Performance evaluation of some propensity score matching methods by using binary logistic regression model

Olmuş, Hülya; Beşpınar, Esra; Nazman, Ezgi

doi:10.1080/03610918.2019.1679181

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…It is necessary to point out that we set the caliper value based on the nearest neighbor matching (NNM) method, which effectively solves the problem that the method of NNM has difficulty guaranteeing the matching quality when the distribution of propensity scores between the treatment group and the control group is widely different. Furthermore, although the number of samples in the control group is decreased by using matching with replacement, the bias reduction improves the fitting ability of the algorithm and the overall matching quality [24,53]. This paper uses t-test and quantitative indicators to evaluate the effect of the balance test.…”

Section: Propensity Score Matching and Analysis Of Causal Effectsmentioning

confidence: 99%

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The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

Ding¹,

Jing

et al. 2022

IJERPH

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Green credit policy (GCP), as one of the key financial instruments to achieve ’carbon peaking’ and ‘carbon neutrality’ targets, provides capital support for the green development of enterprises. This paper explores the impact mechanism of GCP on the sustainability performance of heavily polluting enterprises (HPEs) from the perspectives of technological innovation level (TIL) and credit resource allocation (CRA), using panel data for Chinese A-share listed manufacturing companies from 2010 to 2015 to construct a propensity score matching and differences-in-differences (PSM-DID) model. We find that GCP has a causal effect on corporate sustainability performance (CSP). Although GCP significantly improves CSP, there is no long-term effect. Heterogeneity analysis shows that the relationship between GCP and CSP is only significant in non-state-owned enterprises and in eastern and low-market-concentration enterprises. Mechanism tests indicate that GCP stimulates HPEs to invest more in technological innovation and thereby improves CSP through the innovation compensation effect; the credit constraint and information transfer effects caused by GCP reduce the credit resources available to HPEs but have a significant forced effect on CSP. This paper enriches the study of the economic consequences of GCP and provides implications for stakeholders to improve the green financial system and achieve green transformation of HPEs.

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Section: Propensity Score Matching and Analysis Of Causal Effectsmentioning

confidence: 99%

“…Res. Public Health 2022, 19, 14518 12 of 27replacement, the bias reduction improves the fitting ability of the algorithm and the overall matching quality[24,53].…”

mentioning

confidence: 99%

The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

Ding¹,

Jing

et al. 2022

IJERPH

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show abstract

“…Based on the propensity scores of the experimental group and the control group, nearest-neighbor matching, nuclear matching, and other rules were used for matching [31]. The points in the experimental group and the control group that were closest to each other under multiple factors were selected to eliminate sample-selection bias [32].…”

Section: Propensity Score Matching (Psm)mentioning

confidence: 99%

Assessment of the Ecological Protection Effectiveness of Protected Areas Using Propensity Score Matching: A Case Study in Sichuan, China

Zhang

Tang

Pan

et al. 2022

IJERPH

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Protected areas constitute a global strategic resource for enhancing the effectiveness of ecological protection, which can alleviate the impact of unsustainable human production and living activities on the ecological environment. However, the spatiotemporal evolution of ecological protection effectiveness needs to be quantitatively revealed. The net primary productivity (NPP) of plants is an important measure of the effectiveness of ecological protection efforts. The main purpose of this study is to use the relative change in the annual average NPP to evaluate the ecological protection effectiveness of protected areas. We compared the historical changes in the annual average NPP of protected areas in Sichuan Province from 2000 to 2019. We added the spatial coordinates to the impact factor system and adopted propensity score matching (PSM) in a quasi-natural experimental method to determine the experimental group and the control group. The ecological protection effectiveness of the protected areas in the study area in 2000, 2005, 2010, 2015, and 2019 was measured and classified into three types of changes in protection effectiveness, namely effective, ineffective, or fluctuating. According to the administrative level, type, and spatial distribution, we determined the number and type of changes in the protection effectiveness of different protected areas. The results show that the annual average NPP of the protected areas in Sichuan Province generally fluctuated. The annual average NPP increased in 95.47% of the total protected area and decreased in 4.53%. The overall protection effectiveness of protected areas was positive and significant and gradually improved. Effective protected areas at the national, provincial, and county levels accounted for 40.27% of the total number of protected areas, and the other 14.77% of effective protected area was managed at other administrative levels. Among the different types of protected areas, the proportion of effective protected areas was highest in wild animal protected areas, followed by forest ecology protected areas, wild plant protected areas, and wetland ecology protected areas. The results of this study can provide an important reference for the verification and improvement of the ecological protection effectiveness of various protected areas.

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Rural businesses and levelling up: A rural-urban analysis of business innovation and exporting in England's north and midlands

Tiwasing

Gorton

Phillipson

et al. 2023

Journal of Rural Studies

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Performance evaluation of some propensity score matching methods by using binary logistic regression model

Cited by 4 publications

References 24 publications

The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation

Assessment of the Ecological Protection Effectiveness of Protected Areas Using Propensity Score Matching: A Case Study in Sichuan, China

Rural businesses and levelling up: A rural-urban analysis of business innovation and exporting in England's north and midlands

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