4 resultados para Districts

em Academic Research Repository at Institute of Developing Economies


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This paper explores intra-state disparity in access to electricity and examines the determinants of electrification at the village level in Bihar, one of the underdeveloped states in India. Our field survey of 80 villages in 5 districts conducted in 2008-09 found that 48 villages (60%) are electrified when using the definition of electrification that a village is electrified if any one household in the village is connected to electricity. The degrees of “electrification” in terms of the proportion of household connection and available hours of electricity remain by and large low, and at the same time differ across districts, villages and seasons. In the processes of electrification, approximately 40% of villages have been electrified in recent years. Based on the basic findings of the survey, this paper examines the electrification processes and how it has changed in recent years. The econometric analyses demonstrate that location is the most important determinant of a village’s electricity connection. Another important finding is that with the rapid progress of rural electrificationunder the recent government programme and the tendency to connect the villages which are easily accessible, the collective bargaining power of the village, which used to significantly affect the process of electrification, has lost influence. This adversely affects remote villages. In order to extend electricity supplies to remote and geographically disadvantaged villages, the government needs to consider seriously other options for sustainable electricity supply, such as decentralized distribution of electricity rather than the conventional connection through the national/local grids.

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Many studies find that agricultural markets in developing countries are poorly integrated spatially. Traders' regional arbitrage plays a key role in integrating markets across space. We investigate the performance of regional arbitrage and the associated obstacles for rice traders in Antananarivo, Madagascar. On the basis of a trader-level biweekly survey spanning 2012–2013, we find that traders are not fully exploiting the regional arbitrage opportunities: most of them fail to purchase from the cheapest district and are paying higher prices than those in the cheapest district. One apparent obstacle is obtaining price information from many different regions. To reduce search costs, we provided regional price information via SMS to randomly selected traders, but found that this had a null-effect on improving arbitrage performance. Traders tend to concentrate on trading with a few fixed districts, even if they are informed about cheaper prices in other new districts, because they worry about quality uncertainty and the trustworthiness of new partners. These findings suggest that not only transmission of price information but also issues related to produce quality and matching prevent the performance of arbitrage and market integration.

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In this study, we examine the voting behavior in Indonesian parliamentary elections from 1999 to 2014. After summarizing the changes in Indonesian parties' share of the vote from a historical standpoint, we investigate the voting behavior with simple regression models to analyze the effect of regional characteristics on Islamic/secular parties' vote share, using aggregated panel data at the district level. Then, we also test the hypothesis of retrospective economic voting. The results show that districts which formerly stood strongly behind Islamic parties continued to select those parties, or gave preference to abstention over the parties in some elections. From the point of view of retrospective economic voting, we found that districts which experienced higher per capita economic growth gave more support to the ruling parties, although our results remain tentative because information on 2014 is not yet available.

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There are conventional methods to calculate the centroid of spatial units and distance among them with using Geographical Information Systems (GIS). The paper points out potential measurement errors of this calculation. By taking Indian district data as an example, systematic errors concealed in such variables are shown. Two comparisons are examined; firstly, we compare the centroid obtained from the spatial units, polygons, and the centre of each city where its district headquarters locates. Secondly, between the centres represented in the above, we calculate the direct distances and road distances obtained from each pair of two districts. From the comparison between the direct distances of centroid of spatial units and the road distances of centre of district headquarters, we show the distribution of errors and list some caveats for the use of conventional variables obtained from GIS.