China and Natural Resource Curse in Developing Countries: Empirical Evidence from a Cross‐country Study

Su, Fubing; Wei, Guoxue; Tao, Ran

doi:10.1111/cwe.12142

Cited by 15 publications

(6 citation statements)

References 58 publications

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“…While not trivial, these results suggest that China's opening during the 1990s did not, on average, have a large effect on the broad sectoral structures of other countries. Other recent evidence linking China's manufacturing-led demand surge for commodities to "Dutch disease" in resource-abundant low-and middle-income countries across Sub-Saharan Africa and Latin America is also inconclusive (Meyersson, Miquel, and Qian 2008;Su et al 2016). 4.…”

Section: Notesmentioning

confidence: 99%

Trouble in the Making?: The Future of Manufacturing-Led Development

Hallward-Driemeier¹,

Nayyar²

2017

208

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This work is a product of the staff of The World Bank with external contributions. The fi ndings, interpretations, and conclusions expressed in this work do not necessarily refl ect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifi cally reserved.

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Section: Notesmentioning

confidence: 99%

Trouble in the Making?: The Future of Manufacturing-Led Development

Hallward-Driemeier¹,

Nayyar²

2017

208

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“…At a macro level, evidence exists that the often-assumed negative effect of oil trade on a country's human rights situation is more severe in the case of high trade dependence on the United States rather than on China (Bader and Daxecker 2015). Moreover, other quantitative, country-level analyses report a positive effect of resource exports to China on the exporting countries' economic development (Meyersson, i Miquel, and Qian 2008;Su, Wei, and Tao 2016). In addition, qualitative research shows that Chinese investments in Africa's natural resource sector are often accompanied by large infrastructure projects.…”

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confidence: 99%

At Africa's Expense? Disaggregating the Social Impact of Chinese Mining Operations

et al. 2018

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractQualitative studies and media reports suggest that the presence of Chinese oil or mining companies generates resentments among local extractive communities due to low wages, poor working conditions, environmental degradation, the employment of foreign labour, and perceived racial discrimination. At the same time, Chinese investment in the extractive sector appears to enhance local infrastructure. So far, these claims have not been empirically tested in a systematic way. Relying on novel data on the control-rights regimes of diamond, gold, and copper mines and geo-referenced information from Afrobarometer surveys, this paper examines whether Chinese-controlled mining promotes anti-Chinese sentiments among the local populations of sub-Saharan African countries. In addition, we test the effect of mining contractors' nationality on socio-economic indicators such as local employment rates and infrastructure levels. Our logistic regression analysis for the period 1997-2014 reveals that the effect of Chinese mining companies on African local development is ambiguous: while proximity to Chinese-operated mines is associated with anti-Chinese sentiments and unemployment, populations living close to Chinese mining areas enjoy better infrastructure, such as paved roads or piped water. Multilevel mixed-effects estimations using district-level data from the Demographic Health Survey for 20 sub-Saharan countries corroborate these findings.

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“…However, from the results, it is seen that in spite of the land area being vast, it is not facilitating in achieving the desired outcome in terms of a maximum SEDE. As already indicated, resources should never become a liability [66,67]. Immediate action is required for using this resource in an effective manner so as to enhance sustainability in terms of environmental and social indices for India.…”

Section: Discussionmentioning

confidence: 99%

Sustainability indices for energy utilization using a multi-criteria decision model

Suganthi

2020

Energ Sustain Soc

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Background: Energy and water availability are considered vital for a country's development. An exhaustive review of literature has been undertaken on indicators for sustainable energy development. In addition to energy and water, the resources of the country namely land availability, human capital, and nation's wealth were also found to be vital for sustainable energy development of any country. These resources have to be optimally used for sustainable energy development which is measured in terms of technical, economic, social, environmental, and institutional indices. Methods: In this research, a multi-criteria decision model was used to measure sustainable energy development efficiency. The natural resource of the country was considered as the input criteria, while the indices were used as the output criteria. This research is unique in finding if the country's resources are being utilized in an efficient manner for sustainable development using the multi-criteria fuzzy-analytical hierarchical processing-data envelopment analysis model. Results: From the fuzzy analytical hierarchical processing, it was found that experts were of the opinion that water availability and energy reserves were the most important parameters among the input resources, while environmental and social indices were opined to be the most important parameters among the output indices. Data envelopment analysis model was carried out using assurance region Charnes, Cooper, and Rhodes output-oriented method. The results revealed that Togo was the most efficient country with maximum sustainable energy development efficiency. Sensitivity analysis was also carried out to find which among the resources were sensitive with respect to energy sustainability for a specific country. Conclusion: The analysis can help countries to benchmark themselves against the country lying in the efficient frontier and draft policies to improve their energy sustainability indices. Similar analysis and comparison can be done for other countries, since this research analysis was carried out only for 48 developing countries.

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China and Natural Resource Curse in Developing Countries: Empirical Evidence from a Cross‐country Study

Cited by 15 publications

References 58 publications

Trouble in the Making?: The Future of Manufacturing-Led Development

Trouble in the Making?: The Future of Manufacturing-Led Development

At Africa's Expense? Disaggregating the Social Impact of Chinese Mining Operations

Sustainability indices for energy utilization using a multi-criteria decision model

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