scholarly journals Absorptive capacity facilitates adaptation to novel environmental disasters

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259368
Author(s):  
So-Min Cheong ◽  
Valentina A. Assenova
Keyword(s):  
Absorptive Capacity ◽  
Resource Use ◽  
Simultaneous Equation ◽  
Coastal Communities ◽  
Community Adaptation ◽  
Material Resources ◽  
Environmental Disasters ◽  
Representative Random Sample ◽  
The Relationship ◽  
Simultaneous Equation Models

Absorptive capacity–the ability to learn and apply external knowledge and information to acquire material resources–is an essential but overlooked driver in community adaptation to new and unprecedented disasters. We analyzed data from a representative random sample of 603 individuals from 25 coastal communities in Louisiana affected by the Deepwater Horizon oil spill. We used simultaneous equation models to assess the relationship between absorptive capacity and resource acquisition for affected individuals after the disaster. Results show that the diversity of individuals’ prior knowledge coupled with the community’s external orientation and internal cohesion facilitate resource use. They go beyond simply providing resources and demonstrate individual and community features necessary for absorbing information and knowledge and help devise adaptation strategies to address the dynamics of changing economic, social, and political environment after the disaster.

scholarly journals Green Manure Planting Incentive Measures of Local Authorities and Farmers’ Perceptions of the Utilization of Rotation Fallow for Sustainable Agriculture in Guangxi, China

2019 ◽  
Vol 11 (10) ◽  
pp. 2723 ◽  
Author(s):  
Leonard Ntakirutimana ◽  
Fuduo Li ◽  
Xianlei Huang ◽  
Shu Wang ◽  
Changbin Yin
Keyword(s):  
Sustainable Agriculture ◽  
Green Manure ◽  
Carbon Capture ◽  
Simultaneous Equation ◽  
Environmental Benefits ◽  
Local Authorities ◽  
Target Region ◽  
Willingness To Adopt ◽  
The Relationship ◽  
Simultaneous Equation Models

Planting green manure in fallow croplands in winter can bring various economic and environmental benefits, including increased food production, carbon capture and sequestration, soil retention, sandstorm prevention, water retention, and provision of habitat for biodiversity. However, the increased production cost of planting green manure reduces farmers’ willingness to adopt this approach, which is unfavorable for its sustainability. This research aims to investigate the influence of instrumental variables on farmers’ perceptions of sustainable agriculture practices, especially the use of rotation fallow, and tries to understand the relationship between farmers’ perceptions of using rotation fallow and planting green manure under incentive measures adopted by local authorities in Guangxi Province, China. Using simultaneous equation models, the results show that subsidies and planting training were the most important drivers for restoring green manure planting in the target region. These incentive measures could be further enhanced as a priority to restore green manure planting. The study also finds that socioeconomic factors such as farmer’s income, area of farmland, and labor for agricultural production have a certain influence on planting green manure planting and on farmers’ perceptions of using rotation fallow as a form of sustainable agriculture practice.

INNOVATION CAPABILITY, ABSORPTIVE CAPACITY AND SMES PERFORMANCE IN PAKISTAN: THE MODERATING EFFECT OF BUSINESS STRATEGY

2018 ◽  
Vol 13 (Number 2) ◽  
pp. 1-11
Author(s):  
Muhammad Zulqarnain Arshad ◽  
Darwina Arshad
Keyword(s):  
Economic Growth ◽  
Absorptive Capacity ◽  
Business Strategy ◽  
Innovation Capability ◽  
Research Directions ◽  
Conceptual Paper ◽  
And Performance ◽  
New Research ◽  
The Relationship ◽  
Crucial Part

The small and medium-sized enterprises (SMEs) play a crucial part in county’s economic growth and a key contributor in country’s GDP. In Pakistan SMEs hold about 90 percent of the total businesses. The performance of SMEs depends upon many factors. The main aim for the research is to examine the relationship between Innovation Capability, Absorptive Capacity and Performance of SMEs in Pakistan. This conceptual paper also extends to the vague revelation on Business Strategy in which act as a moderator between Innovation Capability, Absorptive Capacity and SMEs Performance. Conclusively, this study proposes a new research directions and hypotheses development to examine the relationship among the variables in Pakistan’s SMEs context.

The Links between the Companies Market Price Quality and that of its Management and Business Quality: A System Panel Data Approach

GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 28-38
Author(s):  
Dinis Daniel Santos ◽  
Elias Soukiazis
Keyword(s):  
Panel Data ◽  
Business Performance ◽  
Market Price ◽  
Equation System ◽  
Simultaneous Equation ◽  
System Equation ◽  
Simultaneous Equation System ◽  
Management Quality ◽  
The Relationship

This work uses a simultaneous equation system approach to analyze the relationship between the management and business quality of companies and their market price quality. Using panel data we found that both the management and the business quality of companies positively influence the market price quality of the studied American companies. Additionally, variables like the actual position of the company price quality compared to the industry average, being on the top or the bottom, or the beta value of a company, also influence the market price quality of the respective company. It is shown that the system equation approach is the most appropriate to explain the linkages between price, business, and management quality providing consistent estimates. Also, using ratings to express the three core variables in the system is the most adequate way to define the quality characteristics in terms of price, management, and business performance of the companies considered in this study.

scholarly journals Estimating Simultaneous Equation Models through an Entropy-Based Incremental Variational Bayes Learning Algorithm

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 384
Author(s):  
Rocío Hernández-Sanjaime ◽  
Martín González ◽  
Antonio Peñalver ◽  
Jose J. López-Espín
Keyword(s):  
Statistical Theory ◽  
Learning Algorithm ◽  
Real Life ◽  
Simulated Data ◽  
Simultaneous Equation ◽  
Variational Bayes ◽  
Parameter Estimates ◽  
Step Method ◽  
The One ◽  
Simultaneous Equation Models

The presence of unaccounted heterogeneity in simultaneous equation models (SEMs) is frequently problematic in many real-life applications. Under the usual assumption of homogeneity, the model can be seriously misspecified, and it can potentially induce an important bias in the parameter estimates. This paper focuses on SEMs in which data are heterogeneous and tend to form clustering structures in the endogenous-variable dataset. Because the identification of different clusters is not straightforward, a two-step strategy that first forms groups among the endogenous observations and then uses the standard simultaneous equation scheme is provided. Methodologically, the proposed approach is based on a variational Bayes learning algorithm and does not need to be executed for varying numbers of groups in order to identify the one that adequately fits the data. We describe the statistical theory, evaluate the performance of the suggested algorithm by using simulated data, and apply the two-step method to a macroeconomic problem.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

Research on the hydrographic survey cycle for updating navigational charts

2021 ◽  
pp. 1-13
Author(s):  
Jing Duan ◽  
Xiaoxia Wan ◽  
Jianan Luo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Calculation Model ◽  
Impact Factors ◽  
Factors Affecting ◽  
Material Resources ◽  
Hydrographic Survey ◽  
Survey Planning ◽  
The Impact ◽  
The Relationship

Abstract Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

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