A South African green entrepreneurship model utilising a system dynamics approach

Abstract

Purpose and orientation: The green economy in South Africa is perceived as a priority, as there is a need to save the planet, sustain resources for future generations, and boost the economy. Green entrepreneurship, environmental psychology and industrial and organisational psychology through the lens of system dynamics have been identified as solutions to transition into the green economy. Methodology: The methodology used in this study was a system dynamic approach using data readily available online with a focus on quantitative methods. The focus was on the strategic level variables, which ultimately inform policy formulation. The data collection procedure followed the National Development Plan Agenda 2030, focusing on crucial prioritised green areas to aid the transition to a green economy. The green thematic areas aided the researcher in refining the criteria to enterprises within the identified key prioritised areas. During the analysis, the stocks, flows, dynamic variable, and causal loop were formulated using the Euler mathematical equation with support from the Vensim PLE for academic purposes modelling software. Results: Some of the study's results after the simulation – green economy adoption rate, green entrepreneurship adoption rate, total early-stage entrepreneurial activity, and entrepreneurial mindset – are variables that can be used to create a green entrepreneurship ecosystem in South Africa. If these variables can be implemented, it will yield more improvement and adoption. The relationship between SA's green business, the economy and contributing factors to the green market are simulated and proven to have a positive relationship. Contribution, recommendations and conclusion: The study contributes to the body of knowledge by demonstrating how the system dynamics approach can be integrated into green entrepreneurship and psychology, specifically industrial and organisational psychology, to improve the adoption of the green economy in South Africa. The reinforcing causal loop simulated in the current study indicated that this industry would grow only if these variables were improved. The current study further contributes to a formulated green entrepreneurship policy.

Maikaelelo le tshomarelo: Ikonomi e e tala mo Aforika Borwa e tsewa e le selo sa botlhokwa, ka gonne go na le tlhokego ya go boloka lefatshe, go tshegetsa metswedi ya dikokomana tsa isago, le go godisa ikonomi. Kgwebo e e tala, psychology ya tikologo le ya madirelo le ya organisational psychology ka lenss tsa dynamics tsa tsamaiso di lemogilwe e le tharabololo ya phetogo mo ikonoming e e tala. Thekeniki: Mokgwa o o dirisiwang ka go dirisa maranyane a a dirisiwang mo maranyaneng a a farologaneng a a dirisiwang mo internet. Mo go tse dingwe, go na le maemo a a farologaneng a a farologaneng, a a kwa bofelong a bontshang gore go na le maemo a a kwa godimo. Thulaganyo ya go kokoanya tshedimosetso e ne ya latela Togamaano ya Bosetšhaba ya Togamaano ya Tlhabololo ya 2030, e e tlhomileng mogopolo mo mafelong a a botlhokwa a a kwa pele go thusa phetogo mo ikonoming e e tala. Babatlisisi ba ne ba thusa babatlisisi, mme go ne ga nna le seabe mo dikgwebong tse di neng di le mo mafelong a a botlhokwa a a kailweng mo go one. Mo kgatong ya tshekatsheko, di-stock, di-golela, go fetofetoga ga maatla, le seelo se se bakang mo thutopatlisisong e, di ne di rulagantswe ka go dirisa palo ya dipalo ya euler ka tshegetso go tswa go Vensim PLE ka maikaelelo a akatemi a go dira didirisiwa tsa go dira. Dipoelo: Dipoelo tsa patlisiso morago ga go kengwa ke tse di latelang: Kelo ya go amogelwa ga ikonomi e tala, kelo ya kamogelo ya kgwebo e e tala, palogotlhe ya kgwebo ya pele, maikaelelo a bogwebi, ditšhono tse di lemogiwang, boitlhamelo, ditiro tse di tala le kgwebo e e matlhagatlhaga. Kamano magareng ga kgwebo e e tala le ikonomi e tala e bontshiwa gammogo le dintlha tse di tsenyang mo mmarakeng wa botala. Seabe, dikatlanegiso le bokhutlo: Thutopatlisiso e na le seabe mo mmeleng wa kitso ka go bontsha kafa mokgwa wa go dira ka teng ga mokgwa wa go dira kgwebo o o tala le tlhaloganyo, segolobogolo thekenoloji ya madirelo le ya mokgatlho, go tokafatsa kamogelo ya ikonomi e e tala mo Aforika Borwa. Se se neng sa dira gore go nne le seabe mo thutong ya ga jaana e ne ya bontsha gore madirelo a, a tla gola fela fa go ka tokafadiwa. Patlisiso e e oketsegileng e na le seabe mo pholising e e tlhotlhomisiwang ya kgwebo e e tala.

Morero le tshepetšo: Ikonomi ye tala ka Afrika Borwa e tšewa bjalo ka selo seo se tlago pele, ka ge go na le tlhokego ya go phološa polanete, go tšwetša pele methopo ya meloko ye e tlago, le go godiša ekonomi. Borakgwebo bjo botala, thutotlhaloganyo ya tikologo le thutotlhaloganyo ya intasteri le ya mokgatlo ka dilentshe tša mafolofolo a tshepedišo di lemogilwe bjalo ka tharollo ya phetogo go ekonomi ye tala. Mokgwa wa go šoma: Mokgwa wo o šomišitšwego mo nyakišišong ye ke mokgwa wa go fetoga ga tshepedišo wo o šomišago datha yeo e hwetšagalago gabonolo inthaneteng ka nepo ya mokgwa wa boleng. Nepišo ke diphetogo tša maemo a togamaano, tšeo mafelelong di sedimošago tlhamo ya pholisi. Tshepetšo ya kgoboketšo ya datha e latetše Lenaneo la Leanotlhabollo la Bosetšhaba la 2030, leo le lebeletšego kudu mafelo a bohlokwa a matala ao a beilwego pele go thuša phetogo ya go ya go ekonomi ye tala. Mafelo a merero ye tala a thušitše monyakišiši, gomme dikelo di ile tša fokotšwa gape go dikgwebo ka gare ga mafelo a bohlokwa ao a lemogilwego ao a beilwego pele. Nakong ya kgato ya tshekatsheko, ditokomane, diphallo, phetogo ye e fetogago, le selo sa lebaka thutong ye di hlamilwe ka go šomiša tekano ya dipalo ya Euler ka thekgo go tšwa go Vensim PLE bakeng sa merero ya thuto ya go dira mohlala wa softwere. Dipoelo: Tše dingwe tša dipoelo tša nyakišišo ye ka morago ga go ekiša ke tše di latelago: tekanyo ya go amogelwa ga ekonomi ye tala, tekanyo ya go amogelwa ga kgwebo ye tala, palomoka ya mošomo wa borakgwebo wa kgato ya mathomo, le kgopolo ya kgwebo ke diphetogo tšeo di ka šomišwago go hlola tshepedišo ya tswalano ya diphedi le tikologo ya tšona ya borakgwebo bjo botala ka Afrika Borwa. Ge diphetogo tša morago di ka phethagatšwa, e tla tšweletša kaonafatšo ye ntši le go amogelwa. Kamano magareng ga kgwebo ye tala ya SA le ekonomi le mabaka ao a tsenyago letsogo mmarakeng wo motala di a ekišwa gomme di hlatsetšwe gore di na le kamano ye botse. Seabe, ditšhišinyo, le phetho: Thuto e tsenya letsogo mmeleng wa tsebo ka go laetša ka fao mokgwa wa go fetoga ga tshepedišo o ka kopanywago ka gona go borakgwebo bjo botala le thutotlhaloganyo, kudukudu thutotlhaloganyo ya intasteri le ya mokgatlo, go kaonafatša go amogelwa ga ekonomi ye tala ka Afrika Borwa. Selo sa go tiiša sa lebaka seo se ekišitšwego thutong ya bjale se laeditše gore intasteri ye e tla gola fela ge diphetogo tše di ka kaonafatšwa. Thuto ya bjale e tlaleletša gape go pholisi ya kgwebo ye tala ye e hlamilwego.