A heteroskedasticity robust test for cross-sectional correlation in a fixed effects panel data model

Peng, Bin; Yu, Junqi; Zhu, Yi

doi:10.1016/j.econlet.2021.109799

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…However, omitting variables that impact the model can lead to estimation bias, known as omitted variable bias (OVB) (Gujarati & Porter, 2009). To address this concern, a robustness check, called the model strength test, can be conducted (Peng et al, 2021). This test helps evaluate consistency by progressively adding control variables to the model (Lu & White, 2014).…”

Section: Estimation Strategymentioning

confidence: 99%

A Changing Landscape: Exploring the Relationship between Clean and Clear Status Policy, Coal Mining, and Deforestation

Widjanarko,

Gultom

2024

jtfm

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Coal plays a crucial role in energy generation in developing nations and serves as a vital source of power amidst growing energy demands. However, coal mining often acts as a primary driver of deforestation and poses significant environmental challenges. Indonesia, a country with extensive forest areas and a significant coal producer, has implemented a Clean and Clear status policy to address regional and administrative issues related to mining permits. This study aims to assess the impact of this government permit for coal mining in forest areas using the fixed effect panel data method, offering insights into the relationship between coal mining activities and deforestation trends. The analysis focused on the period from 2010 to 2019 and covered 110 regencies in Indonesia, providing a comprehensive understanding of the spatial and temporal dynamics of forest loss. The estimation findings indicated a negative correlation between the areas allocated for coal mining concession permits and forest areas, underscoring the need for stringent regulations and effective land management practices. Therefore, it is recommended that the Clean and Clear status policy not only be applicable during the permit granting phase, but also prioritize post-mining periods to ensure the completion of land reclamation activities.

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Section: Estimation Strategymentioning

confidence: 99%

A Changing Landscape: Exploring the Relationship between Clean and Clear Status Policy, Coal Mining, and Deforestation

Widjanarko,

Gultom

2024

jtfm

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“…For this study, we selected the fixed-effect panel model to analyze the impact of the value of ecological service on the efficiency of poverty reduction [30].…”

Section: Analysis Model Of the Impact Of Pre On Esmentioning

confidence: 99%

How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China

Cao

Ouyang

Jun

2022

IJERPH

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Scientific evaluation of the interaction between poverty reduction efficiency (PRE) and ecosystem services (ES) in state poverty counties is essential in promoting the rural revitalization strategy and the construction of an ecological civilization. Using the DEA model, the InVEST model, and fixed-effect panel data, this study was analyzed using the panel data of 832 poverty counties in China for 2010–2019 to evaluate the relationship between poverty reduction efficiency and ecosystem services. The main results are as follows: (1) The overall poverty reduction efficiency showed an upward trend, while ES exhibited a declining trend with spatial heterogeneity. The poverty reduction efficiency of state poverty counties in the western region increased rapidly. (2) The impact of different types of ecosystem services on poverty reduction efficiency varied considerably. Habitat quality was significantly negatively impacted, while food production and carbon storage showed significant positive effects. There was a significant positive relationship between ecosystem services and poverty reduction efficiency in all regions, with the eastern region having the strongest correlation. (3) The panel regression analysis showed a significant positive impact. The environmental parameters were the primary factors affecting poverty reduction efficiency, while economic and social factors were the driving and external factors. The rural revitalization strategy should strive towards the win-win effect of ecological protection and economic development.

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Urban parks as a potential mitigator of suicide rates resulting from global pandemics: Empirical evidence from past experiences in Seoul, Korea

Kim

Sung

2022

Cities

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A heteroskedasticity robust test for cross-sectional correlation in a fixed effects panel data model

Cited by 5 publications

References 7 publications

A Changing Landscape: Exploring the Relationship between Clean and Clear Status Policy, Coal Mining, and Deforestation

A Changing Landscape: Exploring the Relationship between Clean and Clear Status Policy, Coal Mining, and Deforestation

How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China

Urban parks as a potential mitigator of suicide rates resulting from global pandemics: Empirical evidence from past experiences in Seoul, Korea

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