Impacts of heterogenous technological innovations on green productivity: An empirical study from 261 cities in China

Luo, Yusen; Lu, Zhengnan; Salman, Muhammad; Song, Shunfeng

doi:10.1016/j.jclepro.2021.130241

Cited by 46 publications

(27 citation statements)

References 53 publications

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“…Meanwhile, the non-radial models, e.g., SBM model, may fail to change proportionality and lead to a biased estimation [ 35 ]. To solve the shortcomings of the above DEA models, Tone and Tsutsui introduced the EBM model [ 35 ], which is widely used by many researchers [ 8 , 36 ]. Hence, this study takes on EBM-DEA to measure Chinese GTFP from 1998 to 2018.…”

Section: Method Variables and Datamentioning

confidence: 99%

“…As a consequence, China’s CO 2 emissions in 2021 increased by 6% above 2019 levels. This suggests that China’s green development still has substantial room for improvement [ 8 ]. On this premise, evaluating the development level of China’s green economy and its influencing factors has great practical significance, which is also one of the major motives of this study.…”

Section: Introductionmentioning

confidence: 99%

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Environmental Regulation Effect on Green Total Factor Productivity: Mediating Role of Foreign Direct Investment Quantity and Quality

Luo

et al. 2023

IJERPH

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Green total factor productivity (GTFP) is an excellent index for green development. The objective of this study was to check whether environmental regulation (ER) can affect GTFP through the mediating role of foreign direct investment (FDI) quantity and quality. Using the super-efficiency Epsilon-based measure (EBM) model and a Malmquist–Luenberger (ML) index, China’s GTFP growth was measured during 1998–2018. On this basis, we adopted a Systematic Generalized Method of Moments (SYS-GMM) to analyze the effect of ER on GTFP. The findings show that China’s GTFP declined first and rose again during the sample period. GTFP in the coastland was greater than that in the inland region. ER positively affected China’s GTFP growth. FDI quantity and quality mediated the nexus between ER and GTFP growth in the whole nation. Specifically, this mediation role of FDI quantity and quality was only significant in coastal China. Additionally, financial development can also boost GTFP growth in China. Given the importance of developing a green economy, the government should improve the FDI quality and attract green FDI.

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Section: Method Variables and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Environmental Regulation Effect on Green Total Factor Productivity: Mediating Role of Foreign Direct Investment Quantity and Quality

Luo

et al. 2023

IJERPH

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“…It is worth pointing out that the NCMeta-US-EBM model is different from the model proposed by Tone and Tsutsui (2010) as they did not consider non-convex metafrontier technology, undesirable outputs, and super efficiency. Although the DEA model which simultaneously considered metafrontier, super efficiency, and undesirable output in EBM has been proposed (Luo et al, 2022), however, the metafrontier considered in previous study is convex, indicating that the infeasible input-output combinations could not be further excluded. If so, the results may be biased.…”

Section: Measuring For Eco-efficiencymentioning

confidence: 97%

Does Land Marketization Improve Eco-Efficiency? Evidence From China

Neng-sheng

2023

Technological and Economic Development of Economy

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The trend of market-oriented land transaction scheme and the optimal allocation of land resources have become two important components of ecological sustainable development. However, the relevance of analyzing effects of land marketization on ecological and environmental development cannot be overemphasized. The ecological and environmental effects of land marketization are the focus of this paper. We begin by developing a theoretical framework to investigate how land marketization affects eco-efficiency. Moreover, we develop a data envelopment analysis model to measure eco-efficiency. We empirically investigate the effect of land marketization on eco-efficiency using a data set of 251 cities in China over the period of 2003 to 2018. Both theoretical and empirical results show that the land marketization exerts positive effects on eco-efficiency. Specifically, a 100% increase in land marketization level leads to a 2.4 percent increase in eco-efficiency. The heterogeneous effects and spatial effects of the land marketization on eco-efficiency are also examined. Besides, the endogeneity issues are also discussed using instrumental variable approach. Finally, the mechanism analysis shows that land marketization improves eco-efficiency primarily through improving efficiency change, best practice change and technology gap change, respectively. The main conclusions are confirmed by several robustness checks.

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“…However, considering the small sample size of the Northeast Economic Zone, many scholars still tend to use the traditional three major economic zones for empirical analysis. For recent related literature, please refer to Shi and Xu [93], Fan et al [94], Ke et al [95], Liu et al [96], Ren et al [97], and Luo et al [98].…”

Section: Data Sourcesmentioning

confidence: 99%

Dynamic Nonlinear Connectedness between the Financial Inclusion, Economic Growth, and China’s Poverty Alleviation: Evidence from a Panel VAR Analysis

et al. 2022

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Whether financial inclusion and economic growth can sustainably release poverty alleviation effects in long term has been the focus of academia and government sector. This article uses provincial panel data from 2004 to 2019 to examine the dynamic nonlinear connectedness between the financial inclusion, economic growth, income inequality, and poverty alleviation; the main objective is to reveal the direction and intensity of the long-term and short-term impact of each factor on poverty alleviation. By building a panel vector autoregression model (PVAR), the comparison analyses of national, eastern, central, and western sample groups verify the existence of dynamic nonlinear connectedness among the four variables. The study found that there is complex bidirectional causality between these variables, financial inclusion has the long-term impact on promoting poverty alleviation in China, the impact of economic growth is relatively weak, and income inequality has weakened the positive impact of financial inclusion on poverty alleviation. Through the analysis of impulse response function, variance decomposition, and time-varying nonparametric estimates in different economic regions, we find that the impact of financial inclusion on poverty alleviation presents a U-shaped characteristic, and the contribution of financial inclusion to poverty alleviation in western regions is significant, but poverty reduction in eastern and central region mainly depends on economic growth. For policymakers, financial inclusion can be an effective way to alleviate relative poverty, but the poverty governance should focus more on reducing income inequality in China.

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Impacts of heterogenous technological innovations on green productivity: An empirical study from 261 cities in China

Cited by 46 publications

References 53 publications

Environmental Regulation Effect on Green Total Factor Productivity: Mediating Role of Foreign Direct Investment Quantity and Quality

Environmental Regulation Effect on Green Total Factor Productivity: Mediating Role of Foreign Direct Investment Quantity and Quality

Does Land Marketization Improve Eco-Efficiency? Evidence From China

Dynamic Nonlinear Connectedness between the Financial Inclusion, Economic Growth, and China’s Poverty Alleviation: Evidence from a Panel VAR Analysis

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