Table 3. Turning points reached earlier studies by pollutant type.
Pollutant types | Study | Datasets | Period | Econometric techniques | Turning points |
---|---|---|---|---|---|
CO2 emission | 173 countries | 1990–2014 | Error correction model | (402,125.361 US$) | |
CO2 emission | 20 countries | 1870–2014 | Bivariate model | $18,955 and $89,540 (in 1990 US$) | |
CO2 emission | 128 countries | 1990–2014 | cross-sectional dependence and slope homogeneity tests | Significant | |
CO2 emission | 141 countries | 1970–2014 | Spatial Green Solow model | Statistically significant | |
CO2 emission | India | 1970–2015 | autoregressive distributed lag (ARDL) | USD 2937.77 | |
Renewable energy | Pakistan | 1970–2014 | autoregressive distributed lag (ARDL) | Significant | |
CO2 emission | 27 Chinese cities | 2001–2005 | Panel data parameter estimation | 34,328 CNY and 47,669 CNY | |
Industrial CO2 emission | USA | 1973–2015 | multilevel mixed-effect | Significant | |
CO2 emission | China | 1995–2011 | Input-output analysis | Significant | |
Fuel energy consumption | East Asian and Pacific countries | 1990–2014 | Generalized Method of Moment (GMM) | $5112.65 |
Sources: Authors’ compiling by the literature review