Corporate pollution control strategies and labor demand: evidence from China’s manufacturing sector

Small-scale industrial enterprises play a highly important role in the development of countries such as India and China since they tend to be labour-intensive, contribute to decentralised industrial development, and are flexible and responsive to emerging demands. However they also often use outdated and highly polluting technologies and, operating in very competitive environments, have very limited financial reserves to invest in “non-productive” pollution control technologies. There has been very little research anywhere into low-cost pollution-control technologies or more applicable pollution control strategies for this sector.

Download Full-text

Sources of PM<sub>2.5</sub> carbonaceous aerosol in Riyadh, Saudi Arabia

10.5194/acp-2017-829 ◽

2017 ◽

Author(s):

Qijing Bian ◽

Badr Alharbi ◽

Mohammed M. Sharee ◽

Tahir Husai ◽

Mohammad J. Pasha ◽

...

Keyword(s):

Saudi Arabia ◽

Air Quality ◽

Organic Carbon ◽

Pollution Control ◽

Elemental Carbon ◽

Control Strategies ◽

Continuous Method ◽

Carbonaceous Aerosol ◽

Abstract Knowledge ◽

The City

Abstract. Knowledge of the sources of carbonaceous aerosol affecting air quality in Riyadh, Saudi Arabia is limited, but needed for the development of pollution control strategies. We conducted sampling of PM2.5 from April to September, 2012 at various sites in the city, and used a thermo-optical semi-continuous method to quantify the organic carbon (OC) and elemental carbon (EC) concentrations. The average OC and EC concentrations were 4.7 ± 4.4 and 2.1 ± 2.5 μg m

Download Full-text

Modelling chloride-discharge relationships in Krishna river basin

Water Science & Technology ◽

10.2166/wst.2003.0424 ◽

2003 ◽

Vol 48 (7) ◽

pp. 57-63 ◽

Cited By ~ 3

Author(s):

M.C. Sekhar ◽

Ch. Indira

Keyword(s):

River Basin ◽

Pollution Control ◽

South India ◽

Control Strategies ◽

Linear Regression Analysis ◽

Large River ◽

Model Parameters ◽

Source Contributions ◽

Monitoring Stations

Chloride discharge relationships at several monitoring stations on the River Krishna in South India are investigated, both qualitatively and quantitatively, to identify probable source contributions. The chloride behaviour along the waterway is studied in detail to assess the source contributions at various monitoring stations falling within the study area. Seasonal variations in the intensity of rainfall cause wide variations in the quality of the River Krishna. As there is strong seasonal dependence between the flow in the river and chlorides, seasonal models are developed for prediction of concentrations and loads. Linear regression analysis is carried out to determine the model parameters. The predicted concentrations and loads are in agreement with the observed values within the uncertainty of data. As the area is characterized by distinct dry and wet seasons (based on rainfall distribution over the year), mass balances are used to differentiate between point and non-point source contributions to the river. In large river basins, monitoring all individual sources is difficult and/or impossible and expensive; hence the presented approach based on receiving water quality and flow serves as an alternative for modeling chlorides in the river basin. Results of the study can be used to emphasise water pollution control strategies.

Download Full-text

Determination of optimal air pollution control strategies

Socio-Economic Planning Sciences ◽

10.1016/0038-0121(71)90028-0 ◽

1971 ◽

Vol 5 (3) ◽

pp. 173-190 ◽

Cited By ~ 24

Author(s):

John H. Seinfeld ◽

Chwan P. Kyan

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Control Strategies ◽

Air Pollution Control

Download Full-text

Trade Openness: New Evidence for Labor-Demand Elasticity in Pakistan’s Manufacturing Sector

THE LAHORE JOURNAL OF ECONOMICS ◽

10.35536/lje.2011.v16.i2.a3 ◽

2011 ◽

Vol 16 (2) ◽

pp. 55-85 ◽

Cited By ~ 2

Author(s):

Bushra Yasmin ◽

Aliya H. Khan

Keyword(s):

Labor Market ◽

Trade Liberalization ◽

Fixed Effects ◽

Manufacturing Sector ◽

Labor Demand ◽

Ordinary Least Squares ◽

Demand Elasticity ◽

Fixed Effects Model ◽

Trade Theory ◽

Employment Conditions

This study is an attempt to investigate trade–labor market linkages in Pakistan. Our main hypothesis that trade liberalization leads to an increase in labor-demand elasticity is empirically verified using a panel data approach for the period 1970/71–2000/01 for 22 selected manufacturing industries in Pakistan. We use ordinary least squares to estimate models in levels and first-differences, in addition to a fixed effects model. Overall, our findings suggest weak evidence of increased labor-demand elasticity as a result of trade liberalization in Pakistan’s manufacturing sector. Nor does the study find support for a positive labor market and trade linkage from an employment point of view—as otherwise suggested by standard trade theory. This may be due to increased capital intensity in the manufacturing sector by time, and the infusion of new technology. It could also be attributed to labor market imperfections preventing trade liberalization from favorably influencing employment conditions in Pakistan. Our policy recommendations based on the study’s results stress the need for skill enhancement measures to increase labor productivity, helping it become competitive according to the demands of globalization.

Download Full-text

The role of meteorological conditions and pollution control strategies in reducing air pollution in Beijing during APEC 2014 and Victory Parade 2015

Atmospheric Chemistry and Physics ◽

10.5194/acp-17-13921-2017 ◽

2017 ◽

Vol 17 (22) ◽

pp. 13921-13940 ◽

Cited By ~ 33

Author(s):

Pengfei Liang ◽

Tong Zhu ◽

Yanhua Fang ◽

Yingruo Li ◽

Yiqun Han ◽

...

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Air Pollutants ◽

Meteorological Parameters ◽

Control Strategies ◽

Meteorological Conditions ◽

Air Pollutant ◽

Pollutant Concentrations ◽

Air Pollutant Concentrations

Abstract. To control severe air pollution in China, comprehensive pollution control strategies have been implemented throughout the country in recent years. To evaluate the effectiveness of these strategies, the influence of meteorological conditions on levels of air pollution needs to be determined. Using the intensive air pollution control strategies implemented during the Asia-Pacific Economic Cooperation Forum in 2014 (APEC 2014) and the 2015 China Victory Day Parade (Victory Parade 2015) as examples, we estimated the role of meteorological conditions and pollution control strategies in reducing air pollution levels in Beijing. Atmospheric particulate matter of aerodynamic diameter  ≤ 2.5 µm (PM2.5) samples were collected and gaseous pollutants (SO2, NO, NOx, and O3) were measured online at a site in Peking University (PKU). To determine the influence of meteorological conditions on the levels of air pollution, we first compared the air pollutant concentrations during days with stable meteorological conditions. However, there were few days with stable meteorological conditions during the Victory Parade. As such, we were unable to estimate the level of emission reduction efforts during this period. Finally, a generalized linear regression model (GLM) based only on meteorological parameters was built to predict air pollutant concentrations, which could explain more than 70 % of the variation in air pollutant concentration levels, after incorporating the nonlinear relationships between certain meteorological parameters and the concentrations of air pollutants. Evaluation of the GLM performance revealed that the GLM, even based only on meteorological parameters, could be satisfactory to estimate the contribution of meteorological conditions in reducing air pollution and, hence, the contribution of control strategies in reducing air pollution. Using the GLM, we found that the meteorological conditions and pollution control strategies contributed 30 and 28 % to the reduction of the PM2.5 concentration during APEC and 38 and 25 % during the Victory Parade, respectively, based on the assumption that the concentrations of air pollutants are only determined by meteorological conditions and emission intensities. We also estimated the contribution of meteorological conditions and control strategies in reducing the concentrations of gaseous pollutants and PM2.5 components with the GLMs, revealing the effective control of anthropogenic emissions.

Download Full-text

The Role of Meteorological Conditions and Pollution Control Strategies in Reducing Air Pollution in Beijing during APEC 2014 and Parade 2015

10.5194/acp-2017-456 ◽

2017 ◽

Author(s):

Pengfei Liang ◽

Tong Zhu ◽

Yanhua Fang ◽

Yingruo Li ◽

Yiqun Han ◽

...

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Meteorological Parameters ◽

Control Strategies ◽

Meteorological Conditions ◽

Air Pollutant ◽

Pollutant Concentrations ◽

Air Pollutant Concentrations ◽

Pm2.5 Concentration

Abstract. To control severe air pollution in China, comprehensive pollution control strategies have been implemented throughout the country in recent years. To evaluate the effectiveness of these strategies, the influence of meteorological conditions on levels of air pollution needs to be determined. We therefore developed a generalized linear regression model (GLM) to establish the relationship between the concentrations of air pollutants and meteorological parameters. Using the intensive air pollution control strategies implemented during the Asia-Pacific Economic Cooperation Forum in 2014 (APEC 2014) and the Victory Parade for the Commemoration of the 70th Anniversary of the Chinese Anti-Japanese War and the World Anti-Fascist War in 2015 (Parade 2015) as examples, we estimated the role of meteorological conditions and pollution control strategies in reducing air pollution levels in Beijing. During the APEC (1 October to 31 December 2014) and Parade (1 August to 31 December 2015) sampling periods, atmospheric particulate matter of aerodynamic diameter ≤ 2.5 μm (PM2.5) samples were collected and gaseous pollutants (SO2, NO, NOx, and O3) were measured online at a site in Peking University (PKU). The concentrations of all pollutants except ozone decreased dramatically (by more than 20 %) during both events, compared with the levels during non-control periods. To determine the influence of meteorological conditions on the levels of air pollution, we first compared the air pollutant concentrations during days with stable meteorological conditions (i.e. when the daily average wind speed (WS) was less than 2.50 m s−1 and planetary boundary layer (PBL) height was lower than 290 m). We found that the average PM2.5 concentration during APEC decreased by 45.7 % compared with the period before APEC and by 44.4 % compared with the period after APEC. This difference was attributed to emission reduction efforts during APEC. However, there were few days with stable meteorological conditions during Parade. As such, we were unable to estimate the level of emission reduction efforts during this period. Finally, GLMs based only on meteorological parameters were built to predict air pollutant concentrations, which could explain more than 70 % of the variation in air pollutant concentration levels, after incorporating the nonlinear relationships between certain meteorological parameters and the concentrations of air pollutants. Evaluation of the GLM performance revealed that the GLM, even based only on meteorological parameters, could be satisfactory to estimate the contribution of meteorological conditions in reducing air pollution, and hence the contribution of control strategies in reducing air pollution. Using the GLM, we found that the meteorological conditions and pollution control strategies contributed 30 % and 28 % to the reduction of the PM2.5 concentration during APEC 2014, and 38 % and 25 % during Parade 2015. We also estimated the contribution of meteorological conditions and control strategies implemented during the two events in reducing the concentrations of gaseous pollutants and PM2.5 components with the GLMs, revealing the effective control of anthropogenic emissions.

Download Full-text