Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach

Chiu, Sheng-Hsiung; Lin, Tzu‐Yu; Yang, Hai-Ling

doi:10.3390/su12072851

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…In general, the current energy consumption mode is extensive and wasteful. Therefore, the amount of energy consumption should be based on improving the efficiency of energy use [57]. In summary, the government should play an authoritative role in resource allocation, especially concerning the optimal ratio of fixed inputs and variable inputs.…”

Section: Discussionmentioning

confidence: 99%

A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China’s High-Tech Manufacturing Industry

Pan

Pei

et al. 2020

Sustainability

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China’s high-tech manufacturing industry has become the mainstay of the country’s domestic industrial transformation and upgrading. However, in recent years, the industry has experienced huge blind expansion under policy stimulus, which is not good for long-term industrial development. Therefore, this article attempts to explore the extent to which such an important and critical industry in China utilizes its production capacity and provides a basis for future policymaking. Coupled with the country’s increasing emphasis on the green and low-carbon development of the industry, this article extends the green and low-carbon thinking based on capacity utilization, namely green capacity utilization (CU). On this basis, the study empirically investigates the green CU of the high-tech manufacturing industry in 28 provinces in mainland China from 2010 to 2015. In performing the investigation, the inputs were divided into (quasi-)fixed and variable inputs, and an assessment framework was established based on the data envelopment analysis (DEA) method. Moreover, optimal variable inputs are also available as by-products within the assessment framework. The results were as follows: First, China’s high-tech manufacturing industry showed an excellent overall performance in green CU. Moreover, half of the provinces were at fully utilized capacity, and half were under-utilized. On average, there was a slight deterioration in green CU. Second, the results showed regional differences. The western region had the highest green CU followed by the middle and northeastern regions, and the eastern region had the lowest green CU. Third, regarding the optimal variables inputs, the total amount of labor in China’s high-tech manufacturing industry met the demand, but the distribution was uneven. Fourth, the scale of traditional energy consumption needs to be reduced both in individual provinces and in general. These conclusions have implications for the formulation of policies to promote the green development of China’s high-tech manufacturing industry.

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Section: Discussionmentioning

confidence: 99%

A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China’s High-Tech Manufacturing Industry

Pan

Pei

et al. 2020

Sustainability

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“…The literature has emphasized the criticality of hard infrastructures (energy, including electricity, transport), notably its structure and quality for the build-up and strengthening of resilience to economic and financial shocks as well as natural disasters (e.g., Bristow and Healy, 2020;Chiu et al, 2020;Di Caro and Fratesi, 2018;Hallegatte, 2014;Lagravinese, 2015;United Nations, 2016). For example, natural disasters cause disruption in the afore-mentioned infrastructures -in particular if they are of complex nature, and highly interconnected 6 -and induce major adverse effects on the economy and functioning of society (e.g., Berche et al, 2009;United Nations, 2016).…”

Section: ➢ Effect Of Physical Infrastructure On Economic Resiliencementioning

confidence: 99%

Effect of Productive Capacities on Economic Resilience in Developing Countries

Sk¹

2021

Preprint

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The COVID-19 outbreak and its economic, social and financial fallouts have generated a renewed interest in finding adequate policies and means to strengthen economic resilience to future shocks, particularly in developing countries. The latter are usually disproportionately affected by adverse shocks (compared to developed countries) and lack the adequate resources to weather these shocks. Strengthening economic resilience is now at the heart of the policy discussion both at the national and international levels. The present paper aims to contribute to this debate by investigating the effect of productive capacities on economic resilience in a panel dataset of 118 developing countries over the period 2000-2018. It constructs a regression-based economic resilience indicator, and makes use of the indicator of productive capacities recently developed by the UNCTAD. Results are quite interesting, including from a policy perspective. The development of productive capacities is associated with greater economic resilience. This is particularly the case for countries with greater trade openness, greater capital account openness, and those that promote a stable macroeconomic environment. Interestingly, development aid appears to matter for the effect of productive capacities on economic resilience. On the one hand, the magnitude of the positive economic resilience effect of productive capacities increases as countries receive higher Aid for Trade (AfT) flows. On the other hand, NonAfT flows (i.e., other development aid flows that AfT flows) hinder the possible positive contribution of productive capacities to economic resilience. These findings have important policy implications that are discussed in the paper.

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“…The last three articles are more focused in the adaptive resilience channels. The authors of [14] analyze the energy performance of Chinese provinces and their regional evolution in terms of sustainability. In particular, this research shows that investing in low-carbon energy infrastructure has a positive effect on long-term regional economic performance.…”

Section: A Wide Spectrum Of Topics Are Covered In the Special Issuementioning

confidence: 99%

Regions and Economic Resilience: New Perspectives

Mayor

Ramos

2020

Sustainability

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The term “resilience” originated in environmental studies and describes the biological capacity to adapt and thrive under adverse environmental conditions. Regional economic resilience is defined as the capacity of a territory’s economy to resist and/or recover quickly from external shocks, even improving its situation from the pre-shock status. This editorial introduction provides a summary of the eleven contributions included in the special issue on regions and economic resilience. These eleven articles focus on different channels related to processes of mitigation (resistance-recovery) and adaptive resilience (reorientation-renewal) in a wide variety of geographical settings and scales. They include methodological advances and also relevant results from a policy perspective. The editorial concludes by providing some directions for future research.

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Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach

Cited by 4 publications

References 30 publications

A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China’s High-Tech Manufacturing Industry

A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China’s High-Tech Manufacturing Industry

Effect of Productive Capacities on Economic Resilience in Developing Countries

Regions and Economic Resilience: New Perspectives

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