• Energy Research
• 2016-2025close
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The Chinese electric power industry, including its coal industry and other energy industries that are not efficient, contributes to China’s serious energy shortages and environmental contamination. The governing authority considers energy conservation to be one of the most prominent national targets, and has formulated various plans for decarbonizing the power system. Applying the trans-log cost function, this paper examined the trans-log cost function to analyze the potential inter-factor substitution among energy, capital and labor. We also investigated what role human capital played in energy substitution for the electric power sector during the period from 1981 to 2017. Three key results were derived: (1) energy is price-insensitive, (2) there exists large substitution sustainability between both capital and labor with energy, and (3) human capital input not only enhances the extent of energy substitutability with capital and labor but also is a substitute to energy itself. These findings imply that the liberalization of the electric price mechanism is conducive to lessening energy use and augmenting non-energy intensiveness, and that energy conservation technology could become more sustainable by investing more capital in the electricity sector, thereby achieving a capital–energy substitution and a decrease of CO2 emissions. We further suggest that the priority for the Chinese electric power industry should be to attach more importance to increasing human capital input.

Abstract To alleviate the shortage of natural gas resource and ease carbon emissions, a novel solar-driven combined cooling, heating and power (CCHP) system is designed and optimized using the genetic algorithm in the work. Different from the process of direct combustion in a conventional CCHP system, natural gas is firstly converted into syngas by a solar-driven natural gas reforming step, which is consumed in an efficient tri-generation system. Energy, economic and environmental evaluations on five office buildings in different climate zones in China are implemented to validate the advantages of the proposed system. Results show that the annual maximum primary energy saving, total cost saving, and CO2 emission reduction are 69.76%, 49.80%, and 71.55%, respectively. The system located in severe cold zones, where solar energy is abundant and building requires more heat load in whole year, achieves the highest benefits in comparison with separate systems. Furthermore, the sensitivities on the price fluctuations of electricity, natural gas and solar field to the system profits are investigated, which indicates that the influence of electricity price on the system performance is the most significant. Thus, a promising method for reducing the natural gas consumption and improving the utilization efficiency of solar energy is provided.

We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.

In recent years, the energy consumption structure has been accelerating towards clean and low-carbon globally, and China has also set positive goals for new energy development, vigorously promoting the development and utilization of renewable energy, accelerating the implementation of renewable energy substitution actions, and focusing on improving the consumption capacity of new energy. However, due to the intermittent and unstable characteristics of renewable energy, it is difficult to meet the demands of the power load side in practical applications. Energy storage is an important link for the grid to efficiently accept new energy, which can significantly improve the consumption of new energy electricity such as wind and photovoltaics by the power grid, ensuring the safe and reliable operation of the grid system, but energy storage is a high-cost resource. Therefore, this paper focuses on the energy storage scenarios for a big data industrial park and studies the energy storage capacity allocation plan and business model of big data industrial park. Firstly, based on the characteristics of the big data industrial park, three energy storage application scenarios were designed, which are grid center, user center, and market center. On this basis, an optimal energy storage configuration model that maximizes total profits was established, and financial evaluation methods were used to analyze the corresponding business models. Finally, taking an actual big data industrial park as an example, the economic viability of energy storage configuration schemes under two scenarios was discussed, and an energy storage system construction plan was proposed to promote the zero-carbon target of the big data industrial park.

Livestock manure waste (LMW) has turned into an important source of greenhouse gas emissions. Livestock manure waste recycling (LMWR) has great significance for reducing greenhouse gas emissions in the LMW management process. For a long time, the government has mainly adopted environmental regulation to accelerate LMWR, but the recycling degree is still low. The objective of this study was to assess the impact of environmental regulation on LMWR. Empirical evidence was obtained through methods of in-depth measures and questionnaire investigation from 465 households engaged in breeding pigs in Hebei, Henan, and Hubei, China. The double hurdle model was employed to empirically assess the impact of environmental regulation on household LMWR behavior, and the moderating effects of guiding regulation were further verified. The results were that (1) 62.30% of the households in the sample were willing to implement LMWR behavior, but the recycling degree was only 42.50% of the LMW emission amount. (2) Environmental regulation was found to positively impact household LMWR behavior, while the effects were mainly contributed by imperative and guiding regulation. (3) Guiding regulation was shown to positively moderate the influences of imperative and incentive regulation on household LMWR behavior. (4) The impact of environmental regulation on different scales of household LMWR behavior was found to be heterogeneous. Finally, some recommendations, such as improving subsidy standards, classifying to promote LMWR technology, as well as increasing the matched proportions of planting and breeding, were proposed.

Le Pakistan traverse une crise énergétique terrifiante et dévastatrice. Récemment, la prévision de la consommation d'énergie s'est intensifiée par rapport à sa capacité de production, ce qui est problématique pour la stabilité sociale et économique du Pakistan. Par conséquent, il est essentiel d'examiner le lien entre la consommation d'électricité, les prix de l'électricité, la transition urbaine, les autres utilisations d'électricité et l'expansion économique de 1970 à 2018 au Pakistan. Pour l'analyse, la technique économétrique de deuxième génération de Lee et Strazicich (2013), le nouveau Augmented Autoregressive Distributed Lag (AARDL) et Frequency Domain Causality (FDC) est utile pour détecter l'association à moyen et à court terme entre les variables. Les résultats montrent que la consommation d'électricité stimule l'expansion économique à court et à long terme, bien que la hausse des prix de l'électricité diminue l'activité économique à court et à long terme. En outre, la transition urbaine et d'autres utilisations de l'électricité ont un impact positif et négatif substantiel sur l'expansion économique à court et à long terme. Le résultat suggère qu'un approvisionnement énergétique efficace, des prix de l'énergie à faible coût, une bonne gestion de la transition urbaine et d'autres utilisations de l'énergie pourraient être utiles aux décideurs pour atteindre les ODD 7 et 11 au Pakistan. Pakistán se encuentra en una crisis energética aterradora y devastadora. Recientemente, la predicción del consumo de energía se ha intensificado en comparación con su capacidad de producción, lo que es problemático para la estabilidad social y económica de Pakistán. Por lo tanto, es vital examinar el vínculo entre el consumo de energía, los precios de la energía, la transición urbana, otros usos de la electricidad y la expansión económica de 1970 a 2018 en Pakistán. Para el análisis, la técnica econométrica de segunda generación de Lee y Strazicich (2013), el novedoso Retraso Distribuido Autoregresivo Aumentado (AARDL) y la Causalidad en el Dominio de la Frecuencia (FDC) son útiles para detectar la asociación a largo y corto plazo entre las variables. Los resultados muestran que el consumo de energía estimula la expansión económica a corto y largo plazo, aunque el aumento de los precios de la energía disminuye la actividad económica a corto y largo plazo. Además, la transición urbana y otros usos de la electricidad tienen un impacto positivo y negativo sustancial en la expansión económica a corto y largo plazo. El resultado sugiere que el suministro eficiente de energía, los precios de la energía de bajo coste, la gestión adecuada de la transición urbana y otros usos de la energía podrían ser útiles para que los responsables políticos alcancen los ODS 7 y 11 en Pakistán. Pakistan is in a terrifying and devastating energy crisis. Recently, the prediction for energy consumption has intensified compared to its production capacity, which is problematic for Pakistan's social and economic stability. Hence, it is vital to examine the link between power consumption, power prices, urban transition, other electricity use, and economic expansion from 1970 to 2018 in Pakistan. For analysis, the second-generation econometric technique of Lee and Strazicich (2013), novel Augmented Autoregressive Distributed Lag (AARDL), and Frequency Domain Causality (FDC) is useful to detect the long-medium and short-run association among the variables. The results show that power consumption stimulates economic expansion in the short and long-run, though the rise in power prices declines economic activity in the short and long-run. Also, urban transition and other electricity use are a substantial positive and negative impact on economic expansion in the short and long-run. The outcome suggests that efficient energy supply, low-cost power prices, proper urban transition management, and other energy use could be useful for policymakers to achieve SDGs 7 and 11 in Pakistan. باكستان في أزمة طاقة مرعبة ومدمرة. في الآونة الأخيرة، تكثف التنبؤ باستهلاك الطاقة مقارنة بقدرته الإنتاجية، مما يمثل مشكلة للاستقرار الاجتماعي والاقتصادي لباكستان. وبالتالي، من الضروري دراسة الصلة بين استهلاك الطاقة وأسعار الطاقة والتحول الحضري واستخدام الكهرباء الأخرى والتوسع الاقتصادي من 1970 إلى 2018 في باكستان. للتحليل، فإن تقنية الاقتصاد القياسي من الجيل الثاني من Lee and Strazicich (2013)، والتأخر الموزع الانحداري الذاتي المعزز (AARDL)، وسببية مجال التردد (FDC) مفيدة للكشف عن الارتباط طويل المدى وقصير المدى بين المتغيرات. تظهر النتائج أن استهلاك الطاقة يحفز التوسع الاقتصادي على المدى القصير والطويل، على الرغم من أن ارتفاع أسعار الطاقة يؤدي إلى انخفاض النشاط الاقتصادي على المدى القصير والطويل. كما أن التحول الحضري والاستخدامات الأخرى للكهرباء لها تأثير إيجابي وسلبي كبير على التوسع الاقتصادي على المدى القصير والطويل. تشير النتيجة إلى أن إمدادات الطاقة الفعالة، وأسعار الطاقة منخفضة التكلفة، وإدارة الانتقال الحضري المناسبة، وغيرها من استخدامات الطاقة يمكن أن تكون مفيدة لصانعي السياسات لتحقيق هدفي التنمية المستدامة 7 و 11 في باكستان.

Abstract This literature review was built upon recently published articles on Life Cycle Assessments (LCAs) of agricultural biogas plants, to: enhance understanding of the relevant literature in the field and the related question by readers worldwide. It was designed to highlight methodological issues and impact indicators, which best represent this research field; consequently, they should be considered in performing environmental assessments of agro-biogas derived energy systems. The literature review highlighted the wide variability of environmental results due to the ways the feedstock mixtures were produced, managed, and supplied; and due to the regions in which the anaerobic digesters were located and operated. Differences were found to be related to the aim and function of the study and to the methodological approach used, especially for the development of the environmental impact assessments. Other differences resulted from the ways the energy produced was utilised, whether it was used as an input to the natural gas national grid, and/or if it was used within the production system. The authors of this review concluded that, although much progress has been made, many unsolved challenges and methodological choices must be addressed to further improve the robustness of LCA in relation to AD and to related approaches.

As a new type of agricultural management organization alliance, the effect of the benefit linkage generated by agricultural industrialization consortium on collaboration performance is closely related to the sustainable development of the agricultural economy. Based on survey data on consortia in Shanghai, this paper analyzes the effects of benefit linkage and uses multiple linear regression modeling to comprehensively explore the impact of benefit linkage effects on collaboration performance from both subjective and objective aspects, as well as the differences in impact on the collaboration performance of consortia with different organizational structures. The results show that the benefit linkage effect has a positive impact on collaboration performance, and there are differences in the impact of the benefit linkage effect on collaboration performance under different types of organizational structures, among which the resource allocation effect, capitalization effect and correlation effect of the benefit linkage of non-joint stock consortia have a positive impact on collaboration performance; the resource allocation effect of joint-stock consortia has no significant impact on collaboration performance, the capitalization effect on collaboration performance is significantly lower than that of non-joint stock consortia, and the correlation effect on collaboration performance is significantly higher than that of non-joint-stock consortia. Therefore, under a certain benefit linkage, according to the establishment purpose and collaboration goal, a consortium with different types of organizational structures should be established to give full play to the impact of the benefit linkage effect on collaboration performance and promote the sustainable development of agricultural industrialization.