647 research outputs found
Capital market opening and labour investment efficiency
The purpose of this research is to explore the impact of capital
market opening on inefficient labour investment of enterprises
and its impact path. This paper takes 2010â2019 A-share nonfinancial
listed companies in Shanghai Stock Exchange (SSE) and
Shenzhen Stock Exchange (SZSE) as research objects and samples,
and uses DID method to examine the impact of capital market
opening on labour investment efficiency of listed companies.We
collected 22567 pieces of data.The results show that the capital
market opening system significantly reduces inefficient labour
investment of enterprises, mainly through reducing the information
asymmetry and the agency costs as the main paths. This
research shows that the capital market opening is of positive significance
to the sustainable development of enterprises, and it
proposes targeted suggestions for the government, listed companies
and market investors to effectively reduce the inefficient
labour investment of enterprises. The research provides more
feasible references for capital market opening and corporate governance,
and also offers theoretical evidence for the implementation
of âShanghai-Hong Kong Stock Connectâ program
Optimal Fulfillment Strategies in an Omnichannel Retail Supply Chain
With the development of digital technologies, more and more brick-and-mortar stores are
starting to offer the online channel to sell their products. For example, Walmart and Whole Foods are selling fresh groceries from both their websites and store locations. As a result, such omnichannel retailers need to serve both online and in-store demand. To do that, the retailer may choose to fulfill online demand from a centralized distribution center (DC), or by utilizing inventory of stores. In this thesis, I explore the optimal fulfillment strategies of an omni-channel retailer. Firstly, consider customersâ behavior when they face online and in-store purchase options. Using utility theory, model customersâ behavior in preferring either channel. Secondly, I explore the impacts of retailersâ fulfillment choices on its inventory cost, shipping and delivery cost, as well as overall profitability. This thesis identifies conditions under which either fulfillment strategy (i.e., from DC or stores) is optimal. And find that the optimal fulfillment strategy is dependent on the total number
of stores, unit inventory cost at the stores and DC, unit delivery cost, product prices and number of stores. Case studies based on Manhattan and Los Angeles are provided to further investigate the retailer's fulfillment decision as well as the impacts of its pricing decision, and geographic and cost characteristics. For Manhattan, for both exogenous and endogenous price cases, the regions where store fulfillment are optimal first decrease and then increases as the total number of stores increases. For Los Angeles, the region where store fulfillment is optimal always increases with the total number of stores.Master of Science in EngineeringIndustrial and Systems Engineering, College of Engineering & Computer ScienceUniversity of Michigan-Dearbornhttps://deepblue.lib.umich.edu/bitstream/2027.42/154712/1/Wenqing Shi Final Thesis.pdfDescription of Wenqing Shi Final Thesis.pdf : Thesi
HighâPerformance Pseudocubic Thermoelectric Materials from Nonâcubic Chalcopyrite Compounds
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/107585/1/adma201400058-sup-0001-S1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/107585/2/adma201400058.pd
Hydropower reservoirs on the upper Mekong river modify nutrient bioavailability downstream
Hydropower development is the key strategy in many developing countries for energy supply, climate-change mitigation and economic development. However, it is commonly assumed that river dams retain nutrients and therefore reduce downstream primary productivity and fishery catches, compromising food security and causing trans-boundary disputes. Contrary to expectation, here we found that a cascade of reservoirs along the upper Mekong River increased downstream bioavailability of nitrogen and phosphorus. The dams caused phytoplankton density to increase with hydraulic residence time and stratification of the stagnant reservoirs caused hypoxia at depth. This allowed the release of bioavailable phosphorus from the sediment and an increase in dissolved inorganic nitrogen as well as a shift in nitrogen species from nitrate to ammonium, which were transported downstream by the discharge of water from the base of the dam. Our findings provide a new perspective on the environmental impacts of river dams on nutrient cycling and ecosystem functioning, with potential implications for sustainable development of hydropower worldwide
Entropy as a GeneâLike Performance Indicator Promoting Thermoelectric Materials
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138909/1/adma201702712.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138909/2/adma201702712-sup-0001-S1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138909/3/adma201702712_am.pd
Ultrahigh Thermoelectric Performance by Electron and Phonon Critical Scattering in Cu 2 Se 1âx I x
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102251/1/adma201302660.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102251/2/adma201302660-sup-0001-S1.pd
Micropollutant rejection by nanofiltration membranes: a mini review dedicated to the critical factors and modelling prediction
Nanofiltration (NF) membranes, extensively used in advanced wastewater treatment, have broad application prospects for the removal of emerging trace organic micropollutants (MPs). The treatment performance is affected by several factors, such as the properties of NF membranes, characteristics of target MPs, and operating conditions of the NF system concerning MP rejection. However, quantitative studies on different contributors in this context are limited. To fill the knowledge gap, this study aims to assess critical impact factors controlling MP rejection and develop a feasible model for MP removal prediction. The mini-review firstly summarized membrane pore size, membrane zeta potential, and the normalized molecular size (λ = rs/rp), showeing better individual relationships with MP rejection by NF membranes. The Lindeman-Merenda-Gold model was used to quantitatively assess the relative importance of all summarized impact factors. The results showed that membrane pore size and operating pressure were the high impact factors with the highest relative contribution rates to MP rejection of 32.11% and 25.57%, respectively. Moderate impact factors included membrane zeta potential, solution pH, and molecular radius with relative contribution rates of 10.15%, 8.17%, and 7.83%, respectively. The remaining low impact factors, including MP charge, molecular weight, logKow, pKa and crossflow rate, comprised all the remaining contribution rates of 16.19% through the model calculation. Furthermore, based on the results and data availabilities from references, the machine learning-based random forest regression model was trained with a relatively low root mean squared error and mean absolute error of 12.22% and 6.92%, respectively. The developed model was then successfully applied to predict MPsâ rejections by NF membranes. These findings provide valuable insights that can be applied in the future to optimize NF membrane designs, operation, and prediction in terms of removing micropollutants
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