Regional concentration of FDI in post-reform India: A district-level analysis

Bickenbach, Frank; Liu, Wan–Hsin; Nunnenkamp, Peter

doi:10.1080/09638199.2014.955869

Cited by 9 publications

(11 citation statements)

References 37 publications

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“…However, one could have expected a significantly positive effect of the FDI variable on the allocation of aid for transportation and energy. The strong concentration of FDI projects in a few relatively advanced Indian districts (Bickenbach et al., ), in combination with the large number of zero observations for sector‐specific aid at the district level, may at least partly account for the absence of such an effect in columns (4) and (5) of Table .…”

Section: Resultsmentioning

confidence: 99%

Need, Merit and Politics in Multilateral Aid Allocation: A District‐level Analysis of World Bank Projects in India

Nunnenkamp

Öhler

Andrés³

2016

Review Development Economics

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We assess the targeting of foreign aid within recipient countries by employing Poisson estimations on the determinants of the World Bank's allocation of project aid at the district level in India. The evidence of needs-based location choices is very weak as long as the poverty orientation of overall commitments is taken as the yardstick. It is only for some sectors that we find stronger indications of needs-based allocation when combining sector-specific commitments with corresponding measures of need. The evidence for a merit-based allocation of World Bank aid is even weaker. We typically do not find evidence that aid allocation is affected by political patronage at the state or district level. However, the World Bank prefers districts where foreign direct investors may benefit from projects related to infrastructure.

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Section: Resultsmentioning

confidence: 99%

Need, Merit and Politics in Multilateral Aid Allocation: A District‐level Analysis of World Bank Projects in India

Nunnenkamp

Öhler

Andrés³

2016

Review Development Economics

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“…Thus, this paper uses the Theil index to calculate the regional differences in carbon emissions from China’s agricultural production. The Theil index is defined as follows [ 29 , 30 , 31 ]:

…”

Section: Methodologiesmentioning

confidence: 99%

Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China

Pang

et al. 2020

IJERPH

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The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west.

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“…Therefore, this paper constructs the Investment Abroad Concentration index that can estimate the concentration of investments abroad. As this index is created based on the Theil Entropy index that can capture deviations from a perfectly equal distribution [ 5 , 6 ], a portfolio is considered insufficiently diversified when investors concentrate their investments abroad in only a few foreign markets.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty avoidance and investment underdiversification

Tang

Zhou

2022

PLoS ONE

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The relationship between the cultural dimension of uncertainty avoidance and investment underdiversification is examined. A theoretical link between uncertainty avoidance and ambiguity is established, that is, cultural uncertainty avoidance captures the aversion attitude towards ambiguity at the national group level, thus, cultural dimension of uncertainty avoidance influences investors’ behavioral biases of home bias and the investment abroad concentration. The empirical results show that investment underdiversification is significantly and positively affected by the degree of uncertainty avoidance and robustness tests support this conclusion. A further analysis reveals that uncertainty avoidance moderates the effects of ambiguity on investment underdiversification, whereas the effects of uncertainty avoidance are mediated by the status quo bias.

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Regional concentration of FDI in post-reform India: A district-level analysis

Cited by 9 publications

References 37 publications

Need, Merit and Politics in Multilateral Aid Allocation: A District‐level Analysis of World Bank Projects in India

Need, Merit and Politics in Multilateral Aid Allocation: A District‐level Analysis of World Bank Projects in India

Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China

Uncertainty avoidance and investment underdiversification

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