Plant-Based Sustainable Development—The Expansion and Anatomy of the Medicinal Plant Secondary Processing Sector in Nepal
Abstract
:1. Introduction
2. Materials and Methods
2.1. Terminology and Definitions
2.2. Study Area
2.3. Analytical Framework
2.4. Data Collection and Analysis
3. Results
3.1. Factors Promoting and Hindering the Establishing and Operation of the Medicinal Plant Secondary Processing Sector
3.2. Basic Characteristics of Medicinal Plant Secondary Processing Enterprises
3.3. Quantifying the Volume and Value of the Annual Demand for Raw Materials
3.4. Quantifying the Volume and Value of the Annual Production of End Products
4. Discussion
4.1. The Emergence of the Nepalese Medicinal Plant Secondary Processing Sector
- Traditional medicine systems are increasingly commercialised, including mass production and marketing, and hence more widely available to consumers. While the change in Tibet took its point of departure from legislative requirements [20], the change in Nepal is purely demand-driven, indicating several pathways towards industrialisation and growth in traditional medicine systems.
4.2. The Economic Importance of the Nepalese Medicinal Plant Secondary Processing Sector
4.3. The Potential of the Nepalese Medicinal Plant Secondary Processing Sector to Contribute to the Bioeconomy
- How can Nepal transform from being a supplier of raw materials and producer of lower-value domestic consumer products to integrating into the global economy as an exporter of higher-value products? This transformation requires solutions to the obstacles identified above: export barriers, technology and service barriers, labour challenges, socio-economic and political instability, and the cumbersome and inefficient bureaucracy. Many of these obstacles are also faced by other natural product processing enterprises elsewhere, e.g., non-timber forest product-processing small enterprises in Africa struggle with developing upgrading and becoming part of traceability schemes [18]. While instability is a generic issue cutting across all sectors, as is the general difficulty of doing business (e.g., Nepal ranks as 135 out of 190 countries in terms of the ease of starting a business, [69]), the other challenges can, at least in theory, be addressed through initiatives aimed at the medicinal plant production network. Rather than trying to outguess the markets, the emphasis should be on establishing generic support functions and interventions that can then be accessed by a variety of enterprises. Paramount to accessing export markets is meeting established standards, such as international standards for phytosanitary measures and compliance with WHO-GMP standards in the case of traditional medicine products. This could be supported through funding to establish accredited laboratories and support for achieving certifications. This could have positive knock-on effects, e.g., such infrastructure could induce enterprise investment in improved technology that would increase competitiveness, and storage facilities that would allow more efficient trade throughout the year [18,19]. Labour shortage is common throughout Nepal, e.g., almost half of all households have at least one family member working abroad or a returnee [56] and important high-altitude medicinal plant production areas are being depopulated [70]. Attracting labour into medicinal plant secondary processing enterprises seems presently to be a matter of salaries; more competitive export-oriented enterprises would be better positioned to attract both skilled and unskilled labour. Cooperation between processing enterprises through associations and cooperatives could improve the sharing of skills and knowledge and increase bargaining power, e.g., with traders and the government [19,71]. The inefficient bureaucracy is not an issue that is easily addressed; recommendations to deal with the associated challenges have been made in a number of policies (that can be read as a long string of well-intentioned interventions), including the Herbs and Non-Timber Forest Product Development Policy from 2004. Rather than repeat past ineffective recommendations, there is a need to understand the political ecology of the medicinal plant production network in Nepal, to arrive at feasible solutions (at both national and provincial levels). Work has progressed on this in the wider forest sector [72,73] and forms a solid starting point for medicinal plant related progress. The importance of a supportive institutional framework is general to the development of competitive natural product enterprises regardless of location [16,19]. This would also serve to prevent repeats of the 2018 jatamansi trade ban and to increase the competitiveness of the sector, e.g., through less rent-seeking and clearer legislation on who can tax medicinal plant trade and processing. To provide a common agreement on goals and a consolidated effort to implement interventions, a theory of change should be developed.
- How can supplies be sustained in the face of increasing demands (whether to support ongoing raw material export or the development of the domestic industry)? Maintaining or developing an abundant resource base is essential for natural product processing industries [16,18]. Even if there is a lack of studies documenting unsustainable harvests [12]—such studies are resource consuming—there is widespread concern that a number of species may currently be overharvested (e.g., Paris polyphylla Sm., Nardostachys jatamansi (D. Don) DC., Neopicrorhiza scrophulariiflora (Pennell) D. Y. Hong, and Zanthoxylum armatum DC.) [4,44,58,74,75]. Given the currently available funding for medicinal plant-related research, there is no way to establish species-level sustainable harvest estimates for the 300 species in trade [26]. However, combining existing information on trade and vulnerability will allow the short-listing of species to focus on, e.g., in [27] it was shown that the medicinal plant trade focuses on few species, in both volume and value terms, while in [26] there is a recent conservation assessment. In addition to estimating species-level sustainable harvest estimates for highly traded and vulnerable species, it is important to improve our understanding of the political ecology of the bioeconomy of which the medicinal plant sector is a part. Studies from community forestry indicate that existing official harvest quotas, including those for medicinal plants from district level five-year plans, should be treated with scepticism [72,73] as they serve to satisfy bureaucracy rather than ensure sustainable harvests. Further understanding of the political ecology would reinforce sector understanding and thus underpin the formulation of feasible public policy interventions to address the identified obstacles to developing sustainable secondary medicinal plant processing in Nepal.
- Can commercial medicinal plants support a transition to the bioeconomy? Greenhouse gasses affect the earth’s climate [76] and actions are required to develop affordable and efficient transition pathways to low-carbon economies [65]. Ways to decarbonise include reducing the amount of CO2 returned to the atmosphere through the enhanced use of wood and other plant products in materials. This has led to a biotechnological dominance in the young research field of bioeconomy, with most published studies focused on the EU [45,77]. This dominant biotechnological approach is decoupled from sustainability concerns [45] and its emphasis on natural science, biotechnology, and patents makes it less relevant to low-income countries. There is a need to develop a bioeconomy of renewable resources in low-income countries. While this is beyond the scope of this paper, the presented case provides a rich starting point for providing input to such a school of thought—there is a huge and growing trade, ample opportunities for expanding processing (and reducing the export of raw materials), and a specific list of obstacles to be addressed from a bioeconomic starting point.
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Stratum/Employees | Permanent Employees (no.) | Temporary Employees (no.) |
---|---|---|
Large enterprises | ||
average ± SD | 24.9 ± 16.8 | 6.1 ± 7.7 |
generalisation | 248.8 | 61.3 |
Small enterprises—Kathmandu Valley | ||
average ± SD | 5.1 ± 4.2 | 9.3 ± 10.1 |
generalisation | 468.3 | 845.6 |
Small enterprises—other districts | ||
average ± SD | 3.1 ± 7.5 | 3.0 ± 7.0 |
generalisation | 413.6 | 400.4 |
Totals | 1130.7 | 1307.3 |
Appendix B
Raw Materials Purchased from1 (%) | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Common Trade Name 2 | Species Scientific Name | Volume Purchased (kg) | Estimated Purchased Volume at National Level (kg) | % Purchased in Nepal | Average Price/kg (NPR) | Average Price Standard Deviation | Estimated Accumulated Value at National Level (USD) | Collec- Tors | Domesti-cators | Local Traders | Sub-local Permanent Traders | Local Specialist Traders | Local Generalist Traders | Central Whole-salers | Regional Whole- salers | Own Produc- tion |
Jatamansi | Nardostachys jatamansi | 168,318 | 353,803 | 100.0 | 3844.0 | 11,403.3 | 2,151,574 | 21.2 | 0.0 | 0.0 | 0.0 | 5.8 | 6.2 | 66.9 | 0.0 | 0.0 |
Timur | Zanthoxylum armatum | 143,297 | 301,209 | 100.0 | 220.7 | 82.7 | 267,544 | 6.0 | 13.1 | 0.0 | 0.0 | 0.0 | 9.5 | 61.9 | 0.0 | 9.5 |
Sugandhawal (samayo) | Valeriana jatamansi | 64,478 | 135,532 | 100.0 | 220.9 | 87.9 | 240,933 | 23.5 | 0.0 | 0.0 | 0.0 | 5.9 | 15.3 | 55.3 | 0.0 | 0.0 |
Silajeet | A rock exudate | 6797 | 14,287 | 100.0 | 1423.1 | 1508.8 | 194,941 | 0.0 | 0.0 | 12.5 | 0.0 | 0.0 | 0.0 | 87.5 | 0.0 | 0.0 |
Sunpati | Rhododendron anthopogon | 161,410 | 339,282 | 100.0 | 32.5 | 40.3 | 120,775 | 58.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 41.7 | 0.0 | 0.0 |
Sugandhakokila (sugandhkokila) | Cinnamomum glaucescens | 48,000 | 100,896 | 100.0 | 93.3 | 5.8 | 96,528 | 16.7 | 16.7 | 0.0 | 0.0 | 0.0 | 33.3 | 33.3 | 0.0 | 0.0 |
Kutki (katuki) | Neopicrorhiza scrophulariiflora | 2613 | 5493 | 100.0 | 1389.1 | 227.8 | 80,370 | 7.7 | 0.0 | 0.0 | 0.0 | 0.0 | 7.7 | 84.6 | 0.0 | 0.0 |
Amala | Phyllanthus emblica | 56,185 | 118,100 | 98.4 | 68.1 | 27.1 | 78,270 | 13.0 | 4.2 | 0.0 | 1.9 | 1.6 | 4.1 | 62.7 | 0.6 | 11.8 |
Kurilo (satawari) | Asparagus spp. | 9957 | 20,930 | 100.0 | 254.3 | 65.9 | 58,587 | 8.2 | 0.9 | 0.0 | 4.5 | 0.0 | 0.0 | 72.7 | 0.0 | 13.6 |
Dhupi (kalo) | Juniperus indica | 311,267 | 654,280 | 100.0 | 251.9 | 866.5 | 54,122 | 43.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 56.3 | 0.0 | 0.0 |
Bojho (bhojo) | Acorus calamus | 47,420 | 99,676 | 100.0 | 84.0 | 30.8 | 52,485 | 10.0 | 10.0 | 0.0 | 0.0 | 5.0 | 0.0 | 65.0 | 0.0 | 10.0 |
Pipla | Piper longum | 6044 | 12,704 | 100.0 | 520.8 | 427.0 | 50,227 | 5.0 | 0.0 | 0.0 | 5.0 | 0.0 | 15.0 | 75.0 | 0.0 | 0.0 |
Other | - | 11,395 | 23,952 | 100.0 | 328.3 | 575.5 | 50,080 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16.7 | 83.3 | 0.0 | 0.0 |
Harro | Terminalia chebula | 36,409 | 76,531 | 94.8 | 58.8 | 21.2 | 49,164 | 19.9 | 2.7 | 0.0 | 0.0 | 2.3 | 7.4 | 57.8 | 0.6 | 9.3 |
Dhasingre (machhino) | Gaultheria fragrantissima | 472,606 | 993,414 | 100.0 | 403.8 | 1198.6 | 48,340 | 72.7 | 0.0 | 9.1 | 0.0 | 0.0 | 0.0 | 18.2 | 0.0 | 0.0 |
Chiraito (tite) | Swertia chirayita | 3456 | 7264 | 100.0 | 492.1 | 95.7 | 38,328 | 5.6 | 0.0 | 0.0 | 0.0 | 0.0 | 5.6 | 88.9 | 0.0 | 0.0 |
Barro | Terminalia bellirica | 32,443 | 68,195 | 95.2 | 50.2 | 18.1 | 37,506 | 11.9 | 5.0 | 0.0 | 0.0 | 2.2 | 7.1 | 57.5 | 0.9 | 15.5 |
Chiuri | Diploknema butyracea | 5670 | 11,918 | 100.0 | 281.5 | 50.1 | 34,901 | 0.0 | 7.7 | 7.7 | 0.0 | 0.0 | 0.0 | 84.6 | 0.0 | 0.0 |
Satuwa (seto) | Paris polyphylla | 200 | 420 | 100.0 | 5900.0 | 1140.2 | 24,346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Titepati | Artemisa spp. | 80,100 | 168,369 | 100.0 | 16.4 | 24.4 | 21,464 | 70.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | 0.0 | 0.0 |
Nirmasi (nirmansi) | Delphinium denudatum | 121 | 254 | 100.0 | 5675.0 | 236.3 | 14,386 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Dalchini | Cinnamomum tamala | 6395 | 13,442 | 100.0 | 100.0 | 38.6 | 13,237 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.3 | 87.5 | 0.0 | 4.2 |
Tejpat | Cinnamomum tamala | 15,131 | 31,805 | 100.0 | 60.2 | 16.4 | 12,264 | 8.2 | 5.5 | 0.0 | 0.0 | 0.0 | 4.5 | 77.3 | 0.0 | 4.5 |
Majitho | Rubia manjith | 3502 | 7361 | 100.0 | 121.0 | 52.6 | 10,450 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Kaulo | Machilus spp. | 5600 | 11,771 | 100.0 | 77.0 | 21.7 | 8387 | 5.0 | 5.0 | 0.0 | 0.0 | 0.0 | 10.0 | 80.0 | 0.0 | 0.0 |
Rittha | Sapindus mukorossi | 14,339 | 30,140 | 100.0 | 28.3 | 7.5 | 7862 | 8.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 91.7 | 0.0 | 0.0 |
Gurjo (guduchi) | Tinospora spp. | 8396 | 17,648 | 100.0 | 31.7 | 18.5 | 5760 | 16.7 | 0.0 | 0.0 | 0.0 | 8.3 | 0.0 | 33.3 | 0.0 | 41.7 |
Kauso | Mucuna pruriens | 650 | 1366 | 33.0 | 400.0 | - | 5577 | 25.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 50.0 | 0.0 |
Rudraksha (rudrakshya) | Elaeocarpus angustifolius | 141 | 296 | 100.0 | 1500.0 | - | 4536 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Sarpagandha | Rauvolfia serpentina | 965 | 2028 | 100.0 | 766.7 | 1068.1 | 3699 | 33.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 33.3 | 0.0 | 33.3 |
Seto musli | Chlorophytum spp. | 75 | 158 | 100.0 | 1500.0 | - | 2414 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Sikakai | Senegalia rugata | 1170 | 2459 | 100.0 | 80.0 | 75.1 | 1790 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Chabo | Piper chaba | 284 | 597 | 100.0 | 246.7 | 219.4 | 1546 | 33.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 66.7 | 0.0 | 0.0 |
Pakhanved | Bergenia spp. | 840 | 1766 | 92.0 | 58.5 | 23.3 | 1322 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 70.0 | 0.0 | 30.0 |
Chutro | Berberis spp. | 1351 | 2840 | 100.0 | 32.0 | 13.6 | 1186 | 14.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 85.7 | 0.0 | 0.0 |
Jiwanti | Dendrobium spp. | 35 | 74 | 100.0 | 1400.0 | - | 1050 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Bel | Aegle marmelos | 250 | 525 | 100.0 | 120.0 | - | 644 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
Guchi chyau | Morchella spp. | 2 | 4 | 100.0 | 12,000.0 | - | 514 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Rato chyau | Laetiporus sulphureus | 20,000 | 42,040 | 100.0 | 1.0 | - | 428 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
Nisodh | Operculina turpethum | 40 | 84 | 100.0 | 480.0 | - | 411 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 |
Ghodtapre (brahmi) | Centella asiatica | 100 | 210 | 100.0 | 150.0 | - | 321 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Padamchal roots | Rheum spp. | 110 | 231 | 100.0 | 117.0 | 46.6 | 283 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Attis | Delphinium himalayae | 100 | 210 | 100.0 | 1200.0 | - | 257 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Arjun | Terminalia arjuna | 40 | 84 | 100.0 | 260.0 | - | 224 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 |
Kukurdyane | Smilax spp. | 15 | 32 | 100.0 | 550.0 | - | 178 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 |
Tulsi | Ocimum tenuiflorum | 150 | 315 | 100.0 | 40.5 | - | 174 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 50.0 | 0.0 | 50.0 |
Aloe vera | Aloe vera | 700 | 1471 | 100.0 | 10.0 | - | 149 | 95.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Jamuno (jamun beej) | Syzygium cumini | 100 | 210 | 100.0 | 35.0 | - | 75 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Bhringiraj (bhringaraj) | Eclipta prostrata | 100 | 210 | 100.0 | 25.0 | - | 53 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Panchaaule | Dactylorhiza hatagirea | 33 | 69 | 36.0 | 36.0 | - | 26 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Vyakur | Dioscorea deltoidea | 25 | 53 | 100.0 | 35.0 | - | 18 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Asuro (ashuro) | Justicia adhatoda | 63 | 132 | 100.0 | 1.0 | - | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Yarsagumba (yartsagunbu) | Ophiocordyceps sinensis | 8 | 17 | 100.0 | 5.7 | 8.1 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Tope jhar | 3 | 6 | 100.0 | 0.0 | - | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | |
Thulo begar | Astilbe rivularis | 20 | 42 | 100.0 | 0.0 | - | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
Sikari lahara | Periploca calophylla | 20 | 42 | 100.0 | 0.0 | - | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
Kukhurekath | 15 | 32 | 100.0 | 0.0 | - | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | |
Chini lahara (chini jhar) | Scoparia dulcis | 3 | 6 | 100.0 | 0.0 | - | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
Raw materials’ subtotals: | 1,748,957 | 3,676,292 | 3,849,707 | |||||||||||||
Timur oil | Zanthoxylum armatum | 146 | 307 | 100.0 | 29,000.0 | - | 90,824 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Jatamansi oil | Nardostachys jatamansi | 30 | 63 | 100.0 | 46,500.0 | - | 30,246 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Dhasingre oil | Gaultheria fragrantissima | 400 | 841 | 100.0 | 2000.0 | - | 17,160 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Tejpat oil | Cinnamomum tamala | 90 | 189 | 100.0 | 5720.0 | - | 11,043 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Juniper oil | Juniperus indica | 70 | 147 | 100.0 | 4500.0 | - | 6757 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Sugandahkokila oil | Cinnamomum glaucescens | 100 | 210 | 100.0 | 3000.0 | - | 6434 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Sunpati oil | Rhododendron anthopogon | 100 | 210 | 100.0 | 2200.0 | - | 4718 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Dhupi oil | Juniperus spp. | 33 | 69 | 100.0 | 6500.0 | - | 4602 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Jatamansi marc | Nardostachys jatamansi | 250 | 525 | 100.0 | 275.0 | - | 1395 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 0.0 |
Intermediate products’ subtotals: | 1219 | 2562 | 173,179 | |||||||||||||
Total volume purchased (kg) | Total estimated purchased volume at national level (kg) | Average % purchased in Nepal | Total estimated accumulated value at national level (USD) | Collec-tors | Domesti-cators | Local traders | Sub-local permanent traders | Local specialist traders | Local generalist traders | Central whole-salers | Regional whole-salers | Own produc-tion | ||||
1,750,176 | 3,678,854 | 97.8 | 4,022,886 | 16.9 | 1.7 | 0.4 | 0.2 | 9.4 | 6.7 | 50.0 | 0.8 | 13.9 |
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Stratum | Subpopulation 1 | Sample | |
---|---|---|---|
Raw Materials | End Products 2 | ||
Large enterprises | 10 | 8 | 5 |
Small enterprises—Kathmandu Valley | 91 | 41 | 4 |
Small enterprises—other districts | 132 | 30 | 11 |
Totals | 233 | 79 | 20 3 |
Enabling Factors | Mean ± SD 1 | Median | Mode | Min | Max |
---|---|---|---|---|---|
External: Macroeconomics and Markets | |||||
Domestic demand | 4.23 ± 1.24 | 5 | 5 | 1 | 5 |
Demand from China | 2.54 ± 1.56 | 2 | 1 | 1 | 5 |
Demand from India | 2.23 ± 1.64 | 1 | 1 | 1 | 5 |
Demand from the rest of the world | 3.15 ± 1.86 | 4 | 5 | 1 | 5 |
Prices of raw materials | 4.15 ± 0.99 | 4 | 5 | 2 | 5 |
Competitiveness with other companies | 3.31 ± 1.32 | 3 | 3 | 1 | 5 |
Presence of monopolies/oligopolies | 2.69 ± 1.44 | 3 | 3 | 1 | 5 |
Availability of new technologies | 4.62 ± 0.96 | 5 | 5 | 2 | 5 |
Variations of interest rate | 3.62 ± 1.61 | 4 | 5 | 1 | 5 |
China import regulations | 2.54 ± 1.81 | 1 | 1 | 1 | 5 |
India import regulations | 2.69 ± 1.75 | 3 | 1 | 1 | 5 |
Rest of the world import regulations | 3.15 ± 1.72 | 3 | 5 | 1 | 5 |
Import regulations in Nepal | 3.77 ± 1.24 | 4 | 5 | 2 | 5 |
Availability of skilled labour | 4.62 ± 0.77 | 5 | 5 | 3 | 5 |
Cost of labour | 4.31 ± 0.75 | 4 | 5 | 3 | 5 |
Improvement in infrastructure | 4.46 ± 0.88 | 5 | 5 | 3 | 5 |
Socio-economic stability | 4.54 ± 0.66 | 5 | 5 | 3 | 5 |
External: Regulatory Framework | |||||
Regulations and requirements | 4.38 ± 1.33 | 5 | 5 | 1 | 5 |
Standards and certifications | 4.23 ± 1.01 | 5 | 5 | 2 | 5 |
Governmental taxes | 3.23 ± 1.59 | 3 | 5 | 1 | 5 |
Governmental subsidies | 3.92 ± 1.50 | 5 | 5 | 1 | 5 |
Rent-seeking behaviour (12) 2 | 3.83 ± 1.34 | 4 | 5 | 2 | 5 |
Bureaucratic delays | 4.00 ± 1.22 | 4 | 5 | 1 | 5 |
Restrictions on specific plants | 3.85 ± 1.41 | 4 | 4 | 1 | 5 |
Internal: Financial Capital | |||||
Access to capital and credit | 3.92 ± 1.44 | 5 | 5 | 1 | 5 |
Access to insurance | 4.00 ± 1.29 | 4 | 5 | 1 | 5 |
Internal: Business Management Capacities | |||||
Marketing skills | 4.54 ± 0.66 | 5 | 5 | 3 | 5 |
Decentralised management | 2.38 ± 1.76 | 1 | 1 | 1 | 5 |
Role of auditing | 4.31 ± 1.49 | 5 | 5 | 1 | 5 |
Internal: Clustering / Collaboration with other companies | |||||
Importance of being a member of producers’ organisations (11) | 4.36 ± 1.03 | 5 | 5 | 2 | 5 |
Importance of sharing knowledge and good practices (10) | 3.90 ± 1.37 | 4 | 4 | 1 | 5 |
Importance of sharing production costs (2) | 4.67 ± 0.58 | 5 | 5 | 4 | 5 |
A. Enterprise Characteristics | Estimate |
Ownership | |
Privately owned | 86.1% |
State owned | 8.9% |
Community forest user groups | 2.5% |
Multi-purpose cooperative | 2.5% |
Permanent employees (no., mean ± SD, min–max) | 6.4 ± 9.8 (0–50) |
Temporary employees (no., mean ± SD, min–max) | 6.6 ± 9.2 (0–50) |
Mode of operation | |
Continuous | 44.3% |
Seasonal | 55.7% |
Profitability | |
Profit | 70.9% |
No answer | 16.5% |
Loss | 8.9% |
Breaking even | 3.8% |
B. CEO Characteristics | Estimate |
Gender (male, female) | 93.7%, 6.3% |
Age (yrs, mean ± SD, min–max) | 46.4 ± 11.0 (27–78) |
Age distribution (yrs) | |
≤30 | 3.8% |
31–40 | 29.1% |
41–50 | 34.2% |
>50 | 32.9% |
Experience (yrs, mean ± SD, min–max) | 11.8 ± 7.6 (1–36) |
Experience distribution (yrs) | |
≤2 | 3.8% |
3–5 | 16.5% |
6–10 | 30.0% |
>10 | 41.8% |
Education | |
Above high school | 72.2% |
School Leaving Certificate and equivalent | 15.2% |
Lower secondary or primary | 7.6% |
Non-formal education, no answer | 5.1% |
Castes | |
Brahman, Chhetri, Newar (higher) | 77.2% |
Sanyasi, Gurung, Muslim, Tharu, Limbu, Magar, Marwadi, Rai, Sherpa, Sonar, Sudhi, Thakuri (lower) | 22.8% |
Purchased Medicinal Plants | End Products | |||||||
---|---|---|---|---|---|---|---|---|
Volume (kg) | Volume (%) | Value (USD) | Value (%) | Volume (kg) | Volume (%) | Value (USD) | Value (%) | |
Large enterprises | 863,571 | 23.5 | 1,258,268 | 31.3 | 70,328 | 14.2 | 1,146,635 | 10.2 |
Small enterprises | ||||||||
Kathmandu Valley | 1,818,067 | 49.4 | 884,457 | 22.0 | 336,973 | 68.2 | 4,518,476 | 40.2 |
Other districts | 997,216 | 27.1 | 1,880,161 | 46.7 | 86,868 | 17.6 | 5,581,175 | 49.6 |
Total | 3,678,854 | 100.0 | 4,022,886 | 100.0 | 494,169 | 100.0 | 11,246,286 | 100.0 |
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Caporale, F.; Mateo-Martín, J.; Usman, M.F.; Smith-Hall, C. Plant-Based Sustainable Development—The Expansion and Anatomy of the Medicinal Plant Secondary Processing Sector in Nepal. Sustainability 2020, 12, 5575. https://doi.org/10.3390/su12145575
Caporale F, Mateo-Martín J, Usman MF, Smith-Hall C. Plant-Based Sustainable Development—The Expansion and Anatomy of the Medicinal Plant Secondary Processing Sector in Nepal. Sustainability. 2020; 12(14):5575. https://doi.org/10.3390/su12145575
Chicago/Turabian StyleCaporale, Filippo, Jimena Mateo-Martín, Muhammad Faizan Usman, and Carsten Smith-Hall. 2020. "Plant-Based Sustainable Development—The Expansion and Anatomy of the Medicinal Plant Secondary Processing Sector in Nepal" Sustainability 12, no. 14: 5575. https://doi.org/10.3390/su12145575
APA StyleCaporale, F., Mateo-Martín, J., Usman, M. F., & Smith-Hall, C. (2020). Plant-Based Sustainable Development—The Expansion and Anatomy of the Medicinal Plant Secondary Processing Sector in Nepal. Sustainability, 12(14), 5575. https://doi.org/10.3390/su12145575