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As the largest scale payment for ecosystem services program in the developing world, one of the key objectives of the Sloping Land Conversion Program (the SLCP) is to increase rural households' income and to reallocate their employments. This paper estimates the effects of the SLCP on rural households' income and employment changes using the unique panel dataset of 1001 rural households in six provinces from 1995 to 2014. Following a strict parallel trend and other econometrics tests, the Propensity score matching-Difference-in-differences (PSM-DID) estimation technique was used. Based on the unique panel dataset, this paper expands upon existing studies by estimating the effects of mid-to-long-term and subsidy scheme adjustment of the SLCP on rural households' income and employment. Our empirical results indicate that 1) the SLCP has no significant effect on rural households’ total income, while it has a negative effect on farm income. 2) The SLCP has a positive effect on forestry labor input. 3) Half reduction subsidy of the SLCP has caused different effects on rural households’ income and employment compared with that before policy adjustment. 4) The income effects of the SLCP are indifferent by income, location, demographic or resource endowment sub groups. Policy decision-makers should pay more attention to create more off-farm opportunities for rural households enrolled in the SLCP to maintain the achievements of the SLCP.
Lingchao Li; Can Liu; Jinlong Liu; Baodong Cheng. Has the Sloping Land Conversion Program in China impacted the income and employment of rural households? Land Use Policy 2021, 109, 105648 .
AMA StyleLingchao Li, Can Liu, Jinlong Liu, Baodong Cheng. Has the Sloping Land Conversion Program in China impacted the income and employment of rural households? Land Use Policy. 2021; 109 ():105648.
Chicago/Turabian StyleLingchao Li; Can Liu; Jinlong Liu; Baodong Cheng. 2021. "Has the Sloping Land Conversion Program in China impacted the income and employment of rural households?" Land Use Policy 109, no. : 105648.
With the rapid development of the economy, corporate social responsibility (CSR) is receiving increasing attention from companies themselves, but also increasing attention from society as a whole. How to reasonably evaluate the performance of CSR is a current research hotspot. Existing corporate-social-responsibility evaluation methods mostly focus on the static evaluation of enterprises in the industry, and do not take the time factor into account, which cannot reflect the performance of long-term CSR. On this basis, this article proposes a time-based entropy method that can evaluate long-term changes in CSR. Studies have shown that the completion of CSR in a static state does not necessarily reflect the dynamic and increasing trend of CSR in the long term. Therefore, the assessment of CSR should consider both the static and dynamic aspects of a company. In addition, the research provides the focus of different types of forestry enterprises in fulfilling CSR in the long term, and provides a clearer information path for the standard identification and normative constraints of different types of forestry enterprises CSR.
Xinfei Li; Baodong Cheng; Heng Xu. Time-Based Corporate-Social-Responsibility Evaluation Model Taking Chinese Listed Forestry Companies as an Example. Sustainability 2021, 13, 7971 .
AMA StyleXinfei Li, Baodong Cheng, Heng Xu. Time-Based Corporate-Social-Responsibility Evaluation Model Taking Chinese Listed Forestry Companies as an Example. Sustainability. 2021; 13 (14):7971.
Chicago/Turabian StyleXinfei Li; Baodong Cheng; Heng Xu. 2021. "Time-Based Corporate-Social-Responsibility Evaluation Model Taking Chinese Listed Forestry Companies as an Example." Sustainability 13, no. 14: 7971.
Based on the panel data of 216 prefecture-level cities in China from 2003 to 2016, this study selected five emission-reduction indicators (industrial SO2 removal rate, soot removal rate, comprehensive utilization rate of industrial solid waste, domestic sewage treatment rate, and harmless treatment of domestic waste rate) to quantify the intensity of urban environmental regulations. Based on the intensity of environmental regulations, the authors further studied the impact of environmental regulations on economic quality (green total factor productivity) and environmental quality (PM2.5). The test results showed that the impact of environmental regulation on PM2.5 is a U-type change that first declines and then rises, while the impact of the implementation of environmental regulation on green total factor productivity is an inverted U-shaped change, which first increases and then decreases. On the one hand, appropriate environmental regulations are conducive to improving environmental quality and improving urban green total factor productivity. On the other hand, excessive environmental regulations have not only failed to improve environmental quality, but also have a negative impact on the improvement of economic quality. In addition, there are regional differences in the impact of environmental regulations, so it is necessary to formulate appropriate and local environmental regulatory policies.
Xinfei Li; Baodong Cheng; Qiling Hong; Chang Xu. Can a Win–Win Situation of Economy and Environment Be Achieved in Cities by the Government’s Environmental Regulations? Sustainability 2021, 13, 5829 .
AMA StyleXinfei Li, Baodong Cheng, Qiling Hong, Chang Xu. Can a Win–Win Situation of Economy and Environment Be Achieved in Cities by the Government’s Environmental Regulations? Sustainability. 2021; 13 (11):5829.
Chicago/Turabian StyleXinfei Li; Baodong Cheng; Qiling Hong; Chang Xu. 2021. "Can a Win–Win Situation of Economy and Environment Be Achieved in Cities by the Government’s Environmental Regulations?" Sustainability 13, no. 11: 5829.
This paper explores how the relationship between FDI and SO2 emissions has been affected by the energy transition. We applied a semi-parametric method to a STIRPAT model using Chinese provincial panel data from 2002 to 2016 to conduct an empirical analysis of FDI and SO2 emissions and analyze the effects of FDI on the energy transition. We found that FDI and SO2 emissions are characterized by an inverted U-shaped relationship; FDI and coal consumption have an inverted U-shaped relationship, and FDI and natural gas consumption have a U-shaped relationship. Moreover, the use of coal significantly increases SO2 emissions while the use of natural gas significantly reduces them. Our research shows that technological advances have increased coal consumption and that there has been no reduction of SO2 emissions in China. Overall, our analysis provides mixed support for the pollution haven and pollution halo hypotheses.
Chang Xu; Wenqi Zhao; Mengzhen Zhang; Baodong Cheng. Pollution haven or halo? The role of the energy transition in the impact of FDI on SO2 emissions. Science of The Total Environment 2020, 763, 143002 .
AMA StyleChang Xu, Wenqi Zhao, Mengzhen Zhang, Baodong Cheng. Pollution haven or halo? The role of the energy transition in the impact of FDI on SO2 emissions. Science of The Total Environment. 2020; 763 ():143002.
Chicago/Turabian StyleChang Xu; Wenqi Zhao; Mengzhen Zhang; Baodong Cheng. 2020. "Pollution haven or halo? The role of the energy transition in the impact of FDI on SO2 emissions." Science of The Total Environment 763, no. : 143002.
As one of the most common environmental problems, noise pollution in modern cities has been causing many short-term and long-term health problems. This study examines whether the Environmental Kuznets Curve (EKC) exists on China’s noise pollution problem. Based on the two-way fixed effects model, we study the relationship between noise pollution and economic development based on the noise monitoring data from 111 cities in China from 1991 to 2017, and the robustness test was conducted using GMM and semi-parametric methods. We find that 1) Relationship between noise pollution and economic development in China is inverted N-shaped at the national scale. 2) Shapes of noise pollution EKC curves have substantial regional variations: the curve is inverted N-shaped in the eastern region, inverted U-shaped relationship in the central region, and linear in the western region. 3) Missing key variables in the parameter regression will change the turning point. 4) Development of the tertiary industry will increase noise pollution. Our research results show that economic development does not necessarily lead to environmental degradation. The government should play an important role in noise pollution control and pay more attention to the environmental demands of society.
Chang Xu; Zhang Yiwen; Baodong Cheng; Lingchao Li; Mengzhen Zhang. Study on environmental Kuznets Curve for noise pollution: A case of 111 Chinese cities. Sustainable Cities and Society 2020, 63, 102493 .
AMA StyleChang Xu, Zhang Yiwen, Baodong Cheng, Lingchao Li, Mengzhen Zhang. Study on environmental Kuznets Curve for noise pollution: A case of 111 Chinese cities. Sustainable Cities and Society. 2020; 63 ():102493.
Chicago/Turabian StyleChang Xu; Zhang Yiwen; Baodong Cheng; Lingchao Li; Mengzhen Zhang. 2020. "Study on environmental Kuznets Curve for noise pollution: A case of 111 Chinese cities." Sustainable Cities and Society 63, no. : 102493.
This paper analyses Chinese forest industry's significance and its driving effects with the 2007' input-output statement and the 2008' national economic census data; and concludes that forest industry itself created GDP 330 billion RMB, while driving the GDP increase by 270 million RMB, showing an obvious driving effect. Especially the paper making industry contributed most; The industry created 4.6 million jobs, while driving the job increase by 25 million, demonstrating forest industry's job-creating capacity and its labour-intensive characteristics. The timber processing sector particularly created 2.4 million jobs, while driving the job increase by 10 million; Forest industry drove profit increase by 520 billion RMB, of which timber processing and paper making sectors contributed significantly; The whole industry drove the wage and welfare distribution up by 460 billion RMB, of which furniture manufacturing sector accounted for the largest share with 190 billion RMB, demonstrating forest industry's important status among all sectors and significant driving effect on economy.
Guangyuan Qin; Xuying Liu; Baodong Cheng. The Driving Effects of Forest Industry in China: An Input-Output Analysis. IOP Conference Series: Earth and Environmental Science 2019, 358, 022040 .
AMA StyleGuangyuan Qin, Xuying Liu, Baodong Cheng. The Driving Effects of Forest Industry in China: An Input-Output Analysis. IOP Conference Series: Earth and Environmental Science. 2019; 358 (2):022040.
Chicago/Turabian StyleGuangyuan Qin; Xuying Liu; Baodong Cheng. 2019. "The Driving Effects of Forest Industry in China: An Input-Output Analysis." IOP Conference Series: Earth and Environmental Science 358, no. 2: 022040.
China is the largest importer of waste paper in the world and is highly dependent on the international market. Thus, the relationship between Chinese and international waste paper markets affects the supply of fiber materials in China’s paper industry. This study examined the dynamic relationship between the two markets and the impact of newly implemented policies on both markets. We used unit root tests, cointegration test, vector error correction model (VECM) and frequency-domain Granger causality test to investigate the integration between Chinese and international waste paper markets and identify which of the two markets is the price leader. The results revealed that the two markets were integrated after controlling for structural breaks, and the Chinese market acted as the price leader. Since the supply of waste paper and wood pulp is insufficient in China to meet the fiber demand of the paper industry, waste paper import restrictions have significantly affected the supply of fiber materials in China’s paper industry. Therefore, the Chinese government should fully consider the benefit of market integration and make full use of international waste paper resources to satisfy the large domestic demand for paper products.
Di Shang; Diao Gang; Baodong Cheng. Dynamics of Integration between Chinese and International Waste Paper Markets. Journal of Sustainable Forestry 2019, 39, 433 -444.
AMA StyleDi Shang, Diao Gang, Baodong Cheng. Dynamics of Integration between Chinese and International Waste Paper Markets. Journal of Sustainable Forestry. 2019; 39 (5):433-444.
Chicago/Turabian StyleDi Shang; Diao Gang; Baodong Cheng. 2019. "Dynamics of Integration between Chinese and International Waste Paper Markets." Journal of Sustainable Forestry 39, no. 5: 433-444.
The influence of industrial agglomeration on corporate export behavior has been widely studied by both industry and academia. However, few studies have explored the impact of the spatial agglomeration of China’s wood processing industry on the quality of its products at the micro level. In this study, we analyzed data from the China Customs Database to determine the quality of wood processing industry products at the enterprise level. Then, we matched the China Customs Database with the data in the China Industrial Enterprise Database. Based on this, we analyzed the impact of the spatial agglomeration on the quality of wood products using panel data regression. According to our results, spatial agglomeration of the wood processing industry can significantly improve product quality. Also, private enterprises are more likely to benefit from the advantages conferred by agglomeration than state-owned enterprises. Moreover, trade method does not significantly modulate the effect of spatial agglomeration on the quality of wood products. Last but not least, the agglomeration has the most significantly positive impact on the quality of products produced by the wood chip processing industry, followed by the wood products industry and the wood panel industry. Agglomeration of the bamboo and rattan palm industry actually decreases product quality. Therefore, we encourage agglomeration of timber processing enterprises, especially privately owned wood chip, wood product, and wood panel enterprises, to fully realize the benefits of the agglomeration economy. We also make policy recommendations to improve wood product quality.
Chenlu Tao; Jinzhu Zhang; Baodong Cheng; Yu Liu. An Assessment of the Impact of Spatial Agglomeration on the Quality of China’s Wood Processing Industry Products. Sustainability 2019, 11, 3961 .
AMA StyleChenlu Tao, Jinzhu Zhang, Baodong Cheng, Yu Liu. An Assessment of the Impact of Spatial Agglomeration on the Quality of China’s Wood Processing Industry Products. Sustainability. 2019; 11 (14):3961.
Chicago/Turabian StyleChenlu Tao; Jinzhu Zhang; Baodong Cheng; Yu Liu. 2019. "An Assessment of the Impact of Spatial Agglomeration on the Quality of China’s Wood Processing Industry Products." Sustainability 11, no. 14: 3961.
Industrial spatial agglomeration is an important feature of modern industry development; however, little academic attention has been paid to the impact of industrial spatial agglomeration on the export of enterprises. Based on a large sample from a Chinese industrial enterprise database, this paper applies the EG index method to measure the spatial agglomeration level of forest products’ manufacturing and further explores its impact on exports. The results show that the spatial agglomeration level improved slightly in China’s forest products’ manufacturing during 1999–2009. However, the spatial agglomeration level of China’s forest products’ manufacturing is lower than is the average level of the total manufacturing industry. The regression results show that the level of spatial agglomeration has a significant positive impact on the export of enterprises in China’s forest products’ manufacturing industry. This may imply that the spatial agglomeration effect has not yet been fully exploited, and the level of spatial agglomeration in China’s forest products’ manufacturing industry needs to be further improved.
Lingchao Li; Fangfang Li; Chenlu Tao; Baodong Cheng. The impact of spatial agglomeration on export of forest products manufacturing in China: evidence from enterprises’ data. Journal of Sustainable Forestry 2019, 38, 743 -754.
AMA StyleLingchao Li, Fangfang Li, Chenlu Tao, Baodong Cheng. The impact of spatial agglomeration on export of forest products manufacturing in China: evidence from enterprises’ data. Journal of Sustainable Forestry. 2019; 38 (8):743-754.
Chicago/Turabian StyleLingchao Li; Fangfang Li; Chenlu Tao; Baodong Cheng. 2019. "The impact of spatial agglomeration on export of forest products manufacturing in China: evidence from enterprises’ data." Journal of Sustainable Forestry 38, no. 8: 743-754.
凌超 李; Li Lingchao; 金龙 刘; 宝栋 程; 文涛 杨; Liu Jinlong; Cheng Baodong; Yang Wentao. 中国劳动力转移对森林转型的影响. 资源科学 2018, 40, 1526 -1538.
AMA Style凌超 李, Li Lingchao, 金龙 刘, 宝栋 程, 文涛 杨, Liu Jinlong, Cheng Baodong, Yang Wentao. 中国劳动力转移对森林转型的影响. 资源科学. 2018; 40 (8):1526-1538.
Chicago/Turabian Style凌超 李; Li Lingchao; 金龙 刘; 宝栋 程; 文涛 杨; Liu Jinlong; Cheng Baodong; Yang Wentao. 2018. "中国劳动力转移对森林转型的影响." 资源科学 40, no. 8: 1526-1538.
Phavanar Sombanpheng; Baodong Cheng; Pradeep Baral; Lingchao Li; Nadia Nora Urriola. Applying Remote Sensing and GIS Techniques to Assess Spatial-temporal Patterns of Land-Use and Land-Cover Changes in Thakhek District of Central Laos. International Journal of Advanced Remote Sensing and GIS 2018, 7, 2617 -2632.
AMA StylePhavanar Sombanpheng, Baodong Cheng, Pradeep Baral, Lingchao Li, Nadia Nora Urriola. Applying Remote Sensing and GIS Techniques to Assess Spatial-temporal Patterns of Land-Use and Land-Cover Changes in Thakhek District of Central Laos. International Journal of Advanced Remote Sensing and GIS. 2018; 7 (1):2617-2632.
Chicago/Turabian StylePhavanar Sombanpheng; Baodong Cheng; Pradeep Baral; Lingchao Li; Nadia Nora Urriola. 2018. "Applying Remote Sensing and GIS Techniques to Assess Spatial-temporal Patterns of Land-Use and Land-Cover Changes in Thakhek District of Central Laos." International Journal of Advanced Remote Sensing and GIS 7, no. 1: 2617-2632.
Current forest recovery efforts in developing countries are different from previous efforts in developed countries, especially since the rise of economic globalization in the 1980s. Therefore, forest transition theory should now consider factors relating to industrialization, urbanization, and globalization. While previous studies have mainly focused on the variable trade of primary sector products, this study applies a more holistic research perspective and discusses, more widely, the links between trade, adjustment of trade structure, FDI, and forest transition. The results suggest that the total export value has a significant negative effect on forest area and volume, while the percentage of non-primary products has a significant positive impact on forest volume and density in the 76 developing countries studied. These results indicate that a country or region may improve the forest resource conditions by upgrading the export structure through the development of export-oriented manufacturing and service industries during the process of global industrial restructuring. This demonstrates the need to consider the overall global economic situation of a country when exploring the effects of economic globalization on forest transitions. In addition, this study attempts to address extant concerns regarding the quality of forest transitions by moving beyond the analysis of forest coverage to explore changes in both forest area and forest volume.
Lingchao Li; Jinlong Liu; Baodong Cheng; Ashwini Chhatre; Jiayun Dong; Wenyuan Liang. Effects of economic globalization and trade on forest transitions: Evidence from 76 developing countries. The Forestry Chronicle 2017, 93, 171 -179.
AMA StyleLingchao Li, Jinlong Liu, Baodong Cheng, Ashwini Chhatre, Jiayun Dong, Wenyuan Liang. Effects of economic globalization and trade on forest transitions: Evidence from 76 developing countries. The Forestry Chronicle. 2017; 93 (2):171-179.
Chicago/Turabian StyleLingchao Li; Jinlong Liu; Baodong Cheng; Ashwini Chhatre; Jiayun Dong; Wenyuan Liang. 2017. "Effects of economic globalization and trade on forest transitions: Evidence from 76 developing countries." The Forestry Chronicle 93, no. 2: 171-179.
The research calculated the waste paper recovery rate, and analyzed the main factors influencing waste paper recovery rate in China with time series data from 1970 to 2012. The consequent recovery rate and utilization rate of waste paper show that the recovery of paper products has been experiencing a rapid growth in China, but it cannot meet the domestic need. The empirical analysis proves that demand is the main driver to stimulate the increase of waste paper recovery rate in China; the increased average GDP per capita and proportion of waste paper pulp are two other important factors; the increased urbanization rate does not exert significant influence. In the circumstance of insufficient timber supply, the policy of eliminating straw pulp capacities for paper-making indusrty improves the recovery rate of waste paper.
Diao Gang; Cheng Bao-Dong; Liu Si-Tong; Rong Yu. Empirical analysis on influencing factors of waste paper recovery rate in China. Journal of Sustainable Forestry 2016, 35, 183 -190.
AMA StyleDiao Gang, Cheng Bao-Dong, Liu Si-Tong, Rong Yu. Empirical analysis on influencing factors of waste paper recovery rate in China. Journal of Sustainable Forestry. 2016; 35 (3):183-190.
Chicago/Turabian StyleDiao Gang; Cheng Bao-Dong; Liu Si-Tong; Rong Yu. 2016. "Empirical analysis on influencing factors of waste paper recovery rate in China." Journal of Sustainable Forestry 35, no. 3: 183-190.
Using country-specific data from 1992 to 2012, we estimated the demand elasticity of the log import market using the source-differentiated Almost Ideal Demand System (AIDS) model, the Error Correction Model (ECM), and both models in combination (ECM-AIDS), considering imports from Australia, Canada, Indonesia, Malaysia, Myanmar, New Zealand, Russia, and the United States. Regardless of which model used, the expenditure elasticity values were mostly positive, indicating a positive correlation between import volume and total import expenditure. Self-compensated price elasticity was negative, indicating that logs from all countries except Malaysia are relatively more sensitive to price, while import volumes from these countries are less sensitive to price. Cross-price elasticity values calculated using the static AIDS model showed that logs imported from Malaysia, Myanmar, and Russia are mutually complementary with logs imported from the other countries. Logs from Australia, Malaysia, and Indonesia; Canada and Indonesia; the US and New Zealand; and, Myanmar and Indonesia are mutually replaceable. The dynamic AIDS model found the same pattern regarding supplementarity, but indicated that logs from Australia, Canada, and Indonesia; the US and New Zealand; New Zealand and Indonesia; and Myanmar and Indonesia are mutually replaceable.
Baodong Cheng; Guangyuan Qin; Weiming Song. Analysis of the log import market and demand elasticity in China. The Forestry Chronicle 2015, 91, 367 -375.
AMA StyleBaodong Cheng, Guangyuan Qin, Weiming Song. Analysis of the log import market and demand elasticity in China. The Forestry Chronicle. 2015; 91 (4):367-375.
Chicago/Turabian StyleBaodong Cheng; Guangyuan Qin; Weiming Song. 2015. "Analysis of the log import market and demand elasticity in China." The Forestry Chronicle 91, no. 4: 367-375.
Using cointegration analyses, we examined the econometric relationship between the US exports of selected forest products (roundwood, sawnwood, and paper and paper board) and a group of microeconomic factors. Overall, we found a positive impact of economic growth of importing countries on total US export of forest products, but mixed results for exchange rate risk and relative price by model specifications, by exchange rate risk measures, and across forest products.
Baodong Cheng; Bin Mei; Yang Wan. An Econometric Analysis of US Exports of Forest Products. Forest Products Journal 2013, 63, 224 -231.
AMA StyleBaodong Cheng, Bin Mei, Yang Wan. An Econometric Analysis of US Exports of Forest Products. Forest Products Journal. 2013; 63 (7-8):224-231.
Chicago/Turabian StyleBaodong Cheng; Bin Mei; Yang Wan. 2013. "An Econometric Analysis of US Exports of Forest Products." Forest Products Journal 63, no. 7-8: 224-231.
Timber import is an important and integral part of China’s timber trade. According to different kinds of product type, this paper analyzes its import in 2004 separately; based on the conditions of China’s timber import trade in 2004, this paper finds out some existing problems and puts forward corresponding countermeasures.
Baodong Cheng; Weiming Song; Minghua Tian. Import analysis of China’s major timber products in 2004. Frontiers of Forestry in China 2006, 1, 238 -242.
AMA StyleBaodong Cheng, Weiming Song, Minghua Tian. Import analysis of China’s major timber products in 2004. Frontiers of Forestry in China. 2006; 1 (2):238-242.
Chicago/Turabian StyleBaodong Cheng; Weiming Song; Minghua Tian. 2006. "Import analysis of China’s major timber products in 2004." Frontiers of Forestry in China 1, no. 2: 238-242.