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Pollution Havens MSc International Economics and Business VJ Hartjes 1 7. APPENDIX

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VJ Hartjes 1

7. APPENDIX

A. Pollution-intensive and low pollution industries as identified by other authors

Cole and Elliot (2005) top 10 based on pollution abatement operating cost as a share of value added:

1. Petroleum SIC 29

2. Primary metals SIC 33

3. Paper SIC 26

4. Chemical industries SIC 28

5. Tobacco SIC 21

6. Leather SIC 31

7. Stone, clay, glass SIC 32 8. Fabricated metal products SIC 34

9. Lumber and wood SIC 24

10. Textile mill SIC 22

Grether and de Melo (2003), based on Mani and Wheeler (1999) according to an index of emission intensity in the air, water and heavy metals in the US: Pulp and paper (341); Industrial chemicals (351); Non-metallic minerals (369); Iron and steel (371); Non-ferrous metals (372).

Mani and Wheeler (1998) also identified the five cleanest industries: (textiles (ISIC 321), Non-electric machinery (382), Electric machinery (383), transport equipment (384), instruments (385).

Kahn and Yoshine (2004), based on energy consumption per dollar of value added:

Paper and pulp; Agricultural chemicals; Industrial chemicals; Primary metals; Glass, stone and clay. The authors check their results with indicators of industry emissions published by the World Bank, and find a close correlation with their energy consumption measure.

Xing and Kolstad (2002), based on pollution abatement capital expenditure as percentage of total capital expenditures find Chemicals and allied products and Primary metals to be pollution intensive. The authors identify Food and kindred products; Industrial machinery and equipment as much less pollutive.

Smarzynska and Wei (2001) made a classification of high / medium / low pollution and assigned a large number of 3 SIC code industries to these three categories. In the high pollution group I find confirmation for:

SIC 26: Paper and pulp SIC 28: Chemicals

SIC 32: Stone, clay and glass SIC 33: Primary metals

In the low pollution group were Electronics and Textile mill products prominently present.

Tobey (1990) selected industries with the highest pollution abatement cost as percentage of total cost: Mining; Primary non-ferrous metals; Paper and pulp; Primary Iron and Steel; Chemicals.

Beers and Van den Bergh (2000) refer to Bjorn, Golomek and Raknerud (1997), who selected Paper, pulp and paperboard; Irons, steels and ferroalloys; and Basic industrial chemicals on the basis of having a substantial share of plants that have been subject to stringent environmental regulations.

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referenced clean 3 digit SIC codes, and cross-referenced this with 2 digit NACE Rev 1.1 codes. I also undertook this cross-referencing for the aforementioned dirty industries. After taking the above into account, the following industries are included in this paper:

CLEAN US SIC NACE REV 1.1

Textile mill products 22 17

Rubber and plastic products 30 25

Transport excl. ships and railroads 37 34

Electronics 36 30+31+32

DIRTY US SIC NACE REV 1.1

Paper and allied products 26 21

Chemicals (industrial) 28 24

Stone, clay and glass 32 26

Primary metals 33 27

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VJ Hartjes 3

B. Number of observations

Country Code # of observations

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C. Commentary EKS, PPP

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VJ Hartjes 5

D. TABLE 8 Industry-level characteristics

Country Code K/L ratio DUMKLI Labor cost High skill labor

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E. TABLE 9 Correlations

TABLE 9 Correlations

ENV TREAT DIFF DUMKL DUMCLDRT MRKT LABCOST TAX SIZE

ENV 1.000000

TREAT 0.489667 1.000000

DIFF -0.660935 -0.323666 1.000000

DUMKL -0.231236 -0.509856 0.152831 1.000000

DUMCLDRT -9.05E-19 -0.000319 -1.91E-06 0.001122 1.000000

MRKT -0.372103 -0.542042 0.245938 0.204914 1.11E-18 1.000000

LABCOST 0.574184 0.438091 -0.379500 -0.271996 0.095208 0.178676 1.000000

TAX 0.624159 0.641600 -0.412529 -0.327208 -1.47E-17 -0.182334 0.502968 1.000000

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VJ Hartjes 7

F. TABLE 10 Build-on structure TABLE 10 A, B, C

A. a. b. c. d. e. f. g. h. i. ENV -0.159919 [0.041265]*** -0.186874 [0.042735]*** -0.182474 [0.042418]*** 0.198920 [0.039538]*** 0.075893 [0.062503] 0.291734 [0.072792]*** 0.291674 [0.072865]*** 0.316391 [0.081540]*** 0.364720 [0.087817]*** DUMKLINDU -0.161170 [0.061708]*** -0.152530 [0.061314]** -0.271050 [0.062492]*** -0.217211 [0.066217]*** -0.238278 [0.064727]*** -0.238974 [0.064802]*** -0.232222 [0.065583]*** 0.305230 [0.368361] DUMCLDRT 0.528176 [0.060624]*** 0.525575 [0.060914]*** 0.500242 [0.061688]*** 0.488507 [0.061523]*** 0.489621 [0.061589]*** 0.718965 [0.347584]** 0.766914 [0.348503]** MRKT 3.43E-06 [1.95E-07]*** 3.02E-06 [2.49E-07]*** 3.21E-06 [2.60E-07]*** 3.21E-06 [2.60E-07]*** 3.21E-06 [2.60E-07]*** 3.16E-06 [2.62E-07]*** LABCOST 1.047477 [0.414868]** 1.380376 [0.409496]*** 1.385976 [0.409992]*** 1.395133 [0.410218]*** 1.363205 [0.410832]*** TAX -0.086322 [0.013304]*** -0.086457 [0.013313]*** -0.086429 [0.013319]*** -0.086720 [0.013331]*** SIZE 1.58E-08 [1.98E-09]*** 1.58E-08 [1.98E-09]*** 1.58E-08 [1.98E-09]*** ENV*DUMCLDRT -0.043933 [0.065493] -0.050378 [0.065537] ENV*DUMKLINDU -0.103731 [0.070004]* McFadden R² 0.001433 0.002078 0.009364 0.040504 0.041091 0.045038 0.049538 0.049580 0.049790

Note: Standard errors in brackets. *** significant at 1% ** significant at 5% * significant at 10%

B. a. b. c. d. e. f. g. h. i. TREAT -0.043469 [0.004203]*** -0.057005 [0.004522]*** -0.056857 [0.004514]*** -0.019593 [0.005277]*** -0.068732 [0.007663]*** -0.065105 [0.008390]*** -0.065186 [0.008397]*** -0.060032 [0.009707]*** -0.061037 [0.00978]*** DUMKLINDU -0.496172 [0.064434]*** -0.493137 [0.064395]*** -0.406428 [0.065396]*** -0.339857 [0.065384]*** -0.336478 [0.065483]*** -0.337405 [0.065561]*** -0.331952 [0.065831]*** -0.828496 [0.438203]* DUM 0.529796 [0.060728]*** 0.517076 [0.060951]*** 0.450539 [0.061183]*** 0.448808 [0.061201]*** 0.450014 [0.061269]*** 0.809168 [0.356157]** 0.795793 [0.358216]** MRKT 2.44E-06 [1.97E-07]*** 1.07E-06 [2.39E-07]*** 1.09E-06 [2.39E-07]*** 1.10E-06 [2.39E-07]*** 1.09E-06 [2.40E-07]*** 1.16E-06 [2.47E-07]*** LABCOST 3.647692 [0.350972]*** 3.718435 [0.354348]*** 3.725470 [0.354760]*** 3.733167 [0.354750]*** 3.638043 [0.366613]*** TAX -0.013059 [0.012329] -0.013149 [0.012342] -0.013133 [0.012349] -0.013567 [0.012327] SIZE 1.58E-08 [1.98E-09]*** 1.58E-08 [1.98E-09]*** 1.58E-08 [1.98E-09]*** TREAT*DUM -0.008848 [0.008637] -0.008623 [0.008686] TREAT*DUMKLINDU 0.012676 [0.011037] Mc Fadden R² 0.011837 0.017355 0.024660 0.039548 0.049425 0.049531 0.054039 0.054138 0.054260

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C. a. b. c. d. e. f. g. h. i. DIFF 0.162215 [0.027959]*** 0.174247 [0.028458]*** 0.172532 [0.028371]*** 0.001787 [0.027503] 0.100723 [0.031886]*** 0.066111 [0.032519]** 0.039152 [0.032905] 0.061917 [0.043985] 0.035656 [0.050834] DUMKLINDU -0.156820 [0.060700]*** -0.149573 [0.060563]** -0.318976 [0.062101]*** -0.189138 [0.065701]*** -0.203484 [0.064984]*** -0.207208 [0.065011]*** -0.213347 [0.065475]*** -0.253666 [0.076916]*** DUM 0.528582 [0.060634]*** 0.519861 [0.060945]*** 0.479027 [0.061273]*** 0.465140 [0.061306]*** 0.467945 [0.061373]*** 0.496816 [0.071685]*** 0.501465 [0.071762]*** MRKT 2.90E-06 [1.73E-07]*** 2.50E-06 [1.85E-07]*** 2.30E-06 [1.87E-07]*** 2.37E-06 [1.88E-07]*** 2.37E-06 [1.88E-07]*** 2.35E-06 [1.89E-07]*** LABCOST 1.941456 [0.305928]*** 2.613793 [0.330998]*** 2.527757 [0.332402]*** 2.521366 [0.332465]*** 2.499799 [0.333096]*** TAX -0.054589 [0.011816]*** -0.057094 [0.011838]*** -0.057158 [0.011841]*** -0.057572 [0.011867]*** SIZE 1.54E-08 [2.00E-09]*** 1.54E-08 [2.00E-09]*** 1.54E-08 [2.00E-09]*** DIFF*DUM -0.039226 [0.049976]*** -0.035442 [0.049926] DIFF*DUMKLINDU 0.052124 [0.051306] Mc Fadden R² 0.003267 0.003898 0.011193 0.038222 0.041908 0.043867 0.048111 0.048169 0.048267

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VJ Hartjes 9

G. TABLE 11 High-skill variable

TABLE 11 A, B, C Regression statistics

ENV 21 24 27

ENV 0.507042 [0.378452] 0.418252 [0.124419]*** -1.058281 [0.383584]***

DUMKLINDU 10.07178 [3.770254]*** -4.204549 [0.657480]*** -14.77555 [2.016435]***

MRKT 4.24E-06 [1.78E-06]** 3.60E-06 [3.75E-07]*** 2.12E-06 [9.39E-07]**

HIGHSKILL -0.361046 [0.050372]*** 0.153119 [0.027967]*** 0.138739 [0.055239]**

TAX -0.151289 [0.073132]** -0.061941 [0.022746]*** -0.012081 [0.045734]

SIZE 1.41E-07 [5.08E-08]*** 2.23E-08 [5.56E-09]*** 2.10E-08 [1.19E-08]*

ENV*DUMKLINDU -2.154596 [0.759056]*** 0.678494 [0.123661]*** 2.753497 [0.387803]***

Mc Fadden R² 0.219730 0.079076 0.183352

Note: Standard errors in brackets. *** significant at 10% ** significant at 5% * significant at 1% B.

TREAT 21 24 27

TREAT 0.032320 [0.037563] -0.134041 [0.017547]*** -0.357464 [0.054164]***

DUMKLINDU 21.30901 [7.172499]*** -7.009428 [0.831783]*** -19.31526 [2.051490]***

MRKT 3.60E-06 [1.78E-06]** -8.55E-07 [6.15E-07] -6.88E-06 [1.91E-06]***

HIGHSKILL -0.372563 [0.049223]*** 0.269715 [0.036869]*** 0.660945 [0.114604]***

TAX -0.126774 [0.060704]** 0.207307 [0.037334]*** 0.520897 [0.102461]***

SIZE 1.41E-07 [5.10E-08]*** 2.26E-08 [5.59E-09]*** 2.16E-08 [1.21E-08]*

TREAT*DUMKL -0.594067[0.196897]*** 0.158457 [0.021144]*** 0.474891 [0.050983]***

Mc Fadden R² 0.227684 0.088499 0.222955

Note: Standard errors in brackets. *** significant at 10% ** significant at 5% * significant at 1% C.

DIFF 21 24 27

DIFF2 -0.013387 [0.190762] -0.005209 [0.070630] 0.455047 [0.129973]***

DUMKLINDU -0.959616 [0.369892]*** -0.670152 [0.151253]*** -0.226770 [0.258277]

MRKT 6.97E-06 [1.06E-06]*** 2.79E-06 [3.36E-07]*** 3.25E-06 [6.29E-07]***

HIGHSKILL -0.386528 [0.051259]*** 0.084613 [0.022666]*** 0.081312 [0.042770]*

TAX -0.135117 [0.051872]*** -0.009350 [0.020433] 0.054339 [0.040923]

SIZE 1.29E-07 [5.16E-08]** 2.37E-08 [5.61E-09]*** 1.89E-08 [1.18E-08]

DIF*DUMKLINDU 0.297914 [0.252303] -0.233598 [0.099785]** -0.874396 [0.163044]***

Mc Fadden R2 0.195962 0.060445 0.096220

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