The impact of transport routes on Kazakhstan’s agro-industrial complex considering ESG approaches

Problems and Perspectives in Management, Journal Year: 2025, Volume and Issue: 23(1), P. 656 - 672

Published: March 27, 2025

This study aims to investigate the relationship between environmental sustainability, social development, and governance within Kazakhstan’s agro-industrial complex. The paper applies econometric modeling statistical analysis assess these relationships provide strategic recommendations for sustainable development. A dataset from 2013 2023, sourced Bureau of National Statistics Republic Kazakhstan, was utilized influence transit routes agriculture on ESG performance. Principal component (PCA) regression identified three key components – (84.3%), (98.4%), (88.33%) as significant contributors variability. results demonstrate that flows positively affect indicators (β = 0.266, p 0.050), while activity has mixed effects: improved sustainability but increased pressure. combined impact corridors complex provides a more comprehensive explanation variability (R² 0.998), reinforcing need integrated policy approaches. findings highlight importance aligning infrastructure development with frameworks. contributes discourse by offering practical insights policymakers optimizing logistics agricultural strategies promote adoption, particularly in agriculture-dependent economies. AcknowledgmentsThis is funded Science Committee Ministry Higher Education Kazakhstan (Grant “Strategy structural technological modernization basic sectors economy based ESG: criteria, mechanisms forecast scenarios” BR24993089).

Language: Английский

Examining trend and synergistic development of China’s ‘new three’ industries, China-Europe trade, and China Railway Express

All Earth, Journal Year: 2024, Volume and Issue: 37(1), P. 1 - 22

Published: Dec. 12, 2024

This paper investigates the synergistic development of China's 'new three' industries, referring to electric vehicles, lithium batteries, and solar China Railway Express (CR-Express), China-Europe trade. Using panel data from 2017 2023, we first disclose trend industries Secondly, relationship among CR-Express trade are demonstrated form spatiotemporal correlations perspective based on correlation regression analysis. Thirdly, is evaluated qualitative quantitative analysis method. Our findings show: 1) show an upward export Europe, aligning with CR-Express; 2) The between exports shows strong interconnections, particularly vehicles batteries (0.988). Besides, CR-Express's 0.952, demonstrating its role in enhancing trade; 3) A sensitivity vehicle via suggests importance timing for optimising access European markets. results underscore how transportation infrastructure industrial growth can reinforce each other, reshaping patterns offering valuable guidance policymakers stakeholders.

Language: Английский

Research and Prediction Analysis of Key Factors Influencing the Carbon Dioxide Emissions of Countries Along the “Belt and Road” Based on Panel Regression and the A-A-E Coupling Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11014 - 11014

Published: Dec. 16, 2024

With the in-depth implementation of China’s “Belt and Road” strategic policy, member countries along Belt Road have gained enormous economic benefits. Thus, it is important to accurately grasp factors that affect carbon emissions coordinate relationship between development environmental protection, which can impact living environment people worldwide. In this study, researchers gathered data from World Bank database, identified key indicators significantly impacting emissions, employed Pearson correlation coefficient random forest model perform dimensionality reduction on these indicators, subsequently assessed refined using a panel regression examine significance across various country types. To ensure stability results, three prediction models were selected for coupling analysis: adaptive neuro-fuzzy inference system (ANFIS) field machine learning, autoregressive integrated moving average (ARIMA) model, exponential smoothing method (ES) time series prediction. These used assess 54 2021 2030, formula was defined integrate results. The findings demonstrated amalgamates forecasting traits approaches, manifesting remarkable stability. error analysis also indicated short-term results are satisfactory. This has substantial practical implications China in terms fine-tuning its foreign considering entire situation planning accordingly, advancing energy conservation emission

Language: Английский