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The purpose of this paper is to explore the causality between social security policies and farmland reallocation in rural China.

It quantitatively analyzes the impact of each ongoing social security policy on farmland reallocation based on a data set from the 2011 China Health and Retirement Longitudinal Study (CHARLS, 2011).

The study finds that the inclination of a village farmers’ collective to reallocate farmland due to changes in the village population increased if social security policies do not effectively cover the village because farmers rely primarily on income from farmland to cover their basic living expenses. However, if social security policies provide adequate coverage, then farmers do not rely entirely on on-farm income and the likelihood of farmland reallocation decreases. Furthermore, the effectiveness of social security policies includes not only coverage but also the sufficiency of the security policies provided.

First, the authors use only cross-sectional data in this study, which may result in biased estimation and also limit temporal examination of the impact of social security systems, farmland reallocation and related policy variables. This limitation may be especially important in China because the country is undergoing a rapid socioeconomic transition. However, the research is constrained by the available data. Furthermore, there could be endogeneity problems that are difficult to address, given the current data set. These problems could involve the impacts of village-level economic, natural and social variables, the implementation of related public policies (land development and consolidation, land expropriation, etc.) and other economic variables.

These findings may provide implications for related policy reform in the near future.

These findings may facilitate a recognition and understanding of the causality between social security policies and farmland reallocation in rural China.

The purpose of this paper is to measure TFP growth and job reallocation in the Vietnamese manufacturing industry after the Doimoi period.

The study uses firm-level panel data from Vietnam’s annual enterprise survey data for 2000–2016 period in the Vietnamese manufacturing industry using Olley–Pakes static and dynamic productivity decomposition methods.

The aggregate productivity estimated from the WRDG method increased 2.323 percent, of which over 40 percent is due to the reallocation toward more productive firms. Olley–Pakes dynamic decomposition according to ownership, scale and industry shows that the contribution of private and state-owned firms and the contribution of small and medium firms and large firms to the TFP growth are 133, −33 percent, 58.56 and 41.44 percent, respectively. The within-firm productivity and net entry components are the main reasons for TFP growth rather than reallocation. The results show that the composition of the aggregate TFPs, estimated from WRDG, OP, LP and ACF, is correlated very high (over 80 percent) except for net entry components.

The major limitation of this study is that the authors compute an aggregate productivity index using actual employment-based shares (still misallocation in labor), rather than optimal employment-based shares (no misallocation in labor).

Job reallocation between industries is attracting attention in developing countries, especially transition economies. However, knowledge about job reallocation among industries is limited. This paper assesses the level of job reallocation among private and state-owned firms, small and medium firms and large firms in Vietnam.

The purpose of this paper is to study the reallocation of initial public offering (IPO) shares to retail investors, non-institutional buyers (NIBs) and qualified institutional buyers (QIBs). The authors examine how the reallocation process is related to the pricing decision of the underwriter. The authors also examine the long-run performance of the IPOs classified on the basis of the highest reallocation by retail investors, NIBs and QIBs.

The authors use regression analysis as well as 2SLS and three-stage least squares models to test the hypotheses. For long-run performance analysis, the authors adopt Carhart’s (1997) four-factor model.

First, the authors provide evidence that the reallocation of IPO shares for retail investors, NIBs and QIBs is frequent. Second, all three categories of investors are treated differently in the reallocation of underpriced shares. Third, the authors find that the reallocation and pricing strategies are interdependent and both the strategies are used by the underwriter to reward and favor retail investors for showing high level of demand. The authors find that in India, underwriters reward retail investors. Lastly, even though underwriters favor retail investors for reallocation, the authors find that IPOs which receive highest reallocation to retail investors perform poorly in the long run.

This paper is the first paper to show evidence of reallocation of IPO shares by underwriters for an emerging market. The paper is different from other papers as the regulatory regime present in the Indian markets is different from other markets.

Recent works on the structural transformation of developing countries usually include only a few countries because of the availability of data. Beyond the resulting lack of representativeness, these works also hit a strong disparity between the labour reallocation patterns of sub-regions. This paper devoted to sub-Saharan Africa, evaluates the performance of sub-Saharan Africa, as a whole, in structural transformation using a more exhaustive database and highlights key disparities that exist between the performances of sub-Saharan African sub-regions.

With a database covering 43 sub-Saharan African countries classified into 4 sub-regions, the paper uses the shift-share method over the period 1991–2012 with sub-periods of 1991–2000 and 2000–2012.

Results show that labour reallocation in sub-Saharan Africa occurred, though weakly, towards more productive activities over the period 1991–2012. Results also show a significant disparity between sub-regions' labour reallocation pattern. While East Africa has experienced a labour reallocation towards more productive activities, West Africa has seen a labour reallocation towards activities experiencing an increase in productivity. Central Africa and Southern Africa experienced a labour reallocation towards less productive activities, and these activities know, moreover, a decrease of productivity.

Findings suggest that any political strategy purposing to coordinate structural transformation in sub-Saharan Africa will result in a failure if countries' peculiarities are not taken into account.

This paper offers a representative picture of sub-Saharan Africa's structural transformation and illustrates disparities between its sub-regions' performances.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.

This study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.

The empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).

Although some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.

Work crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.

The proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.

A case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.

The proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.

This article considers real options approaches through the lens of firm's resource reallocation processes. It explores some potential drivers and consequences of mismatches between initial resource allocation logics and subsequent reallocation realities, highlighting a process of rational escalation in the presence of sunk costs. It also presents a new perspective on the traditional stage-gate process, and considers some recent empirical evidence on the efficiency of resource reallocation processes in organizations.

Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.

The purpose of this paper is to investigate the economic impacts of intra- and inter-regional water reallocation on sectoral transformation and economic growth.

A multi-sector, Ramsey-type growth model is fit to Chinese data and used to perform policy experiments.

An intra-regional water reallocation increases per capita gross domestic product (GDP) by about 1.5 percent per year over the period 2000-2060. The aggregate potential welfare gain due to this reallocation is 1002.51 billion RMB. Transferring water from southern to northern China via the South-North Water Transfer Project, on average, has a negligible impact on per capita GDP over the period 2000-2060, but aggregate welfare increases by 557.23 billion RMB. Combining intra-regional and inter-regional water reallocations, on average, increases per capita GDP by 0.38 percent per year over the period and the aggregate welfare gain from this combination is 1148.06 billion RMB. Each policy scenario has implications for long-run regional production patterns: In an intra-regional reallocation scenario, Southern China produces almost 70 percent of aggregate GDP, in the inter-regional transfer it produces 58 percent of aggregate GDP, while in a combined intra/inter-regional reallocation it produces 55 percent of aggregate GDP.

This analysis can serve as a template for developing a useful planning tool that one can fit to national or regional data and use to examine a variety of policy relevant questions.