62 research outputs found

    Import Competition and Quality Upgrading

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    It is important to understand the factors that influence a country's transition from the production of low-quality to high-quality products since the production of high-quality goods is often viewed as a pre-condition for export success and, ultimately, for economic development. In this paper, we provide the first evidence that countries' import tariffs affect the rate at which they upgrade the quality of their products. We analyze the effect of import competition on quality upgrading using highly disaggregated export data to the U.S. from fifty-six countries in 10,000 products using a novel approach to measure quality. As predicted by recent distance to the frontier models, we find that lower tariffs are associated with quality upgrading for products close to the world quality frontier, whereas lower tariffs discourage quality upgrading for products distant from the frontier.

    Trade Liberalization and Embedded Institutional Reform: Evidence from Chinese Exporters

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    If trade barriers are managed by inefficient institutions, trade liberalization can lead to greater-than-expected gains. We examine Chinese textile and clothing exports before and after the elimination of externally imposed export quotas. We find that the surge in export value and decline in export prices following quota removal is driven by net entry, and show that this dominance is inconsistent with use of a productivity-based allocation of quota licenses by the Chinese government. Our counterfactual implies that elimination of misallocated quotas raised the overall productivity gain of quota removal by 28 percent.

    Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine

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    Urbanization often occurs in an unplanned and uneven manner, resulting in profound changes in patterns of land cover and land use. Understanding these changes is fundamental for devising environmentally responsible approaches to economic development in the rapidly urbanizing countries of the emerging world. One indicator of urbanization is built-up land cover that can be detected and quantified at scale using satellite imagery and cloud-based computational platforms. This process requires reliable and comprehensive ground-truth data for supervised classification and for validation of classification products. We present a new dataset for India, consisting of 21,030 polygons from across the country that were manually classified as ā€œbuilt-upā€ or ā€œnot built-up,ā€ which we use for supervised image classification and detection of urban areas. As a large and geographically diverse country that has been undergoing an urban transition, India represents an ideal context to develop and test approaches for the detection of features related to urbanization. We perform the analysis in Google Earth Engine (GEE) using three types of classifiers, based on imagery from Landsat 7 and Landsat 8 as inputs. The methodology produces high-quality maps of built-up areas across space and time. Although the dataset can facilitate supervised image classification in any platform, we highlight its potential use in GEE for temporal large-scale analysis of the urbanization process. Our methodology can easily be applied to other countries and regions

    The Role of Intermediaries in Facilitating Trade

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    We provide systematic evidence that intermediaries play an important role in facilitating trade using a firm-level the census of China's exports. Intermediaries account for around 20% of China's exports in 2005. This implies that many firms engage in trade without directly exporting products. We modify a heterogeneous firm model so that firms endogenously select their mode of export - either directly or indirectly through an intermediary. The model predicts that intermediaries will be relatively more important in markets that are more difficult to penetrate. We provide empirical confirmation for this prediction, and generate new facts regarding the activity of intermediaries.

    Multi-product Firms and Product Turnover in the Developing World: Evidence from India

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    Recent theoretical work predicts that an important margin of adjustment to deregulation or trade reforms is the reallocation of output within firms through changes in their product mix. Empirical work has accordingly shifted its focus towards multi-product firms and their product mix decisions. Existing studies have however focused exclusively on the U.S. Using detailed firm-level data from India, we provide the first evidence on the patterns of multi-product firm production in a large developing country during a period (1989-2003) that spans large-scale trade and other market reforms. We find that in the cross-section, multi-product firms in India look remarkably similar to their U.S. counterparts, confirming the predictions of recent theoretical models. The time-series patterns however exhibit important differences. In contrast to evidence from the U.S., product churning--particularly product rationalization -- is far less common in India. We thus find little evidence of "creative destruction". We also find no link between declines in tariffs on final goods induced by India's 1991 trade reform and product dropping. The lack of product dropping is consistent with the role of industrial regulation in India, which, like in many other developing countries, may prevent an efficient allocation of resources.

    Language barriers in multinationals and knowledge transfers

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    We study communication frictions within multinationals (MNCs), hypothesizing that language barriers reduce management knowledge transfers within the organization. A distinct feature of such MNCs is a three-tier hierarchy: foreign managers (FMs) supervise domestic managers (DMs) who supervise production workers. Tailored surveys from our setting ā€“ MNCs in Myanmar ā€“ reveal that language barriers impede interactions between FMs and DMs. A first experimental protocol offers DMs free English courses and confirms that lowering communications costs increases their interactions with FMs. A second experimental protocol that asks human-resource managers at domestic firms to rate hypothetical resumes reveals that multinational experience and, specifically, DM-FM interactions are valued in the domestic labor market. Together, these results suggest that reducing language barriers can improve transfers of management knowledge, an interpretation supported by improvements in soft skills among treatment DMs in the first experiment. A model in which communication within MNCs is non-contractible ā€“ a realistic feature of workplace life ā€“ reveals that the experimental results are consistent with underinvestment in language training and provide a rationale for policy intervention

    Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan

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    This paper studies technology adoption in a cluster of soccer-ball producers in Sialkot, Pakistan. Our research team invented a new cutting technology that reduces waste of the primary raw material. We allocated the technology to a random subset of producers. Despite the arguably unambiguous net benefits of the technology for nearly all firms, after 15 months take-up remained puzzlingly low. We hypothesize that an important reason for the lack of adoption is a misalignment of incentives within firms: the key employees (cutters and printers) are typically paid piece rates, with no incentive to reduce waste, and the new technology slows them down, at least initially. Fearing reductions in their effective wage, employees resist adoption in various ways, including by misinforming owners about the value of the technology. To investigate this hypothesis, we implemented a second experiment among the firms to which we originally gave the technology: we offered one cutter and one printer per firm a lump-sum payment, approximately equal to a monthly wage, that was conditional on them demonstrating competence in using the technology in the presence of the owner. This incentive payment, small from the point of view of the firm, had a significant positive effect on adoption. We interpret the results as supportive of the hypothesis that misalignment of incentives within firms is an important barrier to technology adoption in our setting
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