Loading [MathJax]/jax/output/SVG/jax.js
Research article Special Issues

Enhancing building energy efficiency: Formation of a cooperative digital green innovation atmosphere of photovoltaic building materials based on reciprocal incentives

  • A good innovation atmosphere between photovoltaic building materials manufacturing enterprises and universities and scientific research institutions is conducive to the effective development of a cooperative digital green innovation process. This paper establishes an evolutionary game model for the formation of a cooperative digital green innovation atmosphere in photovoltaic building materials manufacturing enterprises under two mechanisms: direct and indirect reciprocity. The results show that both direct and indirect reciprocity mechanisms are conducive to the formation of a cooperative digital green innovation atmosphere for photovoltaic building materials manufacturing enterprises. This study provides theoretical guidance for photovoltaic building materials manufacturing enterprises to cultivate a cooperative digital green innovation atmosphere.

    Citation: Yudan Zhao, Yingying Zhang, Yueyue Song, Shi Yin, Chengli Hu. Enhancing building energy efficiency: Formation of a cooperative digital green innovation atmosphere of photovoltaic building materials based on reciprocal incentives[J]. AIMS Energy, 2023, 11(4): 694-722. doi: 10.3934/energy.2023035

    Related Papers:

    [1] Burcu Bozova, Muharrem Gölükcü, Haluk Tokgöz, Demet Yıldız Turgut, Orçun Çınar, Ertuğrul Turgutoglu, Angelo Maria Giuffrè . The physico-chemical characteristics of peel essential oils of sweet orange with respect to cultivars, harvesting times and isolation methods. AIMS Agriculture and Food, 2025, 10(1): 40-57. doi: 10.3934/agrfood.2025003
    [2] Gregorio Gullo, Antonio Dattola, Vincenzo Vonella, Rocco Zappia . Performance of the Brasiliano 92 orange cultivar with six trifoliate rootstocks. AIMS Agriculture and Food, 2021, 6(1): 203-215. doi: 10.3934/agrfood.2021013
    [3] Gullo Gregorio, Dattola Antonio, Zappia Rocco . Comparative study of some fruit quality characteristics of two of Annona cherimola Mill. grown in southern Italy. AIMS Agriculture and Food, 2019, 4(3): 658-671. doi: 10.3934/agrfood.2019.3.658
    [4] Nubia Amaya Olivas, Cindy Villalba Bejarano, Guillermo Ayala Soto, Miriam Zermeño Ortega, Fabiola Sandoval Salas, Esteban Sánchez Chávez, Leon Hernández Ochoa . Bioactive compounds and antioxidant activity of essential oils of Origanum dictamnus from Mexico. AIMS Agriculture and Food, 2020, 5(3): 387-394. doi: 10.3934/agrfood.2020.3.387
    [5] Cíntia Sorane Good Kitzberger, Maria Brígida dos Santos Scholz, Luiz Filipe Protasio Pereira, João Batista Gonçalves Dias da Silva, Marta de Toledo Benassi . Profile of the diterpenes, lipid and protein content of different coffee cultivars of three consecutive harvests. AIMS Agriculture and Food, 2016, 1(3): 254-264. doi: 10.3934/agrfood.2016.3.254
    [6] Celale Kirkin, Seher Melis Inbat, Daniel Nikolov, Sabah Yildirim . Effects of tarragon essential oil on some characteristics of frankfurter type sausages. AIMS Agriculture and Food, 2019, 4(2): 244-250. doi: 10.3934/agrfood.2019.2.244
    [7] Salvatore D’Aquino, Daniela Satta, Luciano De Pau, Amedeo Palma . Effect of a cold quarantine treatment on physiological disorders and quality of cactus pear fruit. AIMS Agriculture and Food, 2019, 4(1): 114-126. doi: 10.3934/agrfood.2019.1.114
    [8] Cíntia Sorane Good Kitzberger, Clandio Medeiros da Silva, Maria Brígida dos Santos Scholz, Maria Isabel Florentino Ferreira, Iohann Metzger Bauchrowitz, Jeferson Benedetti Eilert, José dos Santos Neto . Physicochemical and sensory characteristics of plums accesses (Prunus salicina). AIMS Agriculture and Food, 2017, 2(1): 101-112. doi: 10.3934/agrfood.2017.1.101
    [9] Shahindokht Bassiri-Jahromi, Aida Doostkam . Comparative evaluation of bioactive compounds of various cultivars of pomegranate (Punica granatum) in different world regions. AIMS Agriculture and Food, 2019, 4(1): 41-55. doi: 10.3934/agrfood.2019.1.41
    [10] Tarik Ainane, Fatouma Mohamed Abdoul-Latif, Asmae Baghouz, Zineb El Montassir, Wissal Attahar, Ayoub Ainane, Angelo Maria Giuffrè . Essential oils rich in pulegone for insecticide purpose against legume bruchus species: Case of Ziziphora hispanica L. and Mentha pulegium L.. AIMS Agriculture and Food, 2023, 8(1): 105-118. doi: 10.3934/agrfood.2023005
  • A good innovation atmosphere between photovoltaic building materials manufacturing enterprises and universities and scientific research institutions is conducive to the effective development of a cooperative digital green innovation process. This paper establishes an evolutionary game model for the formation of a cooperative digital green innovation atmosphere in photovoltaic building materials manufacturing enterprises under two mechanisms: direct and indirect reciprocity. The results show that both direct and indirect reciprocity mechanisms are conducive to the formation of a cooperative digital green innovation atmosphere for photovoltaic building materials manufacturing enterprises. This study provides theoretical guidance for photovoltaic building materials manufacturing enterprises to cultivate a cooperative digital green innovation atmosphere.



    Essential oils are generally obtained from the leaves, fruits, bark, or roots of plants. These are natural products that are present in liquid form at room temperature, can easily crystallize, are usually colorless or light yellow in color, and have a strong and aromatic odor [1]. Essential oils consist of a complex mixture of fragrant and volatile components found in secondary plant metabolism. Most of the components found in their structures are terpenoids, monoterpenes, and sesquiterpenes [2,3,4]. Citrus oils have an important place among essential oils. It is reported that the global Citrus oil production is approximately 16,000 tons and the global price is approximately 14,000 USD/ton [5].

    Although Turkey holds an important position in the production of citrus fruits, it generally relies on imports for Citrus peel oils. However, Turkey has the potential to produce these oils domestically. Citrus peel oils are among the most significant essential oils imported by Turkey. According to 2022 data, the total value of essential oil imports was 31,783,450 USD, with approximately 30% of this value consisting of citrus peel oils. When examining the total essential oil trade, excluding citrus fruits, the export value of 29,599,149 USD in 2022 surpasses the import value of 21,795,022 USD [6]. These data highlight the importance of domestic production of these products for the Turkish economy. Citrus essential oils are listed on the GRAS (Food Generally Recognized as Safe) list and are known for their broad-spectrum biological activities, including antimicrobial, antifungal, antioxidant, anti-inflammatory, and anxiolytic [7,8,9,10]. Citrus peel oils can be obtained by hydrodistillation or cold pressing method [11,12,13] and are used in many areas such as cosmetics, perfumery, pharmaceutics, production of cleaning products [14,15,16,17], and the food industry [18,19,20,21].

    The most important feature of citrus (orange, mandarin, bergamot, bitter orange) peel essential oils is their high limonene content, which varies widely from 36.54% to 96.10% [12]. Limonene is used on an industrial scale in many areas such as food, medicine, and cosmetics [22].

    In Turkey, which has a major potential in terms of raw materials, the production of such products is significant for the country's economy. In addition, the utilization of citrus peels, which can be seen as waste, can also contribute to the development of the producer and processing industry. The quality of the obtained product will be determined by the Citrus cultivar, the harvesting time, and the processing method.

    The four cultivars studied in this experiment are very popular and appreciated in Turkey. For this reason, there is great interest in the physico-chemical composition of different parts of the fruit and its derivatives. The techniques and varieties of lemon cultivation were selected based on previous experiments, hoping to obtain a product with a more valuable organoleptic composition. This study aimed to reveal the characteristics and essential oil composition of lemon peel oils obtained by two different methods in four different harvest periods for a total of four cultivars, which have an important place among Citrus fruits.

    This research was carried out between 2021 and 2023 in the Aksu-central unit of the Batı Akdeniz Agricultural Research Institute (Antalya, Turkey). Four lemon (Citrus limon, L) cultivars were used in the research. Each commercial cultivar was harvested in two production seasons (2021–2022 and 2022–2023) covering four different harvest periods (Table 1). The products were obtained from the Citrus parcels of the Kayaburnu unit of the Batı Akdeniz Agricultural Research Institute. During the harvesting process, care was taken to take samples from four different components of each tree. The harvested fruit samples were brought to the Food Technology and Medicinal Plants Laboratory on the same day and analysis was started.

    Table 1.  Lemon cultivars and harvest times.
    Harvest Batem Pınarı Interdonato Meyer Ak Limon
    1 01 Sep 2021/2022 01 Sep 2021/2022 20 Oct 2021/2022 20 Feb 2022/2023
    2 20 Sep 2021/2022 20 Sep 2021/2022 10 Nov 2021/2022 10 Mar 2022/2023
    3 10 Oct 2021/2022 10 Oct 2021/2022 30 Nov 2021/2022 30 Mar 2022/2023
    4 30 Oct 2021/2022 30 Oct 2021/2022 20 Dec 2021/2022 20 Apr 2022/2023

     | Show Table
    DownLoad: CSV

    First, fruit weight and peel ratio were analyzed. For this purpose, 10 fruits were used for each repetition, and each fruit and its peels were weighed to an accuracy of 0.01 g. Fruit weight and peel ratio were given by taking the average of all measurement values.

    Essential oil production from fruit peels was carried out using two different methods. For the hydrodistillation process, the Clevenger apparatus was used, according to TS EN ISO 6571 [23]. For this, 200 mL of distilled water was added to 50 g of fresh fruit peel. The mix was homogenized (1 min, 25 ℃, 22,000 rpm) with a blender (Waring 8011ES, Model HGB2WTS3, USA) and then subjected to distillation using a Clevenger device (Isotex, Turkey) for 3 h. The amount of essential oils was given by the volume based on the weight of fresh fruit peel (mL/100 g, %). TS EN ISO 6571 Turkish Standard is identical to the relevant ISO standard.

    The cold press method, which is also used in commercial production, was also used. The amount of essential oils was determined according to Kırbaslar et al. [24]. For this purpose, the flavedo part of the fruit peels, which is rich in essential oils, was grated and then subjected to manual pressing with a 10 cm diameter seven-hole kitchen-type hand press. The resulting water–essential oil (volatiles) mixture was then separated by centrifugation at 15,294 × g for 20 min at 20 ℃. The amount of essential oils was given by the volume based on the weight of fresh fruit peel (mL/100 g, %).

    The essential oils obtained were analyzed for density, refractive index, optical rotation, and essential oil composition, which are among the basic quality analyses specified in the European Pharmacopoeia. Density analyzes of the samples were determined according to the Turkish Standards Institute method of determining the density of essential oils using a capillary tube TS ISO 279 [25]. Refractive index analyses were carried out according to TS ISO 280 [26]. Measurements were made at 20° using a digital refractometer (A. Krüss Optronic GmbH. DR6000). Optical rotation values were determined according to TS ISO 592 at 589.44 nm [27] using a polarimeter device (Optical Activity Ltd. PolAAR 31). TS ISO 279, TS ISO 280, and TS ISO 592 standards are identical to the relevant ISO standards and are used as the Turkish Standard.

    The composition of essential oils (%) was determined by a gas chromatography (Agilent 7890A)-mass spectrometry (Agilent 5975C)-flame ionization detector (GC-MS/FID) device [28]. For this purpose, samples were diluted with hexane at a ratio of 1:50. Essential oil component analysis of the samples was performed using a capillary column (HP Innowax Capillary; 60.0 m × 0.25 mm × 0.25 μm). Helium was used as the carrier gas at a flow rate of 0.8 mL/min. Samples were injected at 1 μL with a split ratio of 50:1. The injector temperature was set to 250 ℃. The column temperature program was set to 60 ℃ (10 min), 20 ℃/min from 60 to 250 ℃, and 250 ℃ (10.5 min). In line with this temperature program, the total analysis time was 60 min. For the mass detector, scanning range (m/z) 35–500 atomic mass units and electron bombardment ionization 70 eV were used. WILEY and OIL ADAMS libraries were used to identify the components of the essential oils. Relative retention indices (RRI) of the compounds were determined relative to the retention times of a series of C8–C40 n-alkanes (Sigma, USA). Relative ratio amounts (%) of the determined components were calculated from FID chromatograms without normalization.

    The research was carried out with three replicates according to the randomized parcel trial design [29]. Analyses were carried out in two parallels and results were subjected to variance analysis (ANOVA) and Duncan multiple comparison test using the SAS package program. Results are given as mean ± standard error.

    The average values of fruit weights, fruit peel ratios, and peel essential oil amounts of the four lemon cultivars are given in Table 2. It was observed that the fruit weights generally increased, partially depending on the harvest time. According to fruit weight, the most suitable harvest time for Meyer and Interdonato cultivars was the third and fourth harvest period, while the fourth harvest time for Batem Pınarı and the second harvest time for Ak Limon were found to be the most suitable. Among lemon varieties, Ak Limon differs significantly from other varieties with its high peel rate (30.13%). Depending on the harvest time, the peel ratios varied among the varieties and were distributed within a narrower range.

    Table 2.  Fruit weight, peel ratio, and essential oil amounts of lemon cultivars according to harvest times (mean ± standard error).
    Cultivar Harvest Fruit weight
    (g/fruit)
    Peel ratio (%) Essential oil content (%) by CP Essential oil content (%) by HD
    Batem Pınarı 1 103.13 ± 2.935 21.12 ± 0.770 0.21 ± 0.070 1.98c ± 0.195
    2 119.53 ± 8.865 21.19 ± 1.910 0.24 ± 0.030 2.47b ± 0.186
    3 130.41 ± 1.845 18.33 ± 1.325 0.26 ± 0.075 1.99c ± 0.035
    4 170.12 ± 13.230 19.62 ± 0.385 0.24 ± 0.050 1.98c ± 0.144
    Interdonato 1 98.34 ± 2.940 19.43 ± 0.380 0.26 ± 0.030 2.60b ± 0.236
    2 118.16 ± 10.365 19.56 ± 0.375 0.29 ± 0.000 2.72ab ± 0.142
    3 149.08 ± 23.175 18.22 ± 1.780 0.31 ± 0.005 3.12a ± 0.073
    4 148.95 ± 22.180 19.92 ± 0.080 0.18 ± 0.050 1.70cd ± 0.058
    Meyer 1 89.85 ± 10.075 19.71 ± 0.210 0.15 ± 0.005 1.23e ± 0.023
    2 115.96 ± 18.100 19.30 ± 0.430 0.17 ± 0.040 1.71cd ± 0.131
    3 139.42 ± 7.385 20.28 ± 0.850 0.16 ± 0.030 1.48de ± 0.144
    4 139.96 ± 3.035 20.09 ± 0.920 0.18 ± 0.005 1.29de ± 0.131
    Ak Limon 1 108.29 ± 5.555 30.07 ± 2.400 0.32 ± 0.080 1.49de ± 0.038
    2 149.69 ± 5.760 29.19 ± 2.855 0.28 ± 0.050 1.32de ± 0.116
    3 126.93 ± 6.505 31.77 ± 4.500 0.22 ± 0.075 1.21e ± 0.172
    4 137.57 ± 2.245 29.48 ± 1.915 0.24 ± 0.020 1.47de ± 0.181
    F-value 17.64
    p-value 0.0001
    CV* 13.03
    Different letters in the same column indicate a difference between the means at the p < 0.05 level. *Coefficient of variation.

     | Show Table
    DownLoad: CSV

    The essential oil amounts of the samples were obtained by two different methods, hydrodistillation and cold pressing, and the essential oil amounts were evaluated based on the values determined by the first method (Table 2). The effects of cultivar and harvest time and the interaction between variety and harvest time on the essential oil amount were statistically significant. The Interdonato cultivar had the highest amount of essential oils, followed by Batem Pınarı, Meyer, and Ak Limon varieties. The highest amount of essential oils was detected in the samples taken at the second harvest time. However, this differs depending on the cultivar. The highest essential oil content was detected in the Interdonato variety obtained in the third harvest period. Batem Pınarı and Meyer varieties had the highest essential oil content in the second harvest period, and Ak Limon in the fourth harvest period (Table 2).

    Di Vaio et al. [30] found that the amount of essential oils in 18 lemon varieties ranged from 1.90% to 2.28%. Bourgou et al. [31] found that the amount of lemon peel essential oil varied (0.48%–1.30%) according to the harvest time. Vekiari et al. [32] also reported that the harvest time had a significant effect on the amount of lemon peel essential oils. Our research findings have shown a significant effect of cultivar and harvest time. Regarding the isolation method, the essential oil rate in the peels obtained by the hydrodistillation method was considerably higher (1.86%) than by the cold press method (0.23%). This was expected; Ferhat et al. [33] have shown that although there were differences depending on species and varieties, the yield obtained by cold pressing was significantly lower than by hydrodistillation. Mahato et al. [14] also reported that the hydrodistillation method is quite advantageous compared to the cold press method in terms of efficiency in the production of Citrus peel oil. In fact, as seen in the analyses, a significant amount of essential oils remains in the peel waste obtained from industrial cold press applications.

    The density, refractive index, and optical activity values of essential oils obtained from lemon peels were also analyzed. ANOVA and Duncan test results for the four lemon varieties evaluated in the study, according to different harvest times and isolation methods, are given in Table 3 and Table 4. While the effect of the isolation method on the density values of lemon peel oils was statistically significant, the effect of cultivar, harvest time, and interactions was not. The density values ranged between 0.8341 and 0.8532 g/mL. Among the cultivars, the highest average density value was for Ak Limon (0.8471 g/mL) and the lowest was for Meyer (0.8423 g/mL). This difference between varieties may also be related to the chemical composition of the oils. There were some differences in the density values according to harvest times; however, these differences remained statistically insignificant. Density values showed the most significant difference according to isolation methods (Table 3 and Table 4). The density values of essential oils obtained by cold pressing were higher than those obtained by hydrodistillation. This may be due to the fact that oils obtained by cold pressing partially contain components with higher molecular weights, especially carotenoids and chlorophyll. In fact, Gonzalez-Mas et al. [34] reported that there are components such as flavonoids, coumarins, diterpenoids, sterols, and fatty acids in the non-volatile parts of citrus oils. The density value range for lemon peel oil obtained by cold pressing is reported as 0.850–0.858 g/mL in the European Pharmacopoeia [35] and 0.845–0.858 g/mL in ISO standards [36]. While the values obtained by cold pressing were compatible with the limit values, the density of the oils obtained by hydrodistillation was below these values. This may be due to the fact that the oils obtained by hydrodistillation consist only of volatile components.

    Table 3.  Analysis of variance results for density, refractive index, and optical activity values.
    Density Refractive index Optical activity
    Statistic F p-value Statistic F p-value Statistic F p-value
    Cultivar (C) 2.54 0.0740 6.50 0.0015 118.55 0.0001
    Harvest time (HT) 0.74 0.5381 0.23 0.8751 0.65 0.5889
    İsolation method (IM) 33.34 0.0001 389.30 0.0001 38.40 0.0001
    C × HT 0.91 0.5259 1.00 0.4631 0.78 0.6379
    C × IM 0.50 0.6833 3.14 0.0389 0.52 0.6700
    HT × IM 0.83 0.4876 0.43 0.7350 0.21 0.8909
    C × HT × IM 0.19 0.9932 0.45 0.8983 0.11 0.9991
    Coefficient of variation 0.6627 0.0350 3.0184

     | Show Table
    DownLoad: CSV
    Table 4.  Duncan multiple comparison test results of density, refractive index, and optical activity values of lemon peel essential oils according to cultivar, harvest time, and isolation method (mean ± standard error).
    Batem Pınarı Interdonato Meyer Ak Limon
    Density (g/mL) 0.8455 ± 0.0016 0.8429 ± 0.0017 0.8423 ± 0.0015 0.8471 ± 0.0018
    Refractive index 1.4747a ± 0.0004 1.4744a ± 0.0004 1.4747a ± 0.0003 1.4740b ± 0.0003
    Optical activity (°) 72.24d ± 0.640 75.38c ± 0.714 82.59b ± 0.678 86.44a ± 0.764
    Harvest 1 Harvest 2 Harvest 3 Harvest 4
    Density (g/mL) 0.8427 ± 0.0020 0.8447 ± 0.0021 0.8449 ± 0.0013 0.8454 ± 0.0012
    Refractive index 1.4745 ± 0.0004 1.4744 ± 0.0003 1.4745 ± 0.0003 1.4744 ± 0.0004
    Optical activity (°) 79.52 ± 1.744 79.60 ± 1.699 78.96 ± 1.526 78.58 ± 1.457
    Hydrodistillation Cold-pressed
    Density (g/mL) 0.8404b ± 0.0010 0.8485a ± 0.0009
    Refractive index 1.4732b ± 0.0001 1.4757a ± 0.0001
    Optical activity (°) 81.02a ± 1.025 77.31b ± 1.118
    Different letters on the same line indicate a significant difference between the means at the p < 0.05 level.

     | Show Table
    DownLoad: CSV

    The refractive index values of the samples showed partial differences among the varieties. The refractive index value of the Ak Limon variety was statistically significantly lower than the other three varieties. The effect of harvest time on the refractive index remained insignificant (p > 0.05). Essential oil isolation methods had a significant effect on the refractive index (p < 0.05); it was significantly higher for the cold pressing method than hydrodistillation (Table 4). This may be due to the differences in the components in the oil content. The refractive index value for lemon peel essential oils obtained by cold pressing is 1.473–1.476 according to the European Pharmacopoeia [35] and 1.473–1.479 according to ISO standards [36]. The refractive index values of the peel oils obtained by two different methods from four lemon cultivars in four different harvest periods were compatible with the reference values.

    The optical activity values varied between 70.20° and 90.40° depending on the cultivar, harvest time, and isolation methods. The highest optical activity value was determined in Ak Limon, followed by Meyer, Interdonato, and Batem Pınarı cultivars. Regarding the harvest times, differences remained statistically insignificant. The optical activity of essential oils obtained by the hydrodistillation method was higher than those obtained by cold pressing. The optical activity of lemon peel essential oils, which is one of the most important quality criteria of essential oils, should range between +57° and +70° according to the European Pharmacopoeia when obtained by cold pressing [35] and between +66° and +78° for three different lemon types (obtained by cold-press) in ISO standards. In our study, the optical activity values for the Batem Pınarı and Interdonato varieties were compatible with these reference values, while the Meyer and Ak Limon varieties remained above these range values. This may be closely related to the composition of the peel oils. In fact, Ak Limon and Meyer varieties attract attention for their higher limonene content compared to the other two varieties.

    Essential oil compositions of the four lemon varieties were determined by the chromatographic method in order to reveal detailed quality characteristics according to harvest time and isolation method. Essential oil compositions for the lemon varieties Batem Pınarı, Interdonato, Meyer, and Ak Limon are given in Tables 5, 6, 7, and 8, respectively.

    Table 5.  Essential oil composition (%) of Batem Pınarı lemon variety according to harvest time and isolation method.
    Compound RRI Harvest 1 Harvest 2 Harvest 3 Harvest 4
    HD CP HD CP HD CP HD CP
    α-pinene 1030 1.4 1.1 1.6 1.2 1.5 1.2 1.5 1.3
    α-thujene 1133 0.4 0.3 0.4 0.3 0.4 0.3 0.3 0.3
    β-pinene 1122 4.8 4.1 4.7 3.6 4.7 4.0 5.1 4.8
    Sabinene 1132 1.0 0.8 0.9 0.8 0.9 0.9 1.0 1.0
    β-myrcene 1170 1.9 1.8 1.8 1.8 1.9 1.8 1.8 1.8
    α-terpinene 1187 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    Limonene 1214 76.0 76.2 76.4 77.5 77.3 76.9 76.5 76.7
    β-phellandrene 1223 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3
    β-ocimene 1242 0.1 0.2 0.1 0.2 0.1 0.2 0.1 0.1
    γ-terpinene 1260 9.4 9.5 9.3 9.3 8.9 9.4 9.1 9.2
    p-cymene 1285 0.2 0.1 0.1 - 0.2 - - -
    Terpinolene 1298 0.5 0.5 0.5 0.5 0.4 0.4 0.4 0.4
    Linalool 1549 0.2 0.2 0.2 0.2 0.2 0.1 0.2 0.1
    Bergamotene 1553 0.3 0.6 0.3 0.5 0.3 0.5 0.4 0.5
    Terpinen-4-ol 1595 0.2 - 0.2 - 0.1 0.2 0.2 0.2
    β-caryophyllene 1596 0.3 0.3 0.2 0.2 0.2 0.3 0.2 0.2
    α-humulene 1661 0.3 0.4 0.3 0.4 0.1 0.2 0.1 0.1
    (E)-β-farnesene 1663 0.3 0.3 0.3 0.3 0.1 0.1 0.1 0.1
    α-terpineol 1709 - - - - 0.1 0.1 0.1 0.1
    Neryl acetate 1734 0.3 0.5 0.4 0.5 0.5 0.7 0.5 0.6
    β-bisabolene 1746 0.5 1.0 0.5 0.9 0.5 0.9 0.6 0.9
    Geranial 1748 0.5 1.0 0.5 0.9 0.4 0.7 0.4 0.6
    Geranyl acetate 1764 0.2 0.3 0.2 0.2 0.3 0.4 0.4 0.4
    Nerol 1804 0.3 0.2 0.2 0.1 0.3 0.1 0.2 0.1
    Geraniol 1848 0.3 0.1 0.2 - 0.3 - 0.3 -
    Unidentified - 0.3 0.2 0.2 0.1 0.0 0.2 0.1 0.1
    HD: Hydrodistillation, CP: Cold-pressed.

     | Show Table
    DownLoad: CSV
    Table 6.  Essential oil composition (%) of Interdonato lemon variety according to harvest time and isolation method.
    Compound RRI Harvest 1 Harvest 2 Harvest 3 Harvest 4
    HD CP HD CP HD CP HD CP
    α-pinene 1030 1.3 1.0 1.3 1.1 1.5 1.1 1.3 1.2
    α-thujene 1133 0.3 0.3 0.4 0.3 0.4 0.3 0.3 0.3
    β-pinene 1122 3.2 3.3 3.6 2.7 3.6 3.1 4.0 3.5
    Sabinene 1132 0.6 0.7 0.7 0.6 0.7 0.7 0.8 0.7
    β-myrcene 1170 2.0 1.8 1.9 1.9 2.0 1.9 1.9 1.9
    α-terpinene 1187 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    Limonene 1214 79.5 78.2 78.6 79.8 79.9 79.6 79.2 79.0
    β-phellandrene 1223 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3
    β-ocimene 1242 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    γ-terpinene 1260 8.3 9.0 8.6 8.5 8.3 8.6 8.3 8.6
    p-cymene 1285 0.1 0.1 0.1 - 0.2 - - -
    Terpinolene 1298 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4
    Linalool 1549 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1
    Bergamotene 1553 0.3 0.4 0.2 0.3 0.1 0.3 0.2 0.3
    Terpinen-4-ol 1595 0.1 - 0.2 - 0.2 0.2 0.2 0.2
    β- caryophyllene 1596 0.3 0.5 0.2 0.2 0.1 0.4 0.2 0.3
    α- Humulene 1660 0.3 0.2 0.3 0.4 0.1 0.1 0.1 0.1
    (E)-β-farnesene 1663 0.3 0.3 0.3 0.3 - 0.1 0.1 0.1
    Neryl acetate 1734 0.4 0.4 0.3 0.4 0.3 0.4 0.5 0.6
    β-bisabolene 1746 0.5 0.6 0.4 0.6 0.3 0.7 0.5 0.8
    Geranial 1748 0.5 0.9 0.5 0.8 0.4 0.6 0.3 0.5
    Geranyl acetate 1764 0.3 0.7 0.4 0.5 0.3 0.5 0.3 0.4
    Nerol 1804 0.2 0.2 0.3 0.2 0.2 0.2 0.2 0.1
    Geraniol 1848 0.2 0.1 0.3 - 0.1 - 0.2 -
    Unidentified - 0.3 0.1 0.0 0.1 0.2 0.2 0.2 0.2
    HD: Hydrodistillation, CP: Cold-pressed.

     | Show Table
    DownLoad: CSV
    Table 7.  Essential oil composition (%) of Meyer variety according to harvest time and isolation method.
    Compound RRI Harvest 1 Harvest 2 Harvest 3 Harvest 4
    HD CP HD CP HD CP HD CP
    α-pinene 1030 1.2 1.0 1.3 1.0 1.3 1.0 1.3 1.1
    α -thujene 1133 0.4 0.3 0.4 0.3 0.4 0.3 0.4 0.3
    β-pinene 1122 0.7 0.6 0.8 0.7 0.7 0.6 0.8 0.7
    Sabinene 1132 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    β-myrcene 1170 2.0 1.9 2.0 1.9 2.0 1.9 1.9 1.9
    α-terpinene 1187 0.2 0.1 0.2 0.1 0.2 0.1 0.2 0.2
    Limonene 1214 84.4 84.3 84.3 84.0 84.4 84.2 83.6 84.1
    1, 8-cineole 1222 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2
    β-phellandrene 1223 0.3 0.3 0.3 0.3 0.3 0.3 0.2 0.2
    β-ocimene 1242 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
    γ-terpinene 1260 6.8 6.7 6.6 6.9 6.7 6.9 7.0 7.1
    p-cymene 1285 1.0 1.0 1.1 1.1 1.1 1.1 1.3 0.8
    Terpinolene 1298 0.4 0.4 0.4 0.4 0.4 0.4 0.5 0.4
    p-cymenene 1443 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.2
    Citronellal 1481 - 0.1 - 0.1 0.1 0.1 0.1 0.1
    Linalool 1549 0.2 0.2 0.2 0.2 0.2 0.1 0.2 0.2
    Bergamotene 1553 0.1 0.2 0.1 0.3 0.2 0.2 0.2 0.2
    β-elemen 1585 0.3 0.4 0.2 0.5 0.3 0.3 0.2 0.2
    Terpinen-4-ol 1595 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2
    β-caryophyllene 1596 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1
    (E)-β-farnesene 1663 0.1 0.1 0.1 0.1 - 0.1 - -
    α-terpineol 1709 0.2 0.2 0.2 0.2 0.1 0.13 0.1 0.1
    Neryl acetate 1734 0.1 0.2 0.1 0.2 0.1 0.2 0.1 0.2
    β-bisabolene 1746 0.2 0.3 0.2 0.3 0.2 0.3 0.1 0.3
    Geranial 1748 - 0.1 0.4 0.1 0.1 0.2 0.1 0.2
    Unidentified - 0.8 0.9 0.4 0.7 0.6 0.7 0.8 0.7
    HD: Hydrodistillation, CP: Cold-pressed.

     | Show Table
    DownLoad: CSV
    Table 8.  Essential oil composition (%) of Ak Limon cultivar according to harvest time and isolation method.
    Compound RRI Harvest 1 Harvest 2 Harvest 3 Harvest 4
    HD CP HD CP HD CP HD CP
    α-pinene 1030 0.8 0.8 0.8 0.8 0.8 0.7 0.8 0.8
    α-thujene 1133 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    β-pinene 1122 0.3 0.3 0.3 0.3 0.4 0.3 0.4 0.4
    Sabinene 1132 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.2
    β-myrcene 1170 1.9 1.9 1.8 1.9 1.9 1.8 1.8 1.8
    Limonene 1214 89.0 88.7 88.8 88.6 89.0 89.0 88.8 87.6
    β-phellandrene 1223 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    γ-terpinene 1260 3.0 2.9 2.8 3.0 3.0 2.7 3.1 3.2
    p-cymene 1285 1.0 0.9 1.0 0.9 1.1 0.9 1.1 1.1
    Terpinolene 1298 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    p-cymenene 1443 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4
    Citronellal 1481 0.9 1.3 1.1 1.3 1.0 1.2 0.9 1.3
    Linalool 1549 0.2 0.2 0.2 0.2 0.3 0.2 0.2 0.2
    α-bergamotene 1553 0.2 0.3 0.2 0.3 0.2 0.3 0.2 0.4
    β-caryophllene 1596 0.1 0.1 0.1 0.1 - - 0.1 0.1
    (E)-β-farnesene 1663 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
    α-terpineol 1709 0.1 - - - - - - -
    Germacrene D 1726 0.2 0.3 0.1 0.3 0.2 0.3 0.2 0.3
    β-bisabolene 1746 0.4 0.5 0.4 0.5 0.3 0.5 0.4 0.6
    Geranial 1748 0.3 0.3 0.2 0.3 0.1 0.2 0.1 0.3
    Citronellol 1772 0.3 0.2 0.3 0.2 0.4 0.2 0.4 0.2
    Unidentified - 0.2 0.4 0.4 0.4 0.2 0.4 0.3 0.5
    HD: Hydrodistillation, CP: Cold-pressed.

     | Show Table
    DownLoad: CSV

    Among the lemon cultivars evaluated within the scope of the study, 25 different components of Batem Pınarı were identified. The main component of all essential oils in all analyzed cultivars was limonene, which has a monoterpene structure. Limonene content for this cultivar ranged between 76.0%–77.5%, depending on harvest time and isolation method. Batem Pınarı had the lowest average limonene content. It is known that limonene, which has different functional properties, is also determinant for the characteristic smell of Citrus fruits. Three other components that were proportionally higher in Batem Pınarı were γ-terpinene, β-pinene, and β-myrcene. Batem Pınarı (3.6%–5.1%) and Interdonato (2.7%–4.0%) varieties differed significantly from the other two regarding their high β-pinene content. There were some slight differences in the ratios of these components and other essential oil components depending on the harvest time and isolation method.

    Proportionally, the second most important component in lemon peel oils was γ‑terpinene. After analyzing the ANOVA and Duncan multiple comparison test results, the γ‑terpinene ratio showed a significant variation regarding cultivars (Table 9, Table 10). Batem Pınarı was the standout cultivar with its γ-terpinene content of 9.3%. This was followed by Interdonato, Meyer, and Ak Limon cultivars. There was an inverse proportion between the rate of this component and limonene content. The effect of harvest time and isolation method on this component ratio remained limited.

    Table 9.  Analysis of variance results for β-myrcene, limonene, and γ-terpinene contents.
    β-myrcene Limonene γ-terpinene
    Statistic F p-value Statistic F p-value Statistic F p-value
    Cultivar (C) 41.85 0.0001 739.79 0.0001 1079.53 0.0001
    Harvest time (HT) 2.33 0.0930 1.94 0.1435 0.65 0.5898
    Isolation method (IM) 17.32 0.0002 0.15 0.7043 2.20 0.1474
    C × HT 0.86 0.5673 0.51 0.8533 0.65 0.7499
    C × IM 3.50 0.0264 0.57 0.6414 0.54 0.6560
    HT × IM 3.96 0.0165 0.80 0.5028 0.13 0.9419
    C × HT × IM 1.32 0.2665 0.68 0.7178 0.70 0.7042
    Coefficient of variation 1.7127 0.9533 4.9586

     | Show Table
    DownLoad: CSV
    Table 10.  Duncan's multiple comparison test results of β-myrcene, limonene, and γ-terpinene contents (%) of lemon peel essential oils according to cultivar, harvest time, and isolation method (mean ± standard error).
    Compound Batem Pınarı Interdonato Meyer Ak Limon
    β-myrcene 1.8b ± 0.011 1.9a ± 0.012 1.9a ± 0.011 1.8b ± 0.006
    Limonene 76.7d ± 0.204 79.2c ± 0.244 84.2b ± 0.109 88.7a ± 0.149
    γ-terpinene 9.3a ± 0.080 8.5b ± 0.105 6.8c ± 0.054 3.0d ± 0.065
    Harvest 1 Harvest 2 Harvest 3 Harvest 4
    β-myrcene 1.9 ± 0.019 1.9 ± 0.016 1.9 ± 0.013 1.9 ± 0.012
    Limonene 82.0 ± 1.281 82.3 ± 1.178 82.5 ± 1.189 81.9 ± 1.164
    γ-terpinene 6.9 ± 0.649 6.9 ± 0.643 6.8 ± 0.634 6.9 ± 0.602
    Hydrodistillation Cold-pressed
    β-myrcene 1.89a ± 0.011 1.86b ± 0.009
    Limonene 82.2 ± 0.857 82.2 ± 0.819
    γ-terpinene 6.8 ± 0.431 7.0 ± 0.449
    Different letters on the same line for each application indicate a difference between the averages at p < 0.05 level.

     | Show Table
    DownLoad: CSV

    There were some differences in other essential oil components of the cultivars, depending on the applications. Some other components found in proportionally high levels were α-pinene, β-pinene, and sabinene. Their proportions also varied depending on the cultivar, harvest time, and isolation method. Among these components, α-pinene showed a distribution in the range of 0.7–1.6; the highest was detected in the Batem Pınarı and the lowest in the Ak Limon variety. β-pinene was also detected at significant levels in lemon peel oils; it was highest in Batem Pınarı (3.63%–5.13%) and lowest in Ak Limon cultivars (0.3%–0.4%). Sabinen, which is proportionally important in lemon peel oils, was widely distributed from 0.1% to 1.0%. The lemon cultivars examined within the scope of this research were generally rich in terms of components. While 25 components were identified in Batem Pınarı and Meyer varieties, 24 components were identified in Interdonato, and 21 components were identified in Ak Limon. In addition to the components evaluated, some differences were observed in their proportions depending on the cultivar, harvest time, and isolation method. However, these were very low, especially in the essential oil composition depending on the isolation method.

    Reference values for some component ratios have been specified in the European Pharmacopoeia. These components include limonene and γ-terpinene, with reference values of 56%–78% and 6%–12%, respectively [35]. In ISO standards, limonene and γ-terpinene limit values are reported to be 60%–80% and 6%–12%, respectively [36].

    The statistical analysis of limonene, β-myrcene, and γ-terpinene components, which are proportionally higher in all samples according to cultivar, harvest time, and isolation method, are reported in Table 9 and Table 10. While the effect of variety and isolation method on the β-myrcene ratio of these components was significant, the effect of harvest time was not. Among the varieties, Meyer had the highest β-myrcene ratio, followed by Interdonato, Ak Limon, and Batem Pınarı cultivars. When the isolation methods were evaluated, the β‑myrcene ratio obtained by the hydrodistillation method was higher than that by cold pressing. Regarding harvest times, there were almost no differences in β-myrcene ratios. Limonene had the highest proportion in lemon peel oils, being the characteristic component of Citrus peel essential oils. While the effect of the cultivar on the limonene content was statistically significant, the effect of harvest time and isolation method was not (Tables 9 and 10). Limonene content significantly changed depending on the varieties; Ak Limon had the highest limonene content, followed by Meyer, Interdonato, and Batem Pınarı. No significant changes were detected in limonene, β-myrcene, and γ-terpinene ratios according to harvest time. According to the isolation method, the β-myrcene ratio was significantly higher in the essential oils obtained by hydrodistillation.

    Benoudjit et al. [37] found that the major components of lemon peel essential oils obtained by cold pressing were limonene (64.75%), γ-terpinene (11.72%), and β-pinene (11.24%). Kırbaslar et al. [38] determined that peel oils from cold-pressed Turkish lemons (Citrus limon (L.) Burm. f. contained high amounts of monoterpene hydrocarbons (89.9%), and its major components are limonene (61.8%), γ-terpinene (10.6%), and β-pinene (8.1%). Paw et al. [39] determined that the major components in the chemical composition of essential oils obtained by hydrodistillation from the peel of Citrus limon L. Burmf grown in North East India are limonene (55.40%) and neral (10.39%) compounds. Owolabi et al. [40] determined that limonene (85.9%), sabinene (3.9%), and myrcene (3.1%) were the dominant components in the essential oils obtained by hydrodistillation of Citrus lemon dry peels grown in Nigeria. Aboubi et al. [41] determined that the main components of essential oils obtained by hydrodistillation in three different regions of Morocco were limonene (48.56%–53.44%), β-pinene (17.78%–17.37%), and γ-terpinene (12.81%–12.33%). Dao et al. [42] determined that the major components in the chemical composition of the essential oils obtained by hydrodistillation of lemon peel were limonene (62.17%), γ-terpinene (12.35), and β-pinene (11.72). Gök et al. [43] extracted the peel of Cyprus lemon (Citrus limon (L.) Burm. f.) by supercritical CO2 extraction (SFE), cold pressing (CP), and hydrodistillation (HD) methods. Limonene, γ-terpinene, and β-pinene were the major compounds in lemon extracts obtained by all three methods. Akarca and Sevik [44] determined the main components of Kütdiken lemon peel essential oil to be limonene (68.65%), γ-terpinene (10.81%), and β-pinene (7.74%). According to long-term data, it was reported that the limonene content of lemon peel oil was 59.57%–79.15% [45]. Brahmi et al. [10] analyzed lemon peel oils obtained by hydrodistillation and microwave-assisted hydrodistillation extraction methods; there were significant changes in the ratio of all components, including the main components limonene and γ-terpinene, depending on the extraction method.

    These data show that Batem Pınarı and, partly, the Interdonato varieties comply with the standards. Meyer and Ak Limon varieties attract attention with their higher limonene content. The data show that there is a significant variation. It has been reported that many factors, such as genotype, origin, environment, extraction method, and degree of maturity, may be effective in this difference [5,13,46]. This reveals that the essential oils obtained by both methods may show similar functional properties. The data show that it would be useful to conduct studies depending on the intended use.

    This research revealed that the lemon peel essential oil composition and some of its properties may vary depending on the cultivar, harvest time, and isolation method. When the essential oil amounts of the samples were evaluated, there were significant differences between cultivars—the Interdonato variety had the highest value. This also varied depending on the harvest time of the samples. The density, refractive index, and optical activity values of the analyzed essential oils showed significant differences depending on the variety and isolation method. Regarding the essential oil composition, the number of components detected and their ratio differed depending on the cultivar and harvest time. When a general evaluation was made, the differences in component ratios determined according to the isolation method remained statistically insignificant. The main component in all samples was limonene, ranging in proportion from 76.0% to 89.0%. The limonene content of Batem Pınarı and Interdonato varieties was generally consistent with the literature. On the other hand, the limonene content of Meyer and Ak Limon varieties differed from the literature and standard data (ISO, European Pharmacopeia). In particular, Ak Limon had higher limonene content than the other varieties and standard reference values. Therefore, Ak Limon may make a difference in terms of functional properties depending on the area of use. The findings obtained here show that there is a variation in lemon peel oils. Particular attention should be paid to cultivar selection and isolation methods, depending on the area of use.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This study was prepared using the findings of the project no. TAGEM/TBAD/B/21/A7/P6/2370, supported by the General Directorate of Agricultural Research and Policies (TAGEM), Republic of Türkiye Ministry of Agriculture and Forestry.

    The authors declare no conflict of interest.

    Plant authority, E.T.; conceptualization, M.G.; methodology, M.G.; software, M.G. and A.M.G.; validation, B.B., M.G. and A.M.G.; formal analysis, B.B. and M.G.; investigation, M.G. and O.Ç., D.Y.T., H.T.; resources, B.B. and M.G.; data curation, B.B., M.G., O.Ç., D.Y.T., H.T., E.T. and A.M.G.; writing—original draft preparation, M.G., B.B. O.Ç., D.Y.T., H.T., E.T.; writing—review and editing, B.B., M.G. and A.M.G.; visualization, B.B., M.G. and A.M.G.; supervision, B.B., M.G. and A.M.G.; project administration, B.B., M.G. and A.M.G.; funding acquisition, M.G. All authors have read and agreed to the published version of the manuscript.



    [1] Hepburn C, Qi Y, Stern N, et al. (2021) Towards carbon neutrality and China's 14th Five-Year Plan: Clean energy transition, sustainable urban development, and investment priorities. Environ Sci Ecotechnology 8: 100130. https://doi.org/10.1016/j.ese.2021.100130 doi: 10.1016/j.ese.2021.100130
    [2] Hayat MB, Ali D, Monyake KC, et al. (2019) Solar energy—A look into power generation, challenges, and a solar-powered future. Int J Energy Res 43: 1049-1067. https://doi.org/10.1002/er.4252 doi: 10.1002/er.4252
    [3] Bai S, Bi X, Han C, et al. (2022) Evaluating R&D efficiency of China's listed lithium battery enterprises. Front Eng Manage 9: 473-485. https://doi.org/10.1007/S42524-022-0213-5 doi: 10.1007/S42524-022-0213-5
    [4] Li G, Li M, Taylor R, et al. (2022) Solar energy utilisation: Current status and roll-out potential. Appl Therm Eng 209: 118285. https://doi.org/10.1016/j.applthermaleng.2022.118285 doi: 10.1016/j.applthermaleng.2022.118285
    [5] Izam NSMN, Itam Z, Sing WL, et al. (2022) Sustainable development perspectives of solar energy technologies with focus on solar photovoltaic—A review. Energies 15: 2790. https://doi.org/10.3390/EN15082790 doi: 10.3390/EN15082790
    [6] Zhang L, Du Q, Zhou D, et al. (2022) How does the photovoltaic industry contribute to China's carbon neutrality goal? Analysis of a system dynamics simulation. Sci Total Environ 808: 151868. https://doi.org/10.1016/J.SCITOTENV.2021.151868 doi: 10.1016/J.SCITOTENV.2021.151868
    [7] Gao X, Zhang Y (2022) What is behind the globalization of technology? Exploring the interplay of multi-level drivers of international patent extension in the solar photovoltaic industry. Renewable Sustainable Energy Rev 163: 112510. https://doi.org/10.1016/J.RSER.2022.112510 doi: 10.1016/J.RSER.2022.112510
    [8] Sun H, Zhi Q, Wang Y, et al. (2014) China's solar photovoltaic industry development: The status quo, problems and approaches. Appl Energy 118: 221-230. https://doi.org/10.1016/j.apenergy.2013.12.032 doi: 10.1016/j.apenergy.2013.12.032
    [9] Shang WL, Lv ZH (2023) Low carbon technology for carbon neutrality in sustainable cities: A survey. Sustainable Cities Soc 92: 104489. https://doi.org/10.1016/J.SCS.2023.104489 doi: 10.1016/J.SCS.2023.104489
    [10] Lei Y, Lu X, Shi M, et al. (2019) SWOT analysis for the development of photovoltaic solar power in Africa in comparison with China. Environ Impact Asses 77: 122-127. https://doi.org/10.1016/j.eiar.2019.04.005 doi: 10.1016/j.eiar.2019.04.005
    [11] Yin S, Yu YY (2022) An adoption-implementation framework of digital green knowledge to improve the performance of digital green innovation practices for industry 5.0. J Cleaner Prod 363: 132608. https://doi.org/10.1016/J.JCLEPRO.2022.132608 doi: 10.1016/J.JCLEPRO.2022.132608
    [12] George G, Merrill RK, Schillebeeckx SJ (2021) Digital sustainability and entrepreneurship: How digital innovations are helping tackle climate change and sustainable development. Entrep Theory Pract 45: 999-1027. https://doi.org/10.1177/1042258719899425 doi: 10.1177/1042258719899425
    [13] Shubbak MH (2019) The technological system of production and innovation: The case of photovoltaic technology in China. Res Policy 48: 993-1015. https://doi.org/10.1016/j.respol.2018.10.003 doi: 10.1016/j.respol.2018.10.003
    [14] Choudhary P, Srivastava RK (2019) Sustainability perspectives—A review for solar photovoltaic trends and growth opportunities. J Cleaner Prod 227: 589-612. https://doi.org/10.1016/j.jclepro.2019.04.107 doi: 10.1016/j.jclepro.2019.04.107
    [15] Dong T, Yin S, Zhang N (2023) The interaction mechanism and dynamic evolution of digital green innovation in the integrated green building supply chain. Systems 11: 122. https://doi.org/10.3390/systems11030122 doi: 10.3390/systems11030122
    [16] Yin S, Dong T, Li B, et al. (2022) Developing a conceptual partner selection framework: Digital green innovation management of prefabricated construction enterprises for sustainable urban development. Buildings 12: 721. https://doi.org/10.3390/BUILDINGS12060721 doi: 10.3390/BUILDINGS12060721
    [17] Yin S, Wang Y, Xu J (2022) Developing a conceptual partner matching framework for digital green innovation of agricultural high-end equipment manufacturing system toward agriculture 5.0: A novel niche field model combined with fuzzy VIKOR. Front Psychol 13: 924109. https://doi.org/10.3389/FPSYG.2022.924109 doi: 10.3389/FPSYG.2022.924109
    [18] Zeng J, Chen X, Liu Y, et al. (2022) How does the enterprise green innovation ecosystem collaborative evolve? Evidence from China. J Cleaner Prod 375: 134181. https://doi.org/10.1016/J.JCLEPRO.2022.134181 doi: 10.1016/J.JCLEPRO.2022.134181
    [19] Gu YD, Zhou WL, Peng JS (2014) The impact of organizational innovation climate and perceived success and failure experience on the innovation efficacy of researchers. Res Dev Manage 5: 82-94. https://doi.org/10.13581/j.cnki.rdm.2014.05.009 doi: 10.13581/j.cnki.rdm.2014.05.009
    [20] Wang H, Chang Y (2017) The impact of organizational innovation climate and work motivation on employee innovation behavior. Manage Sci 3: 51-62. Available from: https://kns.cnki.net/kcms2/article/abstract?v = l5E5JTlxS0tbWbvZONoYxA-9UG7raln2H657MlJgwLIdI-lx80-kowzYWSlQrOfmn74GA7AGO6U_dbnFYA0lsboZRLLDcmMGxXYDEcXuEyarmvb_OfG712UOTWglDmisWsp2dDxRrIw = & uniplatform = NZKPT & language = CHS
    [21] Yan L, Zhang ZH (2017) The mixed influence mechanism of organizational innovation climate on employee innovation behavior. Res Dev Manage 9: 97-105. https://doi.org/10.19571/j.cnki.1000-2995.2017.09.012 doi: 10.19571/j.cnki.1000-2995.2017.09.012
    [22] Xie XM, Xu MY (2014) Collaborative innovation mechanism, collaborative innovation atmosphere and innovation performance: Using collaborative network as a mediating variable. Res Dev Manage 12: 9-16. https://doi.org/10.19571/j.cnki.1000-2995.2014.12.002 doi: 10.19571/j.cnki.1000-2995.2014.12.002
    [23] Shanker R, Bhanugopan R, Van der Heijden BI, et al. (2017) Organizational climate for innovation and organizational performance: The mediating effect of innovative work behavior. J Vocat Behav 100: 67-77. https://doi.org/10.1016/j.jvb.2017.02.004 doi: 10.1016/j.jvb.2017.02.004
    [24] Dang XH, Wang F (2014) The relationship between core enterprise leadership style, innovation atmosphere and network innovation performance. Prediction 2: 7-12. https://doi.org/10.11847/fj.33.2.7 doi: 10.11847/fj.33.2.7
    [25] Wang QE, Lai W, Ding M, et al. (2022) Research on cooperative behavior of green technology innovation in construction enterprises based on evolutionary game. Buildings 12: 19. https://doi.org/10.3390/BUILDINGS12010019 doi: 10.3390/BUILDINGS12010019
    [26] Huang SA, Wei Q (2011) Cooperative Behavior and Cooperative economics: A theoretical framework. Econ Theory Econ Manage 2: 5-16. https://doi.org/10.3969/j.issn.1000-596X.2011.02.001 doi: 10.3969/j.issn.1000-596X.2011.02.001
    [27] Shubbak MH (2019) Advances in solar photovoltaics: Technology review and patent trends. Renewable Sustainable Energy Rev 115: 109383. https://doi.org/10.1016/j.rser.2019.109383 doi: 10.1016/j.rser.2019.109383
    [28] Opitz T, Schwaiger C (2023) Reciprocal preferences in matching markets. Max Planck Inst Innovation Competition Res 2023: 388. Available from: https://epub.ub.uni-muenchen.de/94762/1/388.pdf.
    [29] Rao S, Pan Y, He J, et al. (2022) Digital finance and corporate green innovation: Quantity or quality? Environ Sci Pollut Res 29: 56772-56791. https://doi.org/10.1007/S11356-022-19785-9 doi: 10.1007/S11356-022-19785-9
    [30] Mariani L, Trivellato B, Martini M, et al. (2022) Achieving sustainable development goals through collaborative innovation: Evidence from four European initiatives. J Bus Ethics 180: 1075-1095. https://doi.org/10.1007/S10551-022-05193-Z doi: 10.1007/S10551-022-05193-Z
    [31] Fang Z, Razzaq A, Mohsin M, et al. (2022) Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China. Technol Soc 68: 101844. https://doi.org/10.1016/J.TECHSOC.2021.101844 doi: 10.1016/J.TECHSOC.2021.101844
    [32] Wang M, Lian S, Yin S, et al. (2020) A three-player game model for promoting the diffusion of green technology in manufacturing enterprises from the perspective of supply and demand. Mathematics 8: 1585. https://doi.org/10.3390/math8091585 doi: 10.3390/math8091585
    [33] Barczak G, Hopp C, Kaminski J, et al. (2022) How open is innovation research?—An empirical analysis of data sharing among innovation scholars. Ind Innov 29: 186-218. https://doi.org/10.1080/13662716.2021.1967727 doi: 10.1080/13662716.2021.1967727
    [34] Vivona R, Demircioglu MA, Audretsch DB (2022) The costs of collaborative innovation. J Technol Transf 48: 873-899. https://doi.org/10.1007/S10961-022-09933-1 doi: 10.1007/S10961-022-09933-1
    [35] Dufwenberg M, Gneezy U, Güth W, et al. (2001) Direct vs indirect reciprocity: An experiment. Homo oeconomicus 18: 19-30. Available from: https://www.u.arizona.edu/~martind1/Papers-Documents/dvir.pdf.
    [36] Hilbe C, Chatterjee K, Nowak MA (2018) Partners and rivals in direct reciprocity. Nat Hum Behav 2: 469-477. https://doi.org/10.1038/s41562-018-0320-9 doi: 10.1038/s41562-018-0320-9
    [37] Nowak MA, Sigmund K (2005) Evolution of indirect reciprocity. Nature 437: 1291-1298. https://doi.org/10.1038/nature04131 doi: 10.1038/nature04131
    [38] Lee S, Murase Y, Baek SK (2022) A second-order perturbation theory for the continuous model of indirect reciprocity. J Theor Biol 548: 111202. https://doi.org/10.48550/arXiv.2203.03920 doi: 10.48550/arXiv.2203.03920
    [39] Dong T, Yin S, Zhang N (2022) New energy-driven construction industry: Digital green innovation investment project selection of photovoltaic building materials enterprises using an integrated fuzzy decision approach. Systems 11: 11. https://doi.org/10.3390/systems11010011 doi: 10.3390/systems11010011
    [40] Walter CE, Au-Yong-Oliveira M, Miranda Veloso C, et al. (2022) R&D tax incentives and innovation: Unveiling the mechanisms behind innovation capacity. J Adv Manage Res 19: 367-388. https://doi.org/10.1108/JAMR-06-2021-0194 doi: 10.1108/JAMR-06-2021-0194
    [41] Hameed WU, Naveed F (2019) Coopetition-based open-innovation and innovation performance: Role of trust and dependency evidence from Malaysian high-tech SMEs. Pak J Commer Soc Sci 13: 209-230. Available from: http://hdl.handle.net/10419/196194.
    [42] Xia W, Li B, Yin S (2020) A prescription for urban sustainability transitions in China: Innovative partner selection management of green building materials industry in an integrated supply chain. Sustainability 12: 2581. https://doi.org/10.3390/su12072581 doi: 10.3390/su12072581
    [43] Van Veelen M, García J, Rand DG, et al. (2012) Direct reciprocity in structured populations. Proc Natl Acad Sci 109: 9929-9934. https://doi.org/10.1073/pnas.1206694109 doi: 10.1073/pnas.1206694109
    [44] Leimgruber KL (2018) The developmental emergence of direct reciprocity and its influence on prosocial behavior. Curr Opin Psychol 20: 122-126. https://doi.org/10.1016/j.copsyc.2018.01.006 doi: 10.1016/j.copsyc.2018.01.006
    [45] Liu Z, Qian Q, Hu B, et al. (2022) Government regulation to promote coordinated emission reduction among enterprises in the green supply chain based on evolutionary game analysis. Resour Conserv Recycl 182: 106290. https://doi.org/10.1016/J.RESCONREC.2022.106290 doi: 10.1016/J.RESCONREC.2022.106290
    [46] Santos FP, Pacheco JM, Santos FC (2021) The complexity of human cooperation under indirect reciprocity. Phil Trans R Soc B 376: 20200291. https://doi.org/10.1098/RSTB.2020.0291 doi: 10.1098/RSTB.2020.0291
    [47] Okada I (2020) A review of theoretical studies on indirect reciprocity. Games 11: 27. https://doi.org/10.3390/g11030027 doi: 10.3390/g11030027
    [48] Nowak MA, Sigmund K (1998) Evolution of indirect reciprocity by image scoring. Nature 393: 573-577. https://doi.org/10.1038/31225 doi: 10.1038/31225
    [49] Yu H, Jiang Y, Zhang Z, et al. (2022) The impact of carbon emission trading policy on firms' green innovation in China. Financ Innov 8: 55. https://doi.org/10.1186/S40854-022-00359-0 doi: 10.1186/S40854-022-00359-0
  • This article has been cited by:

    1. Meriem Slama, Nabila Slougui, Dounia Ounnas, Akila Benaissa, Insaf Bataiche, Hydrodistillation Optimization for Borago officinalis L. Essential Oil and Its Chemical Composition Analysis, 2024, 1612-1872, 10.1002/cbdv.202402478
    2. Wenling Sun, Yanhong Liu, Dengwen Lei, Lixuan Wei, Jiale Guo, Dynamic changes of drying behavior, physicochemical quality, and volatile oil of Exocarpium citri grandis under different drying temperatures, 2025, 90, 0022-1147, 10.1111/1750-3841.17654
    3. Imen Lahmar, Ikbal Chaieb, Lyubov Yotova, Naceur El Ayeb, Influence of harvesting period on essential oil: composition, bioactivity of Cymbopogon citratus (DC.) Stapf and insecticidal activity against Tribolium castaneum (Herbst, 1797) in stored product, 2025, 2365-6433, 10.1007/s41207-025-00756-8
    4. Birinchi Bora, Tao Yin, Bin Zhang, Can Okan Altan, Soottawat Benjakul, Comparison between Indian and commercial chamomile essential oils: Chemical compositions, antioxidant activities and preventive effect on oxidation of Asian seabass visceral depot fat oil, 2025, 25901575, 102292, 10.1016/j.fochx.2025.102292
    5. Burcu Bozova, Muharrem Gölükcü, Haluk Tokgöz, Demet Yıldız Turgut, Orçun Çınar, Ertuğrul Turgutoglu, Angelo Maria Giuffrè, The physico-chemical characteristics of peel essential oils of sweet orange with respect to cultivars, harvesting times and isolation methods, 2025, 10, 2471-2086, 40, 10.3934/agrfood.2025003
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1568) PDF downloads(81) Cited by(11)

Figures and Tables

Figures(8)  /  Tables(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog