (1957), The measurement of productive
efficiency, Journal Royal Statistical Society, 120, 53-
281.
Farrier, G. D. & Lovell, C. A. (1990), Measuring cost
efficiency in banking: Econometric and linear programming
evidence, Journal of Econometrics, 46, 229-245.
Feith, M. D. & Pasiouras, F. (2010), Assessing bank
efficiency and performance with operational research and
artificial intelligence techniques: A survey, European Journal of Operational Research, 204, 189-198.
Formbrun, C. J., Gardberg, N. A., & Barnett, M. L. (2000).
Opportunity platforms and safety nets: Corporate
citizenship and reputational risk, Business and Society
Review, 105, 85-106.
Forgione, A. F., Laguir, I., & Staglianò, R. (2020), Effect
of corporate social responsibility scores on bank
efficiency: The moderating role of institutional context,
Corporate Social Responsibility and Environmental
Management, 27(5), 2094-2106.
Frankental, P. (2001), Corporate social responsibility–a PR
invention? Corporate Communications, 6(1), 18-23.
Frederick, W. C. (1960), The growing concern over business
responsibility, California
Management Review, 2, 54-61.
Friedman, M. (1970), The social responsibility of business
is to increase its profits, New York Times Magazine,
September, 13.
Fries, S. & Taci, A. (2005), Cost efficiency of banks in
transition: Evidence from 289 banks in 15 post-communist
countries, Journal of Banking & Finance, 29(1), 55-81.
Fu, X. & Heffernan, S. (2007), Cost X-efficiency in China`s
banking sector, China Economic Review, 18, 35-53.
Fu, X., & Heffernan, S. (2009), The effects of reform on
China`s bank structure and performance, Journal of Banking
& Finance, 3, 39-52.
Fukuyama, H. & Tan, Y. A. (2021), Corporate social
behaviour: Is it good for efficiency in the Chinese banking
industry?, Annals of Operations Research, Accepted: 11
February .
Fukuyama, H. & Weber, W. L. (2008), Japanese banking
inefficiency and shadow pricing, Mathematical and Computer
Modelling, 48, 1854-1867.
Fungáčová, Z., Pessarossi, P., & Weill, L. (2013), Is bank
competition detrimental to efficiency? Evidence from China,
China Economic Review, 27, 121-134.
Garcia-Herrero, A., Gavila, S., & Santabarbara, D. (2009),
What explains the low profitability of Chinese banks?,
Journal of Banking & Finance, 33, 2080-2092.
Ghoul, S. E., Guedhami, O., Kwok, C. C. Y., & Mishra, D. R.
(2011), Does corporate social responsibility affect the
cost of capital? Journal of Banking & Finance, 35(9), 2388-
2406.
Godfrey, P. C., Merrill, C. B., & Hansen, J. M. (2009), The
relationship between corporate social responsibility and
shareholder value: An empirical test of the risk management
hypothesis. Strategic Management Journal, 30(4), 425-445.
Goodpaster, K. E. (1983), The concept of corporate
responsibility, Harvard Business Review, 61, 1-22.
Goss, A. & Roberts, G. S. (2011), The impact of corporate
social responsibility on the cost of bank loans. Journal of
Banking & Finance, 35(7), 1794-1810.
Graves, S. B. & Waddock, S. A. (1994), Institutional owners
and corporate social performance, Academy of Management
Journal, 37(4), 1034-1046.
Griffin, J. J. & Mahon, J. F. (1997), The corporate social
performance and corporate financial performance debate:
Twenty-five years of incomparable research, Business &
Society, 36(1), 5-31.
Hasan, I. & Marton, K. (2003), Development and efficiency of
the banking sector in a transitional economy: Hungarian
experience, Journal of Banking & Finance, 27, 2249-2271.
Hayami, Y. (1969), Sources of agricultural productivity gap
among selected countries, American Journal of Agricultural
Economics, 51, 564-575.
Hayami, Y. & Ruttan, V. W. (1970), Agricultural Productivity
Differences among Countries, The American Economics Review,
60, 895-911.
Henderson, A. T. & Mapp, K. L. (2002), The Impact of School,
Family, and Community Connections on Student Achievement,
Austin, TX: Southwest Educational Development Laboratory.
Hillman, A. J. & Keim, G. D. (2001), Shareholder value,
stakeholder management, and social issues: What`s the
bottom line? Strategic Management Journal, 125-139.
Holod, D. & Lewis, H. F. (2011), Resolving the deposit
dilemma: A new DEA bank efficiency model. Journal of
Banking & Finance, 35(11), 2801-2810.
Huang, M. Y. & Fu, T. T. (2013), An examination of the cost
efficiency of banks in Taiwan and China using the
metafrontier cost function, Journal of Productivity
Analysis, 40, 387-406.
Huang, M. Y., Fu, T. T., Pastor, J.T, Aparicio, J., & Orea,
L. (2013), An examination of the cost efficiency of banks
in Taiwan and China using the metafrontier cost function,
Journal of Productivity Analysis, 40(3), 387-406.
Huang, T. H., Chang, B. G., & Kuo, C. Y. (2015), A
comparison of the technical efficiency of accounting firms
among the US, China, and Taiwan under the framework of a
stochastic metafrontier production function, Journal of
Productivity Analysis, 44, 337-349.
Huang, T. H., Chang, B. G., & Kuo, C.Y. (2017), Comparing
the metafrontier Malmquist productivity changes of public
accounting firms across countries, Asia-Pacific Journal of
Accounting and Economics, 26(5), 589-608.
Huang, T. H., Chiang, D. L., & Tsai, C. Ｍ. (2015), Applying
the new metafrontier directional distance function to
compare banking efficiencies in Central and Eastern
European countries, Economic Modelling, 44(1), 188-199.
Huang, T. H., Chiu, Y. H. & Mao, C. Y. (2021), Imposing
regularity conditions to measure bank`s productivity
changes in Taiwan using a stochastic approach, Asia-Pacific
Financial Markets, 28(2), 273-303.
Huang, T. H. & Chung M. T. (2017), Do undesirables matter on
the examination of banking efficiency using stochastic
directional distance functions, The Quarterly Review of
Economics and Finance, 65, 194-211.
Huang, T. H. & Kao, T. L. (2006), Joint estimation of
technical efficiency and production risk for multioutput
banks under a panel data cost frontier model, Journal of
Productivity Analysis, 26(1), 87-102.
Huang, T. H., Huang, C. J., & Liu, N. H. (2014), A new
approach to estimating the metafrontier production function
based on a stochastic frontier framework, Journal of
Productivity Analysis, 42, 241-254.
Huang, T. H., Shen, C. H., Wu, M. W., & Chang, Y. C. (2019),
Does CSR engagement affect banking efficiency in the
context of a stochastic cost frontier? Journal of Financial
Studies, 27(4), 1-32.
Huang, T. H. & Wang, M. H. (2004), Comparisons of economic
inefficiency between output and input measures of technical
inefficiency using the Fourier flexible cost function,
Journal of Productivity Analysis, 22(1-2), 123-142.
Humphrey, D. B. (1985), Costs and scale economies in bank
intermediation, Handbook for Banking Strategy, 745-783.
Jiang, C., Yao, S., & Zhang, Z. (2009), The effects of
governance changes on bank efficiency in China: A
stochastic distance function approach, China Economic
Review, 20, 717-731.
Jondrow, J., Lovell, C. A. K., Materov, I. S., & Schmidt, P.
(1982), On estimation of technical inefficiency in the
stochastic frontier production function model, Journal of
Econometrics, 19, 233-238.
Jones, T. M. (1995), Instrumental stakeholder theory: A
synthesis of ethics and economics, Academy of Management
Review, 20(2), 404-437.
Kaffash, S., Azizi, R., Huang, Y., & Zhu, J. (2020), A
survey of data envelopment analysis applications in the
insurance industry 1993–2018, European Journal of
Operational Research, 284(3), 801-813.
Karakaplan, M. U. & Kutlu, L. (2013), Handling endogeneity
in stochastic frontier analysis: A solution to endogenous
education cost frontier models, Discussion Paper, Oregon
State University.
Karakaplan, M. U. & Kutlu, L. (2017), Endogeneity in panel
stochastic frontier models: An application to the Japanese
cotton spinning industry, Applied Economics, 49(59),
5935-5939.
Karray, S. C. & Chichti, J. E. (2013), Bank size and
efficiency in developing countries: Intermediation approach
versus value added approach and impact of non-traditional
activities, Asian Economic and Financial Review, 3(5), 593.
Kevork, I. S., Pange, J., Tzeremes, P., & Tzeremes, N. G.
(2017), Estimating Malmquist productivity indexes using
probabilistic directional distances: An application to the
European banking sector, European Journal of Operational
Research, 261(3), 1125-1140.
King, A. & Lenox, M. (2002), Exploring the locus of
profitable pollution reduction, Management Science, 48, 289
–299.
Koutsomanoli-Filippaki, A., Margaritis, D., & Staikouras, C.
(2009), Efficiency and productivity growth in the banking
industry of Central and Eastern Europe, Journal of Banking
& Finance , 33, 557-567.
Kutlu, L. (2010), Battese-coelli estimator with endogenous
regressors, Economics Letters, 109(2), 79-81.
Kutlu, L., Tran, K. C., & Tsionas, M. G. (2019), A time-
varying true individual effects model with endogenous
regressors, Journal of Econometrics, 211(2), 539-559.
Lai, H.P. & Kumbhakar, S. C. (2018), Endogeneity in panel
data stochastic frontier model with determinants of
persistent and transient inefficiency, Economics Letters,
162, 5-9.
Lai, H.P. & Kumbhakar, S. C. (2019), Technical and
allocative efficiency in a panel stochastic production
frontier system model, European Journal of Operational
Research, 278(1), 255-265.
Latruffe, L., Bravo-Ureta, B. E., Carpentier, A., Desjeux,
Y., & Moreira, V. H. (2017), Subsidies and technical
efficiency in agriculture: Evidence from European dairy
farms, American Journal of Agricultural Economics , 99(3),
783-799.
Lee, C. C. & Huang, T. H. (2017), Cost efficiency and
technological gap in Western European Banks: A stochastic
metafrontier analysis, International Review of Economics
and Finance, 48, 161-178.
Lešanovská, J. & Weill, L. (2016), Does greater capital
hamper the cost efficiency of banks?, A bicausal analysis,
Comparative Economic Studies, 58(3), 409.
Liadaki, A. & Gaganis, C. (2010), Efficiency and stock
performance of EU banks: Is there a relationship?, Omega
(Oxford), 38(5), 254-259.
Liang, L. W., Cheng, C. P., & Lin, Y. P. (2020),
Determinants of banking efficiency and survival in Taiwan
with consideration of the real management cost, Emerging
Markets Finance & Trade, 56(5), 1003-1023.
Lin, H. L., Tsao, C. C. & Yang, C. H. (2009), Bank reforms,
competition and efficiency in China`s banking system: Are
small city bank entrants more efficient?, China and World
Economy, 17, 69- 87.
Lin, X. & Zhang, Y. (2009), Bank ownership reform and bank
performance in China, Journal of Banking & Finance , 33, 20-29.
Malikov, E., Kumbhakar, S. C., & Tsionas, M. G. (2016), A
cost system approach to the stochastic directional
technology distance function with undesirable outputs: The
case of US banks in 2001–2010, Journal of Applied
Econometrics (Chichester, England), 31(7), 1407-1429.
Malmquist, S. (1953), Index numbers and indifference
surfaces, Trabajos de Estadistica, 4, 209-242.
Mamatzakis, E., Staikouras, C., & Koutsomanoli-Filippaki, A.
(2008), Bank efficiency in the new European Union member
states: Is there convergence?, International Review of
Financial Analysis, 17, 1156-1172.
Mamatzakis, E., Tsionas, M. G., Kumbhakar, S. C., &
Koutsomanoli-Filippaki, A. (2015), Does labour regulation
affect technical and allocative efficiency? Evidence from
the banking industry, Journal of Banking & Finance, 61,
S84-S98.
Maradin, D., Prohaska, Z., & Nikolaj, S. S. (2019), The
productivity of European banking sector: A review of the
post-2000 literature, UTMS Journal of Economics, 10(2),
249-257.
Margolis, J. D. & Walsh, J. P. (2003), Misery loves
companies: Rethinking social initiatives by business,
Administrative Science Quarterly, 48(2), 268-305.
Mecaj, A. & Bravo, M. I. G. (2014), CSR actions and
financial distress: Do firms change their CSR behavior when
signals of financial distress are identified? Modern
Economy, 5(4), 259-271.
Melo-Becerra, L.A. & Orozco-Gallo, A.J. (2017), Technical
efficiency for Colombian small crop and livestock farmers:
A stochastic metafrontier approach for different production
systems, Journal of Productivity Analysis, 47, 1-16.
Meng, M. (2014), A hybrid particle swarm optimization
algorithm for satisficing data envelopment analysis under
fuzzy chance constraints, Expert Systems with Applications,
41(4), 2074-2082.
Mester, L. J. (1993), Efficiency in the savings and loan
Industry, Journal of Banking and Finance, 17, 267-286.
Miller, S. M. & Noulas, A. G. (1996), The technical
efficiency of large bank production, Journal of Banking &
Finance, 20(3), 495−509.
Moskowitz, M. (1972), Choosing socially responsible stocks,
Business and Society Review, 1(1), 71-75.
Nelling, E. & Webb, E. (2009), Corporate social
responsibility and financial performance: The “virtuous
circle” revisited, Review of Quantitative Finance and
Accounting, 2(2), 197-209.
Nguyen, P. H. & Pham, D. T. B. (2020), The cost efficiency
of Vietnamese banks: The difference between DEA and SFA,
Journal of Economics and Development, 22(2), 209-227.
Nguyen, T. L. A. (2018), Diversification and bank efficiency
in six ASEAN countries, Global Finance Journal, 37, 57-78.
Nguyen, T. L. A. & Vo, X. V. (2020), Does corporate
governance really matter for bank efficiency?, Evidence
from ASEAN countries, Eurasian Economic Review, 10(4), 681-
706.
Noulas, A. G. (1997), Productivity growth in the Hellenic
banking industry: State versus Private Banks, Applied
Financial Economics, 7, 223-228.
O`Donnell, C. J., Rao, D. S. P., & Battese, G. E. (2008),
Metafrontier frameworks for the study of firm-level
efficiencies and technology ratios, Empirical Economics,
34, 231-255.
Orlitzky, M., Schmidt, F. L., & Rynes, S. L. (2003),
Corporate social and financial performance: A meta-
analysis, Organization Studies, 24(3), 403-441.
Park, K. H. & Weber, W. L. (2006), A note on efficiency and
productivity growth in the Korean banking industry, 1992-
2002, Journal of Banking & Finance, 30, 2371-2386.
Parkan, C. (1987), Measuring the efficiency of service
operations: An application to bank branches, Engineering
Costs and Production Economics, 12, 237-242.
Pasiouras, F., Tanna, S., & Zopounidis, C. (2009), The
impact of banking regulations on bank`s cost and profit
efficiency: Cross-country evidence, International Review of
Financial Analysis, 18(5), 294-302.
Paul, C. M., and Siegel, D. (2006), Corporate social
responsibility and economic performance, Journal of
Productivity Analysis, 26(3), 207-211.
Peloza, J. (2006), Using corporate social responsibility as
insurance for financial performance, California
Management Review, 48(2), 52-72.
Phan, T., Daly, K., Doan, A. T., & McMillan, D. (2018), The
effects of risks and environmental factors on bank cost
efficiency: A study in East Asia and Pacific region, Cogent
Economics & Finance, 6(1), 1-25.
Porter, M. E. (1980), Competitive strategy: Techniques for
analyzing industries and competition, New York, 300, 28.
Preston, L. E., & Post, J. E. (1975), Private management
and public policy：The principle of public responsibility,
Englewood Cliffs, NJ：Prentice Hall.
Prior, D., Surroca, J., & Tribo, J. A. (2008), Are socially
responsible managers really ethical? Exploring the
relationship between earnings management and corporate
social responsibility, Corporate Governance, 16(3), 160-
177.
Puri, J. & Yadav, S. P. (2014), A fuzzy DEA model with
undesirable fuzzy outputs and its application to the
banking sector in India, Expert Systems with Applications,
41 (14), 6419-6432.
Rahman, M. M., Ashraf, B. N., Zheng, C., & Begum, M. (2017),
Impact of cost efficiency on bank capital and the cost of
financial intermediation: Evidence from BRICS countries,
International Journal of Financial Studies, 5(4), 32.
Rezvanian, R. & Mehdian, S. (2002), An examination of cost
structure and production performance of commercial banks in
Singapore, Journal of Banking & Finance, 26(1), 79-98.
Ritter, C., & Simar, L. L. (1997), Pitfalls of normal-Gamma
stochastic frontier models, Journal of Productivity
Analysis, 8(2), 167-182.
Rogers, K. E. (1998), Nontraditional activities and the
efficiency of US commercial banks, Journal of Banking &
Finance, 22, 467−482.
Russo, M. & Fouts, P. (1997), A resource-based perspective
on corporate environmental performance and profitability,
Academy of Management Journal, 40, 534–559.
Santín, D. & Sicilia, G. (2017), Dealing with endogeneity in
data envelopment analysis applications, Expert Syst. Appl.,
68, 173-184.
Sapci, A. & Miles, B. (2019), Bank size, returns to scale,
and cost efficiency, Journal of Economics and Business,
105, 105842.
Sathye, M. (2003), Efficiency of banks in a developing
economy: The case of India, European Journal of
Operational Research, 148, 662-671.
Sealey Jr, C. W. & Lindley, J. T. (1977), Inputs, outputs,
and a theory of production and cost at depository financial
institutions, The Journal of Finance (New York), 32(4),
1251-1266.
Seiford, L. M. & Zhu, J. (2002), Modeling undesirable
factors in efficiency evaluation, European Journal of
Operational Research, 142, 16-20.
Sethi, S. P. (1975), Dimensions of corporate social
performance an analytical framework, California Management
Review, 17, 58-64.
Shah, A. A., Wu, D., & Korotkov, V. (2019), Are sustainable
banks efficient and productive? A data envelopment analysis
and the Malmquist productivity index analysis
Sustainability, Basel, Switzerland, 11(8), 2398, MDPIAG.
Shao, L., Xu, T., & Shao, Y. (2020), Non-parametric model
for evaluating the performance of Chinese commercial bank`s
product innovation sustainability, (Basel, Switzerland),
12(4), 1523.
Shephard, R. W. (1970), Theory of Cost and Production
Functions, Princeton: Princeton University Press.
Sherman, H. D. & Gold, F. (1985), Bank branch operating
efficiency: Evaluation with data envelopment analysis,
Journal of Banking and Finance, 9, 297-315.
Shiu, Y. M. & Yang, S. L. (2017), Does engagement in
corporate social responsibility provide strategic insurance
‐like effects?, Strategic Management Journal, 38(2), 455-
470.
Sonnenfeld, J. (1982), Measuring corporate social
performance, Harvard Business Review, 60, 371-375.
Soteriou, A. C. & Zenios, S. A. (1999), Using data
envelopment analysis for costing bank products, European
Journal of Operational Research, 114(2), 234-248.
Staikouras, C., Mamatzakis, E., & Koutsomanoli-Filippaki, A.
(2008), Cost efficiency of the banking industry in the South Eastern European region, Int. Fin. Markets, Inst. and
Money, 18, 483-497.
Staub, R., da Silva e Souza, G., & Tabak, B. M. (2010),
Evolution of bank efficiency in Brazil: A DEA approach,
European Journal of Operational Research, 202, 204-213.
Sufian, F. & Kamarudin, F. (2017), Forced mergers on bank
efficiency and productivity: evidence from semi-parametric
Malmquist productivity index, Global Business Review,
18(1), 19-44.
Tanna, S. (2009), The impact of foreign direct investment on
total factor productivity growth: International evidence
from the banking industry, Managerial Finance, 35, 297-
311.
Tran, K. C. & Tsionas, E. G. (2013), GMM estimation of
stochastic frontier model with endogenous regressors,
Economics Letters, 118(1), 233-236.
Tran, K. C. & Tsionas, E. G. (2015), Endogeneity in
stochastic frontier models: Copula approach without
external instruments, Economics Letters, 133, 85-88.
Tsionas, E. G., Assaf, A. G., & Matousek, R. (2015), Dynamic
technical and allocative efficiencies in European banking,
Journal of Banking & Finance, 52, 130-139.
Tsionas, E. G., Atkinson, S. E., & Assaf, A. G. (2013),
Limited information analysis of multiple output production,
unpublished manuscript.
Tsionas, M. G., Assaf, A. G., & Andrikopoulos, A. (2020),
Quantile stochastic frontier models with endogeneity,
Economics Letters, 188, 108964, Elsevier B.V.
Tsolas, I. E. & Charles, V. (2015), Incorporating risk into
bank efficiency: A satisficing DEA approach to assess the
Greek banking crisis, Expert Systems with Applications,
42(7), 3491-3500.
Udhayakumara, A., Charles, V., & Kumar, M. (2011),
Stochastic simulation based genetic algorithm for chance
constrained data envelopment analysis problems, Omega: The
International Journal of Management Science, 39(4), 387-
397.
Ullah, S., Akhtar, P., & Zaefarian, G. (2018), Dealing with
endogeneity bias: The generalized method of moments (GMM)
for panel data, Industrial Marketing Management, 71, 69-78.
Vance, S. C. (1975), Are socially responsible corporations
good investment risks, Management Review, 64(8), 19-24.
Valverde, S. C. & Humphrey, D. B. (2007), Opening the black
box: Finding the source of cost inefficiency, Journal of
Productivity Analysis, 27(3), 209-220.
Vardar, G. (2013), Efficiency and stock performance of banks
in transition countries: Is there a relationship?,
International Journal of Economics and Financial
Issues,3(2), 355-369
Vitaliano, D. F. & Stella, G. P. (2006), The cost of
corporate social responsibility: the case of the community
reinvestment act, Journal of Productivity Analysis, 26(3),
235-244.
Waddock, S. & Graves, S. (1997), The corporate social
performance - financial performance link, Strategic
Management Journal, 18(4), 303-319.
Wainwright, K. (2005), Fundamental Methods of Mathematical
Economics, Boston, Mass.: McGraw-Hill/Irwin.
Wanke, P., Barros C. P, & Emrouznejad, A. (2018), A
comparison between stochastic DEA and fuzzy DEA approaches:
Revisiting efficiency in Angolan banks, R.A.I.R.O.
Recherche Opérationnelle, 52(1), 285-303.
Weill, L. (2004), Measuring cost efficiency in European
banking: A comparison of frontier techniques, Journal of
Productivity Analysis, 21, 133-152.
Wheelock, D. C. & Wilson, P. W. (1995), Evaluating the
efficiency of commercial banks: Does our view of what banks
do matter?, Federal Reserve Bank of St Louis Review,74(4),
39-52.
Wood, D. J. (1991), Corporate social performance revisited,
Academy of Management Review, 16(4), 691-718.
Wright, P. & Ferris, S. P. (1997), Agency conflict and
corporate strategy: The effect of divestment on corporate
value, Strategic Management Journal, 18(1), 77-83.
Wu, M. W. & Shen, C. H. (2013), Corporate social
responsibility in the banking industry: Motives and
financial performance, Journal of Banking & Finance, 37(9),
3529-3547.
Yang, S. L. (2016), Corporate social responsibility and an
enterprise`s operational efficiency: considering
competitor`s strategies and the perspectives of long-term
engagement, Quality & Quantity, 50(6), 2553-2569
Yao, S., C., Jiang, G., Feng, & Willenbockel, D. (2007), WTO
challenges and efficiency of Chinese banks, Applied
Economics, 39, 629-643.
Yin, H., Yang, J., & Mehran, J. (2013), An empirical study
of bank efficiency in China after WTO accession, Global
Finance Journal, 24, 153-170.
Zelenyuk, N. & Zelenyuk, V. (2021), Bank performance
analysis, CEPA Working Papers Series WP022021, School of
Economics, University of Queensland, Australia.
Zelenyuk, V. (2006), Aggregation of Malmquist productivity
indexes, European Journal of Operational Research, 174,
1076-1086.
Zhu, N., Stjepcevic, J., Baležentis, T., Yu, Z., & Wang, B.
(2017), How does corporate social responsibility impact
banking efficiency: a case in China, E&M Ekonomie a
Management, 20(4), 70-87. |
| Description: | 博士
國立政治大學
金融學系
102352505 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0102352505 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202101627 |
| Appears in Collections: | [金融學系] 學位論文
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