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Good for the Goose, Bad for the Flock? FDI in Developing Countries (with special focus on India) Nita Rudra, University of Pittsburgh Siddharth Joshi, Indian ... – PowerPoint PPT presentation

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Title: Maintenance services


1
Good for the Goose, Bad for the Flock? FDI in
Developing Countries (with special focus on
India)
Nita Rudra, University of Pittsburgh Siddharth
Joshi, Indian Institute of Management, Bangalore
2
Puzzle Limited research on how FDI affects the
poor?
  • Political economy has yet to uncover the many
    complexities of FDI
  • Existing literature FDI affects growth,
    inequality, labor rights, wages, and employment.
  • But these can improve without impacting quality
    of life of majority of population in developing
    countries (Sen 1987, 2003)
  • Point we have limited understanding of how FDI
    impacts the well-being of host populations

3
Research focus The links between FDI, water,
and the poor
  • Study of FDI impacts on poor should focus on
    water because
  • It is the poor who lack access in developing
    countries
  • It provides a more complete picture of well-being
    of the poor
  • Existing research on water access has neglected
    the role of international economic factors
  • It is a precise way to unravel (some of) the
    complexities of FDI and its effects on host
    populations

4
Argument in Brief FDI contributes to water
crises
  • FDI helps improve the well-being of the poor only
    under certain circumstances low socioeconomic
    diversity
  • Much of the rapidly expanding sectors attracting
    FDI in developing countries are highly water
    intensive or water-polluting, or both
  • FDI key mechanism for tech transfer and best
    practices
  • BUT foreign investors have limited incentive to
    treat water as a valuable resource
  • AND governments have limited incentives in
    diverse countries to regulate MNC activities or
    implement comprehensive water policies

5
3. Theoretical foundation FDI as a factor in
water access
  • OLI framework host countries must offer
    locational advantages to firms (Dunning 2001,
    1998, 1973)
  • The Pollution Haven Hypothesis developing
    countries have a comparative advantage in dirty
    products
  • Findings Free trade is good for the environment
    (Bhagwati 2004, Frankel 2003, de Soysa and
    Neumayer2005, Birdsall and Wheeler 1993, Grossman
    and Krueger 1994, Amtweiler , Copeland and Taylor
    2001)

Issues . . .
  • Focus on atmospheric pollution
  • Neglect extent of water consumption
  • Most focus on trade effects

6
3. FDI could helpbut limited incentives
  • Much of the expanding sectors for FDI in
    developing countries are water-intensive and/or
    water-polluting (electric and electronic
    products, machinery, automotive products, metals,
    food and beverages)
  • Spread of best practice is unlikely
  • South-South FDI on the rise
  • Most FDI in developing countries is
    market-oriented
  • Lower consumer awareness in internationally and
    domestically

7
3. Weak government regulations
  • As multinational firms demand greater access to
    water and increase water pollution, potable water
    declines
  • Weakly enforced water regulations (supply and
    usage)
  • Low tariffsgt prevents cost recovery to provide
    access to gen pop
  • Corruption
  • Rent seeking occurs as governments underreport
    water use, accepting bribes to cover wastewater
    discharge and pollution ( Global Corruption
    Report 2004)
  • H1 FDI will have an adverse impact on access to
    potable water

8
3. But FDI does not hurt water access in all
countries
  • Government preferences are related to level of
    inequality and ethnic diversity
  • Richer groups in unequal countries prefer the
    status quo, and hold more political sway relative
    to larger group of disadvantaged poor(logic
    based on Alesina, Baqir, and Easterly 1999)
  • Rich already have access to potable water in
    developing countries they benefit the most from
    water subsidies (Human Development Report 2006,
    World Bank 2005).
  • Reforms would result in higher costs for
    themselves and multinationals
  • This group of elites favor multinationals (Pandya
    2010)
  • Ethnic diversity increases chasm between elites
    and masses
  • In more equal countries, larger middle classes
    shares an economic interest in regulating MNCs
    and comprehensive water policies.

9
3. FDI impacts will be conditioned by government
preferences
  • High inequality is associated with weak conflict
    mediating institutions (World Development Report
    2005, Acemoglu, Johnson and Robinson 2001,
    Engerman et al 2002, Easterly, Rizen and Woolcock
    2006)
  • Reasons historical
  • inequality lends itself to a power structure that
    is crystallized in institutions
  • Political elites systematically neglect
    subordinate groups in unequal societies
  • H2 FDI will slow access to potable water in
    countries with high socioeconomic diversity

10
3. Case study India
  • Increases confidence that a link between FDI and
    Indias water crisis
  • Additional causal mechanisms
  • FDI does have environmentally friendly
    technologies, but insufficient
  • FDI boosts productivity and output of local firms
    (Haskel, Pereira and Slaughter 2002).

11
3. Theoretical Predictions Impact of FDI on
Poor
12
4. Impact of FDI on Water Consumption and Water
Pollution
Models Industrial water withdrawal ( total water withdrawal) Industrial water withdrawal ( total water withdrawal) Organic water pollutant (BOD) emissions (kg per day)
Models (1) (2) (3)
FDI inflow 0.209 (0.119) 1.500 (0.593) 0.0465 (0.0123)
Population 3.836 (1.331) 0.337 (1.568) 1.082 (0.0598)
Urban population () 0.0239 (0.0112) -0.0973 (0.126) 0.00674 (0.00296)
GDP per capita 8.015 (3.364) 0.458 (0.0641)
GDP growth -1.138 (1.141) -0.666 (0.272)
Constant -59.93 (20.81) -50.57 (37.86) -10.96 (1.466)
N 187 89 119
R-squared 0.236 0.154 0.680
13
4. FDI and potable water access in developing
countries
Models Access to water ( change) Access to water ( change) Access to water ( change) Access to water ( change)
Models (1) (2) (3) (4) (5)
FDI inflow(t-1) -0.0181 (0.00782) 0.0569 (0.0546) 0.118 (0.0654) 0.100 (0.0498) 0.0112 (0.00153)
Socio-economic diversity 0.0999 (0.0591)
Estimated Household Income Inequality (EHII) 0.00587 (0.00543)
Gini index 0.0102 (0.00279) 0.00544 (0.000609)
FDI flow(t-1) Socio-economic diversity -0.0443 (0.0235)
FDI flow(t-1) EHII -0.00323 (0.00168)
FDI flow(t-1) Gini index -0.00275 (0.000942) -0.000256 (5.51e-05)
Non-military gov spending(t-1) -5.39e-05 (4.00e-05) -3.59e-05 (2.25e-05) 3.45e-06 (5.31e-05) 0.00374 (0.000693)
Economic growth 0.00405 (0.0147) 0.00381 (0.00872) 0.00907 (0.0131) -0.0175 (0.00708)
Climate change 0.0230 (0.0213) -0.00102 (0.0140) 0.0165 (0.0171) 0.0126 (0.0188)
GDP per capita -0.0112 (0.0587) -0.0249 (0.0399) -0.0217 (0.0393) -0.0219 (0.00717)
Urban population -0.00211 (0.00139) -0.000844 (0.000914) -0.0217 (0.0393)
Population 0.477 (0.375) 0.533 (0.361) 0.516 (0.268) 0.0201 (0.00239)
Polity 0.00592 (0.00468) 0.00594 (0.00412) 0.00110 (0.00490) 0.00474 (0.00145)
Fixed Effects No No No No Yes
Year Effects Yes Yes Yes Yes No
Region Effects No No No No Yes
N 77 39 50 40 108
R-squared 0.252 0.598 0.473 0.703 0.98
14
4. India Impact of FDI on Water Supplies
Models ADD Cases ADD Cases ADD Cases Access to water (age change) Access to water (age change) Access to water (age change)
Models (1) (2) (3) (4) (5)a (6)a
FDI inflow(t-2) 0.0967 (0.0502) 0.101 (0.0591) 0.111 (0.0595) -0.00345 (0.00122) -0.00283 (0.00118) -0.00270 (0.00120)
Population growth 1.354 (0.974) 1.079 (1.026) 2.96 (0.0319) 4.70 (0.0405)
Economic growth -0.131 (0.712) 0.0262 (1.209) 0.0548 (0.0321) 0.0778 (0.0393)
Urban pop -0.124 (0.354)
GSDP per cap 0.517 (0.815) -0.00847 (0.0247)
Water exp per cap -0.161 (0.202) -0.000406 (0.00586)
Health exp per cap 0.656 (0.489)
State fixed effects No Yes Yes No Yes Yes
Year fixed effects No Yes Yes No Yesa Yesa
N 247 231 217 262 243 224
R-squared 0.966 0.974 0.973 0.065 0.310 0.308
15
4. Impact of FDI on HHLD Access to Piped Water
in India
Models Access to water ( change) Access to water ( change) Access to water ( change) Access to water ( change)
Models MV Socioeconomic inequality MV Socioeconomic inequality MV Weaker section population MV Conviction rate
Models (1) (2) (3) (4)
FDI inflow(t-2) -0.00282 (0.00118) 4.326 (1.129) 0.0112 (0.00691) -0.00537 (0.00334)
Socio-economic diversity -0.0145 (0.00822) 0.110 (0.0811)
SC/ST ( population) 0.00389 (0.00152)
Conviction rate -0.0153 (0.00857)
FDI flow(t-2) Socio-economic diversity -2.165 (0.564)
FDI flow (t-2) SC/ST -0.000660 (0.000341)
FDI flow (t-2)Conviction rate 0.0608 (0.0356)
Population growth 0.0332 (0.0327) 0.0404 (0.0331) -0.0522 (0.0511) -0.138 (0.0376)
State econ growth 0.0574 (0.0325) 0.0496 (0.0402) 0.0736 (0.0284) 0.0946 (0.0328)
Urban pop -0.0263 (0.103) 0.130 (0.376) 1.184 (0.740)
GSDP -0.0171 (0.0185) 0.0149 (0.0338) -0.129 (0.0546)
Water expenditure per capita -0.00153 (0.00334) -0.00288 (0.00546) 0.00267 (0.00732)
Access to water ( change) (t-1) 0.0621 (0.184) 0.457 (0.228) 0.390 (0.294)
State fixed effects Yes Yes Yes Yes
Year fixed effects Yesa Yesa Yes Yes
N 243 224 224 165
R-squared 0.310 0.842 0.644 0.668
16
4. Impact of FDI on HHLD Access to Piped Water
17
4. Impact of FDI on HHLD Access to Piped Water
  Dependent Variable Access to water (age change) Dependent Variable Access to water (age change) Dependent Variable Access to water (age change) Dependent Variable Access to water (age change) Dependent Variable Access to water (age change) Dependent Variable Access to water (age change) Dependent Variable Access to water (age change)
  Manufact FDI Services FDI Manufacturing Subsector FDI Manufacturing Subsector FDI Manufacturing Subsector FDI Manufacturing Subsector FDI Manufacturing Subsector FDI
  Manufact FDI Services FDI Textile FDI Chemicals FDI Food and Beverages FDI Electrical Machinery FDI Transport Equipment FDI
FDI (Disaggregated) -0.00347 (0.00170) 0.00747 (0.00480) -0.00938 (0.00456) -0.00195 (0.00452) 0.0262 (0.0578) -0.0467 (0.0634) 0.000133 (0.00252)
Population growth 0.0256 (0.0330) -0.0720 (0.206) -2.407 (0.835) 0.0556 (0.0487) -0.365 (0.342) -1.315 (0.925) -3.033 (1.545)
State Economic growth 0.0533 (0.0342) 0.100 (0.0504) 0.0655 (0.0389) 0.105 (0.0510) 0.0889 (0.0568) 0.161 (0.100) 0.129 (0.0513)
Year Fixed Effects Yes Yes Yes Yes Yes Yes Yes
State Fixed Effects Yes Yes Yes Yes Yes Yes Yes
N 222 171 45 155 147 77 99
R-squared 0.292 0.311 0.781 0.337 0.531 0.598 0.630
18
5. Conclusions and Contributions
  • FDI can adversely affect water access in
    countries with skewed distributions of income
  • Potential contributions to debates in CPE, IPE
    and IE
  • Do multinationals flock to developing countries
    because of weak regulations (PHH)?
  • Likely
  • Contribution Need to consider water pollution
    and water consumption
  • Does global market integration undermine
    government control?
  • FDI pressures can reinforce government inaction
  • Contribution different mechanisms at play
  • Does FDI help the poor?
  • In homogenous developing countries some
    political responses to globalization can be
    predicted on the basis of inequality and ethnic
    heterogeneity
  • Contribution impacts of openness may be
    conditioned by class cleavages
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