Impact of policy reforms on the productivity growth of Indian coal mining: A decomposition analysis

Sahoo, Auro Kumar; Sahu, Naresh Chandra; Sahoo, Dukhabandhu

doi:10.1016/j.resourpol.2018.08.019

Cited by 9 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, compared with previous studies, this study clarifies the structural change in the relationship between haze and regional TFP growth, which has been ignored in the previous studies (Li and Tanna, 2018;Sahoo et al, 2018). The findings offer valuable empirical evidence about how haze pollution affects regional economic development in the first place.…”

Section: Main Conclusionsupporting

confidence: 48%

“…Based on the literature review, this paper makes contributions on three import fronts, namely, content, context and method. The three main contributions are as follows: First, in terms of research content, existing studies on haze and TFP growth are usually limited to an examination and identification of the influential factors (Li and Tanna, 2018; Sahoo et al , 2018). Meanwhile, although some of the literature examines the connections between the environment and economic growth (Cheng et al , 2017), few studies have examined haze pollution as a driving factor or explored whether haze successfully facilitates an increase in TFP growth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Haze pollution, new-type urbanization and regional total factor productivity growth: based on a panel dataset involving all 31 provinces within the territory of China

Zhang

Sun

Liu

et al. 2020

View full text Add to dashboard Cite

Purpose This paper aims to analyze the spatiotemporal heterogeneity of regional total factor productivity (TFP) growth and explores how haze pollution and different levels of new-type urbanization affect China’s economic growth. Design/methodology/approach This paper constructs an index for evaluating the TFP growth of China’s 31 provinces by integrating slack-based measures and the Global Malmquist (GM) productivity index. Meanwhile, the panel threshold estimation method is used to examine the complex relationships among haze pollution, new-type urbanization and TFP growth. Findings The results reflect conspicuous spatiotemporal heterogeneity in TFP growth in China. Interestingly, the influence of haze pollution on TFP growth is limited by the “critical mass” of new-type urbanization in China. When new-type urbanization does not cross the first threshold, haze pollution has a negative but non-significant effect on TFP growth. When new-type urbanization crosses the first threshold but not the second, haze pollution has a significant positive impact on TFP growth. When new-type urbanization crosses the second threshold, haze pollution significantly and positively affects TFP growth with the strongest positive effect. Originality/value This study innovates by combining haze pollution and TFP growth and proposing an integrated framework from the perspective of new-type urbanization, providing insight into how different degrees of new-type urbanization impact the mechanism between haze pollution and TFP growth. Using panel data in China and emphasizing green development, a sustainable economy and new-type urbanization, this study contributes to the current studies on haze pollution and economic development based on developed countries.

show abstract

Section: Main Conclusionsupporting

confidence: 48%

Section: Introductionmentioning

confidence: 99%

Haze pollution, new-type urbanization and regional total factor productivity growth: based on a panel dataset involving all 31 provinces within the territory of China

Zhang

Sun

Liu

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Ji et al (2019) adopted the data envelopment analysis (DEA) method and determined that the efficiency of pollution treatment and waste disposal technology in Eastern China was the highest, while the technology levels in Western China were the lowest. Numerous studies focus on the micro or macro-economic policies evaluation, including the trade (Mary and Konings, 2007;Loecker, 2011;Sahoo et al,2018;Jiang et al, 2021;Jiang, 2021) and industrial agglomeration policies (Martin et al, 2011). GTFP methods break down mathematical programming techniques (DEA) or econometric modeling (Stochastic Frontier Analysis, SFA).…”

Section: Introductionmentioning

confidence: 99%

The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Xiao

You

2021

Front. Environ. Sci.

View full text Add to dashboard Cite

That human capital improves the efficiency of Green Total Factor Productivity has been established in research fields, but the heterogeneous effects of human capital on GTFP and its sustainable mechanisms are unclear. This study examines the effects of human capital accumulation, fiscal spending on education, and innovation on GTFP efficiency under spatial and temporal diversity. Employing panel data from 30 provinces from 2001 to 2018 in China, we analyzed the dynamic and static efficiency of GTFP in different regions by three-stage data envelopment analysis (DEA). The heterogeneous effects of human capital on GTFP were explored through Tobit regression. Results reveal that the average value of GTFP efficiency is an inverted U-shape and the presence of significant t geography differences. Human capital accumulation and fiscal spending on education have positive effects on GTFP efficiency; however, innovation negatively affects it. At the same time, marketization growth decreases the positive influence of human capital and education on GTFP efficiency. While, this effect was not observed regarding innovation, the implication of these results concerning the human capital heterogeneous effects of GTFP efficiency in a different geographic context. Establishing a fair and transparent system can reduce the endowments gap and effectively promote GTFP efficiency in developing countries.

show abstract

“…For instance, numerous studies have measured the change in TFP of different sectors in certain regions (i.e. direct effects) ( 59 , 60 ). Based on the multiregional and multisectoral framework for the GHG footprint of TP proposed in this study, the cascading effect throughout GVCs (i.e.…”

Section: Discussionmentioning

confidence: 99%

Double-edged sword of technological progress to climate change depends on positioning in global value chains

Liang,

Zhong,

Zhou

et al. 2023

PNAS Nexus

View full text Add to dashboard Cite

Technological progress (TP) is a double-edged sword to global climate change. This study for the first time reveals rebound and mitigation effects of efficiency-related TP in global value chains (GVCs) on greenhouse gas (GHG) emissions. The integrated effects of TP depend on the positioning of sectors in GVCs. The cost-saving TP in upstream sectors would stimulate downstream demand. This produces stronger rebound effects than mitigation potentials and leads to global GHG emission increments (e.g. TP in the gas sector of China and petroleum and coal products sector of South Korea). In contrast, sectors located in the trailing end of GVCs have greater potentials for GHG emission mitigation through TP, mainly due to the reduction of upstream inputs. (e.g. the construction sector of China and dwelling sector of the United States). Global GHG emissions and production outputs can be either a trade-off or a win–win relationship on account of TP than rebound effects, because TP in different sectors could possibly increase or decrease the emission intensity of GVCs. This study could recognize the most productive spots for GHG emission mitigation through efficiency-related TP. It provides a new perspective for international cooperation to promote global GHG emission mitigation.

show abstract

Impact of policy reforms on the productivity growth of Indian coal mining: A decomposition analysis

Cited by 9 publications

References 11 publications

Haze pollution, new-type urbanization and regional total factor productivity growth: based on a panel dataset involving all 31 provinces within the territory of China

Haze pollution, new-type urbanization and regional total factor productivity growth: based on a panel dataset involving all 31 provinces within the territory of China

The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Double-edged sword of technological progress to climate change depends on positioning in global value chains

Contact Info

Product

Resources

About