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Using Shanghai as an example, the purpose of this paper is to perform grade evaluation and zoning for different land use spaces by GIS by identifying the major restrictive factors in current socio-economic development.

Based on short plate theory, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified, and urban land is divided into four subspaces and the restrictive grade evaluation of urban land subspace is achieved with GIS spatial analysis; then, land development zoning is processed according to the results of the evaluation.

In all, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified. The restrictive grades of the agricultural production, urban construction and ecological protection subspaces are mainly common, weak and weaker, and the relatively strong restrictive grade of industrial development subspace is mainly concentrated in the more developed industrial districts (counties). The areas of the common and good regions of constructive development and ecological development zones account for 87.4 and 98.3 per cent of each total area, respectively, and urban land still has significant development potential in Shanghai.

This paper proposes various urban land space evaluations and zoning strategies based on restrictive indicators and perspectives, enriching the ideas and methods of urban land use evaluation.

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.

Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.

Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.

The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

High-ductility cementitious composites (HDCC) have an excellent crack controlled capacity and corrosion resistance capacity, which has a promising application in structure engineering under harsh environment. The purpose of this study is to explore the corrosion mechanism of steel bar in HDCC.

Intact and the pre-cracked HDCC specimens under the coupled action of different dry–wet cycles and chloride attack were designed, and intact normal concrete (NC) was also considered for comparison. Corrosion behavior of a steel bar embedded in HDCC was analyzed by an electrochemical method, a chloride permeability test and X-ray computed tomography.

Steel corrosion probability is related to the chloride permeability of the HDCC cover, and the chloride permeability resistance of HDCC is better than that of NC. Besides, crack is the key factor affecting the corrosion of steel bars, and the HDCC with narrower cracks have a lower corrosion rate. Slight pitting occurs at the crack tips. In addition, the self-healing products and corrosion products fill up the cracks in HDCC, preventing the external aggressive ions from entering and thereby decreasing the steel corrosion rate.

HDCC has a superior corrosion resistance than that of NC, effects of variable crack width on corrosion behavior of steel bar in HDCC under the coupled actions of different dry–wet cycles and chloride attack are investigated, which can provide the guide for the design application of HDCC material in structure engineering exposed to marine environment.

This chapter focuses on testing optimal capital structure theory: The role of intervening variable debt to equity ratio (DER) on the influence of the financial performance, Ownership Structure of Independent Board of Commissioners (IBCO), Audit Committee (ACO), and Institutional Ownership on Firm Value. The research design was explanatory research using path analysis. Using purposive sampling, 61 manufacturing companies, observation period from 2014 to 2018 with 286 N samples. The research novelty empirically can prove the role of intervening variable DER on the effect of return on assets (ROA) on firm value and shows the market response to the ROA is fully reflected by DER, indicating the existence of an optimal capital structure. The role of DER on the effect of ROE and IBCO on firm value is a partial mediation with the inverse direction. This phenomenon shows that the mechanism of forming a balance between the responses of investors and creditors relates to debt financing.

Implementing green innovation is crucial for firms to build or sustain competitive advantages within the context of the sustainable development goals. Academic research has broadly explored how firms can induce green innovation behavior (GIB), examining external factors, but few studies in the current literature have deeply investigated unabsorbed slack as an internal antecedent of GIB. Drawing upon the behavioral theory of the firm and integrating it with dynamic capabilities theory, this study aims to address this deficiency by investigating the impact of unabsorbed slack on GIB and the mediating roles of two dimensions of capability reconfiguration: capability evolution and capability substitution in the relationship between unabsorbed slack and GIB. Furthermore, this study also discusses the moderating effects of consumer green pressure on the relationship between unabsorbed slack and capability evolution/substitution.

Survey data were collected from 286 Chinese technology-intensive manufacturing firms to empirically test the relationships among the variables.

The results reveal that unabsorbed slack has a positive influence on GIB. Furthermore, capability evolution and substitution both play mediating roles in the relationship between unabsorbed slack and GIB. Comparative analysis showed that the mediating effect of capability substitution is stronger than that of capability evolution. Moreover, consumer green pressure strengthens the positive relationship between unabsorbed slack and capability evolution/substitution.

This study enriches the research on the driving forces of GIB and contributes to providing managerial implications for firms to launch green innovation activities.

The purpose of this paper is to examine the effect of credit constraints on agricultural productivity in China.

Using data from a rural financial survey, a switching regression model is used to account for endogeneity and heterogeneity. Carter presents three ways that credit might affect the production functions; a shift along a given production surface by allowing an optimal level of inputs, a shift the production surface out by allowing the purchase of more efficient inputs, and the third is to increase net revenue by more intensive use of fixed inputs and resources. Thus, the effects of factors on agricultural productivity may not be independent of credit status; therefore, separate functions for credit‐constrained and non‐constrained households are examined.

Empirical estimates of the impacts of credit constraints on agricultural productivity are provided for the Heilongjiang province, a major agricultural production area, in Northeast China. By removing credit constraints, average agricultural productivity was estimated to be increased by 75 percent. Under credit constraints, labor inputs, along with a farmers' education, cannot be fully employed because of an inappropriate mix of inputs.

Young farmers may not be able to leverage their comparative advantage for physically intensive farm work under credit constraints. Because of data limitations, the research does not include information on informal credit in the estimation, which may underestimate the effects of credit constraints.

This study provides an analysis of the impacts of credit constraints on rural household productivity for the Heilongjiang province, a major agricultural production region, in Northeast China.

Drawing upon the natural resource-based view (NRBV), the present study explores the role of green dynamic capability (GDC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the hotel industry. The research further assesses green performance (GP) as a resultant factor of GI.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave, two-week time-lagged design (N = 303). In addition, the study also intends to apply partial least squares structural equation modeling (PLS-SEM) and fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GDC. The results show numerous combinations using fsQCA that can be utilized to increase GP.

There is little empirical evidence to study GTL and GI in hospitality studies. This work empirically investigates GTL, GDC and GI relationships to fill a knowledge gap. It also explains undiscovered factors and provides causal recipes to improve GP using fsQCA.

This study aims to propose a conceptual framework to examine the impact of corporate social responsibility (CSR) and green organizational culture (GOC) on green innovation with the moderating role of environmental, social and governance (ESG) disclosure in the Malaysian manufacturing industry.

The study is based on primary data to be collected from 204 manufacturing enterprises of consumers, products and services sector through a questionnaire that incorporates the five-point Likert scale. The exploratory factor analysis is proposed to be performed using SPSS 24.0 and confirmatory factor analysis is suggested to be conducted using AMOS.21 software to explore the factors and reliability of the items and to confirm the factorial structure of pertinent variables, respectively. Furthermore, partial least square structural equation modeling is proposed to investigate relationships between constructs and latent variables.

The proposed framework suggests that the comprehensive adoption of CSR and GOC with the moderating role of ESG disclosure has a significant and positive impact on green innovation.

This study provides insights into formulating strategies for enhancing green innovation and serves as a valuable resource for stakeholders for sustainable development in manufacturing enterprises.

To the best of the authors’ knowledge, regarding originality, this is the first attempt at conceptualizing the integrated framework of CSR, GOC, green innovation and ESG disclosure for collective examination that is likely to extend the existing literature. Furthermore, this study extends stakeholders and resource-based view theory by proving their utility in the perspective of CSR, GOC, green innovation and ESG disclosure to achieve environmental sustainability.

This study aims to investigate the role of green strategic alliances (GSAs) in fostering a green shared vision (GSVis) and green shared value (GSV) and their impact on green organizational identity (GOI) and sustainability.

The authors employed structural equation modeling to analyze data collected through a 60-item questionnaire administered in Portugal and China, allowing the authors to test their theoretical model.

The findings of the authors' study indicate that green strategic alliances have a positive influence on the development of a GSVis and GSV in both countries. This, in turn, contributes to improved sustainability and the establishment of a GOI. Furthermore, the authors' results demonstrate that these alliances enhance GSV, resulting in enhanced sustainability performance and a stronger green identity, with a notable increase in awareness of environmental and social practices.

This article is innovative as it applies organizational learning and value creation theories to gain a deeper understanding of how alliances can shape the green identity of companies and contribute to their overall sustainability.

The purpose of this study is to investigate the impact of corporate social responsibility (CSR) on innovation performance and examine the moderating role of social media strategic capability and big data analytics capability. Specifically, the authors explore the effects of both external and internal CSR on innovation performance.

The authors collected data from 221 senior, middle and research and development (R&D) managers of high-tech firms in China, using a questionnaire survey with a six-month interval.

The empirical results show that both external and internal CSR positively influence innovation performance. Furthermore, social media strategic capability has a positive moderating effect on the relationship between CSR and innovation performance, while big data analytics capability moderates the relationship between external CSR and innovation performance.

The data comes from high-tech firms in China, which may limit the generalizability and external validity of the findings. Future studies should replicate this study in other industries and types of organizations.

The study suggests that high-tech firms should engage in both external and internal CSR activities to promote innovation performance. Moreover, leveraging social media strategic capability and big data analytics capability can enhance innovation performance.

This study contributes to the literature on CSR outcomes by empirically exploring the effects of external and internal CSR on innovation performance, thus extending stakeholder theory. Additionally, by revealing the contingency effects of social media strategic capability and big data analytics capability, this study enriching the research on dynamic capabilities theory in the context of digital transformation.