Jurnal Ekonomi & Studi Pembangunan Volume 24 Nomor 1, April 2023 Article Type: Research Paper The impact of the provincial minimum wage on environmental quality in indonesia Siti Aminatul Ahadiyah and Andryan Setyadharma Abstract: This research aims to determine the relationship between provincial minimum wages, poverty, unemployment, and income inequality to the environmental quality index (EQI). This research also aims to demonstrate if the Environmental Kuznet Curve (EKC) hypothesis is applicable in Indonesia. This research utilized secondary data collected from 33 provinces in Indonesia between 2012 and 2021. This research used panel regression with Fixed Effect Model (FEM) as the research method. The research results indicated that the provincial minimum wages and poverty positively and significantly affected the EQI. The results also demonstrated that the EKC hypothesis holds true in Indonesia, as illustrated by the significance of the GRDP per capita and GRDP per capita squared. Meanwhile, this research showed that unemployment and income inequality did not significantly impact the environmental quality index. This study offered a new analysis on the impact of provincial minimum wage on EQI in Indonesia. Therefore, this study has contributed to the additional information to the body of knowledge. The government needs to strive for an increase in the development and use of environmentally friendly products, as well as optimization of environmental protection programs. In addition, government needs to increase the provincial minimum wage according to limits set to improve environmental quality. The limited variables and research methods used are expected that further research can complement this study. Keywords: Environmental Quality Index; Environmental Kuznet Curve Hypothesis; Economic Development; Economic Growth JEL Classification: O44; Q56 Introduction Indonesia is one of the fastest-growing economies in Southeast Asia in the first quarter of 2019 (Azwardi et al, 2022). This suggests that Indonesia's economy is doing well, which will lead to faster economic development. The good results of economic progress, however, really have a bad effect on the state of the environment. According to Sumarni (2019), as a result of the unrestrained use of natural resources, Indonesia's rapid economic expansion may cause a decline in environmental quality. In line with this, according to Pertiwi et al (2021), as a result of economic activity, environmental quality suffers as a result of economic expansion. Therefore, Chen et al (2021), according to his research, improving the quality of life through economic expansion while also protecting the environment is a major challenge. According Rifa'i and Dewi (2018) even while economic AFFILIATION: Department of Development Economics, Faculty of Economics and Business, Universitas Negeri Semarang, Central Java, Indonesia *CORRESPONDENCE: aminatulahadiyah44@students. unnes.ac.id THIS ARTICLE IS AVALILABLE IN: http://journal.umy.ac.id/index.php/esp DOI: 10.18196/jesp.v24i1.17616 CITATION: Ahadiyah, S. A., & Setyadharma, A. (2023). The impact of the provincial minimum wage on environmental quality in indonesia. Jurnal Ekonomi & Studi Pembangunan, 24(1), 212-224. ARTICLE HISTORY Received: 18 Jan 2023 Revised: 24 May 2023 06 Jun 2023 Accepted: 13 Jun 2023 https://scholar.google.com/citations?user=i8iXh9wAAAAJ&hl=en https://ep.unnes.ac.id/web/ https://ep.unnes.ac.id/web/ https://ep.unnes.ac.id/web/ https://ep.unnes.ac.id/web/ mailto:aminatulahadiyah44@students.unnes.ac.id mailto:aminatulahadiyah44@students.unnes.ac.id http://journal.umy.ac.id/index.php/esp http://dx.doi.org/10.18196/jesp.v24i1.17616 https://creativecommons.org/licenses/by-sa/4.0/ https://crossmark.crossref.org/dialog/?doi=10.18196/jesp.v24i1.17616&domain=pdf Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 213 expansion and the associated impact on the environment expand simultaneously, there is a trade-off between the two. In addition to human activities, a nation's development activities can contribute to a decline in environmental quality (Noormalitasari & Setyadharma 2021). According to Zhu et al (2022), development is the enhancement of a community's quality of life and well- being via the provision of access to resources to which it is entitled. One of the indications of economic development is economic growth accompanied by improvements in economic and social structure. Not just strong economic growth, but also income disparity, equitable investment, enough employment opportunities, and low poverty rates are necessary for a nation's economic development to be successful (Nuraini & Hariyani, 2019). Development is seen successful if it emphasizes indicators of sustainable development, notably by paying close attention to social and environmental factors (Kartiasih & Pribadi, 2020). According to Pertiwi et al (2021), if development just seeks to improve social welfare and is improperly carried out, it will have a detrimental effect on the biological systems of all organisms. Some developing countries frequently encounter a variety of significant environmental concerns, such as climate change and risks to natural and biological resources (Masron & Subramaniam, 2018). This issue also exists in the growing nation of Indonesia. According to KLHK (2020), Indonesia had a decline in the amount of wooded land from 95.7 Ha in 2014 to 94.1 Ha in 2019 throughout that time period. This is because different sections of Indonesia's forests have been damaged as a result of changing land use. Jambeck et al (2015), according to his findings, Indonesia really contributes the second-highest amount of plastic debris to the ocean behind China. The marine biodiversity of Indonesia may be threatened and harmed by the pollution of the sea by plastic garbage. In addition, environmental quality in various provinces of Indonesia is unequal. Several provinces in western Indonesia have a high alert level and poor environmental quality, whereas regions in eastern Indonesia have excellent environmental quality (Sumargo & Haida, 2020). Even Jakarta, Indonesia's capital and economic center, was requested to be the city with the worst environmental pollution (Azwardi et al, 2022). Table 1 The Water Quality Index, Air Quality Index, Land Cover Quality Index, and Environmental Quality Index Indonesia 2012-2021 Year Water Quality Index Air Quality Index Land Cover Quality Index EQI 2012 54,58 79,61 59,26 63,96 2013 51,82 80,17 59,01 63,20 2014 52,19 80,54 59,01 63,42 2015 65,86 83,84 58,30 68,23 2016 60,38 81,61 57,83 65,73 2017 58,68 87,03 56,88 66,46 2018 72,77 84,74 61,03 71,67 2019 52,62 86,56 62,00 66,55 2020 53,53 87,21 59,54 70,27 2021 52,82 87,36 60,72 71,45 Source: Ministry of Environment and Forestry of the Republic of Indonesia (2021) Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 214 The Environmental Quality Index (EQI) released by the Ministry of Environment and Forestry of the Republic of Indonesia is used to quantify environmental quality in Indonesia. The EQI is an indicator that describes the status of the national environmental management outcomes from all provinces in Indonesia. It comprises the Water Quality Index, Air Quality Index, and Land Cover Quality Index (Ministry of Environment and Forestry, 2019). Although in 2021 the Environmental Quality Index (EQI) in Indonesia increased compared to 2012, the achievement over the past ten years from 2012 to 2021 did not always experience an increase each year, but only showed a tendency to increase. This condition means that EQI achievements still did not meet the expected targets, and there were still obstacles to improving the EQI in Indonesia. This also applied to the indicators that make up the EQI itself, where the Water Quality Index, Air Quality Index, and Land Cover Quality Index also experienced fluctuating development from 2012 through 2021. The Water Quality Index over the past ten years has actually shown a decreasing trend. This decline is due to household activities, large industries, small-scale businesses, and agricultural and livestock activities, resulting in high water pollution levels. Meanwhile, the Air Quality Index experienced a significant increase in 2020, amounting to 3,37 points, but there were still decreases in some years such as 2016 and 2018. This decline indicates that there are still problems in controlling air pollution in Indonesia. In addition, the Land Cover Quality Index also experienced fluctuating development during the period of 2012- 2021. This is due to various problems found in the field related to the damage of forest and land areas that affect the quality of land cover in Indonesia. The environmental Kuznets curve (EKC) is a hypothesis that explains the relationship between environmental quality proxies and per capita income proxies and has an inverted U shape (Setyadharma et al, 2020). This is due to the fact that during the early stages of development environmental concerns were ignored and environmentally friendly energy sources were not readily available. As a result of economic growth, an understanding of environmental quality maintenance became crucial during the subsequent stages of development advancing science and engineering (Nuansa & Widodo, 2018). Therefore, an inverted U-curve exists between economic expansion and environmental deterioration according to the EKC hypothesis. Research Darwanto et al (2019) argued that the EKC hypothesis demonstrated a process of structural transformation concurrent with economic growth. The relationship between poverty and other areas of life includes the environment. According to Tasri et al (2022), poverty, as one of the economic variables, impacts the quality of the environment. Research conducted by Baloch et al (2020), in Sub-Saharan African nations, rising poverty has an effect on rising CO2 emissions. Efforts to reduce poverty are therefore declared a development priority in both developing and rich nations, even as the first Sustainable Development Goal. According to Mansi et al (2020), due to the vast quantity of natural resources required to satisfy human needs, the exodus of poor people can be detrimental to the environment. This statement contradicts the findings of research by Heger et al (2018) who discovered that when the quality of the Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 215 environment improves, the buildup of trash accelerates and becomes more significant. Based on data from the Central Statistics Agency from 2012 to 2021, the number of poor people in Indonesia has shown a decreasing trend, where in 2012 the percentage of poor people in Indonesia reached 11,66 percent, and in 2021 it was 9,71 percent. The decrease in poverty rates in Indonesia is due to the success of poverty reduction programs implemented by the government. In tandem with a rise in economic growth, employment possibilities are rising and the rate of violence is falling, which has a detrimental effect on the environment (Zulfikar et al, 2021). Unemployment is a development issue that is also tied to environmental quality. Unemployment happens when the number of available jobs does not match the size of the work force. One-third of jobs in G20 nations are impacted by environmental sustainability and good management, therefore the world of work is intrinsically tied to the natural environment (ILO, 2018). The open unemployment rate reveals the level of unemployment in Indonesia, as it represents the proportion of jobless to the work force (BPS - Statistics Indonesia, 2020). During the period from 2012 to 2019, unemployment in Indonesia showed a tendency to decrease. However, as a result of the pandemic that occurred, in 2020 the unemployment rate in Indonesia experienced a significant increase, even exceeding the unemployment rate in 2015. Additionally, economic activity influences the degradation of environmental quality (Setyadharma et al, 2021; A’yun & Khasanah, 2022). Consumption is one of the economic activity that impedes the development of environmental quality. According to Salo et al (2021), in order to reduce the effects of climate change, household spending habits must be taken into account. Ivanova et al (2016) more than 60% of greenhouse gas emissions are a result of home use, hence special consideration must be given to the environmental effects created. Wage income is one of the necessary prerequisites for consumption. The magnitude of a person's earnings affects his or her consuming behavior. Wage receipts in Indonesia are partly determined by the provincial minimum wage set by the government. Therefore, a research must be conducted to assess how the provincial minimum wage affects environmental quality. The Sustainable Development Goals also evaluate the environmental consequences of economic disparity (Hasan et al, 2021). Although income inequality in Indonesia during the period fromed to decrease, the inequality that occurs in various regions of Indonesia still remains a prthat must be addressed. Like poverty, if inequality is not reduced immediately, it can have an increasingly significant impact on the environment. Because income inequality is believed to have an impact on the quality of the environment, income inequality and sustainable development are interrelated. Both are reflected in the Sustainable Development Goals where income inequality and increasing environmental degradation pose serious threats to human well-being (Baloch et al, 2020). The condition of the Indonesian economy shows an increasingly positive trend. Problems such as poverty, unemployment, and income inequality have tended to decrease, which should have a positive impact on environmental quality. However, on the other hand, there are still various environmental issues in Indonesia that need to be addressed. Given Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 216 these problems, this study aims to determine the impact of provincial minimum wage, poverty, unemployment, and income inequality on environmental quality in Indonesia, and to test whether the EKC hypothesis holds true there. It is crucial to conduct this research since environmental concerns are not given sufficient consideration in developing nations (Masron & Subramaniam, 2018). Related study is still rarely performed. Therefore, further study is needed to determine how economic activities influence environmental quality. In addition, this study offers a new analysis of the impact of provincial minimum wages on EQI in Indonesia. Because, to the best of our knowledge, no research has ever been completed to examine the influence of the provincial minimum wage on environmental quality in Indonesia. Therefore, this study contributes the additional information to the body of knowledge. Research Method This research provided use of secondary data in the form of panel data, specifically a combination of time series and cross section data from 33 provinces in Indonesia (excluding North Kalimantan) from 2012 to 2021, obtained from the BPS - Statistics Indonesia and the Ministry of Environment and Forestry of the Republic of Indonesia in 2022. The Environmental Quality Index was the dependent variable, whereas the provincial minimum wage, GRDP per capita, percentage of poor people, open unemployment rate, and gini index were the independent variables. The following table provides an explanation for each variable employed. Table 2 The Variables Used in the Model Variable Definition Source Environmental Quality Index A generalization of Indonesia's environmental circumstances using the water quality index, air quality index, and land cover quality index Ministry of Environment and Forestry (2022) Provincial Minimum Wage The amount of the minimum wage applicable in all Indonesian provinces (rupiah) BPS - Statistics Indonesia (2022) GRDP per capita The ratio of the value of GRDP to the total population of an area over a specific time period is known as GRDP per capita at constant prices (thousands of rupiah) BPS - Statistics Indonesia (2022) Percentage of Poor People Percentage of people living in poverty (percent) BPS - Statistics Indonesia (2022) Open Unemployment Rate Unemployment rate as a proportion of the total work force (percent) BPS - Statistics Indonesia (2022) Gini Index The gini index is used to measure the degree of inequality in population distribution. BPS - Statistics Indonesia (2022) The method of panel data regression was selected as the analytical tool, thus it was required to choose the optimal model. To assess the relationship between economic growth and environmental deterioration, the econometric model derived from the EKC hypothesis employs a quadratic form (Setyadharma et al, 2020). The trade-off that arises Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 217 between environmental quality and economic growth is described by quadratic regression modeling (Sari, 2022). This is the econometric model that was used: LOG(EQI)it = ∝0 + β1LOG(WAGE)it + β2LOG(GRDPpercapita)it + β3LOG(GRDPpercapita)²it + β4(POV)it+ β5(UNEMP)it+ β6LOG(GINI)it +eit In the econometric model above, EQI is environmental quality index; WAGE is provincial minimum wage, GRDPpercapita is Gross Regional Domestic Product per capita, GRDPpercapita² is the quadratic form of Gross Regional Domestic Product per capita, POV is percentage of poor people, UNEMP is open unemployment rate, GINI is gini index, Log is logarithm function, i and t are provinces and periods (2012-2021), ∝0 is the constant, 𝛽1… 𝛽6 is the coefficient of the independent variables, and eit is the error term. Result and Discussion The aims of this research, which employed a quantitative strategy in the form of panel data regression, was to demonstrate the validity of the EKC hypothesis in Indonesia and to ascertain the impact of various variables on the EQI in Indonesia, including provincial minimum wage, poverty, unemployment, and income inequality. The data utilized was secondary data from 33 provinces in Indonesia from 2012 to 2021 obtained from the Ministry of Environment and Forestry of the Republic of Indonesia for 2022 and the Central Statistics Agency. The descriptive statistic for each of the utilized variables is as follows. Table 3 Descriptive statistics EQI GRDP per capita POV UNEMP WAGE GINI Means 67.59327 38483.58 11.31206 5.326818 1958966 0.362536 Median 69.22500 29617.78 10.16000 4.930000 1898184 0.360500 Maximum 91.50000 174963.0 31.53000 10.95000 4416186 0.459000 Minimum 35.66000 10030.98 3.420000 1.400000 745000.0 0.247000 std. Dev 9.757518 30047.36 5.917635 1.982110 683601.2 0.039841 Skewness - 0.668872 2.653689 1.018798 0.696390 0.462090 0.083919 kurtosis 3.568285 10.01011 3.711943 2.954109 2.977315 2.650152 Jarque-Bera 29.04699 1063011 64.05659 26.70173 11.75109 2.070241 probability 0.000000 0.000000 0.000000 0.000002 0.002807 0.355184 sum 22305.78 12699582 3732.980 1757.850 6.46E+08 119.6370 Sum Sq. Dev 31323.81 2.97E+11 11521.06 1292.562 1.54E+14 0.522236 Observations 330 330 330 330 330 330 Table 3 shows that the observations in this study totaled 330. The average EQI was 67.59 with a maximum value of 91.50 and a minimum value of 35.66. The average value of GRDP per capita was 38483.58, while the maximum and minimum values were 174963.0 and 10030.98, respectively. Percentage of poor people had an average of 11.31206, a maximum value of 31.53000, and a minimum value of 3.420000. The open unemployment Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 218 rate value ranged from 1.40 to 10.95, with an average value of 5.326818. With an average value of 1958966, a maximum value of 4416186, and a minimum value of 745000.0, these numbers represented the provincial minimum wage. The minimum and maximum values of gini index were 0.247000 and 0.459000, respectively, while the average is 0.362536. There were three tests that must be passed to get the best model between the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM), i.e., Chow test, Haussman test, and Lagrange Multiplier test. The acquisition of the best model between the Common Effect Model (CEM) and the Fixed Effect Model (FEM) was carried out through a Chow test. In the Chow test, H0 predicts that if the probability value is > 5%, the CEM model will be the best model, while H1 predicts that if the probability value is < 5%, the FEM model would be the best model. Table 4 reveals that the probability is 0.0000, or < 5% significance, indicating that H1 was accepted and H0 was rejected. As a result of the Chow test, we can infer that the Fixed Effect Model (FEM) was the best model. Table 4 Chow Test Results and Haussman Test Chow test Effect Test Statistics c Prob. Cross-section F 26.573095 0.0000 Haussman test Test Summary Chi-Sq. Statistics Prob. Random cross-sections 23.282046 0.0007 The Haussman test was then performed to determine the best model between FEM and REM. H0 indicated that REM was the best model if the result probability was > 5%, whereas H1 stated that FEM was the best model if the probability was < 5%. The findings presented in the Table 4 indicated that the probability value was 0.0000, or <5%. Therefore, H0 was rejected and H1 was accepted, so the optimal model was the Fixed Effect Model (FEM). Based on the findings of the Chow test and the Haussman test, it can be stated that the Fixed Effect Model was the most appropriate model for this research (FEM). Here is the estimation outcome Fixed Effect Model (FEM) with the Generalized Least Square method. The estimation results of the Fixed Effect Model (FEM) in Table 5, the R-Squared value was 0.841969, meaning that 84,19% of the variation in the environmental quality index variable can be explained by the variation in the set of variables including provincial minimum wage, GRDP per capita, the percentage of the poor population, the open unemployment rate, and gini index. While the 15.81% was explained by variations in other variables outside the model. The probability value of the F-Statistics test was 0.000000, which can be seen from the F-Statistics test results in Table 5. This number was significant at ∝ =5 percent. Thus, together, the variables of provincial minimum wage, GRDP per capita, the percentage of the poor people, the open unemployment rate, and gini index significantly affected EQI. Meanwhile, the t-statistics in Table 5 explains that there were several independent variables that did not have a statistically significant effect on the environmental quality index, namely the open unemployment rate and the gini index, because the calculated t-values of these variables were higher than α = 5%. Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 219 Table 5 Estimation Results Fixed Effect Model (FEM) with the Generalized Least Square Method Variable Coefficient Std. error t-Statistics Prob. C 15.85808*** 3.286694 4.824933 0.0000 LOG(WAGE) 0.140216*** 0.021546 6.507628 0.0000 LOG(GRDPpercapita) -2.703686*** 0.670790 -4.030603 0.0001 LOG(GRDPpercapita)^2 0.131755*** 0.034543 3.814243 0.0002 POV 0.011875** 0.004713 2.519667 0.0123 UNEMP 0.002337 0.004602 0.507921 0.6119 LOG(GINI) -0.003638 0.052254 -0.069627 0.9445 R- squared 0.841969 F-statistic 40.80016 Adjusted R-squared 0.821332 Prob(F- statistic) 0.000000 Note: *** significant at α = 1%; ** significant at α = 5% This research confirmed that the Environmental Kuznet Curve (EKC) hypothesis applied in Indonesia. This was evidenced by the significant results of the per capita GRDP and squared per capita GRDP variables. If GRDP per capita grew by 1%, EQI fell by 2.703686%, and vice versa. Up to the turning point, when Indonesia's per capita GRDP increased by 1%, the environmental quality index also increased by 0.131755%, and vice versa, assuming ceteris paribus. These results strengthened the research by Setyadharma et al (2020) and confirmed the EKC hypothesis in Indonesia. Meanwhile, this research did not support study by Iskandar (2019) who found that EKC did not exist in Indonesia. Nonetheless, this research strengthened the research by Sari (2022) who determined that the EKC hypothesis applies to nearly all islands in Indonesia. This finding was also consistent with other studies by Adila et al (2021), Prasetyanto and Sari (2021), Bashir et al (2021), and Prastiyo et al (2020). This verifies the EKC hypothesis's presence in Indonesia. The turning point in the Environmental Kuznets Curve (EKC) hypothesis can be achieved due to the transformation of the economic structure in Indonesia, from previously relying on the primary sector including agriculture, fisheries, and mining, to now shifting towards the secondary sector such as manufacturing, construction, services, and trade (Prasetyanto & Sari, 2021). This was evidenced by the 2021 Indonesian economic report released by the Central Statistics Agency, in which the agricultural sector became the second largest contributor to Indonesia's economic growth at 13,70% in 2020, just below the manufacturing sector which reached 19,88%. Even in 2017, the contribution of the processing industry to Indonesia's GDP was 20,16%, while the agricultural sector was only 13,16%. The economic transformation that occurred was certainly accompanied by various environmental protection programs in Indonesia. These programs include the green leadership program, waste management, environmental preservation, and environmental development (Rahayu & Handri, 2023). The success and sustainable implementation of these programs will improve the quality of the environment in Indonesia. The improvement of environmental quality, accompanied by an increase in income, is the second stage of economic development described in the Environmental Kuznets Curve hypothesis (Setyadharma et al 2020). Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 220 The provincial minimum wage had a substantial beneficial impact on the EQI. The estimation findings indicated a value of 0.140216%, which indicated that when the provincial minimum wage increased by 1%, there was a substantial increase of 0.140216% in the EQI, assuming ceteris paribus. According to our knowledge, no previous research had described the influence of the provincial minimum wage on environmental quality. Provincial minimum wages in Indonesia tended to increase over the past several years, in which increases were adjusted to economic and employment conditions in each region. This was intended as one of the efforts to improve the welfare of workers. However, the government limited the minimum wage increase to a maximum of 10%. The provincial minimum wage has an impact on an individual's income. Higher salaries encourage environmentally responsible purchase (Setyadharma et al, 2020). Therefore, an increase in provincial minimum wage can be one of the steps towards achieving the Sustainable Development Goals. According to Mair et al (2019), paying higher wages throughout the global supply chain can be an initial effort in achieving sustainable development. Through his efforts to enhance the condition of the environment, pro-environmental conduct is often possessed by those with a greater wealth (Moser & Kleinhückelkotten, 2018). Poverty had a positive significant effect on the environmental quality index with a coefficient value of 0.111875. When poverty increased by 1%, EQI increased by 0.111875%, and vice versa assuming ceteris paribus. The results of this study are in line with previous research by Setyadharma et al (2020). Meanwhile, this study is not in line with Pertiwi et al (2021) and Tasri et al (2022) which concluded that poverty does not have an effect on environmental quality index. However, this study differs from the research of Shanty et al (2018) ; Noormalitasari & Setyadharma (2021) ; Sumargo & Haida (2020) that concluded that poverty has a negative and significant effect on the environmental quality index. This is a challenge and certainly a dilemma for the government. Because if the government wants to reduce the level of poverty in Indonesia, then the government must also accept the consequence that environmental quality will decrease. Unemployment did not have a significant effect on the environmental quality index because the probability value generated was greater than α = 5 percent, which was 0,6119. The results of this study are the same as the research of Adesina & Mwamba (2019). However, this study is not in line with the research Ng et al (2022) that concluded that low levels of unemployment have a negative impact on environmental quality in OECD member countries. This study also concludes that income inequality did not have a significant effect on the environmental quality index because the probability value was greater than α = 5 percent, which was 0,9445. The results of this study are in line with previous research by Prasetyanto & Sari (2021) and Hundie (2021). However, this study differs from the research of Pertiwi et al (2021) and Noormalitasari & Setyadharma (2021) that concluded that income inequality has a negative effect on the environmental quality index. Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 221 Conclusion The aim of this research was to verify the relationship between provincial minimum wages, poverty, unemployment, and income inequality with the environmental quality index (EQI). This study also aimed to prove whether the Environmental Kuznet Curve (EKC) hypothesis applies in Indonesia. This study used secondary data from 33 provinces in Indonesia which were sourced from the Central Statistics Agency and the Ministry of Environment and Forestry of the Republic of Indonesia. The data used were provincial minimum wages, percentage of poor people, open unemployment rate, gini index, GRDP per capita, and the environmental quality index from 2012 to 2021. The research method used was panel regression with the fixed effect model as the best model. The estimation results showed that the provincial minimum wage had a significant positive effect on the environmental quality index in Indonesia and indicated that the EKC hypothesis held true in Indonesia, as shown by the statistically significant results of GRDP per capita, followed by the significant results of GRDP per capita squared, which are supported by previous studies. This research also concludes poverty had a significant positive effect on the environmental quality index in Indonesia. However, unemployment and income inequality had no significant impact on Indonesia's environmental quality index. In accordance with these results, environmental quality maintenance in Indonesia has been well implemented in line with increased economic growth. Therefore, improving the quality of the environment and increasing economic growth in Indonesia must continue. The adoption of environmentally friendly products can be done comprehensively in Indonesia to achieve production efficiency based on sustainable development principles. Additionally, it is necessary to optimize environmental protection programs that have been established to improve the quality of the environment for all Indonesian citizens. The government must also be pushed to enact rules that promote the use of ecologically friendly items without negatively impacting the poor. To improve the quality of the environment in Indonesia, it is also recommended that the government progressively raise the provincial minimum wage which is no more than 10%, and by considering the economic and employment conditions in their respective regions. There are still limitations in this study, so further studies are expected to comprehensively explain the existence of EKC in Indonesia by involving more complex variables and using other methods and the latest years to complement this study. References Adila, D., Nuryartono, N., & Oak, M. (2021). The Environmental Kuznets Curve for Deforestation in Indonesia. Economics and Finance in Indonesia, 67(2), 195. https://doi.org/10.47291/efi.v67i2.671 A’yun, I. Q., & Khasanah, U. (2022). The Impact of Economic Growth and Trade Openness on Environmental Degradation: Evidence from A Panel of ASEAN Countries. Jurnal Ekonomi & Studi Pembangunan, 23(1), 81–92. https://doi.org/10.18196/jesp.v23i1.13881 https://doi.org/10.47291/efi.v67i2.671 Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 222 Azwardi, A., Sukanto, S., Nazeli, A., & Arika, K. (2022). Environmental Quality in Indonesia: Disruption by Economic Agents. Asian Journal of Business Environment, 12(1), 17–24. Baloch, M. A., Danish, Khan, S. U.-D., Ulucak, Z. Ş., & Ahmad, A. (2020). Analyzing the relationship between poverty, income inequality, and CO2 emission in Sub-Saharan African countries. Science of The Total Environment, 740, 139867. https://doi.org/10.1016/j.scitotenv.2020.139867 Bashir, A., Didik, Susetyo, D., Suhel, S., & Azwardi, A. (2021). Relationships Between Urbanization, Economic Growth, Energy Consumption, and CO2 Emissions: Empirical Evidence From Indonesia. Journal of Asian Finance, Economics and Business, 8(3), 79-90. BPS - Statistics Indonesia. (2020). Labor Force Situation in Indonesia August 2020. Retrieved from https://www.bps.go.id/publication/2020/11/30/307a288d678f91b9be362021/keadaa n-angkatan-kerja-di-indonesia-agustus-2020.html Chen, Z., Ma, Y., Hua, J., Wang, Y., & Guo, H. (2021). Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016. International Journal of Environmental Research and Public Health, 18(16), 8559. https://doi.org/10.3390/ijerph18168559 Darwanto, D., Woyanti, N., Budi, S. P., Sasana, H., & Ghozali, I. (2019). The Damaging Growth: An Empiric Evidence Of Environmental Kuznets Curve In Indonesia. International Journal of Energy Economics and Policy, 9(5), 339–345. https://doi.org/10.32479/ijeep.7816 Hasan, M. ul ., Saifullah, S., Hussain, S. ., & Ali, H. . (2021). Environmental Quality, Income Inequality and Economic Growth: Empirical Evidence from Five SAARC Countries. Review of Education, Administration & Law, 4(3), 575-585. Retrieved from https://real.spcrd.org/index.php/real/article/view/173 Heger, M., Zens, G., Bangalore, M., & Heger, M. P. (2018). Does the Environment Matter for Poverty Reduction? The Role of Soil Fertility and Vegetation Vigor in Poverty Reduction. https://doi.org/10.1596/1813-9450-8537 Idris, I., & Sari, Y. P. (2022). Economic Growth And The Quality Of Environment: Evidence Of The Environmental Kuznets Curve (Ekc) In Indonesia. Ekonomi Bisnis, 27(1), 12-23. Retrieved from http://journal2.um.ac.id/index.php/ekobis/article/view/26707 ILO. (2018). The employment impact of climate change adaptation. Retrieved from https://www.ilo.org/global/topics/green-jobs/WCMS_645572/lang--en/index.htm Iskandar, A. (2019). Economic Growth And CO2 Emissions in Indonesia : Investigating the Environmental Kuznets Curve Hypothesis Existence. Jurnal BPPK: Badan Pendidikan Dan Pelatihan Keuangan, 12(1), 42-52. https://doi.org/https://doi.org/10.48108/jurnalbppk.v12i1.369 Ivanova, D., Stadler, K., Steen-Olsen, K., Wood, R., Vita, G., Tukker, A., & Hertwich, E. G. (2015). Environmental Impact Assessment of Household Consumption. Journal of Industrial Ecology, 20(3), 526–536. Portico. https://doi.org/10.1111/jiec.12371 Jambeck, J. R., Geyer, R., Wilcox, C., Siegler, T. R., Perryman, M., Andrady, A., Narayan, R., & Law, K. L. (2015). Plastic waste inputs from land into the ocean. Science, 347(6223), 768–771. https://doi.org/10.1126/science.1260352 Kartiasih, F., & Pribadi, W. (2020). Environmental Quality And Poverty Assessment In Indonesia. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 10(1), 89–97. https://doi.org/10.29244/jpsl.10.1.89-97 https://doi.org/10.1016/j.scitotenv.2020.139867 https://www.bps.go.id/publication/2020/11/30/307a288d678f91b9be362021/keadaan-angkatan-kerja-di-indonesia-agustus-2020.html https://www.bps.go.id/publication/2020/11/30/307a288d678f91b9be362021/keadaan-angkatan-kerja-di-indonesia-agustus-2020.html https://doi.org/10.3390/ijerph18168559 https://doi.org/10.32479/ijeep.7816 https://real.spcrd.org/index.php/real/article/view/173 https://doi.org/10.1596/1813-9450-8537 http://journal2.um.ac.id/index.php/ekobis/article/view/26707 https://www.ilo.org/global/topics/green-jobs/WCMS_645572/lang--en/index.htm https://doi.org/https:/doi.org/10.48108/jurnalbppk.v12i1.369 https://doi.org/10.1111/jiec.12371 https://doi.org/10.1126/science.1260352 https://doi.org/10.29244/jpsl.10.1.89-97 Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 223 Mansi, E., Hysa, E., Panait, M., & Voica, M. C. (2020). Poverty—A Challenge for Economic Development? Evidences from Western Balkan Countries and the European Union. Sustainability, 12(18), 7754. https://doi.org/10.3390/su12187754 Masron, T. A., & Subramaniam, Y. (2018). Does Poverty Cause Environmental Degradation? Evidence from Developing Countries. Journal of Poverty, 23(1), 44–64. https://doi.org/10.1080/10875549.2018.1500969 Ministry of Environment and Forestry of the Republic of Indonesia (2021). Environment and Forestry Status. Retrieved from https://www.menlhk.go.id/site/single_post/4462/status-lingkungan-hidup-dan- kehutanan Ministry of Environment and Forestry of the Republic of Indonesia. (2019). Indeks Kualitas Lingkungan Hidup Indonesia 2019. Retrieved from https://www.menlhk.go.id//site/download_file?file=1609312579.pdf Moser, S., & Kleinhückelkotten, S. (2017). Good Intents, but Low Impacts: Diverging Importance of Motivational and Socioeconomic Determinants Explaining Pro- Environmental Behavior, Energy Use, and Carbon Footprint. Environment and Behavior, 50(6), 626–656. https://doi.org/10.1177/0013916517710685 Noormalitasari, A., & Setyadharma, A. (2021). Determinants of Environment Quality Index In Indonesia. Efficient: Indonesian Journal of Development Economics, 4(2), 1174-1187. Retrieved from https://journal.unnes.ac.id/sju/index.php/efficient/article/view/45107 Nuansa, C. G, & Widodo, W. (2018). Environmental Kuznets Curve Hypothesis: A Perspective of Sustainable Development in Indonesia. E3S Web of Conferences, 31, 09021. https://doi.org/10.1051/e3sconf/20183109021 Nuraini, I., & Hariyani, H. F. (2019). Quality Economic Growth as an Indicator of Economic Development. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 20(1), 80–86. https://doi.org/10.23917/jep.v20i1.7104 Pertiwi, A. B., Juwita, A. H., & Suryanto, S. (2021). Effects of Poverty, Income Inequality and Economic Growth to Environmental Quality Index (EQI) in 33 Province in Indonesia 2014-2019. Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi, 16(2), 154–163. https://doi.org/10.24269/ekuilibrium.v16i2.2021.pp154-163 Prasetyanto, P. K., & Sari, F. (2021). Environmental Kuznets Curve: Economic Growth With Environmental Degradation In Indonesia. International Journal of Energy Economics and Policy, 11(5), 622–628. https://doi.org/10.32479/ijeep.11609 Prastiyo, S. E., Irham, Hardyastuti, S., & Jamhari. (2020). How agriculture, manufacture, and urbanization induced carbon emission? The case of Indonesia. Environmental Science and Pollution Research, 27(33), 42092–42103. https://doi.org/10.1007/s11356-020-10148-w Rifa’i, A., & Dewi, N. R. (2018). Environmental quality and economic growth: Evidence from 10 ASEAN countries. Sustinere: Journal of Environment and Sustainability, 2(2), 65–75. https://doi.org/10.22515/sustinere.jes.v2i2.36 Salo, M., Savolainen, H., Karhinen, S., & Nissinen, A. (2021). Drivers of household consumption expenditure and carbon footprints in Finland. Journal of Cleaner Production, 289, 125607. https://doi.org/10.1016/j.jclepro.2020.125607 Setyadharma, A., Oktavilia, S., Nihayah, D. M., Bowo, P. A., & Wahyuningrum, I. F. S. (2020). The trade-off between Poverty and Environmental Degradation: Evidence from Indonesia. IOP Conference Series: Earth and Environmental Science, 448(1), 012065. https://doi.org/10.1088/1755-1315/448/1/012065 Setyadharma, A., Oktavilia, S., Sri Wahyuningrum, I. F., Nikensari, S. I., & Saputra, A. M. (2021). Does Inflation Reduce Air Pollution? Evidence from Indonesia. E3S Web of Conferences, 317, 01068. https://doi.org/10.1051/e3sconf/202131701068 https://doi.org/10.3390/su12187754 https://doi.org/10.1080/10875549.2018.1500969 https://www.menlhk.go.id/site/single_post/4462/status-lingkungan-hidup-dan-kehutanan https://www.menlhk.go.id/site/single_post/4462/status-lingkungan-hidup-dan-kehutanan https://www.menlhk.go.id/site/download_file?file=1609312579.pdf https://doi.org/10.1177/0013916517710685 https://journal.unnes.ac.id/sju/index.php/efficient/article/view/45107 https://doi.org/10.1051/e3sconf/20183109021 https://doi.org/10.23917/jep.v20i1.7104 https://doi.org/10.24269/ekuilibrium.v16i2.2021.pp154-163 https://doi.org/10.32479/ijeep.11609 https://doi.org/10.1007/s11356-020-10148-w https://doi.org/10.22515/sustinere.jes.v2i2.36 https://doi.org/10.1016/j.jclepro.2020.125607 https://doi.org/10.1088/1755-1315/448/1/012065 https://doi.org/10.1051/e3sconf/202131701068 Ahadiyah & Setyadharma The impact of the provincial minimum wage on environmental quality in indonesia Jurnal Ekonomi & Studi Pembangunan, 2023 | 224 Setyadharma, A., Oktavilia, S., Tika Atmadani, Y., & Fajarini Sri Wahyuningrum, I. (2020). A New Insight of the Existence of the Environmental Kuznets Curve in Indonesia. E3S Web of Conferences, 202, 03023. https://doi.org/10.1051/e3sconf/202020203023 Shanty, O., Dita, W. P., Firmansyah, & Sugiyanto, F. (2018). The Relationship Between Environmental Degradation, Poverty and Human Quality in Indonesia. E3S Web of Conferences, 73, 10020. https://doi.org/10.1051/e3sconf/20187310020 Sumargo, B., & Haida, R. N. (2020). Linkages between Economic Growth, Poverty and Environmental Quality in Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 21(1), 47–59. https://doi.org/10.23917/jep.v21i1.8262 Sumarni, N. (2019). Environmental Kuznets Curve for Environmental Quality in Indonesia: A Spatial Econometric Approach. Working Papers in Economics and Development Studies (WoPEDS) 201908. Department of Economics, Padjadjaran University, revised Dec 2019. Tasri, E. S., Karimi, K., Muslim, I., & Dwianda, Y. (2022). The influence of economic growth, energy consumption, poverty and population on Indonesia’s environmental quality index. KnE Social Sciences, 7(6), 306–319. https://doi.org/10.18502/kss.v7i6.10634 Zhu, Y., Bashir, S., & Marie, M. (2022). Assessing the Relationship between Poverty and Economic Growth: Does Sustainable Development Goal Can be Achieved? Environmental Science and Pollution Research, 29(19), 27613–27623. https://doi.org/10.1007/s11356-021-18240-5 Zulfikar, R., Yulianti, F., Wicaksono, T., & Mayvita, P. A. (2021). The Economic Development Impact To Environment Quality : Kuznet’s Curve Hyphothesis and Non Linier Regression Approach. International Journal of Science, Technology & Management, 2(3), 864–874. https://doi.org/10.46729/ijstm.v2i3.205 https://doi.org/10.1051/e3sconf/202020203023 https://doi.org/10.1051/e3sconf/20187310020 https://doi.org/10.23917/jep.v21i1.8262 https://doi.org/10.18502/kss.v7i6.10634 https://doi.org/10.1007/s11356-021-18240-5 https://doi.org/10.46729/ijstm.v2i3.205