• Energy Research
• 11. Sustainability close
• 13. Climate action close
• 15. Life on land close
• 14. Life underwater close
• Sustainability close

The tendency to implement diverse environmental tools and promote the adoption of environmentally friendly practices in tourism activities is relatively new. One such tool is the EU Ecolabel used in the hotel industry as a voluntary European initiative meant to attest to the responsible attitude towards the environment. Since holding the ecolabel by the Romanian accommodation units is rather an exception, our aim was to investigate the views of industry managers on environmental issues, focusing on the EU Ecolabel, and get a glimpse of the challenges and prospects of ecolabelling within the seaside hotel industry. To this end, the study was designed and conducted on 60 hotel managers. The research results gave evidence to the measures already implemented, those pending implementation, reasons for not applying for the EU Ecolabel, and the most challenging criteria. The potential impact of the EU Ecolabel on the economic activity efficiency, and its role in customer decision processes and in marketing communication, was highlighted. Subsequently, a mathematical model was proposed, revealing that the intention to meet the criteria and obtain the EU Ecolabel depends on the managers’ level of knowledge of the EU Ecolabel, their opinion on whether holding the EU Ecolabel represents a competitive advantage, and the current efficiency level of the hotels’ economic activity. Considering the research findings, it is obvious that the industry would benefit from ampler and more sustained information campaigns on the EU Ecolabel.

The tendency to implement diverse environmental tools and promote the adoption of environmentally friendly practices in tourism activities is relatively new. One such tool is the EU Ecolabel used in the hotel industry as a voluntary European initiative meant to attest to the responsible attitude towards the environment. Since holding the ecolabel by the Romanian accommodation units is rather an exception, our aim was to investigate the views of industry managers on environmental issues, focusing on the EU Ecolabel, and get a glimpse of the challenges and prospects of ecolabelling within the seaside hotel industry. To this end, the study was designed and conducted on 60 hotel managers. The research results gave evidence to the measures already implemented, those pending implementation, reasons for not applying for the EU Ecolabel, and the most challenging criteria. The potential impact of the EU Ecolabel on the economic activity efficiency, and its role in customer decision processes and in marketing communication, was highlighted. Subsequently, a mathematical model was proposed, revealing that the intention to meet the criteria and obtain the EU Ecolabel depends on the managers’ level of knowledge of the EU Ecolabel, their opinion on whether holding the EU Ecolabel represents a competitive advantage, and the current efficiency level of the hotels’ economic activity. Considering the research findings, it is obvious that the industry would benefit from ampler and more sustained information campaigns on the EU Ecolabel.

Cassava utilisation in Malawi is negatively affected by rapid deterioration of fresh roots, primarily caused by postharvest physiological deterioration (PPD). A study was conducted to assess farmers’ knowledge and approaches used to minimize losses from PPD. Multi-stage sampling was used to identify districts, Extension Planning Areas (EPA’s) and farmers. Data were collected from 519 farmers using a structured questionnaire. Results revealed that PPD (74.0%) was the major post-harvest constraint followed by pests and diseases (62.1%). Farmers had varying knowledge levels on signs and causes of PPD. They were knowledgeable on PPD signs with 91.5% ably identifying PPD through change of pulp colour. The farmers also had moderate knowledge on causes of PPD, citing high temperature (57.6%) and over-staying of roots (56.2%) as main causes of PPD. Key methods for preventing PPD are: storage (43.0%) and piece-meal harvesting (40.4%). Only 2.6% of the farmers exploited varietal difference in dealing with PPD as some varieties (Sauti, Mpuma, Ching’amba, and Kalasa) take three to five days before showing PPD signs. Farmers’ knowledge levels and PPD preventive methods could be strengthened through: provision of training on post-harvest handling, improvement in storage and processing technologies; and application of advanced breeding techniques to exploit genetic variation in cassava germplasm.

Cassava utilisation in Malawi is negatively affected by rapid deterioration of fresh roots, primarily caused by postharvest physiological deterioration (PPD). A study was conducted to assess farmers’ knowledge and approaches used to minimize losses from PPD. Multi-stage sampling was used to identify districts, Extension Planning Areas (EPA’s) and farmers. Data were collected from 519 farmers using a structured questionnaire. Results revealed that PPD (74.0%) was the major post-harvest constraint followed by pests and diseases (62.1%). Farmers had varying knowledge levels on signs and causes of PPD. They were knowledgeable on PPD signs with 91.5% ably identifying PPD through change of pulp colour. The farmers also had moderate knowledge on causes of PPD, citing high temperature (57.6%) and over-staying of roots (56.2%) as main causes of PPD. Key methods for preventing PPD are: storage (43.0%) and piece-meal harvesting (40.4%). Only 2.6% of the farmers exploited varietal difference in dealing with PPD as some varieties (Sauti, Mpuma, Ching’amba, and Kalasa) take three to five days before showing PPD signs. Farmers’ knowledge levels and PPD preventive methods could be strengthened through: provision of training on post-harvest handling, improvement in storage and processing technologies; and application of advanced breeding techniques to exploit genetic variation in cassava germplasm.

Accurate measurement of the shadow price of carbon dioxide (CO2) is fundamental to the scientific assessment of the carbon emission reduction cost and the formulation and execution of China’s carbon emission mitigation policies. Underpinned by the directional distance function, this research uses a parametric linear programming method and a Bayes bootstrap estimation method to estimate the marginal CO2 emission reduction cost of the industrial sector in China and to quantify the related influencing factors. The results revealed that the marginal reduction cost of industrial CO2 is CNY 4565/ton. The marginal reduction cost of CO2 varies by industry, with the textile industry being the highest and the petroleum, coking and nuclear fuel processing industries the lowest. Meanwhile, an increasing number of industries are shifting to cleaner production. Furthermore, the marginal reduction cost of industrial CO2 has an “inverted U-shaped” relation with carbon intensity. Carbon emission reduction can be accomplished effectively if the carbon intensity is kept below the threshold value of 0.41 tons/CNY 10,000.

Accurate measurement of the shadow price of carbon dioxide (CO2) is fundamental to the scientific assessment of the carbon emission reduction cost and the formulation and execution of China’s carbon emission mitigation policies. Underpinned by the directional distance function, this research uses a parametric linear programming method and a Bayes bootstrap estimation method to estimate the marginal CO2 emission reduction cost of the industrial sector in China and to quantify the related influencing factors. The results revealed that the marginal reduction cost of industrial CO2 is CNY 4565/ton. The marginal reduction cost of CO2 varies by industry, with the textile industry being the highest and the petroleum, coking and nuclear fuel processing industries the lowest. Meanwhile, an increasing number of industries are shifting to cleaner production. Furthermore, the marginal reduction cost of industrial CO2 has an “inverted U-shaped” relation with carbon intensity. Carbon emission reduction can be accomplished effectively if the carbon intensity is kept below the threshold value of 0.41 tons/CNY 10,000.

In arid to semi-arid regions, vulnerability to climate change combined with the overexploitation of water resources is jeopardizing food security. In the Souss-Massa region in central Morocco, the rural population relies on growing olives for a living. The management of these orchards is mostly traditional under rainfed irrigation, which induces a high level of dependence on climate variability. In the present study, we investigate the long-term trends of the relationship between the observed olive yields and global climate patterns during the period 1973–2014. We apply lagged Spearman’s correlations and cross-wavelet analysis to detect the potential influence of El Niño-southern oscillation (ENSO), the Indian Ocean Dipole (IOD), North Atlantic oscillation (NAO) and Pacific decadal oscillation (PDO) on the yield variability of olive orchards. The results of a Mann-Kendall test show a statistically significant decreasing trend in olive yields during the studied period. Statistically significant negative correlations were observed for (lag = −1) with spring and summer NINO 3.4 and with summer and autumn PDO. No statistically significant correlations between olive yields and NAO and IOD were observed. The results of wavelet coherence between annual olive yields and PDO and ENSO revealed that the highest values of power spectrum coherence occurred during the (lag = 0) spring PDO and (lag = −1) spring ENSO, both with an antiphase relationship. During the studied period, the extreme events of El Niña and El Niño years corresponded to below average yields.