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Bureaucratic Effectiveness Through EGovernment: Institutional or Technological Determinism Theory an

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Title: Bureaucratic Effectiveness Through EGovernment: Institutional or Technological Determinism Theory an


1
Bureaucratic Effectiveness Through E-Government
Institutional or Technological Determinism?
Theory and Cross-National Evidence
  • Rumel Mahmood AABEA
  • WashU. in St. Louis Dec.
    2006
    New York

2
Outline
  • What is E-governance and why is it important?
  • Theories of state capacity and bureaucratic
    delegation
  • Evidence of the determinants of e-governance from
    145 countries worldwide

3
1. What is e-governance and why is it important?
(Boilerplate)
  • E-governance is the ability of a state to
    interact and conduct transactions with its
    citizens, or businesses, through the internet or
    wireless technology
  • Almost always provides citizens, businesses, and
    governments substantial cost-savings
  • E-governance enables a government to interact
    with its citizens or businesses 24/7/365
  • In the nomenclature of e-commerce, e-governance
    streamlines G2C, G2B, and G2G interactions
  • In short, e-governance is an important component
    of a states capacity

4
The E-government literature
  • CEG (2001)
  • The Economist (2000)
  • Heeks (1999)
  • Fountain (2001)
  • UNPAN (2002, 2003)
  • Mahmood (2004)
  • Can e-government reduce corruption? A Case Study
    from South Asia

5
The Research Centers (US)
  • NCDG, KSG _at_ Harvard
  • NSF Digital Government Research Program
  • The Center for Digital Government (Folsom, CA)
  • The E-governance Institute, Rutgers (NJ)
  • Centre for Excellence for Electronic Government,
    St.Gallen (Switz.)
  • Centre for Electronic Governance, India Institute
    for Management-Ahemedabad (Gujurat)

6
Some of the luminaries
  • Weber (1958) Modern bureaucracies are needed to
    cope with industrialization, and are also made
    possible because of industrial advancement.
  • Riker (1964) Each advance in the technology of
    transportation makes it possible to rule a larger
    geographic area from once center, to fill a
    treasury more abundantly, to maintain a larger
    bureaucracy and police, and most important of
    all, to assemble a larger army.Hence it is that
    technological change and a sense of competition
    together guarantee that governments will expand
    to the full extent that technology permits (2).
  • So, Is technology deterministic?

7
No, Technology is not deterministic
  • Social Construction of Technology (SCOT) Theory
  • The impact and effects of a technology are highly
    mediated by societal factors the impact is not
    linear (Bijker 1993 Smith Marx 1994)

8
2. Theories of state capacity and bureaucratic
delegation
  • Objective In search of testable hypotheses
  • Let us be deductive, not inductive
  • It is easy to run regressions
  • Heeks (1999) Political will necessary? I.e.,
    high seat share?

9
Polisci examples from formal (game) theory
  • Geddes (1994) Stalemate has lead to bureaucratic
    reform in Latin American countries
  • Epstein OHalloran (1996, 1999) Huber and
    Shipan (2002) Policy conflict has lead to
    decreased discretion allocated to bureaucrats
  • Huber Shipan (2002, 25) the administrative
    state does not exist all bureaucrats must
    ultimately heed the warnings and interests of
    Congress, at least in the US Case. Cites some
    limited cross-national evidence

10
Remaining Questions from Bureaucratic Literature
  • Does the findings of Geddes (1994) and Epstein
    OHalloran (1996, 1999) and Huber Shipan (2002)
    conflict? Or are they mutually exclusive?
  • The former argues that stalemate led to
    bureaucratic reform, while the latter argue
    stalemate leads to less discretion in
    bureaucratic delegation

11
Proposal a Unification
  • Something that attempts to quantify stalemate
    beyond dummy variables of divided or unified
    legislature may be suggestive
  • Using such a measure for explaining large-N study
    of a policy or bureaucratic outcome

12
3. Evidence of e-governance from 145 countries
worldwide
  • The hypotheses
  • Data
  • Operationalization of the variables
  • Regression analyses

13
Hypotheses
  • H1 Technology will be most significant factor in
    explaining cross-national variation
  • H2 Institutions in terms of democracy vs.
    autocracy will be most significant factor in
    explaining cross-national variation (Dahl 1971)
  • H3 Parliamentary vs. presidential
  • Persson and Tabellini (2000a, 2000b)

14
Hypotheses
  • H4 The quality of a nations e-government
    presence will improve when the government parties
    control a smaller seat share
  • H5 The quality of a countrys national
    e-government presence will improve when the
    amount of ideological polarization between
    executive and legislature increases

15
The Dependent Variable
  • Web Quality Information Services
  • UNPAN data from 2001
  • 6 months of observation for each country
  • 145 countries
  • Measures quality of website, with goal of
    measuring service orientation and ability of site
  • 1-4 scale with 0.25 increments

16
Data The Independent Variables
  • Economics/Technology/Development UNPAN, World
    Bank
  • GDP PPP 2001
  • Technology variables
  • Political Rights Freedom House
  • Government power Database of Political
    Institutions
  • Herfindahl Index
  • Polarization

17
GDP Per Capita Technology Correlation
  • Web 0.66
  • PCs per 100 0.92
  • Internet Hosts 0.66
  • Population Online 0.84
  • Telephones per 1000 0.91
  • Mobile Phones per 1000 0.91
  • TVs per 1000 0.77
  • InfoIndex 0.6
  • Egov Index 0.78
  • .

18
Herfindahl Index
  • The sum of the squared seat shares of all
    parties in the government. Equals NA if there is
    no parliament. If there are any government
    parties where seats are unknown (cell is blank),
    the Herfindahl is also blank. No parties in the
    legislature (0 in 1GOVSEAT) results in a NA in
    the Herfindahl. In the case of other parties,
    Herfindahl divides the number of other seats by
    the number of other parties and uses this
    average for the size of the other parties.
    Independents are calculated as if they were
    individual parties with one seat each.

19
Control Variables
  • Trade
  • James (1999) Globalization is a function of
    trade (in ICTs)
  • M2
  • Amount of liquidity in the economy
  • Aid (Wade 2002)
  • Developing countries only improve in e-government
    because of donors

20
Regression Equation
  • Web Quality a ß1log(GDP/capita) ß2(Trade2)
    ß3(M2) ß4(Aid) ß5(Democarcy)
    ß6(Parliamentary) ß7(Presidential)
    ß8(Herfindahl Index) e
  • With continental fixed effects (results not
    shown, but not altered greatly. Reveals Africa is
    not doing as well as other continents.)

21
Dependent Variable Quality of E-gov, 1-5
-.8269 .7002 .4768 .0792 -.0128 .0065 .00005 .
00003 .0036 .0023 -.0481 .0374 -.0470 .0246 -.3
206 .2256 .0273 .0879
-.1876 .7352 .5364 .0759 -.0162 .0057 .00006
.00003 .0006 .0022 -.0869 .0382 -.6816 .2328
-.4236 .2195 -.6223 .2424
-.0.918 .6736 .5508 .0732 -.0156 .0058 .00006
.00003 .0009 .0022 -.0827 .0351 -.5968 .2354
-.3459 .2201
-1.711 .0584 0.6108 .0684 -.0159 .0059 .000
07 .00003 .0005 -.0482 .0235 -.0343 .02246
-1.77 .6407 0.5796 .07934 -.0184 .0063 .000
08 .00003 .0019 .0022 .0017 .0023
Intercept Log(Income) Trade Trade2 M2 Aid D
emocracy Parliamentary Presidential Herfindahl
Polarization
0.592 85 0.624 3.29e-15
0.6088 93 0.6001 1.33e-15
0.6222 103 0.5575 8.76e-16
0.6327 106 0.5315 1.55e-15
0.631 99 0.457 6.51e-12
RSE DF R2 p-value
0.001 0.01 0.05 0.1
Significant Codes
22
Preliminary Conclusions
  • Political Institutional Variables play an
    important role
  • Decreases in the strength of the government
    play a most explanatory role in leading to good
    electronic governance
  • (Politics is more important in fixed-effect
    models results not shown)

23
Future Considerations
  • Principles components analysis (PCA) to combine
    technological variables
  • Time-series analysis with 2001-2005 data
  • UNPAN, Accenture, CapGemini
  • Panel-corrected standard errors (PCSEs) lagged
    dependent variable
  • Case studiesthick description to strengthen
    the thin description
  • Federalism context

24
Multi-level analysis? Federalism
  • Continent
  • Country
  • Bureaucracy/Agency
  • Sub-national/State
  • Bureaucracy/Agency
  • Local
  • Bureaucracy/Agency
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