Does the price of natural resources affect firms’ total factor productivity? Evidence from a natural experiment in China

Li, Shasha; Yin, Shougen; Yin, Changchuan; Yan, Sheng

doi:10.1016/j.eap.2021.01.017

Cited by 11 publications

(8 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the LP estimation method is proposed. This paper uses the LP method to measure the total factor productivity of enterprises ( Liu et al, 2021 ; Nakatani, 2021 ), and the total factor productivity calculated by the OP method is then used to test the robustness of the model. The measurement formula is as follows:…”

Section: Methodsmentioning

confidence: 99%

Green credit and enterprise green operation: Based on the perspective of enterprise green transformation

Niu

Zhao²,

Luo³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

This paper uses panel data of listed heavily polluting enterprises from 2007 to 2021, based on the perspective of transformation and upgrading of heavy polluters, innovatively studies the impact of green credit on the green operation of enterprises. At the micro level, the research results of this paper verify the effectiveness of green credit policy on the transformation of green enterprises. It is also found that the two intermediary paths of debt cost and government subsidy play a partial intermediary role in the process of green credit promoting green enterprise transformation and upgrading. Green credit policy also moderates the green transformation of enterprises through debt cost and government subsidies. Based on the research results, this paper puts forward targeted policy suggestions from the aspects of financing constraints, government subsidy policies, enterprise technological innovation and green operation, and provides empirical support for the current expansion of green credit policies in China.

show abstract

Section: Methodsmentioning

confidence: 99%

Green credit and enterprise green operation: Based on the perspective of enterprise green transformation

Niu

Zhao²,

Luo³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Zhao and Lin [11] conducted a survey of energy-intensive enterprises in China and emphasized that electricity price differentiation policy had increased the production cost of enterprises, which forced enterprises to speed up the scrapping and cleaning of backward production equipment with low technical level, thus improving production efficiency. Based on the data of mineral resource enterprises, Liu et al [13] supported the market-oriented reform of natural resource prices to promote the total factor productivity of Chinese enterprises. Chen et al [14], however, put the perspective on the renewable energy sector and found that the implementation of wind power price policy reduced the benchmark price of wind power, which effectively inhibited the blind investment of wind power industry and forced enterprises to carry out technological innovation, thus promoting the improvement of total factor productivity.…”

Section: The Impact Of Price Policy On Total Factor Productivitymentioning

confidence: 99%

Two-Part Tariff Policy and Total Factor Productivity of Pumped Storage Industry: Stimulation or Failure?

Yu,

Li,

Chen

et al. 2024

Systems

View full text Add to dashboard Cite

The two-part tariff (TPT) policy is implemented as an important initiative to accelerate the marketization of the pumped storage industry and promote its high-quality development. However, it is not clear exactly how the TPT policy affects the productivity of the pumped storage industry. Using the EBM-GML method and the DID model, this paper measures the total factor productivity of the pumped storage industry and explores the impact of the Two-Part Tariff (TPT) policy on its total factor productivity. Based on the samples of 16 provinces in China from 2004 to 2020, we find the following: (1) At present, the total factor productivity of China’s pumped storage industry is still at a low level. (2) TPT policy can promote the improvement of total factor productivity, which was strongly supported by the robustness test. Innovation incentive is one of the main mechanisms. (3) The impact of TPT policy on total factor productivity has obvious regional heterogeneity. By geographic location, the TPT policy has little effect on the pumped storage industry’s TFP in the eastern region, but it exerts a significant positive role in the central region. By energy affluence, TPT policy effect is stronger in provinces with low energy dependence. By environmental governance, the role of this policy is more obvious in provinces with low environmental regulation but developed green financial market. Finally, some corresponding policy implications have been put forward.

show abstract

“…The propensity score, the likelihood of receiving R&D support over observable covariates, is effective in solving dimensional problems because it calculates scores for these variables in a one-dimensional form, such that P(X) = Pr(T i = 1 | X). We estimated the propensity score using a multivariate logistic regression model with the possible covariates [59].…”

Section: Propensity Score Matching With Difference-in-differences (Ps...mentioning

confidence: 99%

Empirical Analysis of Evidence-Based Policymaking in R&D Programmes

Shim

Shin

2021

Sustainability

View full text Add to dashboard Cite

This study explores evidence-based policymaking (EBP) in public research and development (R&D) programmes. Governments develop and implement R&D programmes to promote innovation, the key driver of sustainable economic growth. For effective management, public policies should be planned, executed, and terminated based on their impact evaluation and feedback. Although many studies have investigated the impact of R&D support, few have analysed whether it evolves on the basis of evidence. Using a dataset of Korean programmes, this study adopted the propensity score matching with a difference-in-differences method. We distinguished four determinants of performance evidence: R&D intensity, assets, sales, and profits growth. The following are the main results: (1) while R&D intensity, sales, and profits growth reveal the efficiency of the EBP mechanism, the performance of assets do not differ across the abolished and continued programmes; (2) the EBP process classified by subsidy amount reveals no statistically significant differences in terms of R&D intensity and profits. This suggests that policymakers need to consider the amount of subsidy granted under the budget limitation. This study contributes to the empirical research on EBP using heterogeneous evidence indicators and describes how policymakers exploit policy evaluation to implement and monitor policies for sustainable development.

show abstract

Does the price of natural resources affect firms’ total factor productivity? Evidence from a natural experiment in China

Cited by 11 publications

References 72 publications

Green credit and enterprise green operation: Based on the perspective of enterprise green transformation

Green credit and enterprise green operation: Based on the perspective of enterprise green transformation

Two-Part Tariff Policy and Total Factor Productivity of Pumped Storage Industry: Stimulation or Failure?

Empirical Analysis of Evidence-Based Policymaking in R&D Programmes

Contact Info

Product

Resources

About