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Spillover effects of trade openness on CO2 emissions in middle?income countries: A spatial panel data approach. (2021). Mighri, Zouheir ; Ragoubi, Hanen.
In: Regional Science Policy & Practice.
RePEc:bla:rgscpp:v:13:y:2021:i:3:p:835-877.

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  1. Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin. (2023). Zhao, Dapeng ; Liu, Qiongzhi.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:3:p:1327-:d:1047854.

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  1. Adams, S., & Klobodu, E. K. M. (2017). Urbanization, democracy, bureaucratic quality, and environmental degradation. Journal of Policy Modeling, 39(6), 1035–1051.

  2. Al‐Mulali, U., & Ozturk, I. (2016). The investigation of environmental Kuznets curve hypothesis in the advanced economies: The role of energy prices. Renewable and Sustainable Energy Reviews, 54, 1622–1631. https://doi.org/10.1016/j.rser.2015.10.131.
    Paper not yet in RePEc: Add citation now
  3. Al‐Mulali, U., Ozturk, I., & Lean, H. H. (2015). The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe. Natural Hazards, 79(1), 621–644. https://doi.org/10.1007/s11069‐015‐1865‐9.

  4. Al‐Mulali, U., Sab, C. N. B. C., & Fereidouni, H. G. (2012). Exploring the bi‐directional long run relationship between urbanization, energy consumption, and carbon dioxide emission. Energy, 46, 156–167. https://doi.org/10.1016/j.energy.2012.08.043.

  5. Al‐Mulali, U., Tang, C. F., & Ozturk, I. (2015). Does financial development reduce environmental degradation? Evidence from a panel study of 129 countries. Environmental Science and Pollution Research, 22, 14891–14900. https://doi.org/10.1007/s11356‐015‐4726‐x.
    Paper not yet in RePEc: Add citation now
  6. Alam, S., & Paramati, S. R. (2015). Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies. Applied Economics, 47(48), 5186–5203.

  7. Ali, H. S., Abdul‐Rahim, A. S., & Ribadu, M. B. (2017). Urbanization and carbon dioxide emissions in Singapore: Evidence from the ARDL approach. Environmental Science and Pollution Research, 24(2), 1967–1974. https://doi.org/10.1007/s11356‐016‐7935‐z.
    Paper not yet in RePEc: Add citation now
  8. Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
    Paper not yet in RePEc: Add citation now
  9. Anselin, L. (2006). Spatial econometric. In T. C. Mills & K. Patterson (Eds.), Palgrave handbook of econometrics econometric theory (Vol. 1) (pp. 901–969). Basingstoke: Palgrave Macmillan.
    Paper not yet in RePEc: Add citation now
  10. Anselin, L., & Florax, R. J. (1995). Small sample properties of tests for spatial dependence in regression models: Some further results. New directions in spatial econometrics (pp. 21–74). Berlin: Springer. https://doi.org/10.1007/978‐3‐642‐79877‐1_2.

  11. Anselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In L. Matyas & P. Sevestre (Eds.), The econometrics of panel data. Fundamentals and recent developments in theory and practice (3rd edition, pp. 627–662). Netherlands: Springer‐Verlag.

  12. Anser, M. K., Alharthi, M., Aziz, B., & Wasim, S. (2020). Impact of urbanization, economic growth, and population size on residential carbon emissions in the SAARC countries. Clean Technologies and Environnemental Policy, 22, 923–936. https://doi.org/10.1007/s10098‐020‐01833‐y.
    Paper not yet in RePEc: Add citation now
  13. Antweiler, W., Copeland, B. R., & Taylor, M. S. (2001). Is free trade good for the environment? American Economic Review, 91(4), 877–908. https://doi.org/10.1257/aer.91.4.877.

  14. Apergis, N., & Payne, J. E. (2010). The emissions, energy consumption, and growth nexus: Evidence from the Commonwealth of Independent States. Energy Policy, 38(1), 650–655. https://doi.org/10.1016/j.enpol.2009.08.029.

  15. Atici, C. (2009). Carbon emissions in Central and Eastern Europe: Environmental Kuznets curve and implications for sustainable development. Sustainable Development, 17, 155–160. https://doi.org/10.1002/sd.372.

  16. Bailey, N., Holly, S., & Pesaran, M. H. (2016). A two‐stage approach to spatiotemporal analysis with strong and weak cross‐sectional dependence. Journal of Applied Econometrics, 31(1), 249–280. https://doi.org/10.1002/jae.2468.
    Paper not yet in RePEc: Add citation now
  17. Bailey, N., Kapetanios, G., & Pesaran, M. H. (2016). Exponent of cross‐sectional dependence: Estimation and inference. Journal of Applied Econometrics, 31(6), 929–960. https://doi.org/10.1002/jae.2476.
    Paper not yet in RePEc: Add citation now
  18. Baltagi, B. H. (2013). Econometric analysis of panel data (5th ed.). Chichester: Wiley.
    Paper not yet in RePEc: Add citation now
  19. Birdsall, N., & Wheeler, D. (1993). Trade policy and industrial pollution in Latin America: Where are the pollution havens? Journal of Environment and Development, 2(1), 137–149. https://doi.org/10.1177/107049659300200107.
    Paper not yet in RePEc: Add citation now
  20. Boutabba, M. A. (2014). The impact of financial development, income, energy and trade on carbon emissions: evidence from the Indian economy. Economic Modelling, 40, 33–41. https://doi.org/10.1016/j.econmod.2014.03.005.

  21. Burridge, P. (1980). On the Cliff–Ord test for spatial autocorrelation. Journal of the Royal Statistical Society Series B‐Statistical Methodology, 42(1), 107–108.
    Paper not yet in RePEc: Add citation now
  22. Burridge, P. (1981). Testing for a common factor in a spatial autoregression model. Environment and Planning A, 13, 795–800. https://doi.org/10.1068/a130795.

  23. Chang, N. (2012). The empirical relationship between openness and environmental pollution in China. Journal of Environmental Planning and Management, 55(6), 783–796. https://doi.org/10.1080/09640568.2011.628087.

  24. Charfeddine, L., & Khediri, K. B. (2016). Financial development and environmental quality in UAE: Cointegration with structural breaks. Renewable and Sustainable Energy Reviews, 55, 1322–1335. https://doi.org/10.1016/j.rser.2015.07.059.

  25. Chebbi, H. E., Olarreaga, M., & Zitouna, H. (2011). Trade openness and CO2 emissions in Tunisia. Middle East Development Journal, 3(1), 29–53.

  26. Chudik, A., & Pesaran, M. H. (2015). Large panel data models with cross‐sectional dependence. In B. H. Baltagi (Ed.), The Oxford handbook of panel data (pp. 3–45). Oxford: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  27. Chudik, A., Pesaran, M. H., & Tosetti, E. (2011). Weak and strong cross‐section dependence and estimation of large panels. The Econometrics Journal, 14, C45–C90. https://doi.org/10.1111/j.1368‐423X.2010.00330.x.

  28. Ciccarelli, C., & Elhorst, J. P. (2018). A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy. Regional Science and Urban Economics, 72, 131–142. https://doi.org/10.1016/j.regsciurbeco.2017.07.003.

  29. Cole, M. A. (2003). Development, trade, and the environment: how robust is the environmental Kuznets curve? Environment and Development Economics, 8(4), 557–580. https://doi.org/10.1017/S1355770X0300305.

  30. Cole, M. A. (2004). Trade, the pollution haven hypothesis and the environmental Kuznets curve: Examining the linkages. Ecological Economics, 48(1), 71–81. https://doi.org/10.1016/j.ecolecon.2003.09.007.

  31. Copeland, B. R., & Taylor, M. S. (2004). Trade, growth and the environment. Journal of Economic Literature, 42(1), 7–71. https://doi.org/10.1257/.42.1.7.

  32. Debarsy, N., & Ertur, C. (2010). Testing for spatial autocorrelation in a fixed effects panel data model. Regional Science and Urban Economics, 40, 453–470. https://doi.org/10.1016/j.regsciurbeco.2010.06.001.

  33. Debarsy, N., Ertur, C., & LeSage, J. P. (2012). Interpreting dynamic space‐time panel data models. Statistical Methodology, 9, 158–171. https://doi.org/10.1016/j.stamet.2011.02.002.
    Paper not yet in RePEc: Add citation now
  34. Dietz, T., & Rosa, E. A. (1997). Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences, 94(1), 175–179. https://doi.org/10.1073/pnas.94.1.175.
    Paper not yet in RePEc: Add citation now
  35. Dinda, S., & Coondoo, D. (2006). Income and emission: A panel data based cointegration analysis. Ecological Economics, 57(2), 167–181. https://doi.org/10.1016/j.ecolecon.2005.03.028.

  36. Dogan, E., & Seker, F. (2016). Determinants of CO2 emissions in the European Union: The role of renewable and non‐renewable energy. Renewable Energy, 94, 429–439. https://doi.org/10.1016/j.renene.2016.03.078.

  37. Dong, Y., Ishikawa, M., Liu, X., & Wang, C. (2010). An analysis of the driving forces of CO2 emissions embodied in Japan–China trade. Energy Policy, 38, 6784–6792. https://doi.org/10.1016/j.enpol.2010.06.050.

  38. Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied Economics, 38(10), 1091–1110. https://doi.org/10.1080/00036840500392078.

  39. Ehrlich, P. R., & Holdren, J. P. (1971). Impact of population growth. Science, 171(3977), 1212–1217. https://doi.org/10.1126/science.171.3977.1212.
    Paper not yet in RePEc: Add citation now
  40. Elhorst, J. P. (2010b). Applied spatial econometrics: raising the bar. Spatial Economic Analysis, 5(1), 9–28. https://doi.org/10.1080/17421770903541772.

  41. Elhorst, J. P. (2012). Dynamic spatial panels: Models, methods, and inferences. Journal of Geographical Systems, 14(1), 5–28. https://doi.org/10.1007/s10109‐011‐0158‐4.

  42. Elhorst, J. P. (2014a). Matlab software for spatial panels. International Regional Science Review, 37(3), 389–405. https://doi.org/10.1177/0160017612452429.

  43. Elhorst, J. P. (2014b). Spatial econometrics: From cross‐sectional data to spatial panels. Heidelberg New York Dordrecht London: Springer.
    Paper not yet in RePEc: Add citation now
  44. Elhorst, J. P., Gross, M., & Tereanu, E. (2018). Spillovers in space and time: Where spatial econometrics and global VAR models meet, working paper series no 2134. Frankfurt: European Central Bank.

  45. Elhorst, J. P., Zandberg, E., & De Haan, J. (2013). The impact of interaction effects among neighbouring countries on financial liberalization and reform: A dynamic spatial panel data approach. Spatial Economic Analysis, 8(3), 293–313. https://doi.org/10.1080/17421772.2012.760136.

  46. Ertugrul, H. M., Cetin, M. F., Seker, F., & Dogan, E. (2016). The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries. Ecological Indicators, 67, 543–555. https://doi.org/10.1016/j.ecolind.2016.03.027.

  47. Esty, D. (2001). Bridging the trade‐environment divide. Journal of Economic Perspectives, 15(3), 113–130. https://doi.org/10.1257/jep.15.3.113.
    Paper not yet in RePEc: Add citation now
  48. Farhani, S., Chaibi, A., & Rault, C. (2014). CO2 emissions, output, energy consumption, and trade in Tunisia. Economic Modelling, 38, 426–434. https://doi.org/10.1016/j.econmod.2014.01.025.

  49. Florax, R. J. G. M., Folmer, H., & Rey, S. J. (2003). Specification searches in spatial econometrics: The relevance of Hendry's methodology. Regional Science and Urban Economics, 33(5), 557–579. https://doi.org/10.1016/S0166‐0462(03)00002‐4.

  50. Frankel, J.A., and Rose, A.K. (2005). Is trade good or bad for the environment? Sorting out the causality. NBER Working Paper 9021.

  51. Frees, E. W. (1995). Assessing cross‐sectional correlation in panel data. Journal of Econometrics, 69, 393–414. https://doi.org/10.1016/0304‐4076(94)01658‐M.
    Paper not yet in RePEc: Add citation now
  52. Gökmenoğlu, K., & Taspinar, N. (2016). The relationship between CO2 emissions, energy consumption, economic growth and FDI: The case of Turkey. The Journal of International Trade & Economic Development, 25(5), 706–723. https://doi.org/10.1080/09638199.2015.1119876.
    Paper not yet in RePEc: Add citation now
  53. Gözgör, G. (2017). Does trade matter for carbon emissions in OECD countries? Evidence from a new trade openness measure. Environmental Science and Pollution Research, 24(36), 27813–27821. https://doi.org/10.1007/s11356‐017‐0361‐z.
    Paper not yet in RePEc: Add citation now
  54. Grossman, G. M., & Krueger, A. B. (1993). Environmental impacts of a North American free trade agreement. In P. Garber (Ed.), The Mexico–U.S. free trade agreement (pp. 361–381). Cambridge: MIT Press.
    Paper not yet in RePEc: Add citation now
  55. Halicioglu, F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3), 1156–1164. https://doi.org/10.1016/j.enpol.2008.11.012.

  56. Halleck‐Vega, S. M., & Elhorst, J. P. (2016). A regional unemployment model simultaneously accounting for serial dynamics and strong cross‐sectional dependence. Regional Science and Urban Economics, 60, 85–95. https://doi.org/10.1016/j.regsciurbeco.2016.07.002.
    Paper not yet in RePEc: Add citation now
  57. Hausman, J. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1271. https://doi.org/10.2307/1913827.

  58. Hossain, M. S. (2011). Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries. Energy Policy, 39(11), 6991–6999. https://doi.org/10.1016/j.enpol.2011.07.042.

  59. Iwata, H., Okada, K., & Samreth, S. (2012). Empirical study on the determinants of CO2 emissions: Evidence from OECD countries. Applied Economics, 44(27), 3513–3519. https://doi.org/10.1080/00036846.2011.577023.

  60. Jalil, A., & Feridun, M. (2011). The impact of growth, energy and financial development on the environment in China: a cointegration analysis. Energy Economics, 33, 284–291. https://doi.org/10.1016/j.eneco.2010.10.003.

  61. Jalil, A., & Mahmud, S. F. (2009). Environment Kuznets curve for CO2 emissions: A cointegration analysis for China. Energy Policy, 37(12), 5167–5172. https://doi.org/10.1016/j.enpol.2009.07.044.

  62. Jayanthakumaran, K., Verma, R., & Liu, Y. (2012). CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India. Energy Policy, 42, 450–460. https://doi.org/10.1016/j.enpol.2011.12.010.

  63. Jebli, M. B., & Youssef, S. B. (2015). The environmental Kuznets curve, economic growth, renewable and non‐renewable energy and trade in Tunisia. Renewable and Sustainable Energy Reviews, 47, 173–185. https://doi.org/10.1016/j.rser.2015.02.049.
    Paper not yet in RePEc: Add citation now
  64. Jebli, M. B., Youssef, S. B., & Ozturk, I. (2016). Testing environmental Kuznets curve hypothesis: The role of renewable and non‐renewable energy consumption and trade in OECD countries. Ecological Indicators, 60, 824–831. https://doi.org/10.1016/j.ecolind.2015.08.031.
    Paper not yet in RePEc: Add citation now
  65. Kang, Y. Q., Zhao, T., & Yang, Y. Y. (2016). Environmental Kuznets curve for CO2 emissions in China: A spatial panel data approach. Ecological Indicators, 63, 231–239. https://doi.org/10.1016/j.ecolind.2015.12.011.
    Paper not yet in RePEc: Add citation now
  66. Kanjilal, K., & Ghosh, S. (2013). Environmental Kuznets curve for India: Evidence from tests for cointegration with unknown structural breaks. Energy Policy, 56, 509–515. https://doi.org/10.1016/j.enpol.2013.01.015.

  67. Kapetanios, G., Pesaran, H. M., & Yamagata, T. (2011). Panel with non‐stationary multifactor error structure. Journal of Econometrics, 160(2), 326–348. https://doi.org/10.1016/j.jeconom.2010.10.001.
    Paper not yet in RePEc: Add citation now
  68. Kasman, A., & Duman, Y. S. (2015). CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis. Economic Modelling, 44, 97–103. https://doi.org/10.1016/j.econmod.2014.10.022.

  69. Kearsley, A., & Riddel, M. (2010). A further inquiry into the pollution haven hypothesis and the environmental Kuznets curve. Ecological Economics, 69(4), 905–919. https://doi.org/10.1016/j.ecolecon.2009.11.014.

  70. Kerr, D., & Mellon, H. (2012). Energy, population and the environment: Exploring Canada's record on CO2 emissions and energy use relative to other OECD countries. Population and Environment, 34, 257–278. https://doi.org/10.1007/s11111‐011‐0160‐2.
    Paper not yet in RePEc: Add citation now
  71. Khalil, S., & Inam, Z. (2006). Is trade good for environment? A unit root cointegration analysis. The Pakistan Development Review, 45(4), 1187–1196. https://doi.org/10.30541/v45i4IIpp.1187‐1196.

  72. Kohler, M. (2013). CO2 emissions, energy consumption, income and foreign trade: A South African perspective. Energy Policy, 63, 1042–1050. https://doi.org/10.1016/j.enpol.2013.09.022.

  73. Korniotis, G. M. (2010). Estimating panel models with internal and external habit formation. Journal of Business and Economic Statistics, 28(1), 145–158. https://doi.org/10.1198/jbes.2009.08041.

  74. Kwon, T. H. (2005). Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970–2000). Ecological Economics, 53(2), 261–275. https://doi.org/10.1016/j.ecolecon.2004.06.028.

  75. Lau, L. S., Choong, C. K., & Eng, Y. K. (2014). Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: Do foreign direct investment and trade matter? Energy Policy, 68, 490–497. https://doi.org/10.1016/j.enpol.2014.01.002.

  76. Le, T. H., Chang, Y., & Park, D. (2016). Trade openness and environmental quality: International evidence. Energy Policy, 92, 45–55. https://doi.org/10.1016/j.enpol.2016.01.030.

  77. Lee, L.‐F., & Yu, J. (2010a). A spatial dynamic panel data model with both time and individual fixed effects. Econometric Theory, 26, 564–597. https://doi.org/10.1017/S0266466609100099.

  78. Lee, L.‐F., & Yu, J. (2010b). Some recent developments in spatial panel data models. Regional Science and Urban Economics, 40(5), 255–271. https://doi.org/10.1016/j.regsciurbeco.2009.09.002.

  79. LeSage, J. P., & Fischer, M. M. (2008). Spatial growth regressions: Model specification, eEstimation and interpretation. Spatial Economic Analysis, 3(3), 275–304. https://doi.org/10.1080/17421770802353758.

  80. LeSage, J. P., & Pace, R. K. (2009). Introduction to spatial econometrics. New York: CRC Press.
    Paper not yet in RePEc: Add citation now
  81. LeSage, J. P., & Pace, R. K. (2014). The biggest myth in spatial econometrics. Econometrics, 2, 217–249. https://doi.org/10.3390/econometrics2040217.

  82. Li, T, Wang, Y, & Zhao, D (2016). Environmental Kuznets curve in China: New evidence from dynamic panel analysis. Energy Policy, 91, 138–147. https://doi.org/10.1016/j.enpol.2016.01.002.

  83. Liddle, B. (2013). Population, affluence, and environmental impact across development: Evidence from panel cointegration modeling. Environmental Modelling and Software, 40, 255–266. https://doi.org/10.1016/j.envsoft.2012.10.002.

  84. Lopez, R., Galinato, G., & Islam, A. (2007). Government expenditures and air pollution. Working Paper. University of Maryland.
    Paper not yet in RePEc: Add citation now
  85. Lv, Z., & Xu, T. (2019). Trade openness, urbanization and CO2 emissions: Dynamic panel data analysis of middle‐income countries. The Journal of International Trade & Economic Development, 28(3), 317–330. https://doi.org/10.1080/09638199.2018.1534878.

  86. Managi, S. (2004). Trade liberalization and the environment: Carbon dioxide for 1960‐1999. Economics Bulletin, 17(1), 1–5.

  87. Managi, S., Hibiki, A., & Tsurumi, T. (2009). Does trade openness improve environmental quality? Journal of Environmental Economics and Management, 58(3), 346–363. https://doi.org/10.1016/j.jeem.2009.04.008.

  88. Marquardt, D. W. (1970). Generalized inverses, ridge regression, biased linear estimation, and non‐linear estimation. Technometrics, 12, 591–613. https://doi.org/10.2307/1267205.
    Paper not yet in RePEc: Add citation now
  89. Marquardt, D. W. (1987). Collinearity and least squares regression: Comment. Statistical Science, 2(1), 84–85. https://doi.org/10.1214/ss/1177013440.
    Paper not yet in RePEc: Add citation now
  90. Martínez‐Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. Ecological Economics, 70(7), 1344–1353. https://doi.org/10.1016/j.ecolecon.2011.02.009.

  91. Martínez‐Zarzoso, I., Bengochea‐Morancho, A., & Morales‐Lage, R. (2007). The impact of population on CO2 emissions: Evidence from European countries. Environmental and Resource Economics, 38, 497–512. https://doi.org/10.1007/s10640‐007‐9096‐5.
    Paper not yet in RePEc: Add citation now
  92. Mason, C., & Perreault, W. D. (1991). Collinearity, power, and interpretation of multiple regression analysis. Journal of Marketing Research, 28(3), 268–280. https://doi.org/10.1177/002224379102800302.
    Paper not yet in RePEc: Add citation now
  93. Meng, B., Wang, J., Andrew, R., Xiao, H., Xue, J., & Peters, G. P. (2017). Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010. Energy Economics, 63, 161–173. https://doi.org/10.1016/j.eneco.2017.02.001.

  94. Meng, L., & Huang, B. (2017). Shaping the relationship between economic development and carbon dioxide emissions at the local level: Evidence from spatial econometric models. Environmental and Resource Economics, 71(1), 127–156.
    Paper not yet in RePEc: Add citation now
  95. Miah, M. D., Masum, M. F. H., & Koike, M. (2010). Global observation of EKC hypothesis for CO2, SOx and NOx emission: A policy understanding for climate change mitigation in Bangladesh. Energy Policy, 38(8), 4643–4651. https://doi.org/10.1016/j.enpol.2010.04.022.

  96. Millo, G. (2017). A simple randomization test for spatial correlation in the presence of common factors and serial correlation. Regional Science and Urban Economics, 66, 28–38. https://doi.org/10.1016/j.regsciurbeco.2017.05.004.

  97. Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. https://doi.org/10.1093/biomet/37.1‐2.17.
    Paper not yet in RePEc: Add citation now
  98. Mur, J., & Angulo, A. (2006). The spatial Durbin model and the common factor tests. Spatial Economic Analysis, 1(2), 207–226. https://doi.org/10.1080/17421770601009841.

  99. Mur, J., & Angulo, A. (2009). Model selection strategies in a spatial setting: Some additional results. Regional Science and Urban Economics, 39(2), 200–213. https://doi.org/10.1016/j.regsciurbeco.2008.05.018.

  100. Mutascu, M. (2018). A time‐frequency analysis of trade openness and CO2 emissions in France. Energy Policy, 115, 443–455. https://doi.org/10.1016/j.enpol.2018.01.034.
    Paper not yet in RePEc: Add citation now
  101. Mutascu, M., & Sokic, A. (2020). Trade openness: CO2 emissions nexus: A wavelet evidence from EU. Environmental Modeling & Assessment, 25, 411–428. https://doi.org/10.1007/s10666‐020‐09689‐8.
    Paper not yet in RePEc: Add citation now
  102. Nasir, M., & Rehman, F. (2011). Environmental Kuznets curve for carbon emissions in Pakistan: An empirical investigation. Energy Policy, 39, 1857–1864. https://doi.org/10.1016/j.enpol.2011.01.025.

  103. O'Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality and Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135‐006‐9018‐6.
    Paper not yet in RePEc: Add citation now
  104. Onafowora, O. A., & Owoye, O. (2014). Bounds testing approach to analysis of the environment Kuznets curve hypothesis. Energy Economics, 44, 47–62. https://doi.org/10.1016/j.eneco.2014.03.025.

  105. Ozturk, I., & Acaravci, A. (2013). The long‐run and causal analysis of energy growth, openness and financial development on carbon emissions in Turkey. Energy Economics, 36, 262–267. https://doi.org/10.1016/j.eneco.2012.08.025.
    Paper not yet in RePEc: Add citation now
  106. Parikh, J., & Shukla, V. (1995). Urbanization, energy use and greenhouse effects in economic development: results from a cross‐national study of developing countries. Global Environmental Change, 5(2), 87–103. https://doi.org/10.1016/0959‐3780(95)00015‐G.
    Paper not yet in RePEc: Add citation now
  107. Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74, 967–1012. https://doi.org/10.1111/j.1468‐0262.2006.00692.x.

  108. Pesaran, M. H. (2015a). Testing weak cross‐sectional dependence in large panels. Econometric Reviews, 34(6–10), 1088–1116.
    Paper not yet in RePEc: Add citation now
  109. Pesaran, M. H. (2015b). Time series and panel data econometrics. Oxford: Oxford University Press.

  110. Pesaran, M. H., Smith, L. V., & Yamagata, T. (2013). Panel unit root tests in the presence of a mulitfactor error structure. Journal of Econometrics, 175, 94–115. https://doi.org/10.1016/j.jeconom.2013.02.001.

  111. Poumanyvong, P., & Kaneko, S. (2010). Does urbanization lead to less energy use and lower CO2 emissions? A cross‐country analysis. Ecological Economics, 70, 434–444. https://doi.org/10.1016/j.ecolecon.2010.09.029.

  112. Rafiq, S., Salim, R., & Apergis, N. (2015). Agriculture, trade openness and emissions: an empirical analysis and policy options. The Australian Journal of Agricultural and Resource Economics, 60(3), 348–365.
    Paper not yet in RePEc: Add citation now
  113. Rafiq, S., Salim, R., & Nielsen, I. (2016). Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies. Energy Economics, 56, 20–28. https://doi.org/10.1016/j.eneco.2016.02.007.

  114. Rey, S. J. (2001). Spatial empirics for regional economic growth and convergence. Geographical Analysis, 33(3), 195–214.
    Paper not yet in RePEc: Add citation now
  115. Sadorsky, P. (2014). The effect of urbanization on CO2 emissions in emerging economies. Energy Economics, 41, 147–153. https://doi.org/10.1016/j.eneco.2013.11.007.

  116. Sarafidis, V., & Wansbeek, T. J. (2012). Cross‐sectional dependence in panel data analysis. Econometric Reviews, 31(5), 483–531. https://doi.org/10.1080/07474938.2011.611458.
    Paper not yet in RePEc: Add citation now
  117. Shahbaz, M, Sbia, R, Hamdi, H, & Ozturk, I (2014). Economic growth, electricity consumption, urbanization andenvironmental degradation relationship in United Arab Emirates. Ecological Indicators, 45, 622–631. https://doi.org/10.1016/j.ecolind.2014.05.022.

  118. Shahbaz, M., Adnan Hye, Q. M. A., Tiwari, A. K., & Leitão, N. C. (2013). Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renewable and Sustainable Energy Reviews, 25, 109–121. https://doi.org/10.1016/j.rser.2013.04.009.

  119. Shahbaz, M., Khan, S., Ali, A., & Bhattacharya, M. (2017). The impact of globalization on CO2 emissions in China. Singapore Economic Review, 62(3). 1740033–1 1740033–29.
    Paper not yet in RePEc: Add citation now
  120. Shahbaz, M., Khraief, N., Uddin, G. S., & Ozturk, I. (2014). Environmental Kuznets curve in an open economy: A bounds testing and causality analysis for Tunisia. Renewable and Sustainable Energy Reviews, 34, 325–336. https://doi.org/10.1016/j.rser.2014.03.022.

  121. Shahbaz, M., Lean, H. H., & Shabbir, M. S. (2012). Environmental Kuznets curve hypothesis in Pakistan: Cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16(5), 2947–2953. https://doi.org/10.1016/j.rser.2012.02.015.

  122. Shahbaz, M., Loganathan, N., Muzaffar, A. T., Ahmed, K., & Jabran, M. A. (2016). How urbanization affects CO2 emissions in Malaysia? The Application of STIRPAT Model. Renewable and Sustainable Energy Reviews, 57, 83–93. https://doi.org/10.1016/j.rser.2015.12.096.

  123. Shahbaz, M., Mallick, H., Mahalik, M. K., & Loganathan, N. (2015). Does globalization impede environmental quality in India? Ecological Indicators, 52, 379–393. https://doi.org/10.1016/j.ecolind.2014.12.025.

  124. Shahbaz, M., Nasreen, S., Ahmed, K., & Hammoudeh, S. (2017). Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels. Energy Economics, 61, 221–232. https://doi.org/10.1016/j.eneco.2016.11.008.

  125. Shahbaz, M., Tiwari, A. K., & Nasir, M. (2013). The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy, 61, 1452–1459. https://doi.org/10.1016/j.enpol.2013.07.006.

  126. Sharma, S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied Energy, 88(1), 376–382. https://doi.org/10.1016/j.apenergy.2010.07.022.

  127. Shi, A. Q. (2003). The impact of population pressure on global carbon dioxide emissions, 1975–1996: Evidence from pooled cross‐country data. Ecological Economics, 44(1), 29–42. https://doi.org/10.1016/S0921‐8009(02)00223‐9.

  128. Sohag, K., Al Mamun, M., Salah Uddin, G., & Ahmed, A. M. (2017). Sectoral output, energy use, and CO2 emission in middle‐income countries. Environmental Science and Pollution Research, 24, 9754–9764. https://doi.org/10.1007/s11356‐017‐8599‐z.
    Paper not yet in RePEc: Add citation now
  129. Sun, H., Clottey, S. A., Geng, Y., Fang, K., & Amissah, J. C. K. (2019). Trade openness and carbon emissions: Evidence from belt and road countries. Sustainability, 11(9), 1–20.

  130. Tiwari, A., Mutascu, M., & Andries, A. (2013). Decomposing time‐frequency relationship between producer price and consumer price indices in Romania through wavelet analysis. Economic Modelling, 31, 151–159. https://doi.org/10.1016/j.econmod.2012.11.057.

  131. Tran, N. V. (2020). The environmental effects of trade openness in developing countries: Conflict or cooperation? Environmental Science and Pollution Research, 27, 19783–19797. https://doi.org/10.1007/s11356‐020‐08352‐9.
    Paper not yet in RePEc: Add citation now
  132. Wang, P., Wu, W. S., Zhu, B. Z., & Wei, Y. M. (2013). Examining the impact factors of energy related CO2 emissions using the STIRPAT model in Guangdong Province, China. Applied Energy, 106, 65–71. https://doi.org/10.1016/j.apenergy.2013.01.036.

  133. Yao, C. R., Feng, K. S., & Hubacek, K. (2015). Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2010. Ecological Informatics, 26, 93–100. https://doi.org/10.1016/j.ecoinf.2014.02.003.
    Paper not yet in RePEc: Add citation now
  134. York, R., Rosa, E. A., & Dietz, T. (2003). STIRPAT, IPAT and ImPACT: Analytic tools for unpacking the driving forces of environmental impacts. Ecological Economics, 46(3), 351–365. https://doi.org/10.1016/S0921‐8009(03)00188‐5.

  135. You, W., & Lv, Z. (2018). Spillover effects of economic globalization on CO2 emissions: A spatial panel approach. Energy Economics, 73, 248–257. https://doi.org/10.1016/j.eneco.2018.05.016.

  136. Yu, C., Nataliia, D., Yoo, S.‐J., & Hwang, Y.‐S. (2019). Does trade openness convey a positive impact for the environmental quality? Evidence from a panel of CIS countries. Eurasian Geography and Economics, 60(3), 333–356. https://doi.org/10.1080/15387216.2019.1670087.
    Paper not yet in RePEc: Add citation now
  137. Yu, J., de Jong, R., & Lee, L.‐f. (2008). Quasi‐maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large. Journal of Econometrics, 146, 118–134. https://doi.org/10.1016/j.jeconom.2008.08.002.

  138. Yu, J., de Jong, R., & Lee, L.‐f. (2012). Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration. Journal of Econometrics, 167, 16–37. https://doi.org/10.1016/j.jeconom.2011.05.014.

  139. Zhang, N., Yu, K., & Chen, Z. (2017). How does urbanization affect carbon dioxide emissions? A cross‐country panel data analysis. Energy Policy, 107, 678–687. https://doi.org/10.1016/j.enpol.2017.03.072.

  140. Zhang, Q., Yang, J., Sun, Z., & Wu, F. (2017). Analyzing the impact factors of energy‐related CO2 emissions in China: What can spatial panel regressions tell us? Journal of Cleaner Production, 161(10), 1085–1093. https://doi.org/10.1016/j.jclepro.2017.05.071.
    Paper not yet in RePEc: Add citation now
  141. Zhang, S., Liu, X., & Bae, J. (2017). Does trade openness affect CO2 emissions: Evidence from ten newly industrialized countries? Environmental Science and Pollution Research, 24(21), 17616–17625. https://doi.org/10.1007/s11356‐017‐9392‐8.
    Paper not yet in RePEc: Add citation now
  142. Zhao, X., Burnett, J. W., & Fletcher, J. J. (2014). Spatial analysis of China province‐level CO2 emission intensity. Renewable and Sustainable Energy Reviews, 33, 1–10. https://doi.org/10.1016/j.rser.2014.01.060.
    Paper not yet in RePEc: Add citation now

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