Long-term Development Goals Research Articles

A new reading of the animal production subsidy program for the Saharan regions: Opportunities and constraints

Like in other Saharan regions, the Animal Production Subsidy Program has increased the herd in Ghardaia. The creation of breeding farms in such areas has generated specific dynamics through a set of measures that have had different impacts on the components of this sector. The data from the guides addressed to the various stakeholders illustrates that the management of the breeding farms presents shortcomings at different levels and even compromises its sustainability. In our model, around 49 % of farmers are renting their farmland, while 51 % are managing their own land. A significant portion of breeders (approximately 75.88 %) expresses the view that the main obstacle hindering the progress of these treatments is the insufficient availability of outreach programs. Applying this management results in young breeders abandoning the farms and using them for other activities. As a solution, the government must revise its agricultural programs and investments in order to achieve the long-term development goals that have been set. The measures to be taken are discussed to preserve the sector and explain the substantial investments made by the public authorities.

Land Transfer and Agricultural Modernization: Internal Mechanism and Empirical Testing

Agricultural modernization is the long-term goal of China's agricultural development and an important part of achieving Chinese path to modernization. Land transfer, as the direction of agricultural system reform, should play an important role in achieving agricultural modernization. Based on the provincial Panel data from 2011 to 2020, this paper theoretically and empirically analyzes and verifies the impact of land transfer on agricultural modernization. The results indicate that land transfer has a significant impact on the development of agricultural modernization in China, and the conclusion still holds after considering robustness tests such as replacing the dependent variable, tail reduction treatment, and lag treatment. Heterogeneity analysis indicates that land transfer has spatial heterogeneity in the development of agricultural modernization in China, with significant effects on the modernization of agriculture in the eastern and central regions, but not in the western regions. This paper provides new Empirical evidence for the related research of land circulation and agricultural modernization, and also provides relevant policies for accelerating land circulation to promote agricultural modernization.

Concept of sustainable human resources management

Sustainable human resources management is a new concept proposed by scientists as a response to the global transformation of the human resource management system in companies. The concept aims at the effective use of human resources to achieve the economic, social and environmental goals of an organization, without compromising the ability of future generations to meet their own needs. Sustainable human resource management aims at the harmonious and long-term development of all important stakeholders of the company – employees, organization and society. With the transition of the whole world towards sustainable development, this approach to human resource management is relevant. The attitude to development of employees and company with the strategy of long-term development positively influences such key indicators as satisfaction, loyalty, involvement of employees, and these indicators lead to the growth of productivity and development of the company as a whole. The purpose of this article is to reveal the essence of the concept of sustainable human resource management and to make the author’s model of the concept. The method of literature review on the basis of Scopus database for the whole period was applied in the work. The selection of works was carried out according to the method of the authors Schiederig, Titze, Herstatt in three stages. On the basis of the selected works the analysis of the origin and development of the concept was made, definitions were given, the main characteristics and models of the concept of sustainable human resource management were identified and systematized, and the author’s model of this concept was presented. The study can serve as a theoretical and practical basis in companies to achieve long-term development goals

The Impacts of Executive Equity on Green Corporate Innovation

Executive stock incentives, as an important tool for attracting talent and achieving long-term development goals, have a profound impact on the development of green innovation in enterprises. Based on this, this article uses data from Chinese listed companies from 2007 to 2020 and employs a two-way fixed effects model and a two-stage least squares method to explore the impact of executive stock incentives on green innovation in China. The study found that executive stock incentives have a significant positive impact on green innovation in enterprises. This promotional effect is more pronounced in non-state-owned enterprise groups characterized by operating losses, reduced institutional holdings, and fewer negative media reports. Mechanism analysis suggests that increasing the intensity of executive stock incentives can enhance profitability, increase tolerance for failure, and promote increased investment in green innovation. Finally, based on the conclusions, relevant policy implications are drawn.

Evaluating the Effect of Institutional Distance on the Bilateral Trade of China and EU

Under the trend of global economic integration, in order to achieve China’s long-term goal of sustainable economic development, China is committed to strengthening its bilateral trade with countries around the world. The EU have long played an important role in China’s foreign trade, but there are still many problems in China’s bilateral trade with the EU. Therefore, many scholars have conducted a series of studies on the factors affecting bilateral trade between China and the EU in attempt to find positive economic and trade strategies to promote bilateral trade between China and the EU. At present, there is a growing consensus among scholars that is “institutions determine trade”. However, the results of previous studies do not provide a quantitative analysis of the impact of institutional distance on bilateral trade between China and the EU. Thus, the research on the impact of institutional distance on bilateral trade between China and the EU is rather one-sided. However, in fact, different categories of institutional distance may have different impacts. Therefore, this paper presents a classification study of the specific impact of institutional distance on bilateral trade between China and the EU.

The Application of Deep Learning in Human Resource Management: A New Perspective on Employee Recruitment and Performance Evaluation

This article explores the application of deep learning in human resource management, focusing on new perspectives and impacts in the fields of employee recruitment and performance evaluation. Through literature review, theoretical framework construction, empirical research, and outcome discussion, it has been found that deep learning has significant advantages in employee recruitment and performance evaluation. In terms of employee recruitment, in-depth learning has improved the accuracy and efficiency of candidate selection, and provided comprehensive evaluation and selection decision support through Natural language processing and facial expression recognition technologies. In terms of performance evaluation, deep learning is based on multi-source data for performance analysis and employee potential prediction, providing personalized performance feedback and incentive measures. The application of deep learning in human resource management has a positive impact on organizational performance and employee development, improving the accuracy and efficiency of recruitment and evaluation, optimizing decision-making processes, and enhancing organizational competitiveness and employee development opportunities. However, deep learning still faces some challenges and limitations in human resource management, such as data privacy and security issues, as well as the demand for technical and professional talents. The conclusions of this study provide guidance and suggestions for the application of deep learning in employee recruitment and performance evaluation for human resource managers, helping them cope with management challenges and achieve long-term organizational development goals.

A Sustainable Development Evaluation Framework for Chinese Electricity Enterprises Based on SDG and ESG Coupling

In 2021, China’s power generation industry took the lead in launching carbon emissions trading, ushering in a major challenge and opportunity for the sustainable development of power enterprises. Assessing the sustainable development performance of power enterprises has become the key to the sustainable financing and development of power enterprises in this new developmental stage. Based on the integration of the long-term UN Sustainable Development Goals (SDGs) and the ESG (Environmental, Social, and Governance) evaluation indicators of listed companies, this paper constructed an index system for the evaluation of the sustainable development of electric power companies consisting of 75 indicators corresponding to four dimensions: economic, social, environmental, and governance. Given the vision for the sustainable development of electric power companies, the assessment thresholds for each indicator were determined by the practical exploration and typical progress assessment of SDGs. Aggregate assessment and dashboard assessment techniques for the sustainable development of electric power companies were established, and we conducted a robustness analysis of the evaluation system. The results revealed the following details: (1) The disclosure of sustainable development indicators of Chinese electricity enterprises was 94.13%, among which the four dimensions of economy, environment, society, and governance were 99.89%, 82.62%, 94.00%, and 97.71%, respectively. (2) The aggregate sustainable development index for Chinese power companies was 59.34, and the environment, society, governance, and economic scores were 62.10, 64.49, 76.79, and 41.37, respectively. (3) Based on the results of the dashboard, investment in innovation, public welfare, emissions of greenhouse gases, and economic sustainability are the key factors limiting the achievement of sustainable development. (4) The framework’s robustness analysis showed that the results of the evaluation of this paper’s indicator framework fell within a reasonable range of variation using different ranking and weighting systems. Chinese electricity companies should comprehensively control costs and expenses, strengthen capital management, expand funding channels, focus on enhancing R&D capabilities, enhance their scientific and technological innovation management systems, and improve their disclosure of information about greenhouse gas emissions, resource consumption and use, and employee issues to improve the overall level of sustainable development. The evaluation system developed in this paper further enriches the evaluation of corporate sustainability performance. This paper explored the application of the SDG index and dashboard construction methods at the national level to the evaluation of sustainability at the corporate level, providing a clear picture of corporate performance with respect to various dimensions, issues, criteria, and indicators.

Global 30 meters spatiotemporal 3D urban expansion dataset from 1990 to 2010

Understanding the spatiotemporal dynamics of global 3D urban expansion over time is becoming increasingly crucial for achieving long-term development goals. In this study, we generated a global dataset of annual urban 3D expansion (1990–2010) using World Settlement Footprint 2015 data, GAIA data, and ALOS AW3D30 data with a three-step technical framework: (1) extracting the global constructed land to generate the research area, (2) neighborhood analysis to calculate the original normalized DSM and slope height of each pixel in the study area, and (3) slope correction for areas with a slope greater than 10° to improve the accuracy of estimated building heights. The cross-validation results indicate that our dataset is reliable in the United States(R2 = 0.821), Europe(R2 = 0.863), China(R2 = 0.796), and across the world(R2 = 0.811). As we know, this is the first 30-meter 3D urban expansion dataset across the globe, which can give unique information to understand and address the implications of urbanization on food security, biodiversity, climate change, and public well-being and health.

RECYCLING DOMESTIC SEWAGE SLUDGE TO AGRICULTURAL AND FARMING AREAS IN LINE WITH SUSTAINABLE DEVELOPMENT GOALS (SDG)

Corresponding to the rapid increase in population, the increase in the number of domestic wastewater treatment plants, as well as the increase in domestic sludge levels above acceptable levels, pave the way to utilize sewage sludge in a variety of different applications and usage areas. Using sewage sludge in agriculture, landscape plant cultivation, and other agricultural areas has a number of advantages, including the ability to make rational use of waste without damaging the environment as well as delivering fertilizer benefits to the plant due to the high organic matter content of the wastewater sludge. Aside from these advantages, the most serious drawbacks of waste sewage are pathogenic bacteria, heavy metal contamination, and the presence of potentially hazardous compounds. The use of existing waste in the soil in appropriate proportions and in methods that are compatible with ecological life, on the other hand, will contribute to the fertilization of agricultural areas, providing an alternative to the fertilizer industry. The Sustainable Development Goals (SDGs), also known as the Global Goals, are a global call to action to end poverty, safeguard the environment, and guarantee that everyone lives in peace and prosperity. It is expected that this research will help to promote awareness about the reuse of waste within the context of a sustainable environment, as well as shed light on the application of sewage sludge to agricultural fields in accordance with the Sustainable Development Goals. Furthermore, the support for sewage sludge recycling in agricultural regions for long-term development goals is shown.

Corporate Social Responsibility and Green Technology Innovation: The Moderating Role of Stakeholders

With economic globalization, sustainable development has become the preferred choice of enterprises facing fierce competition. Innovation is the primary driving force of development. As the driving force of sustainable development, green technology innovation (GTI) is crucial for enterprises. As a key influencing factor for green technological innovation, corporate social responsibility (CSR) behavior has received increasing attention. Based on stakeholder theory, stakeholders influence enterprises’ long-term strategic development goals. This study aims to examine the importance of CSR in advancing GTI and the involvement of stakeholders. Thus, this study selected Chinese A-share listed companies from 2011 to 2020 as research objects and used fixed-effects regression models. The results identify the positive effects of CSR on GTI. This study also divided the stakeholders into different groups and elucidated, from different stakeholder perspectives, the positive moderating effects of government environmental subsidies, investor attention, and executive environmental attention on the relationship between CSR and GTI. This study verifies the direct impact of CSR on GTI, enriches the theoretical foundations of stakeholder theory and resource-based theory, and provides practical suggestions for enterprises to improve their social and environmental performance and green development. It also reveals the cognitive roles of governments, investors, and executives in environmental protection and governance, which will help Chinese enterprises to better fulfil their social responsibility, improve their own green technological innovation, and achieve sustainable development.

Where do people vulnerable to deforestation live? Triaging forest conservation interventions for sustainable non-timber forest products

Rural households in developing countries often depend on non-timber forest products (NTFPs), including foods, traditional medicines, fuelwood, fodder, and construction and craft materials such as bamboo and rattan, for their livelihoods, but the forests that supply NTFPs are subject to competition from other land uses. NTFP collectors who are unable to sustain their livelihoods because of changes caused in the NTFP collection environment by deforestation and degradation may even convert surrounding forests to agricultural land to compensate for their reduced incomes. This feedback loop of deforestation and degradation can create further conflicts among natural resource users and undermine long-term development goals. Here, we aimed to advance the discussion of forest conservation interventions in protected areas in developing countries—particularly the discussion of patrolling strategies in and around existing wildlife sanctuaries—by presenting a new approach that uses the case of NTFP collection and a human geography perspective. We used a structured questionnaire composed of closed questions to measure the awareness of village households of the impacts of deforestation and/or illegal extraction of trees on NTFP collection over a short period of time (2014–2016) near the Prey Long Wildlife Sanctuary in the eastern part of the Kampong Thom Province, Cambodia. Our survey was based on the conceptual framework of Bohensky and Lynam (Ecol. Soc. 10, 11; 2005) that people in complex adaptive systems change their behaviour after becoming aware of the impact or consequences of a change. The probability of a village having an affected household (i.e., a household that was aware of the impact) was predicted by using generalized linear mixed models. By using identified geospatial indicators of environmental and socioeconomic aspects, including distance between the village and the wildlife sanctuary, size of deforested area per capita in 2014–2016 within a 10-km radius of the village and proportion of households in the village that collect NTFPs for cash income, we predicted the spatial distribution of villages with affected NTFP-collecting households. Priority areas for NTFP collection were then mapped with reference to the identified indicators. By using these results, we present an approach to breaking the deforestation feedback loop by identifying priority areas for patrolling and other forest conservation interventions in the wildlife sanctuary.

Exploring the Impact of Contingency Theory on Sustainable Innovation in Malaysian Manufacturing Firms

This study looks at the impact of contingency theory on sustainable innovation in Malaysian manufacturing firms. A quantitative approach was used, with convenience sampling to select participants from a target population of Malaysian manufacturing employees. An online survey distributed via email was used to collect 101 sets of data for the study. PLS-SEM (Partial Least Squares Structural Equation Modeling) was used to analyze the collected data. According to the findings, corporate sustainable support policies and sustainable incentives have a significant positive impact on sustainable innovation in Malaysian manufacturing firms, whereas top management commitment was found to be insignificant. Companies that prioritize sustainable practices through policies and incentives are more likely to promote sustainable innovation, according to the findings. As a result, businesses should prioritize developing these two attributes in order to foster sustainable innovation, thereby improving sustainability practices and contributing to the country’s long-term development goals. Future research should, however, investigate why top management commitment may not be a significant driver of sustainable innovation in Malaysian manufacturing firms.

Does financial inclusion and renewable energy impede environmental quality: Empirical evidence from BRI countries

Financial inclusion is a critical element of economic development as a result of its contribution to the expansion of financial institutions and sectors in developing and developed countries. Therefore, using a sample of Belt and Road Initiative (BRI) countries, this research examines the effect of financial inclusion on CO2 emissions from 2005 to 2018. The CS-ARDL technique is applied to investigate the connection between CO2 emissions and financial inclusion. The financial inclusion index is measured using principal component analysis PCA). The study findings show that financial inclusion, financial development, FDI, trade openness, urbanization, and population have led to higher CO2 emissions in the region. Additionally, the increased renewable energy seems to have reduced CO2 emissions. The findings of this research are critical in the fight against pollution and the pursuit of long-term development goals. Financial inclusion goals must be brought into line with energy consumption patterns and environmental policies at the federal and state levels.

The relationship between renewable energy consumption, international tourism, trade openness, innovation and carbon dioxide emissions: international evidence

ABSTRACT The main concerns for nations worldwide in accomplishing long-term development goals are avoiding the adverse effects of climate change, lowering emissions, and enhancing environmental sustainability. This study examines the effects of 53 nations' use of renewable energy, trade openness, global tourism, and innovation on carbon emissions from 1990–2019 by using FMOLS, DOLS, GMMSystem estimator. The results demonstrate that renewable energy, trade openness, and innovation reduce emissions, whereas global travel increase environmental degradation. The findings have major policy implications for adopting trade openness policies to enhance environmental quality. Innovation that enhances the environment's quality for both country groups may be a remarkable discovery for the authorities. Findings suggest that renewable energy and technological innovation are essential for sustainable development.

Analyzing the critical success factors to implement green supply chain management in the apparel manufacturing industry: Implications for sustainable development goals in the emerging economies

Green supply chain management (GSCM) is an emerging concept of modern supply chain management (SCM) that integrates eco-friendly and ethical environmental concerns with the traditional supply chain by reducing the negative impacts of unsustainable manufacturing practices. Developed countries have already adopted different sustainable SCM practices. However, despite being one of the significant sources of export earnings in emerging economies like Bangladesh, the apparel manufacturing industry is still lagging in the case of GSCM implementation. This study, thereby, utilized an integrated multi-criteria decision-making (MCDM) approach, including gray theory and decision-making trial and evaluation laboratory (DEMATEL) method to identify, prioritize, and examine the relations among the critical success factors (CSFs) to implement GSCM practices in the Bangladeshi apparel manufacturing industry. The study initially identified the CSFs from the literature review. After expert validation, sixteen significant CSFs were finally analyzed by the gray-DEMATEL method. The findings revealed that 'demand from buyers', 'economic and tax benefits', and 'government rules and regulations' are the three most prominent CSFs to implement GSCM practices in the apparel manufacturing industry. The cause-effect relations among the CSFs were later explored, which indicated 'Economic and tax benefits' to be the most influencing and 'Supplier training and cooperation' to be the most influenced CSF. The study insights can potentially guide apparel industry managers in successfully implementing GSCM practices toward achieving long-term sustainability and sustainable development goals (SDGs).

Collaborative Governance and Environmental Regulation Measures for Pollution Reduction and Carbon Reduction in the Yangtze River Basin under the “Double Carbon” Goal

The Yangtze River Basin occupies an important position in the overall layout of China’s economic development. However, due to the increasing water pollution, the environment of the Yangtze River Basin continues to deteriorate, which hinders the long-term development and sustainable development goals of the Yangtze River Economic Belt. Therefore, this study started from the perspective of the reduction of coordinated pollution carbon. Then, through empirical analysis, the impact of environmental regulation measures in the Yangtze River Basin on industrial pollution control was studied. At the same time, the spatial eigenvector mapping (SEVM) method was used to explore the spatial impact of environmental regulation on carbon emissions. The results showed that the increase in the intensity of environmental regulation would lead to the expansion of the hidden economy, which would lead to the effect of environmental regulation weakening. There was an inverted “U” relationship between per capita real gross domestic product (GDP) and environmental pollution indicators. In addition, the expansion of foreign trade in the Yangtze River Economic Belt hada less inhibitory effect on ecological environmental protection than a promotional one. At the same time, command-type environmental regulation had a “green paradox” effect on carbon emissions in the Yangtze River Basin. The carbon emission reduction effect of implicit environmental regulation was different under different levels of incentive-type environmental regulation. The research showed that the multi-agent governance model could be further constructed from the interaction between the environmental regulation system and the administrative management system. It had a good effect on the coordinated treatment of pollution reduction and carbon reduction under the “double carbon” goal.

Research on Enterprise Internationalization Strategy from the Perspective of Resource Endowment

Resource endowment is a preferable theory to refer when analyzing the development and management of companies. In this era of globalization, international trade accounts more for the socialized division of labor, making significant contributions to the high efficiency of economic functioning. Hence, enterprises tend to value internationalization more when setting long-term development goals, actively participating in the global division of labor. The previous research and paper into this area are mentioned to explain the connection and difference between the findings of this article and previous research. In general, this article focuses on the internationalization of companies by studying Huawei as a case company in the perspective of resource endowment. It gives a brief introduction to the case company Huawei and conducting analysis on internal resource endowment of Huawei as a case study. In addition, analysis of external risks in internationalization of Huawei is carried out by utilizing PEST model. Then, this article makes some suggestions on how enterprises can better allocate internal resource endowment to face or avoid external risks. The aim of this article is to provide experience and reference to companies undertaking the internationalization, aiding more Chinese companies to develop internationally.

Research on the Policy Analysis of Sustainable Energy Based on Policy Knowledge Graph Technology—A Case Study in China

Nowadays, geopolitical, extreme weather and other emergencies have exacerbated the global energy crisis, and thus, have increased the urgency of the world’s transition to sustainable energy. Sustainable energy policies play an important role in the process of sustainable energy transformation. The research on sustainable energy policy is mainly carried out through conventional qualitative and quantitative methods, in which bibliometrics and meta-analysis methods are paid attention to; however, the mining and analysis of the semantics of the relationships between policies are ignored. This paper uses knowledge graph technology to build a knowledge graph of China’s sustainable energy policy by using 10,815 open official documents of sustainable energy policy issued by China from 1981 to 2022. It forms the relevant policy archive storage and details related organizations. The legal source can be traced through the graph database, where the powerful synergy can be seen, and the policy focus can be monitored. In terms of structural data, this paper uses graph algorithms to identify key policy nodes at different stages, to identify the key government departments for policy issuance and cluster policy issuance departments, and it investigates China’s policy evolution in the issue of sustainable energy policies, the evolution of policy issuance departments, and the power co-evolution process between policy issuance departments. The research found that: (1) China’s sustainable energy policy was initiated in environmental protection, and the relevant policies on collecting pollution charges has continued to play an important policy node. Additionally, the three versions of the Environmental Protection Law of the People’s Republic of China have successively become the main legal source of other sustainable energy transformation policies. (2) The prominent feature of China’s sustainable energy policy transformation has involved transforming the process where the issuance of policies came from a single department to the joint issuance of documents by multiple departments. The joint exercise of government functions and powers by multiple departments jointly promotes sustainable energy policies’ implementation and play. (3) In the future, when formulating sustainable energy policies, the Chinese government should focus on the strategic and systematic aspects of the policies, so that the sustainable energy policies can meet both short-term and long-term development goals. At the same time, the synergy of various policies and measures should be fully played in implementing sustainable energy policies. The establishment of the policy knowledge graph based on publicly-open official documents can facilitate the analysis and visualization of sustainable energy policies, providing new ideas for policy research. This paper introduces the knowledge graph, graph machine learning algorithms and big data technology, which can deepen the depth and breadth of people’s research on sustainable energy policy. This study will help the public policy formulation work in the future and has a positive reference value for the evaluation of the implementation effect of policy objectives.

Disaster-development interface and its impact on emerging vulnerability scenario in Ladakh region of northwestern Himalayas.

The Union Territory of Ladakh, located in the northwestern Himalayan region, is highly vulnerable to natural and anthropogenic hazards like earthquakes, landslides, snow avalanches, flash floods, cloud bursts, and border conflicts. Occurrences of these disasters have significantly influenced the development and vulnerability scenario of Trans-Himalayan Ladakh. Findings reveal that despite suffering losses from natural and human-induced disasters, the region has benefited by grabbing the attention of policymakers at the national level. Consequently, long-term developments were positively impacted, reflecting infrastructural upgradation, improved transportation and communication, profoundly improving the socio-economic well-being of the people. Furthermore, post-disaster developments have managed to showcase the unique physiography and adventurous terrains of Ladakh, promoting tourism as the main economic driver in the region. The exponential growth of tourism and associated sectors have influenced the vulnerability scenario, which was quantified using the multi-criterion-based analytical hierarchical processes (AHP) method, indicating an increase in climate change-related vulnerability, followed by socio-cultural, environmental, and physical vulnerabilities. Specifically, the vulnerabilities with respect to flash floods, landslides, erratic rainfall, haphazard constructions, cultural dilution, water crisis, and changes in land use patterns have been exacerbated across the study area. The study highlights the need for effective management of these emerging vulnerabilities through proper planning to ensure long-term sustainable development goals in this environmentally fragile region.

The Occupational Structure of Hill Korwa with Reference to Sarguja District

Tribals are an inseparable part of Indian society, and despite living in remote areas, their contribution to Indian culture and society is unparalleled. The development of these individuals is critical to India's long-term development goals. A sizable proportion of this population lives in far-flung and remote areas with hilly terrain. They primarily rely on forest products and agriculture for a living. The research focuses on their occupational structure as well as the impact of today's rapidly changing modern ecosystem on these individuals. The purpose of this study is to draw the attention of government officials to the research and development of the tribal people who live there.