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Research article

Addressing the gender differentiated investment risks to climate-smart agriculture

  • This paper argues that closing the gender gap in land and other productive resources can provide a “triple dividend” of gender equality, food security and climate management, thereby offering a cost-effective approach to the pursuit of the Sustainable Development Goals. However, climate change compounds the structural barriers to gender equality that women farmers face, rapidly shrinking the window of opportunity to realize this triple dividend. Yet climate policies largely overlook the gender gap in agriculture.
    The growing literature on the gender gap aims to better quantify its implications for agricultural productivity but does not provide a framework to prioritize policy responses. To complement these econometric efforts, this paper proposes a three-step methodology to assist policy-makers in developing countries in disentangling the opportunities and trade-offs of different policies and interventions to close the gender gap that impedes climate-smart agriculture (CSA) for women.Barrier and risk analyses are increasingly used to identify public instruments that can catalyze climate smart investments. Building on this proven methodology, the paper first develops a table that clusters barriers to CSA into nine independent risk categories. Second, it overlays a gender analysis upon this gender-neutral barrier and risk table to identify gender-differentiated risks and barriers to CSA. Third, it maps identified gender-neutral and differentiated investment risks against possible remedial public policy instruments.
    The analysis suggests that about half of identified CSA investment risks have a higher probability of occurrence for women farmers than for men farmers. Furthermore, women farmers might face additional gender-specific barriers, mostly linked to their disproportionate responsibility for unpaid domestic and care work, the risk of violence and unequal power relations with men in the household and community. Targeted interventions will be required to address these gender differentiated investment risks and ensure that CSA market transformation efforts benefit men and women farmers equally.

    Citation: Yannick Glemarec. Addressing the gender differentiated investment risks to climate-smart agriculture[J]. AIMS Agriculture and Food, 2017, 2(1): 56-74. doi: 10.3934/agrfood.2017.1.56

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  • This paper argues that closing the gender gap in land and other productive resources can provide a “triple dividend” of gender equality, food security and climate management, thereby offering a cost-effective approach to the pursuit of the Sustainable Development Goals. However, climate change compounds the structural barriers to gender equality that women farmers face, rapidly shrinking the window of opportunity to realize this triple dividend. Yet climate policies largely overlook the gender gap in agriculture.
    The growing literature on the gender gap aims to better quantify its implications for agricultural productivity but does not provide a framework to prioritize policy responses. To complement these econometric efforts, this paper proposes a three-step methodology to assist policy-makers in developing countries in disentangling the opportunities and trade-offs of different policies and interventions to close the gender gap that impedes climate-smart agriculture (CSA) for women.Barrier and risk analyses are increasingly used to identify public instruments that can catalyze climate smart investments. Building on this proven methodology, the paper first develops a table that clusters barriers to CSA into nine independent risk categories. Second, it overlays a gender analysis upon this gender-neutral barrier and risk table to identify gender-differentiated risks and barriers to CSA. Third, it maps identified gender-neutral and differentiated investment risks against possible remedial public policy instruments.
    The analysis suggests that about half of identified CSA investment risks have a higher probability of occurrence for women farmers than for men farmers. Furthermore, women farmers might face additional gender-specific barriers, mostly linked to their disproportionate responsibility for unpaid domestic and care work, the risk of violence and unequal power relations with men in the household and community. Targeted interventions will be required to address these gender differentiated investment risks and ensure that CSA market transformation efforts benefit men and women farmers equally.


    1. Introduction

    Lignocellulosic feedstock is well known as a renewable source of biofuels. This resource is attractive because it does not compete directly with edible plant production. However, most current biomass conversion processes only use cellulose and hemicellulose, leaving lignin behind as a low-grade boiler fuel feedstock. The ability to generate higher value fuel and chemical intermediates from this lignin would increase the economic attractiveness of lignocellulosic biofuel facilities.

    Lignin is a complex three-dimensional polymer, which is rich in aromatic phenolic units. Cross-linkages within lignin provide structural stability to plants but also hinders decomposition. Furthermore, lignin isolation from plant biomass by most of the available industrial methods, e.g., obtaining Kraft lignin, was recently shown to replace ether phenolic unit links, particularly the most abundant β-O-4 bonds, into much more recalcitrant C-C bonds [1,2,3,4,5].

    Various lignin degradation methods such as pyrolysis, acidolysis, hydrogenolysis, enzyme-based oxidation, etc., have been proposed [6,7,8]. Lignin thermal decomposition products are typically separated into four primary fractions: aqueous distillate, tar, gaseous products and coke [9]. The aqueous distillate typically includes groups of products such as cresols, catechols, vanillin and guaiacols, which are difficult to obtain from a single step petrochemical process and thus have potential as valuable chemical or fuel intermediates [10].

    Table 1 provides a summary of representative previous studies where heterogeneous acids were used to facilitate the decomposition of lignin. This information, given the variation in reaction conditions and analytical protocols (as well as hydrogen generation when using tetralin or formic acid), suggests that more sophisticated acid catalysts may show greater promise than simple inorganic acids. Among well-known commercially available acidic catalysts, zeolites present an attractive option as they are able to degrade a variety of biomass feedstocks into mixtures of aromatics [11]. Zeolites are composed of a silica and alumina tetrahedral network. Their microporous structure allows small reactants to diffuse into the crystal where many active acidic sites are located [12]. However, the comparison provided in Table 1 shows that one of the major drawbacks of using zeolites to degrade processed lignin is the significant amount of char that forms on or within the zeolite's structure. Char fouls the catalyst and may make its regeneration expensive or even infeasible.

    Table 1. Representative previous studies of heterogeneous acid catalyzed degradation of lignin.
    Catalyst Feedstock Reaction condition Products Reference
    H2O-CO2 Alkali lignin 200−500 ℃, water, 10 min 30% phenolic organic products at 350 ℃ [13]
    Si-Al cat ZrO2-Al2O3-FeOx Kraft lignin 200−350 ℃, water/butanol, 2 h 6.5% phenols [14]
    ZSM-5, ß-zeolite, Y-zeolite Lignin extracted from pulp mill black liquor Fast pyrolysis, 650 ℃, helium flow Increasing the SiO2/Al2O3 ratio in zeolites structure decreased the aromatic yield [15]
    Mo2N/γ-Al2O3 Alkaline lignin 500–850 ℃, fast pyrolysis, helium flow Presence of Mo2N/γ-Al2O3 decreased oxygenated volatile organics and increased aromatic hydrocarbons (mostly benzene and toluene) [16]
    HZSM-5: SiO2/Al2O3 = 25–200 Alkaline lignin 500–764 ℃, 3–99 sec, helium flow Aromatics increased from 0.2 to 5.2 wt% while coke also increased from 24 to 39.7% [17]
    Formic acid, Pd/C, Nafion SAC-13 Kraft spruce 300 ℃, water Guaiacol, pyrocatechol and resorcinol as main phenols [18]
    ZrO2 + K2CO3 Kraft lignin 350 ℃, phenol/water Presence of K2CO3 increased the formation of 1-ring aromatic products from 17% to 27% [19]
    Ni-Mo/Al2O3 Wheat straw soda lignin 350 ℃, tetralin, 5 h Lignin was converted into gases (9 wt%) and liquids (65 wt%) [20]
    MoS2 Kraft lignin 400–450 ℃, 1 h, water Phenols (8.7% of the original lignin), cyclohexanes (5.0%), benzenes (3.8%), naphthalenes (4.0%), and phenanthrenes (1.2%) were produced [21]
     | Show Table
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    Hydrogenated Zeolite Socony Mobil-5 (H-ZSM-5) has a higher density of both Brønsted and Lewis acid sites (related to the activity of many catalysts in C-C cleavage reactions) compared to most commercially available catalysts [22]. However, this does not necessarily mean that higher catalyst acidity will result in higher conversion of lignin to low molecular weight compounds as the small pore size limits catalytic activity to secondary reactions [23]. The zeolite pore size is usually around 2–4 nm while silica-alumina catalysts have a pore diameter of around 8 nm, which may be more appropriate for degradation of large polymer lignin molecules or oligomeric intermediates formed as a result of prior thermal decomposition of this feedstock.

    A comparison of amorphous SiO2-Al2O3 catalysts to various types of zeolites shows that amorphous SiO2-Al2O3 has a lower surface area than HZSM-5, Y-zeolite or ß-zeolite [24]. However, amorphous SiO2-Al2O3 has the largest pore volume, which is around 0.75 mL/g. Either lignin macromolecules or oligomeric intermediates of primary reactions may diffuse into these large pores, allowing the catalyst to participate in either primary or secondary degradation reactions. By contrast, smaller pore size zeolites are likely only facilitating either secondary or even further subsequent reactions. Lignin's recalcitrance toward degradation suggests that enhancing the primary decomposition reactions may increase the yield of the most valuable degradation products, e.g., organic monomers and dimers.

    Therefore, in this study, catalytic thermal degradation of lignin was investigated using silica-alumina and γ-alumina catalyst supports. We postulated 1) that the use of catalysts with a pore size larger than that of zeolites might enhance the targeted catalytic activity and 2) that a similar, potentially synergetic effect would be achieved while using a copper dopant. Previous research has shown that Cu-doped catalysts not only improved the physical strength of the catalyst under hydrotreatment conditions, but also deoxygenated lignin model compounds [28]. Preliminary tests (results not shown) also identified copper from a suite of potential metal dopants as the most attractive additive to promote lignin decomposition into monomer and dimer products. Screening was conducted to examine the effect of the catalysts and operating conditions on final products yield and composition. This was followed by a parametric study to determine the optimum reaction temperature. The application of detailed chemical analysis protocols resulted in a comprehensive characterization of the reaction products.


    2. Materials and method


    2.1. Materials

    Indulin AT (softwood lignin commercialized in Kraft form), was supplied by MeadWestvaco (Glen Allen, VA). Silica-alumina was purchased from Sigma-Aldrich (St. Louis, MO) and γ-alumina with a specific surface area of 255 m2/g and a total pore volume of 1.12 cm3/g was obtained from Alfa Aesar (Haverhill, MA) as 3 mm extruded granules. γ-alumina granules were crushed and sieved to 150 μm particles. Copper (Ⅱ) nitrate hemipentahydrate (Cu(NO3)2 × 2.5H2O), and acetone (≥99.9% purity) were purchased from Sigma Aldrich (St. Louis, MO). Purified water was obtained from an in-house milli-Q ultrafiltration system and was used for catalyst preparation and degradation experiments.


    2.2. Experimental methods


    2.2.1. Metal doped catalyst preparation

    Before impregnation, SiO2-Al2O3 and γ-alumina catalyst supports were calcined separately at 500 ℃ for 6 hours in a muffle furnace for complete transformation to their protonic forms. An aqueous colloidal solution with a defined quantity of Cu was added to a beaker containing activated SiO2-Al2O3 or γ-alumina (depending on the catalyst being made). Each solution was stirred at room temperature overnight. The well-dispersed mixture was then placed in the furnace at 120 ℃ for 12 hours where all the water evaporated. The solid was crushed to fine powder and was again placed in the oven at 500 ℃ for 4 hours to complete the calcination process. X-ray diffraction (XRD) analysis was used to verify the concentration of doped copper on catalyst supports.


    2.2.2. Lignin decomposition experiments

    All experiments were conducted in a 500 mL batch autoclave reactor purchased from Parr Instruments Company (Parr 4575 series HP/HT). A schematic diagram of the reactor is shown in Figure 1. Defined amounts of lignin, metal-doped catalyst and purified water were mixed in a beaker. To obtain a homogeneous suspension of water/lignin/catalyst, the beaker was placed in a sonicator for 30 minutes. The mixture was poured into the reaction vessel, which was then sealed. The reaction vessel was purged three times with nitrogen in order to remove atmospheric gases. After purging the vessel, the reactor was charged for one last time with nitrogen to the reaction starting pressure.

    Figure 1. Schematic diagram of the batch reaction vessel used for all lignin decomposition experiments.

    Depending on the desired reaction temperature, it took around 2 to 3.5 hours for the system to reach the target temperature. After completion of reaction, the vessel was cooled down by cold running water inside a coil inserted in the reactor. The system temperature returned to room temperature in approximately one hour. After cooling, gas was vented, and the mixture of liquid and solid products were separated using vacuum filtration. The reaction vessel was then washed with acetone to collect solid residues. Solid residues on the filter paper were recovered using acetone and dried at 80 ℃ for further gravimetric analysis.


    2.2.3. Screening studies

    A six-run Plackett-Burman design was used to screen the importance of six factors associated with catalyst synthesis and optimization of the reaction condition. Table 2 shows the experimental design with the selected factors at their low and high levels. The experiments were conducted in duplicate and each replicate was studied in a block. All the experiments in each replicate were randomized for screening the significant factors.

    Table 2. Values and experimental design for the six factors tested in screening study.
    Run order Catalyst support Dopant concentration wt% Lignin concentration (wt%) Lignin-to-catalyst ratio (g/g) Stirrer rate (rpm) Reaction time (min)
    1 Al2O3 5 1.7% 1 400 45
    2 Al2O3 10 1.2% 1 400 30
    3 SiO2/Al2O3 10 1.2% 1.5 400 45
    4 SiO2/Al2O3 10 1.7% 1 320 30
    5 Al2O3 5 1.2% 1.5 320 30
    6 SiO2/Al2O3 5 1.7% 1.5 320 45
    7 SiO2/Al2O3 5 1.7% 1.5 320 45
    8 Al2O3 5 1.2% 1.5 320 30
    9 Al2O3 10 1.2% 1 400 30
    10 SiO2/Al2O3 10 1.2% 1.5 400 45
    11 SiO2/Al2O3 10 1.7% 1 320 30
    12 Al2O3 5 1.7% 1 400 45
     | Show Table
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    The first four factors presented in Table 2 were used to study the effects of the catalyst on lignin decomposition. The first factor listed is the catalyst support type. Amorphous silica-alumina is a commercially available catalyst for hydrocracking of heavy oil fractions [25]. Although the density of Brønsted acid sites in silica-alumina is not as high as in zeolites, silica-alumina catalysts have been shown to be very efficient at breaking strong C-C bonds compared to zeolites and clay [26]. As discussed in the introduction, we postulate that their microporous structure will facilitate absorption and desorption of lignin and its primary decomposition products, which, as we postulated, increases production of the target liquid organic monomers while inhibiting catalyst fouling. This catalyst was compared to a γ-alumina catalyst with a pore size comparable to the amorphous silica-alumina. Lewis acid sites in γ-alumina catalysts have been shown to be suitable for pre-cracking of hydrocarbon macromolecules [22]. The next factor listed in Table 2 examined the Cu dopant concentration. We also varied the lignin concentration in the water solvent and the lignin-to-catalyst ratio (LCR). The LCR factor examined the effect of acidic-site densities on the product composition.

    The remaining factors tested reaction conditions by varying the stirring rate and the reaction time. Preliminary testing showed that at stirring rates below 320 rpm, mixing was inefficient and most of the lignin powder settled on the bottom of the vessel while at above 400 rpm a significant amount of char was generated due to the strong vortex that threw lignin powder out of the liquid phase. Although very short reaction times may result in incomplete degradation of lignin, long residence times may have negative effects such as re-polymerization and the formation of char and gaseous products. The factor values of 30 and 45 min were based on the time that passes after the vessel reaches the set temperature, ignoring initial heating time.


    2.3.4. Reaction temperature variation studies

    The effect of temperature on lignin degradation was examined in more detail using the best set of conditions from the initial screening study. The reaction conditions for this temperature study are summarized in Table 3. Each experiment was conducted in triplicate.

    Table 3. Conditions for the reaction temperature variation studies.
    Reaction temperature 300,320,350 ℃
    Lignin concentration in water 1.2 wt%
    Catalyst 5 wt% Cu in SiO2-Al2O3
    Stirring rate 400 rpm
    Reaction time 30 min
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    2.3.5. Characterization

    Liquid-liquid extraction (LLE) using dichloromethane (DCM) was used to remove liquid phase lignin decomposition products from the resulting aqueous phase following the procedure designed by Voeller et al. [29]. 50 μL of a recovery standard (4-chloroacetophenone) was added to 1.0 mL of a liquid sample to monitor the losses during the extraction. 1.0 mL of DCM was added and then the sample was vortexed for 1 minute. After separation of the DCM and water phases, the DCM layer was collected and transferred to a test tube. This process was repeated three times, resulting in 3 mL of DCM phase liquid. At the end, 75 μL of an internal standard (o-terphenyl) was added to this organic phase (DCM) sample and injected into the GC-MS for analysis.

    Analyses of lignin decomposition products were performed using a gas chromatography-mass spectrometer (GC-MS, HP 5890 gas chromatograph) equipped with an autosampler (HP 7673 injector). The analyses were performed in splitless mode with an injection volume of 1 μL. GC separation was performed using a 42 m long Agilent DB-5MS capillary column with 250 μm I.D. and 0.25 μm film thickness. Helium was used as a carrier gas at a constant flow rate of 1.2 mL/min. The GC column temperature program started at 50 ℃ for 1 min, followed by a 40 ℃/min gradient to 80 ℃, a 25 ℃/min gradient to 320 ℃, and a hold for 7 min. The MS was used in the full scan mode (m/z of 33–700 amu) with the transfer line temperature of 280 ℃. Quantification and identification of all samples were based on the corresponding standards.

    Thermogravimetric analysis (TGA) of selected reactor solid residues was carried out using a TA Instruments TGA-DSC Q-series (SDT-Q600). Thermal gravimetric curves were obtained under a dynamic atmosphere of argon at a constant flow of 100 mL/min. The temperature program was as follows: isothermal at room temperature for 5 minutes, ramp with a heating rate of 25 ℃ per minute, then isothermal for 5 minutes at 300,400,500,850 and 870 ℃.

    Scanning electron microscopy (SEM, Hitachi S-3400N equipped with high TOA ports for energy-dispersive spectroscopy [EDS], Japan) was employed to study the surface morphology of selected catalysts and reactor residues. All the samples were gold coated for 40 s.

    The XRD analysis of the doped catalysts was conducted using a Rigaku Smartlab 3 Kw instrument equipped with a D/teX detector using Cu Kα radiation (λ = 1.5302 ). The samples were scanned in a range of 2θ between 10 and 80°.


    3. Results and discussion


    3.1. Catalyst characterization

    XRD profiles of silica-alumina and γ-alumina are presented in Figures 2a and b, respectively. As can be seen, characteristic peaks of copper showed up in both silica-alumina and γ-alumina catalyst supports, which verifies the success of the doping protocol. SEM analysis was performed to further characterize the catalysts. Results of SEM and EDS analyses of 5 wt% and 10 wt% copper doped silica-alumina are shown in Figure 3. As can be seen, copper was well-dispersed on the surface of the silica-alumina catalyst and its characteristic peak was identified in the EDS profile.

    Figure 2. XRD patterns of calcined silica-alumina compared to Mo (blank) and completely undoped catalyst a) 5 wt% Cu on SiO2/Al2O3 and b) 10 wt% Cu on γ-alumina.
    Figure 3. SEM and EDS analysis of a) 5 wt% Cu in SiO2/Al2O3 and b) 10 wt% Cu in SiO2/Al2O3.

    3.2. Screening study results

    Table 4 summarizes the results obtained from GC-MS analysis of the liquid phase collected from the screening experiments. The identified compounds were lumped under five general categories: guaiacols, guaiacyl carbonyls, guaiacyl dimers, guaiacyl acids, and other compounds, which were mainly represented by syringol and homovanilyl alcohol. Individual chemical compositions are available in Pourjfar [30].

    Table 4. Concentration of compounds (wt%) in the liquid product phase classified by product type.
    Run Guaiacols Guaiacyl carbonyls Guaiacyl dimers Guaiacyl acids Other Total
    1 1.1 1.1 0.1 2.6 2.6 7.5
    2 0.6 1.2 0.0 2.6 3.0 7.3
    3 1.3 1.4 0.1 2.6 2.8 8.2
    4 0.9 1.0 0.1 1.7 1.9 5.5
    5 1.2 0.9 0.1 2.9 3.4 8.5
    6 1.6 1.2 0.3 2.6 2.4 7.9
    7 1.5 1.0 0.1 2.3 2.6 7.5
    8 2.1 1.6 0.2 3.0 3.3 10.2
    9 0.5 1.1 ND a 2.3 2.9 6.7
    10 0.6 0.8 ND 1.6 1.2 4.3
    11 1.0 1.2 0.1 2.5 2.3 7.1
    12 1.4 1.4 0.1 3.9 3.8 10.6
    a ND = not detected.
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    A statistical analysis of these results is summarized in Table 5. As can be seen, three factors: lignin concentration in water, stirring rate, and reaction time had no significant effect on the results. On the other hand, the Cu dopant concentration had a significant effect on almost all groups of products. The yield of guaiacols was higher at the lower, 5 wt% copper concentration. The only factor with a significant effect on the production of guaiacyl acids was dopant concentration while for the production of syringol and homovanilyl alcohol, a 1.5 lignin-to-catalyst ratio at the 5 wt% Cu concentration yielded the highest concentrations.

    Table 5. A summary of the significance of each factor discovered in the Plackett-Burman screening study.
    Catalyst support type Dopant used Lignin concentration in water LCR Stirring rate Dopant concentration Reaction time
    Guaiacols * + * - * - *
    Guaiacyl carbonyl * + * * * * *
    Guaiacyl dimers + - * * * - *
    Guaiacyl acids * * * * * - *
    Others * + * - * - *
    Total GC-elutable compounds * + * * * - *
    "+" indicates the significance of the factor at its high level, "-" indicates the significance of the factor at its low level, "*" indicates no effect; the levels are shown in Table 2.
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    These trends are consistent with the catalyst characterization, as the application of 5 wt% Cu led to the formation of fine particles whereas the application of 10% Cu resulted in coagulates, which may clog the pores of the catalyst support and limit the access of phenolic dimers to the active acid sites.

    For lignin degradation purposes, Cu doping increased the selectivity of the silica-alumina support toward monomeric compounds. The results also showed that 5 wt% Cu doped silica-alumina was the best option for formation of guaiacols and guaiacyl acids. Previous work indicates that guaiacols may be obtained from the degradation of phenolic dimers [31]. This suggests that the metal dopant only facilitates secondary reactions, since dimers should be more prevalent when the decomposition is less complete.

    The intrinsic activity of the catalyst supports was low due to the limited number of Brønsted acid sites, which may explain why the type of the catalyst support chosen was not as important as other investigated factors from the screening study results. However, in the case of guaiacyl dimers, the silica-alumina catalyst support was shown to have a significant effect. It is possible that the silica-alumina targets the remaining β-O-4 and other ether bonds in Kraft lignin but is less likely to break the stronger C-C bonds due to its low acidity, leading to the production of guaiacyl dimers. This assumption is corroborated by the observed greater concentration of guaiacols in the products from the silica-alumina catalyst support experiments compared to those obtained with γ-alumina catalyst support. As such, it appears that the differences between the two catalysts was primarily in the increased specificity of the silica-alumina catalyst for ether bonds. However, since ether bonds represent only a minor portion of Kraft lignin [1,2,3,4,5], overall lignin conversion into GC-able products was similar for the two catalyst types studied.


    3.3. Reaction temperature variation study results

    The effect of reaction temperature on degradation of lignin was examined in more detail by conducting experiments at three reaction temperatures using the best set of conditions from the initial screening study, as summarized in Table 3. Figure 4 shows the results obtained from GC-MS analysis of the extracted samples in DCM. The overall recovery of liquid phase products was bounded by the temperature region. By increasing the temperature, the concentration of guaiacols and phenol were increased while guaiacyl carbonyls decreased most likely due to dimer instability at higher temperatures. Less expected was the observation that guaiacyl acids as well as total GC elutable compounds showed a bell shaped profile with temperature increase with the maximum concentration at 320 ℃.

    Figure 4. The concentration of key groups of product compounds from the reaction temperature study, mass of product per mass of lignin in the original feedstock (wt%).

    Thermogravimetric and mass loss curves were obtained at different thermal steps as summarized in Figure 5 and Table 6. As can be seen, the total mass loss decreased with increasing reaction temperature. The weight loss at 25–200 ℃ can be attributed to monomeric compounds and physically adsorbed water while thermal decomposition of oligomers takes place at 600–900 ℃. Since catalytic decomposition of lignin at 350 ℃ yielded the lowest mass loss in TG analysis, lignin degradation was expected to be more efficient at that temperature. However, GC-MS analysis results showed that a reaction temperature of 320 ℃ yielded a similar if not higher concentration of low molecular weight compounds, see Figure 4. This suggests that at 350 ℃, a greater degree of re-polymerization occurs, which results in a higher yield of coke at the expense of gaseous product formation.

    Figure 5. Thermogravimetric curves of reactor residues from the reaction temperature study with 5 wt% Cu in SiO2/Al2O3 at 300,320 and 350 ℃.
    Table 6. The temperature profile of mass loss (wt%) obtained by TG analysis of the solid residues recovered from the reactor in the temperature variation study.
    Sample 25–200 ℃ 200–400 ℃ 400–600 ℃ 600–900 ℃
    Raw Lignin 6.3 28.7 19.2 8.8
    5%Cu in SiO2-Al2O3—300 ℃ 2.8 5.9 10.6 3.8
    5%Cu in SiO2-Al2O3—320 ℃ 2.5 5.4 9.0 4.0
    5%Cu in SiO2-Al2O3—350 ℃ 2.7 4.0 7.2 3.5
     | Show Table
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    This trend reaches its logical conclusion at 400 ℃ where no detectable mass loss occurs, i.e., virtually no gas phase products are produced (results not shown). This observation is unusual and specific to lignin because in general a greater gas phase product yield is expected at higher temperatures. Lignin's fairly unique propensity to polymerize is well known. However, it is still unusual that it appears to suppress the natural tendency of complex organic substances to form higher concentrations of lighter, gas phase compounds at higher temperatures.

    The results suggest that lower reaction temperatures (300 ℃) result in more unreacted lignin while higher temperatures (>350 ℃) lead to an increased formation of liquid phase products, although at the expense of increased char formation. However, the combined yield of monomer phenolic products was low (~5–7% as shown in Figure 4) and statistically independent of temperature and other operational parameters, although the yields of different chemicals varied with temperature. Consistent with the observed bell-shaped temperature profile of the total GC-able product yield, two trends appear to compete, one being the enhancement of decomposition reactions, and the other, presumably more prominent, being the acceleration of polymerization reactions.

    These conclusions were confirmed by SEM analyses of solid residues, which are presented in Figure 6. The morphology of the particles showed differences as the catalyst particles are covered with char. Corroborating this observation, the EDS analysis showed large peaks of elemental carbon in all samples. A comparison of particles obtained at different reaction temperatures shows a trend. At the lowest reaction temperature studied, 300 ℃, the char covered catalyst particles are rather porous and have a beehive structure. This observation is consistent with the observed higher yield of phenolic dimers at this temperature, as larger-size dimeric compounds can still access the active surface of the catalyst. Particles obtained at a higher reaction temperature, 320 ℃, are not as porous, yet the spherical shape of the catalyst particle is still visible. Char extensively covers the particles and no spherical structure is visible for samples from the 350 ℃ experiments.

    Figure 6. SEM and EDS analysis of solid residues collected from reactor at reaction temperatures of a) 300 ℃, b) 320 ℃, and c) 350 ℃.

    Combining the SEM observations with the results from the GC-MS analysis of the liquid phase products, we can conclude that even at the lowest reaction temperature, 320 ℃, the density of char around the silica-alumina catalyst particles is already so high that running the experiments at higher temperatures will not improve catalytic degradation since access to the active sites on the catalyst surface is extremely limited. Therefore, the maximum potential for a Cu doped silica-alumina catalyst can be obtained only at the lowest temperature above the threshold of catalyst activation, i.e., 320 ℃, which appears to be suboptimal for this catalyst type.


    4. Conclusions

    A series of experiments were conducted to explore the use of larger pore, metal doped catalysts to facilitate the decomposition of lignin into more valuable chemical intermediates. The screening study results showed that the dopant concentration had a significant effect on almost all groups of lignin degradation products. Slightly better, though statistically insignificant results were obtained using an amorphous silica-alumina catalyst support than a comparable γ-alumina. Within the parameter bounds of this study, lignin concentration in an aqueous solvent, stirring rate, and reaction time had no major effect on the liquid-phase products distribution.

    Studies to examine the effects of reaction temperature on decomposition showed that at 320 ℃ the formation of monomeric compounds was maximized while the formation of char was minimized. Based on these results, reaction at higher temperature appears to lead to re-polymerization. This effect appears to be significantly enhanced even by incremental increases in temperature, This re-polymerization decreases the monomeric compounds concentration and increases the possibility of char, i.e., cross-linked polymer products formation. Coke deposition appears to be an inherent problem of all catalysts consisting of an alumina-silica support matrix during lignin decomposition, not just zeolites.

    Decomposition results from this work were not appreciably better than those previously reported with smaller pore Si-Al catalysts, indicating that the postulate that larger pore catalysts may improve primary decomposition reaction rates may not be correct, apparently due to the overwhelming, unanticipated polymerization effect. The search for efficient catalysts for this process should thus focus on finding catalysts with a lower temperature threshold so that coke deposition is inhibited. Perhaps if such a catalyst is found, larger pore sizes may then improve performance.


    Acknowledgments

    We would like to acknowledge support from the National Science Foundation (NSF) via two ND EPSCoR programs: DakotaBioCon IIA-1330842 and CSMS IIA-1355466. Support for REU students involved in the research was provided through the NSF REU Chem: 1460825. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF or ND EPSCoR.

    The authors also acknowledge the contributions of Xiadong Hou and the University of North Dakota Institute for Energy Studies for assistance and resources used for SEM and XRD characterization work as well as Alena Kubátová, University of North Dakota Department of Chemistry for assistance and resources used for analytical characterization activities.


    Conflict of interest

    All authors declare no conflicts of interest in this paper.


    [1] UNFCCC (2015) Paris Agreement- FCCC/CP/2015/L.9/Rev.1. Available from: http://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf
    [2] UN Intergovernmental Panel on Climate Change (2014) The Fifth Assessment Report (AR5)- Geneva, Switzerland. https://www.ipcc.ch/pdf/assessment-report/ar5/syr/AR5_SYR_FINAL_SPM.pdf
    [3] Smith P, Davis SJ, Creutzig F, et al. (2015) Biophysical and economic limits to negative CO2 emissions. Nat Clim Chang 6: 42-50. doi: 10.1038/nclimate2870
    [4] Mbow C, Skole D, Dieng M, et al. (2012) Challenges and Prospects for REDD+ in Africa: Desk Review Of REDD+ Implementation in Africa. Copenhagen: GLP-IPO. Available from: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=7138D849AB9E3E0A99BEB03408B4D90D?doi=10.1.1.304.3163&rep=rep1&type=pdf
    [5] Mbow C, Smith P, Skole D, et al. (2014) Achieving mitigation and adaptation to climate change through sustainable agroforestry practices in Africa. Curr Opin Environ Sustain 6: 8-14. doi: 10.1016/j.cosust.2013.09.002
    [6] UN Department of Economic and Social Affairs (2015) World Population Prospects- The 2015 Revision, New York, USA. https://esa.un.org/unpd/wpp/publications/files/key_findings_wpp_2015.pdf
    [7] World Resource Institute (2013) Creating a Sustainable Food Future- A menu of solutions to sustainably feed more than 9 billion people by 2050, Washington DC, USA. Available from: http://www.wri.org/sites/default/files/wri13_report_4c_wrr_online.pdf
    [8] DFID (2010) Agenda 2010. The turning point on poverty. Background paper on gender. DFID, London. Quoted in OECD (2012). Poverty reduction and pro-poor growth: The role of empowerment.
    [9] Food and Agricultural Organization of the United Nations - FAO (2011) The State of food and agriculture. Women in agriculture- Closing the gender gap for development. Rome, Italy. Available from: http://www.fao.org/docrep/013/i2050e/i2050e.pdf
    [10] World Bank and ONE (2014) Levelling the Field: Improving Opportunities for Women Farmers in Africa, Washington DC, USA. http://documents.worldbank.org/curated/en/579161468007198488/Levelling-the-field-improving-opportunities-for-women-farmers-in-Africa
    [11] UN Women, World Bank, UNDP and UNEP (2015) The Cost of Gender Inequality in Agricultural Productivity in Malawi, Uganda and Tanzania, New York, USA. Available from: http://documents.worldbank.org/curated/en/847131467987832287/pdf/100234-WP-PUBLIC-Box393225B-The-Cost-of-the-Gender-Gap-in-Agricultural-Productivity-in-Malawi-Tanzania-and-Uganda.pdf
    [12] Aguilar A, Carranza E, Goldstein M, et al. (2015) Decomposition of gender differentials in agricultural productivity in Ethiopia. Agric Econ 46: 311-334. doi: 10.1111/agec.12167
    [13] Onesi G, Corral P, Goldstein M, et al. (2015) Explaining gender differentials in agricultural production in Nigeria. Agric Econ 46: 285-310. doi: 10.1111/agec.12166
    [14] Kilic T, Winters P, Carletto C (2015) Gender and agriculture in Sub-Saharan Africa: Introduction to the special issue. Agric Econ 46: 281-284. doi: 10.1111/agec.12165
    [15] Peterman A, Quisumbing A, Behrman J, et al. (2011) Understanding the complexities surrounding gender differences in agricultural productivity in Nigeria and Uganda. J Dev Stud 47: 1482-1509. doi: 10.1080/00220388.2010.536222
    [16] Doss CR (2015) Women and Agricultural Productivity: What does the evidence tell us? Economic Growth Center Discussion Paper No.1051, Yale University, New haven, USA. Available from: ssrn.com/abstract=2682663
    [17] Arora-Jonsson S (2011) Virtue and Vulnerability: discourses on women, gender and climate change. Glob Environ Chang 21: 744-751. doi: 10.1016/j.gloenvcha.2011.01.005
    [18] Jost C, Kyazze F, Neelormi S, et al. (2015) Understanding gender dimensions of agriculture and climate change in smallholder farming communities. Clim Dev 8: 133-144. doi: 10.1080/17565529.2015.1050978
    [19] Cramer L, Förch W, Mutie I, et al. (2016) Connecting Women, Connecting Men: How Communities and Organizations Interact to Strengthen Adaptive Capacity and Food Security in the Face of Climate Change. Gend Technol Dev J 20: 169-199. doi: 10.1177/0971852416639771
    [20] Murray U, Gebremedhin Z, Brychkova1 G, et al. (2016) Smallholder Farmers and Climate Smart Agriculture: Technology and Labor-productivity Constraints amongst Women Smallholders in Malawi. Gend Technol Dev J 20: 137-145. doi: 10.1177/0971852416640639
    [21] International Union for Conservation of Nature (2015) Gender in Mitigation Actions. Available from: https://portals.iucn.org/union/sites/union/files/doc/gender_in_mitigation_actions.pdf
    [22] UN Women (2015) Progress of the world's women 2015-2016. Transforming Economies, Realizing Rights. New York, USA. Available From: http://progress.unwomen.org/en/2015/pdf/UNW_progressreport.pdf
    [23] World Bank (2016) Women, Business and the Law 2016 - Washington DC, USA. Available from: http://wbl.worldbank.org/~/media/WBG/WBL/Documents/Reports/2016/Women-Business-and-the-Law-2016.pdf
    [24] Beuchelt TD, Badstue L (2013) Gender, nutrition-and climate-smart food production: Opportunities and trade-offs. Food Secur 5: 709-721. doi: 10.1007/s12571-013-0290-8
    [25] Quisumbing A, Meinzen-Dick R, Raney T, et al. (eds) (2014) Gender in Agriculture. Closing the Knowledge Gap, FAO and Springer. Available from: http://libcatalog.cimmyt.org/download/general/98958.pdf
    [26] World Bank, FAO, IFAD (2015) Gender in Climate-Smart Agriculture-Module 18 for the Gender in Agriculture Sourcebook, Washington DC, USA. Available at: http://documents.worldbank.org/curated/en/654451468190785156/pdf/99505-REVISED-Box393228B-PUBLIC-Gender-and-Climate-Smart-AG-WEB-3.pdf
    [27] Farnworth CR, Baudron F, Andersson J, et al. (2016) Gender and conservation agriculture in East and Southern Africa: towards a research agenda. Int J Agric Sustain 14: 142-165. doi: 10.1080/14735903.2015.1065602
    [28] McCarthy N, Brubaker J (2014) Climate-Smart Agriculture and Resource Tenure in Sub-Saharan Africa: a conceptual framework, FAO, Rome. Available at: http://www.fao.org/3/a-i3982e.pdf
    [29] OECD (2014) Social Institutions and Gender Index, Paris, France.
    [30] Manfre C, Rubin D, Allen A, et al. (2013) Reducing the Gender Gap in Agricultural Extension and Advisory Services: How to Find the Best Fit for Men and Women Farmers, USAID, Washington DC, USA. Available at: http://dev.meas.illinois.edu/wp-content/uploads/2015/04/Manfre-et-al-2013-Gender-and-Extension-MEAS-Discussion-Paper.pdf
    [31] World Bank, IFRI (2010) Gender and Governance in rural services: Insights from India, Ghana and Ethiopia, Washington DC, USA. Available from: http://siteresources.worldbank.org/INTARD/Resources/gender_and_gov_in_rural_services.pdf
    [32] Ferrant G, Pesando LM, Nowacka K (2014) Unpaid Care Work: The missing link in the analysis of gender gaps in labour outcomes OECD Development Centre, Paris. Available from: http://www.oecd.org/dev/development-gender/Unpaid_care_work.pdf
    [33] Day T, McKenna K, Bowlus A (2005) The Economic Costs of Violence against Women: An Evaluation of the Literature, United Nations, USA. Available at: http://www.un.org/womenwatch/daw/vaw/expert%20brief%20costs.pdf
    [34] World Bank (2015) Global Financial Index- Washington DC, USA. Available from: http://www.worldbank.org/en/programs/globalfindex
    [35] Carroll T, Stern A, Zook D, et al. (2012) Catalyzing Smallholder Agricultural Finance, Dalberg Global Development Advisors. Available from: http://dalberg.com/documents/Catalyzing_Smallholder_Ag_Finance.pdf
    [36] Childs S (2002) Concepts of Representation and the Passage of the Sex Discrimination (Election Candidates) Bill. J Legis Stud 8: 90-108.
    [37] Phillips A (1995) The Politics of Presence: The Political Representation of Gender, Ethnicity, and Race. Oxford: Oxford University Press.
    [38] Prakash D (2003) Rural Women, Food Security and Agricultural Cooperatives, Rural Development and Management Centre, New Delhi, India. Available from: http://www.uwcc.wisc.edu/info/intl/rur_women.pdf
    [39] African Development Bank (2015) Economic Empowerment of African Women through Equitable Participation in Agricultural Value Chains, Abidjan, Cote d'Ivoire. https://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/Economic_Empowerment_of_African_Women_through_Equitable_Participation_in___Agricultural_Value_Chains.pdf
    [40] Maliro DD (2013) Gender and Agriculture in Malawi- A Report on Gender Visibility in Structures of Farmers' Organizations: A Case of Farmers Union of Malawi and NASFAM. SACAU, Pretoria, South Africa.
    [41] Anderson J, Ahmed W (2015) Early Insights from Financial Diaries of Smallholder Households, CGAP Focus Note 102, Washington DC. USA. Available from: http://hdl.handle.net/10986/23498
    [42] International Finance Corporation (2011) Strengthening access to finance for women owned SMEs in developing countries. Washington DC, USA. Available from: http://www.ifc.org/wps/wcm/connect/a4774a004a3f66539f0f9f8969adcc27/G20_Women_Report.pdf?MOD=AJPERES
    [43] International Finance Corporation (2013) Small and medium enterprise finance: new findings, trends and G-20/Global partnership on financial inclusion progress. Washington DC, USA. Available from: http://www.ifc.org/wps/wcm/connect/16bca60040fa5161b6e3ff25d54dfab3/SME+Finance+report+8_29.pdf?MOD=AJPERES
    [44] UN Women (2012) Progress Report on Women's Access to Justice, In Pursuit of Justice, New York, USA. Available at http://www.unwomen.org/en/digital-library/publications/2011/7/progress-of-the-world-s-women-in-pursuit-of-justice#view
    [45] Rivers JPW (1982) Women and children last: an essay on sex discrimination in disasters, Disasters 6: 256-267.
    [46] Bradshaw S, Fordham M (2013) Women, girls and disasters, a review for DFID, UK. Available at https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/236656/women-girls-disasters.pdf
    [47] Hertel T (2013) Land, environment and climate-Contributing to the global public good. WIDER Working Paper, Finland. Available at: https://www.wider.unu.edu/sites/default/files/WP2013-107.pdf
    [48] UN Women (2016) Empowering women through a climate-resilient agriculture in Senegal, New York, USA. Available from: https://trainingcentre.unwomen.org/pluginfile.php/66830/mod_folder/content/0/Empowering%20women%20through%20a%20climate-resilient%20agriculture%20%28Senegal%29.pdf?forcedownload=1
    [49] UN Women (2016) Empowering women through a climate-resilient agriculture in DRC, New York, USA. Available from: https://trainingcentre.unwomen.org/pluginfile.php/66830/mod_folder/content/0/Democratic%20Republic%20of%20Congo%20Programme%20Phare%20-%20Autonomisation%20economique%20des%20femmes%20rurales%20par%20une%20agriculture%20resiliente%20aux%20changements%20climatiques.pdf?forcedownload=1
    [50] UN Women (2016) Empowering women through a climate-resilient agriculture in Malawi, New York, USA. Available from: https://trainingcentre.unwomen.org/pluginfile.php/66830/mod_folder/content/0/Women%20and%20Climate%20Resilient%20Agriculture%20flagship%20for%20Malawi%20October%202016.pdf?forcedownload=1
    [51] United Nations Global Compact (2012) Scaling up global food security and sustainable agriculture. Available from: http://www.unglobalcompact.org/docs/issues_doc/agriculture_and_food/Scaling_Up_Food_Ag.pdf
    [52] Food and Agricultural Organization of the United Nations-FAO (2009) The State of food and agriculture. Livestock in the balance, Rome, Italy. Available from: http://www.fao.org/docrep/012/i0680e/i0680e.pdf
    [53] Food and Agricultural Organization of the United Nations-FAO (2013) The State of food and agriculture. Food systems for better nutrition, Rome, Italy. Available from: http://www.fao.org/docrep/018/i3300e/i3300e.pdf
    [54] Food and Agricultural Organization of the United Nations-FAO (2013) Climate Smart Agriculture Sourcebook, Rome, Italy. Available from: http://www.fao.org/3/i3325e.pdf
    [55] Food and Agricultural Organization of the United Nations-FAO (2013) ICT Uses For Inclusive Agricultural Value Chains, Rome, Italy. http://www.fao.org/docrep/017/aq078e/aq078e.pdf
    [56] Global Environment Facility (2012) Private Sector Engagement in Climate Change Adaptation: Prepared by the GEF Secretariat in Collaboration with the International Finance Corporation, USA. https://www.thegef.org/sites/default/files/council-meeting-documents/Note_on_Private_Sector_4.pdf
    [57] Amado JC, Adams P (2013) Value Chain Climate Resilience-A guide to managing climate impacts in companies and communities, PREP. https://www.bsr.org/reports/PREP-Value-Chain-Climate-Resilience_copy.pdf
    [58] Brickell E, Elias P (2013) Great Expectations: Realizing social and environmental benefits from public-private partnerships in agricultural supply chains, ODI, UK. Available at: https://www.odi.org/sites/odi.org.uk/files/odi-assets/publications-opinion-files/8500.pdf
    [59] Glachant M (2013) Greening Global Value Chains: Innovation and the International Diffusion of Technologies and Knowledge, OECD Green Growth Papers, 2013-05, OECD Publishing, France.
    [60] Trabacchi C, Stadelmann M (2013) Making Adaptation a Private Sector Business: Insights from the Pilot Program for Climate Resilience in Nepal. Climate Policy Initiative, USA. Available at: http://climatepolicyinitiative.org/wp-content/uploads/2013/12/SGG-Case-Study-Pilot-Program-for-Climate-Resilience-in-Nepal.pdf
    [61] Naidoo T, Vaz K, Byaba L (2012) An introduction to adaptation in view of developing a private financing approach for adaptation related projects using the CTI PFAN model, CTI PFAN, USA.
    [62] Lemma A (2012) Green Infrastructure in Fragile States, EPS PEAKS, UK. Available at: https://assets.publishing.service.gov.uk/media/57a08a61e5274a27b2000585/Green_Infrastructure_in_Fragile_States.pdf
    [63] Tippmann R, Agoumi A, Perroy L, et al. (2013) Assessing Barriers and Solutions to Financing Adaptation Projects in Africa. IRDC, Canada. Available from: http://idl-bnc.idrc.ca/dspace/bitstream/10625/51972/1/IDL-51972.pdf
    [64] Glemarec Y, Rickerson W, Waissbein O (2013) Transforming On-Grid Renewable Energy Markets New York, United Nations Development Programme. Available at: http://www.undp.org/content/undp/en/home/librarypage/environment-energy/low_emission_climateresilientdevelopment/transforming-on-grid-renewable-energy-markets.html
    [65] Waissbein O, Glemarec Y, Bayarakar H, et al. (2013) Derisking Renewable Energy Investment: A Framework to Support Policymakers in Selecting Public Investment to Promote Renewable Investment in Developing Countries, New York, United Nations Development Programme. Available at: http://www.undp.org/content/dam/undp/library/Environment%20and%20Energy/Climate%20Strategies/Derisking%20Renewable%20Energy%20Investment%20-%20Full%20Report%20(May%202013)%20ENGLISH.pdf?download
    [66] Glemarec Y (2011) Catalyzing Climate Finance A Guidebook on Policy and Financing Options to Support Green, Low-Emission and Climate-Resilient Development New York, United Nations Development Programme. Available at: https://www.cbd.int/financial/climatechange/g-climateguidebook-undp.pdf
    [67] UN Women and UNIDO (2013) Sustainable energy for all: the gender dimensions. New York, USA. Available at: http://www.unido.org/fileadmin/user_media_upgrade/What_we_do/Topics/Women_and_Youth/GUIDANCENOTE_FINAL_WEB_s.pdf
    [68] McCarthy N, Lipper L, Branca G (2011) Climate-Smart Agriculture: Smallholder Adoption and Implications for Climate Change Adaptation and Mitigation, FAO, Rome.
    [69] UNESCO (2016) Gender Review: Creating Sustainable Futures for all, Global Education Monitoring Report, Paris. Available at: http://unesdoc.unesco.org/images/0024/002460/246045e.pdf
    [70] Notenbaert A, Pfeifer C, Silvestri S, et al. (2017) Targeting, out-scaling and prioritizing climate-smart interventions in agricultural systems: Lessons from applying a generic framework to the livestock sector in sub-Saharan Africa. Agric Syst 151: 153-162. doi: 10.1016/j.agsy.2016.05.017
    [71] Kingiri, Ann N (2013) A Review of Innovation Systems Framework as a Tool for Gendering Agricultural Innovations: Exploring Gender Learning and System Empowerment. J Agric Educ Ext 19: 521-541. doi: 10.1080/1389224X.2013.817346
    [72] Food and Agricultural Organization of the United Nations-FAO (2016) Gender Integration into Climate-Smart Agriculture- Tools for data collection and analysis for policy and research, Rome, Italy. http://www.fao.org/3/a-i5299e.pdf
    [73] Grafton RQ, Daugbjerg C, Qureshi ME (2015) Towards food security by 2050. Food Secur 7: 179-183. doi: 10.1007/s12571-015-0445-x
    [74] Annan K, Conway G, Dryden S (2015) African Farmers in the Digital Age: Overcoming isolation, speeding up change, and taking success to scale. A Special Issue of Foreign Affairs, Washington DC. Available at: https://files.foreignaffairs.com/pdf/sponsored-anthology/2016/african_farmers_in_the_digital_age_final.pdf
    [75] Vodafone/Accenture Sustainability Services (2015) Connected Farming in India-How mobile can support farmers' livelihoods, Vodafone Foundation, Newbury, UK. Available at: https://www.vodafone.com/content/dam/sustainability/2015/pdf/connected-farmers.pdf
    [76] Digital Green (2015) Annual Report 2014-2015, accessed at https://www.digitalgreen.org/media/docs/annual_reports/Annual-Report14-15.pdf
    [77] Glemarec Y, Bardoux P, Roy T (2015) The Role Of Policy-Driven Institutions in Developing National Financial Systems for Long-Term Growth- A paper from the Inquiry into the design of a sustainable financial system, UNEP Geneva. Available at: https://www.researchgate.net/publication/309487925_The_Role_of_Policy-Driven_Institutions_in_Developing_National_Financial_Systems_for_Long-Term_Growth
    [78] OECD (2014) Women in Business 2014: Accelerating entrepreneurship in the Middle East and North Africa Region. Available at: http://www.keepeek.com/Digital-Asset-Management/oecd/development/women-in-business-2014_9789264213944-en#page2
    [79] UNEP (2011) Adapting for a Green Economy: Companies, Communities and Climate Change, A Caring for the Climate Report, USA. Available at: http://www.wri.org/sites/default/files/pdf/adapting_for_a_green_economy.pdf
    [80] Valikai K. (2013) Why bringing women-owned businesses into the supply chain makes business sense. accessed at https://www.devex.com/news/why-bringing-women-owned-business-into-the-supply-chain-makes-business-sense-82015
    [81] Narain U, Margulis S, Essam T, et. al. (2011) Estimating the costs of adaptation to climate change. Clim Policy 11: 1001-1019. doi: 10.1080/14693062.2011.582387
    [82] Sam, K. 2014. Facilitator's Guide to Participatory Decision-Making, Third Edition, Published by Jossey-Bass, San Francisco, USA.
    [83] Mayoux, L, and G. Mackie. 2009. Making the strongest links: A practical guide to mainstreaming gender analysis in value chain development. International Labour Office, Addis Ababa. http://www.ilo.org/wcmsp5/groups/public/@ed_emp/@emp_ent/documents/instructionalmaterial/wcms_106538.pdf
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